Airport security

At the end of September 2019, eleven professional application developer companies, primarily from Nordic countries, got together in Stockholm to demonstrate their creations for Airbus’s Tactilon Dabat device. This was the 5th edition of the Critical App Challenge, which has already taken place in Germany, Belgium, Hungary, and the Middle East and North Africa region in order to give local innovative companies from these regions the chance to demonstrate their solutions for public safety and mission-critical use. IoT, data analytics and artificial intelligence The innovative aspect, user experience on behalf of public-safety and mission critical professionals were key evaluation criteria This one-day event in the Swedish capital allowed the companies to present their applications to a jury of seven customers and Tactilon Dabat end-users from various industries and scopes of use. The innovative aspect, as well as the user experience on behalf of public-safety and mission critical professionals, were key evaluation criteria. In short, the participants had to take into account the use of IoT, data analytics, and artificial intelligence in order to propose unique ways to retrieve data, as well as the means of processing and exploiting that same data. “I am extremely satisfied with the outcome of this new Nordic-oriented edition,” explains Rahim Zaknoun, Head of Developer Ecosystem for Secure Land Communications at Airbus. “This concept is a unique way to show our customers that we are actively listening to their needs and are also proposing tailored applications and solutions which take into account technological advances, as well as current and future specific requirements, while finding means to optimise daily missions and tasks for all end users, regardless of which industry they work in. Whether it be in public safety, law enforcement, transport, utility and industry, and even healthcare, amongst others.” Zaknoun adds. 4K and data security The prize winners, selected as the best existing solutions suitable for the Tactilon Dabat presented state-of-the-art mission-critical solutions. The top three were: Mesensei with a decentralised platform for private social media communication and decentralised data ownership, Dottli, a communication solution which collects and shares data on each end-user by using sensors, and Ansur, a secure application which aims to reduce emergency response time for mission-critical interventions by proposing an option that handles visual situational awareness data by processing high-resolution – and even 4K – imagery. All companies have received invitations to participate in two large events in November: Rakel Day, a major Swedish customer event which will take place on the 12th of November, and Slush; the world’s leading start-up event in Finland, from the 21st to the 23rd of November, at the Airbus stand. This will give them a unique chance to demonstrate their apps to both Airbus and end-users alike. Airbus Tactilon Dabat hybrid terminal The Airbus Tactilon Dabat hybrid terminal offers both Tetra and LTE radio technologies in one single device The Airbus Tactilon Dabat hybrid terminal offers both Tetra and LTE radio technologies in one single device. Tactilon Agnet 800 is an app for smart devices such as the Tactilon Dabat. It makes it possible to use features such as push-to-talk, status notifications, text messaging, and emergency calls on the Tactilon Dabat. Group communication with other professional radio carriers or the control room is also possible. Indeed, end-users of Airbus’s Tactilon Dabat can already take advantage of an array of professional applications available in the Airbus SmarTWISP catalogue, which offer features such as biometric, licence plate recognition and geo-positioning. Tactilon Agnet solution In addition to the possibility of installing such applications on the device, Airbus’s very own Tactilon Agnet solution is also available on the device to allow users to share voice, data, image and video information with other individuals or a group of individuals in a secure and reliable way.

Security and Safety Things GmbH demonstrated their open IoT platform for video surveillance cameras at GSX in Chicago in September, showcasing real world examples of the Security and Safety Things camera operating system and global IoT marketplace in preparation for worldwide launch early next year. The Security and Safety Things OS, the world’s first open and standardised operating system for surveillance cameras, has a growing list of manufacturer partners who have adopted the OS for use in their cameras and more than 15 partner software developers who have produced some 40 apps ready to be sold in the app store. Innovative AI applications At GSX we also demonstrated several prototype cameras using our operating system" “We are very excited by our rapidly growing ecosystem of partner developers that include Microsoft Azure Cognitive Services with their innovative AI applications, which range from real-time edge analytics to deep learning,” said Hartmut Schaper, CEO of Security and Safety Things. “Along with the great diversity of apps already in our marketplace, at GSX we also demonstrated several prototype cameras using our operating system from various camera manufacturer partners.” An innovative airport-themed booth at GSX illustrated video analytics use cases in three core areas of an airport: The terminal, the boarding gate and the duty-free shops. The terminal section featured cross-domain use cases with Microsoft Azure Cognitive Services and Here Technologies, presenting how security and travel journeys can be improved with deep learning. Integrated camera analytics data The boarding gate section focused on security and safety use cases, with different applications such as detecting abandoned luggage. In the duty-free store, partner developers illustrated how video analytics improve store operations and how neural network learning enhances the shopping experience of customers. These benefits are part of our mission and that of our more than 15 developer partners to help increase security" The app from Here Technologies illustrated the possibilities of an enhanced travel journey with integrated camera analytics data and mapping services to better manage and inform users of traffic congestion, parking availability and payment within the airport setting. “These benefits are part of our mission and that of our more than 15 developer partners to help increase security, optimise operations and improve customer experience at airports and many other environments as well,” said Emmanuel Ventadour, vice president, Sales & Marketing, Security and Safety Things. All applications ran on prototype cameras with the Security and Safety Things OS from members of the Open Security and Safety Alliance (OSSA).

Percepto, a global market expert for autonomous industrial drone solutions, will change the perception that drones are the enemy of the airport, at the ACI EUROPE Security Summit, which is being hosted in Tel Aviv, Israel, from 17th – 19th September 2019. In a presentation entitled ‘Drones in Airports Friends or Foes?’ Percepto will address how the latest innovations in drone technology can improve airport safety, security and operations. VP of Marketing at Percepto, Illy Gruber, will speak at the ACI Europe Security Summit and explains: “High profile incidents involving rogue drones, such as the major disruption caused at Gatwick Airport last December, fixated attention on drone detection and prevention. However, we are currently working with aviation authorities around the world to explore and exploit many exciting applications of autonomous drones which we look forward to sharing.” Industrial drone solutions With the ACI Europe Security Summit taking place in Israel (the home of Percepto), it is the perfect opportunity for security practitioners working in airports, to learn from and get up close to the market leading autonomous industrial drone solutions. During the exhibition running alongside the summit conference, Percepto will showcase its Drone-in-a-Box (DIB) solution and demonstrate how many industrial organisations around the world rely on it as an essential sensor, that constantly collects aerial data, generates actionable insights. Drones can also be launched on-demand to provide a live perceptive of an emergency or incident “Some of the many applications for using our DIB in an airport include augmenting systems and patrols in the monitoring of perimeters and restricted access areas, as well as providing real-time intruder and object detection and tracking,” explains Illy. She also observes how the technology can deliver significant operational benefits, citing the example of optimising runway uptime: “An autonomous drone powered by computer-vision, high-definition and thermal cameras can be used round-the-clock, to complete detailed runway inspections, much faster and thoroughly than ground teams.”  Automatic security patrols With the Percepto DIB solution on-site at an airport, the drone automatically takes-off in all weathers and at pre-defined times, to conduct scheduled routine security patrols and inspections, all without the need for a pilot or operator. Once the task has been completed it returns to base to charge and transfer the data. Drones can also be launched on-demand to provide a live perceptive of an emergency or incident that surveillance cameras or aerial vehicles are unable to access. Percepto will present at the ACI EUROPE Security Summit on Wednesday 18th September, between 11.15 and 12.30pm, in the first working session of the event entitled ‘What are the present threats to aviation security? What are the latest solutions?’. Illy will be joined in the session by representatives from the Israel Airports Authority,  the International Institute for Counter-Terrorism and the European Commission.

Security and Safety Things GmbH (SAST) will demonstrate their open IoT platform for video surveillance cameras at the Global Security Exchange (GSX) in Chicago, September 10 to 12, 2019 at McCormick Place. The world's first open and standardised operating system with a global IoT marketplace will feature applications from more than 15 partner software developers running on security cameras from more than five camera manufacturers in an innovative, airport-themed booth at GSX. "GSX is the ideal event for us to offer a sneak preview of our rapidly growing ecosystem, which includes camera manufacturers demonstrating prototype cameras with the SAST operating system,” said Hartmut Schaper, CEO of Security and Safety Things. “We’re particularly excited to present innovative AI applications as part of the SAST marketplace, ranging from real-time edge analytics to deep learning, using technology such as Microsoft Azure Cognitive Services.” Video analytics improve store operations 15 partners to help increase security, optimise operations and improve customer experiences at airports" The airport-themed booth will illustrate video analytics use cases in three core areas of an airport: The terminal, the boarding gate and the duty-free shops. The terminal section will feature a cross-domain use case together with Microsoft Azure Cognitive Services and Here Technologies, presenting how security and customer experience can be improved with deep learning. The boarding gate section focuses on security and safety use cases, such as showcasing applications to detect abandoned luggage. In the duty-free store, partner developers will illustrate how video analytics help improve store operations and how neural network learning solutions improve the shopping experience of customers. Camera analytics with mapping services “Together with our partner Here Technologies, we will for the first time present cross-domain use cases, showcasing how travel journeys can be improved by integrating camera analytics data with mapping services,” said Nikolas Mangold-Takao, VP Product Management, Security and Safety Things. "These benefits are part of our mission and that of our more than 15 developer partners to help increase security, optimise operations and improve the customer experiences at airports and many other industry verticals as well.” All applications will run on prototype cameras with SAST OS from members of the Open Security and Safety Alliance (OSSA).

Renowned sensor solutions provider HENSOLDT will expand its industrial footprint in the UK by strengthening its subsidiary Kelvin Hughes Ltd., and renaming it HENSOLDT UK. HENSOLDT has acquired Kelvin Hughes in 2017 and created a security solutions product line at Kelvin Hughes’ Enfield site. System solutions “We are expanding our activities in the UK and will bring together our existing portfolio with Kelvin Hughes’ offerings,” said Thomas Müller, CEO of HENSOLDT. “In this way we are creating comprehensive system solutions which will boost our UK business significantly”. Kelvin Hughes and HENSOLDT have shaped the radar market for seven decades" “Kelvin Hughes and HENSOLDT have shaped the radar market for seven decades,” said Russell Gould, Managing Director of Kelvin Hughes. “Bringing together our products under one brand name will increase our visibility in the market and will open up additional business opportunities.” Radar and camera sensors Kelvin Hughes, with approximately 200 employees, designs, produces and markets radar sensors mainly for maritime and security applications. Among their products is the SharpEye solid state high performance pulse Doppler radar family as well as the CxEye Command and Control software that allows the integration of multiple radar and camera sensors into a comprehensive sensor package. The company generates revenues of more than €30 million. Their products are used by more than 30 navies and coastguards worldwide.

At GSX 2019, in booth 251, Hanwha Techwin America, a supplier of IP and analogue video surveillance solutions, will announce its new 32 megapixel 8K network camera. The TNB-9000 utilises a full size 35mm CMOS sensor to deliver true 8K performance at up to 12fps. The TNB-9000 covers large areas with sufficient pixel density to allow operators to zoom in digitally and investigate image details in real time or forensically and still retain a clear image. Operators can even adjust the field of view. Highest resolution camera The TNB-9000 represents our highest performing, highest resolution camera to date" The camera is ideally suited for stadiums, airports and similar large spaces where installing multiple cameras may be impractical or cost prohibitive. Support for EF (Electro Focus) mount lenses, with remote focus, gives customers exceptional flexibility in lens options and low light performance. “The TNB-9000 represents our highest performing, highest resolution camera to date,” says Ray Cooke, Vice President - Products, Solutions, and Integration at Hanwha Techwin America. “The ability to digitally zoom in to any area of an image without losing detail provides a powerful alternative to traditional multi-camera installations.” Focal length and aperture The TNB-9000 EF lens mount accommodates any Canon EF mount lenses, allowing for a wide variety of options for focal length and aperture. The TNB-9000 camera view angle can be remotely adjusted, both vertically and horizontally, without reducing pixel density. This potentially reduces the costs associated with post installation service. Additional highlighted features: Auto focus for EF lenses Triple codec support including the H.265 main 10 profile Built-in fibre connectivity SFP slot HDMI output for 1080p adjustment at the camera PoE+ or 12Vdc

Artificial intelligence (AI) is improving everyday solutions, driving efficiency in ways we never imagined possible. From self-driving cars to intelligent analytics, the far-reaching impacts of Deep Learning-based technology empower human operators to achieve results more effectively while investing fewer resources and less time. By introducing AI, solutions are not merely powered by data, but they also generate valuable intelligence. Systems which were once leveraged for a narrow, dedicated purpose, can suddenly be engaged broadly across an organisation, because the previously under-utilised data can be harnessed for enhancing productivity and performance. Video analytics software The video intelligence software processes and analyses video to detect all the people and objects that appear When it comes to physical security, for instance, video surveillance is a standard solution. Yet, by introducing AI-driven video analytics software, video data can be leveraged as intelligence in previously inaccessible ways. Here are some examples of how diverse organisations are using AI-based video intelligence solutions to enhance security and performance with searchable, actionable and quantifiable insights. Law enforcement relies on video surveillance infrastructure for extracting investigation evidence and monitoring people and spaces. Instead of manual video review and live surveillance – which is prone to human error and distraction – police can harness video content analysis to accelerate video investigations, enhance situational awareness, streamline real-time response, identify suspicious individuals and recognise patterns and anomalies in video. The video intelligence software processes and analyses video to detect all the people and objects that appear; identify, extract and classify them; and then index them as metadata that can be searched and referenced. Maintaining public safety For law enforcement, the ability to dynamically search video based on granular criteria is critical for filtering out irrelevant details and pinpointing objects of interest, such as suspicious persons or vehicles. Beyond accelerating video evidence review and extraction, police can leverage video analysis to configure sophisticated real-time alerts when people, vehicles or behaviours of interest are detected in video. Instead of actively monitoring video feeds, law enforcement can assess triggered alerts and decide how to respond. In this way, officers can also react faster to emergencies, threats and suspicious activity as it develops. Video analysis empowers cities to harness their video surveillance data as operational intelligence Empowering law enforcement to maintain public safety is important beyond the benefit of increasing security: A city with a reputation for effective, reliable law enforcement and enhanced safety is more likely to attract residents, visitors and new businesses, exponentially driving its economic development. Furthermore, in cities where law enforcement can work productively and quickly, time and human resources can be reallocated to fostering growth and building community. Video surveillance data Video analysis empowers cities to harness their video surveillance data as operational intelligence for optimising city management and infrastructure. When video data is aggregated over time, it can be visualised into dashboards, heatmaps and reports, so operators can identify patterns and more seamlessly detect anomalous behaviour. A city could, for instance, analyse the most accident-prone local intersection and assess the traffic patterns to reveal details such as where cars are dwelling and pedestrians are walking; the directional flows of traffic; and the demographic segmentations of the objects detected: Are cars lingering in no-parking zones? Are pedestrians using designated crosswalks – is there a more logical location for the crosswalk or traffic light? Do vehicles tend to make illegal turns – should police proactively deter this behaviour, or should the city plan new infrastructure that enables vehicles to safely perform these turns? Finally, does the rise in bike traffic warrant implementing dedicated biking lanes? With video intelligence, urban planners can answer these and other questions to facilitate local improvements and high quality of life. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services Enhancing situational awareness Insight into traffic trends is also critical for transport companies, from public transit services to transportation hubs and airports. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services. Analysing video surveillance around bus stops, for instance, can help these companies understand the specific hours per day people tend to dwell around bus stops. Correlating this information with transactional data for each bus line, bus schedules can be optimised based on demand for individual bus lines, shortening waiting times for the most popular routes. Similarly, the traffic visualisations and activity heatmaps derived from the video of major transit hubs, such as international airports and central stations, can be beneficial for increasing security, enhancing situational awareness, identifying causes of congestion, improving throughput and efficiency and, ultimately, solving these inefficiencies to provide a streamlined customer experience for travellers. Large education campuses Campus law enforcement can leverage video data to increase situational awareness and public safety Much like a city, large education campuses have internal transportation services, residential facilities, businesses and law enforcement, and video content analysis can support the campus in intelligently managing each of those business units, while also providing video intelligence to these individual groups. Campus law enforcement can leverage video data to increase situational awareness and public safety, driving real-time responses with the ability to make informed assessments and accelerating post-event investigations with access to easily extractable video data. When campuses are expanding or developing additional infrastructure, they can plan new crosswalks, traffic lights, roads, buildings and entrances and exits based on comprehensive video intelligence. By understanding where pedestrians and vehicles dwell, walk, cross or even violate traffic laws, the campus can inform construction projects and traffic optimisation. Countless business operations The campus can leverage video business intelligence to justify leasing pricing for different retailers across campus Finally, the campus can leverage video business intelligence to justify leasing pricing for different retailers across campus, demonstrating property values based on traffic trends that can be correlated with retailer point of sale data. Whether its empowering security, productivity or decision-making, the insights generated by AI-based technology can drive significant optimisation – especially when data is fused and cross-referenced across smart sensors and systems for even deeper intelligence. In the case of AI-backed video analytics, diverse organisations can harness video surveillance impactfully and dynamically. Whereas once video technology investments could be justified for their security value – with the introduction of AI capabilities – procurement teams can evaluate these solutions for countless business operations, because they offer broadly valuable intelligence. And video surveillance and analytics is merely one example of AI-driven solutions’ potential to disrupt business as we know it.

Airport environments have become more sophisticated and complex over the course of the last 20 years. What was once a simple structure to facilitate travel from point A to point B has now been transformed into a hustling and bustling setting that offers passengers the comforts and conveniences of a small city. As a result, the complexity of risks that airport operators face has grown exponentially. Security personnel must now mitigate risks like terrorism, theft, personal safety and insider threats all while streamlining operations to help preserve a positive passenger experience. Beyond the visual of long and winding security checkpoint lines, most travelers are unaware of the vast amounts of work that take place behind the scenes to ensure their safety. Increasing passenger numbers On top of the typical, day-to-day concerns security operators face, airports are only becoming busier. According to the United States Department of Transportation’s Bureau of Transportation Statistics, 2018 was a record-breaking year for air passenger travel. U.S. airlines and foreign airlines operating in the United States saw 1 billion passengers fly, which was a 4.8% increase from 2017. As these numbers continue to increase, the demand on airport security personnel to keep people and property safe also increases. This is why the latest advancements in security technology are critical as part of a comprehensive and cohesive airport security strategy. Let’s take a look at some of these advancements and how they are helping airport security operators mitigate risk. U.S. airlines and foreign airlines operating in the United States saw 1 billion passengers fly, which was a 4.8% increase from 2017 Video-based command and control  Airports are operational 24 hours a day, 7 days a week, which means it is paramount (and typically mandated) to have video as the heart of modern-day security operation centres (SOC). In today’s data-focused environment, security personnel rely on a multitude of solutions and systems, which often include video surveillance, access control, alarm notifications, and more, to ensure comprehensive protection of passengers. What’s needed is a single, unified platform with integrated event management and response The rising influx of information from these systems can often be overwhelming, and in most cases, manual processes are used to manage across these domains in an attempt to achieve a coordinated response. These manual processes are not scalable. What’s needed and is now being introduced to the market is a single, unified platform with integrated event management and response to allow security operators to maximise situational control and determine the appropriate intelligence-powered response. Real-time situation management  The combination of real-time video, with information from a variety of additional sensors, devices and applications is changing the game for airport security personnel. Now, in the event of an incident, security officials can use this data to gain enhanced situational awareness of what’s happening and deliver actionable insights to efficiently and effectively respond to the incident. Through numerous information sources and security systems, airports can benefit from a modernised and enriched investigative experience for a broad and deep understanding of routine or emergency situations.  Advanced analytics Analytics are a powerful resource that gives security teams the ability to discover significant patterns and obtain insightful knowledge from video surveillance data. Advanced algorithms can be the key in providing early warnings to assist in detecting threats, helping to establish a proactive security strategy. By effectively correlating and assessing data, airport officials can bring latent intelligence to the forefront and present a more complete view of security situations. Additionally, analytics can automate predefined standard operating procedures to help minimise human error and optimise resource utilisation.  By effectively correlating and assessing data, airport officials can bring latent intelligence to the forefront and present a more complete view of security situations Mobile reporting  The Internet of Things (IoT) and ubiquitous connectivity have brought remote capabilities to airports, where instantaneous information sharing is paramount. Mobile reporting solutions allow passengers and employees to act as additional “eyes and ears”, bringing critical safety alerts to the attention of security officials. Information shared by passengers and employees can be extremely beneficial to help shed light on a security incident and enable faster and more efficient response. Some solutions even offer the ability to share video and audio with the command centre through a passenger’s smartphone. Facial recognition technology Facial recognition can provide situational intelligence through detecting, tracking, and alerting on persons-of-interest A powerful and versatile security solution, facial recognition can provide situational intelligence to security operations centres through detecting, tracking, and alerting on persons-of-interest appearing in video streams across multiple sites and thousands of cameras simultaneously. These systems are capable of forensic-search recognition capabilities and can be compared against national, local or custom databases to make investigations faster and more efficient. Interest and adoption of the technology is growing, with new use cases being introduced daily. The solution is sure to become a valuable tool in the years to come. In short, airports are very much like small connected cities, featuring a landscape with a variety of assets, a wide range of stakeholders, and numerous sites that keep safety at the forefront of the public eye. However, while global risks and day-to-day challenges can be difficult for security operators to manage, today’s advanced and intelligent technologies can ultimately help improve the overall traveler experience. 

In my coverage of China Tariffs impacting the security industry over four recent articles, products on the tariff schedules routinely integrated into security solutions included burglar and fire alarm control and transmission panels, video surveillance lenses, HDTV cameras used for broadcast use cases and fiber optic media converters. The general ‘callout’ of ADP (Automatic Data Processing) devices and peripherals technically includes servers, workstations and microcomputers, all of which are commonly used to support security solutions. The underperformance, from June 15 to August 24, of U.S. stocks with high revenue-exposure to China, and that of Chinese stocks with high revenue-exposure to the United States was significant and almost identical at 3.2%, significant losses to some investors already involved in security industry M&A activity. Significant public safety Facial Recognition (FR) vendors leveraging AI expanded their market focus to retail and public safety While it was not apparent that practitioners’ security program budgets kept pace with the growth of the more popular solution providers like video surveillance and cyber security, the ICT industries supporting the security economy continued to expand, especially in wireless and wired infrastructure, including preparations for 5G wireless rollouts. These omnipresent technologies drove significant public safety, smart city and public venue projects in 2018. Facial Recognition (FR) vendors leveraging AI expanded their market focus to retail and public safety. In 2018, virtually every public presentation, webinar and published Q&A on social media monitoring and facial recognition technologies I worked on, involved significant pushback from privacy advocates, almost to the point of alarmism. Massive risk reduction Several solution providers in these areas have made significant strides on data protection, accuracy, powered by AI and documented crime reduction cases; however, this real news is quickly shadowed by privacy advocates, seemingly ignoring massive risk reduction, especially in the case of active assailants and gang-related crime. Will FR become mainstream? The cautious security industry may take a cue from the maverick retail industry, sports venue and VIP verification solution providers that grew in 2018. 2019 trends: presupposition or repudiation; winners and losers. Chinese tariffs have had a huge impact on the security industry, which can be seen from changes to U.S and Chinese stocks  Although technology adoption forecasting is inexact, there are definitive opportunities in the security industry born on necessity. With the widespread problem of false alarm transmission and inability for first responders to ‘be everywhere,’ developers of solutions that provide automated verification and alternative security incident detection are expected to become mainstream. Promising detection systems The use of AI, NLP, LiDAR, UAS (Unmanned Aerial Vehicles aka drones) with surveillance and thermal imaging will grow, mostly due to higher acceptance in other industries like autonomous vehicles, rail safety, terrain and post devastation mapping/rescue. However, legacy ‘listing’ or certification organisations will be forced to make an important decision for their own survival: work toward integrating these promising detection systems into acceptance by insurance, licensing and standards development organisations. 2019’s ‘true’ Industrial Philanthropists will be needed to fund early warning tech for firefighters and the presence of active assailants 2019’s ‘true’ industrial philanthropists will be needed to fund early warning tech for firefighters and the presence of active assailants. For these use cases, 5G infrastructure rollouts, FR acceptance, lower cost perimeter detection and long range object and fire recognition by LiDAR and Thermal imaging will all be watched closely by investors. Should public agencies and philanthropical solution providers in the security industry cross paths, we may just yet see a successful, lifesaving impact. Cyber risk profile The ‘Digital twin’ refers to a digital replica of physical assets (physical twin), processes, people, places, systems and devices that can be used for various purposes. Your ‘Security Digital Twin’ has a similar physical and cyber risk profile, either through common threats, similar assets or both. Good news: managing your risk, protecting assets and securing your facilities in 2019 will get easier as security digital twin profiles will grow in maturity, while keeping their data sources private. This will be accelerated by the maturity of AI-based, auto-generated visualisations and image recognition, that happens to also drive the FR solutions. The 5G wireless infrastructure market is emerging as far more of a quantum leap in connectivity, like ‘wireless fiber optics’ performance, than an upgrade to 4G LTE. The 5G infrastructure market will be worth $2.86 billion by 2020 and $33.72 billion by 2026, growing at a compound annual growth rate (CAGR) of 50.9%. Intelligent applications The explosion of ingested voice, video, and meta-data, the interconnectivity of devices, people and places, and the integration of intelligent applications into expanding ecosystems all require faster communications. To be more accurate, 5G rollouts will accelerate in 2019; however, current project funding will include and be impacted by future enterprise security connectivity: 5G and FWA (Fixed Wireless Access). 5G rollouts will accelerate in 2019; however, current project funding will include and be impacted by future enterprise security connectivity Quite simply put, larger solution providers are gently coaxing practitioners into seemingly ‘open systems;’ the negative discovery during an M&A process, audit or integration with a smart city’s public/private partnerships will continue to be revealed, and related industries will force reform. Autonomous things will be enabled by AI and image recognition. With few affordable rollouts of security robots and outdoor unmanned ground vehicles (UGV) that leveraged platforms popular with research and even NASA, the autonomous security robot was mostly MIA from a security practitioner’s program in 2018. Perimeter intrusion detection One platform was even accused of intimidating homeless people in a public place, at a major city. Industries mutually beneficial are often unaware of each other; this will change gradually: one major domestic airport is currently evaluating a UGV platform performing perimeter intrusion detection, runway weather conditions and potential aircraft taxiing dangers. The platform is being used largely in transportation research, yet offers significant opportunities to the security industry. Research firm Gartner estimates that 70% of today’s technology products and services can be enhanced with ‘multi-experience’-based VR/AR/MR The ‘immersive experience’ of virtually any security or threat detection is a twist on virtual/augmented/mixed reality (VR/AR/MR) with additional sensory features. Although VR/AR/MR is well underway in other industries, there are several companies with solutions like VR-based active assailant training that could provide a fighting chance for practitioners, employees, visitors, faculty and children. Research firm Gartner estimates that 70% of today’s technology products and services can be enhanced with ‘multi-experience’-based VR/AR/MR. Security ecosystem members Not necessarily MIA, but of special mention is the need of security and safety practitioners to prioritise communications systems over ‘nice to have’ expansive video surveillance systems for mass casualty threats. This will eventually improve with 5G for Enterprise solution rollouts. At the past GSX and upcoming CES Technology trade shows, a new roundup of technologies is discovered: a wider diversity of protection promise to save ASIS members on their technical security program is realised. With each of the ‘winners,’ (5G, AI, NLP, LiDAR, UAS [Unmanned Aerial Vehicles aka drones], thermal imaging, digital security twins and smart-city-friendly technologies) it is both exciting and challenging work for both security practitioners and solution providers. All things equal and with the necessary technology acceptance testing processes, this is a truly great time for security ecosystem members.

According to the reports of not-for-profit organisation Gun Violence Archive, the year 2018 saw 323 mass shooting incidents as of November. This number is 346 for the year 2017 and 382 for 2016, with ‘mass shooting’ defined as cases where four or more people are shot or killed in the same time period and location. A variety of gunfire detection solutions and other technology approaches seek to address the problem. ShotSpotter SiteSecure and ShotSpotter SecureCampus provide critical outdoor infrastructure protection against active shooter attacks. SiteSecure delivers critical information such as the number of shots fired, a detailed map of the airport or transportation facility, with the shooting location clearly identified. SiteSecure also provides law enforcement and transportation facility management with real-time information that can be useful to identify and address false alarms and reduce mass panic. Gunfire detection and precise shooter location Designed for college campuses and K-12 schools, ShotSpotter SecureCampus provides gunfire detectionShotSpotter SecureCampus is a gunfire detection system designed to provide outdoor coverage at university and school campuses. Designed for college campuses and K-12 schools, SST SecureCampus provides gunfire detection, precise location, and number of shooters to first responders and school personnel, enabling faster response to an incident. Data capture form to appear here! Gunshot detection can offer tremendous benefits in mitigating active shooting incidents occurring in a public facility or commercial environment. Data shows that active shooter attacks often begin outside a building and then progress indoors. Thus, the first line of defence for security professionals lies outside a facility, in a zone of protection surrounding it or comprising the entire outdoor area of a larger facility of many buildings. Audio solutions for perimeter security Video cameras are effective surveillance tools in the event of a shooting incident, but they are not able to capture everything. Deploying audio solutions can automatically flag incidents not caught on camera, as well as alert central station guards of what surveillance zones need to be closely monitored. Audio analytics solutions for aggression and gunshot detection are some of the best security tools in the security market when it comes to detection, intervention and deterrence. They are the next generation of monitoring; equipping security teams with critical information and enhancing perimeter security. End users can identify high-risk situations in real-time and prevent acts of physical aggression before they happen Aggression detectors are capable of accurately recognising duress in a person’s voice. The software automatically and objectively detects the presence of rising human aggression, anger or fear, and subsequently warns staff by a visual alert or alarm trigger. As a result, end users can identify high-risk situations in real-time and prevent acts of physical aggression before they happen. Artificial intelligence to detect weapons A gunshot detector recognises firearm discharge from various firearms in different settings. Within seconds of a gunshot, the software accurately classifies and triggers an immediate notification through a designated VMS. Security staff can then verify the alert, effectively reducing the reaction time of first responders. With the development of artificial intelligence (AI) in object recognition, AI weapons detection offers an efficient alternative to gunshot detection to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognise firearms in different shapes, sizes, colours, and at different angles in videos, so that the AI weapon detector can be deployed with existing camera systems, analyse the video feeds, and instantly notify security staff when a gun is spotted. Audio analytics, processed inside a video camera, are another approach that can quickly pinpoint zones that security staff should focus on, which can dramatically shorten response times to incidents. Audio-derived data also provides a secondary layer of verification that an event is taking place which can help prioritise responses from police and emergency personnel. Detecting audio levels and alerting operators Operators can be notified of abnormal situations via event signals allowing the operator to take suitable measuresThe first job of a well-configured camera or camera/mic pair is to detect sounds of interest while rejecting ancillary sounds and noise below a preset threshold. Each camera must be custom-configured for its particular environment to detect audio levels which exceed a user-defined level. Since audio levels are typically greater in abnormal situations, any audio levels exceeding the baseline set levels are detected as being a potential security event. Operators can be notified of any abnormal situations via event signals allowing the operator to take suitable measures. Finding a baseline of background noise and setting an appropriate threshold level is the first step. Well configured audio analytics can deliver critical information about a security event, accelerating response times and providing timely details beyond video-only surveillance. Analytics take privacy concerns out of the equation and allow installers and end users to use camera audio responsibly. Hanwha Techwin's audio source classification technology, available in its X Series cameras, features three customisable settings for category, noise cancellation and detection level for optimum performance in a variety of installation environments.

The threat of drones is a growing concern around the perimeter and in the airspace surrounding airports. According to a UK Airprox Board report, the number of times a drone endangered the safety of an aircraft in the UK airspace rose more than a third in 2018 compared to the year before. The highest-profile recent drone incident was at UK’s Gatwick Airport, where a drone sighting last December triggered a three-day shutdown of the UK’s second busiest airport, disrupted the travel plans of 140,000 people and affected 1,000 flights. Unauthorised drone activity And there have been other recent incidents of drone disruptions at airports: At Heathrow Airport in January 2019, flights were temporarily stopped for about an hour ‘as a precautionary measure’ after a drone was reported. The UK Airprox Board recorded 39 dangerously close drone encounters at Heathrow in 2018. In the U.S., flights into Newark Liberty International Airport were disrupted for about 90 minutes in January after a drone sighting. Dubai International Airport, the world’s busiest for international travel, closed its airspace for about 30 minutes in February due to suspected unauthorised drone activity. In March and again in May, air traffic at Frankfurt Airport in Germany was grounded due to drone sightings – for about 30 minutes in the first instance and about an hour in the second. Drone detection systems Security has a role in preventing drone incidents, although pilots often report them Security has a role in preventing drone incidents, although pilots often report them. At Gatwick, the initial reports of a drone over the airfield came from airport security officers. After the incident, the UK government rushed through legislation to enlarge the drone exclusion zones around airports to a maximum of 5 km (up from the previous 1 km). In the U.S., the exclusion zone around airports is a radius of about 5 miles, and even more in sensitive areas such as the National Capital Region around Ronald Reagan Washington National Airport, where restrictions are 15 to 30 miles. Airports in the U.S. are allowed to deploy drone detection systems but may not use counterdrone technology (such as shooting down the drones), which is reserved for the Justice Department and Homeland Security. Dedicated new technology “News that drone threats to aircraft are increasing should come as no surprise,” says Simon Barnes, Business Development Manager – Airports Europe for Genetec. “Recent reported incidents are just the tip of the iceberg. As drones become increasingly ubiquitous – both from hobbyists and their growing use in professional arenas – we can expect to see many more incidents.” From speaking to airports across the world, Barnes has learned that two of the most pressing challenges they face are how they secure their perimeters (as intruders become increasingly sophisticated) and identifying ‘Friend from Foe’ as operational needs must be maintained. “When it specifically comes to drone detection, the short-term temptation can be to introduce a dedicated new technology to address this specific threat,” he commented. More comprehensive response We need to work with technology, not against it, in order to ensure public safety and security" “However, the last thing a functioning airport needs is an independent system that isn’t unified with all of the other security measures in place. Only when the data from all of these inputs is visualised in one place can an airport begin to make sense of its environment and enable a fast and efficient response to evolving challenges such as the insider threat and malicious drone activities. We fully expect airports to respond to this changing landscape, to help ensure a more comprehensive response.” Philip Avery, Managing Director of Navtech Radar, adds: “In today's current climate of increased national threats, we need to work fast to keep up with modern risks. However, creating new, complicated laws open to misinterpretation or enforcing a complete ban on privately owned drones seem like Luddite solutions that undermine the potential of innovative technology. We need to work with technology, not against it, in order to ensure public safety and security.” Help mitigate risk Navtech Radar sells the AdvanceGuard system for drone detection. Tavcom Training, part of the Linx International Group, has responded to requests from the security industry for expert training in order to be better prepared for and mitigate against the threat of Unmanned Aerial Systems (better known as drones). The company offers a two-day Drone Detection classroom-based course for £375+VAT. Our drone detection course gives security professionals advice from experts" “The responses to the [recent] airport drone attacks were played out in the spotlight, with much public debate regarding the seeming lack of a pre-defined plan of action to prevent or contain such an incident,” explains Sarah Hayward-Turton, Sales and Marketing Director at the Linx International Group. “Our drone detection course gives security professionals advice from experts in drone technology, to help mitigate risk and implement countermeasures to thwart unauthorised drone activity.” The course will be offered again in November 2019 and in February 2020.

Facial recognition has seen huge breakthroughs since the U.S. National Institute of Standards and Technology (NIST) first began testing in 2010. Accuracy has seen massive gains, especially from 2013-2018. In the 2018 test, the most accurate algorithm was 20 times more accurate than the 2013 equivalent. Essentially, 95 percent of the matches that failed in 2013 now yield correct results. Compare that to 2010-2013, when the most accurate algorithm reduced its error rate by 30 percent. This reduction in error rates since 2013 is due to wholesale replacement of the old algorithms with new ones based on deep convolutional neural networks — completely revolutionising the technology. Optimal recognition results SAFR says it delivers optimal recognition results with 99.86 percent accuracy in under 100 milliseconds One entrant in the newly energised market is RealNetworks, whose SAFR for Security is an AI-based facial recognition solution for live video that integrates video management system (VMS) solutions. With 24/7 monitoring, SAFR detects and matches millions of faces accurately in real time, enabling teams to manage a watchlist across any number of video feeds. SAFR says it delivers optimal recognition results with 99.86 percent accuracy in under 100 milliseconds, even in real-world conditions where faces are in motion, at different angles, under poor lighting, or partially obscured. SAFR builds on RealNetworks’ 23-year history in video technologies. Launched in July 2018, SAFR — secure, accurate facial recognition — is enabling new applications for security, convenience, and analytics. Create security responses “We seek to be the world’s most trusted facial recognition platform and are delighted to partner with customers in the security industry and elsewhere to shape a more secure, convenient future worldwide,” says Dan Grimm, Vice President of Computer Vision and General Manager of SAFR at RealNetworks. “Security professionals are asked to keep us safe 24/7, monitoring a burgeoning number of cameras, and we help make them more effective.” SAFR targets facial recognition for live video, identifying camera-unaware faces moving in real-world conditions. In the April 2019 NIST results, SAFR tested as the fastest and most compact solution among algorithms with less than 0.022 False Non-Match Rate — 62 percent faster than the average speed, according to the company. SAFR now provides capabilities such as live video overlays alerting security professionals to events in real time, automatic bookmarks with rich metadata for investigative work, and alerts that can be customised to create security responses. SAFR uses one-sixth the compute power of competing facial recognition solutions Facial recognition algorithms Five years ago, facial recognition algorithms would struggle to match forward-facing people from still images, let alone camera-unaware moving faces from live video with variations in rotation and tilt. SAFR says they have achieved a balance of accuracy and performance for live video. A contributor to this accuracy is consistency across a range of skin tones. The algorithm was trained on a highly diverse global set of over 10 million non-simulated real-world faces. SAFR was optimised for speed and can sample a face multiple times during the same period of time as other algorithms, subsequently increasing its accuracy. SAFR achieves the performance through edge processing. Distributed architecture enables efficient bandwidth consumption, reducing the roundtrip latency of facial recognition speed to under 100 milliseconds. The savings lower total cost of ownership (TCO): SAFR uses one-sixth the compute power of competing facial recognition solutions, equating to $500,000 or so in savings on a 250-camera deployment. Integrated experience SAFR also uses off-the-shelf hardware and is optimised to leverage inexpensive GPUs SAFR also uses off-the-shelf hardware and is optimised to leverage inexpensive GPUs. SAFR can be deployed on premises or in the cloud, and supports Windows, Linux, macOS, iOS, and Android. When SAFR is paired with a VMS, such as Milestone XProtect or Genetec Security Center, the integrated experience includes 24/7 monitoring to detect and match faces in real-time. Features include live video overlays within the VMS to identify strangers, threats, concerns, unrecognised persons, VIPs, employees, or other tagged individuals in live video. Real-time alerts can be customised for when persons of interest appear on a video camera feed. Additionally, automatic bookmarks with rich metadata make for easier investigative review of security footage. Facial recognition technology is increasingly in demand to improve safety across various industry verticals. Better customer experience Large enterprises with high-visitor flows and heightened security — such as transportation hubs, stadiums, universities, and hospitals — need to know in real time when persons of interest or those on watchlists appear on camera. Sports stadiums could apply facial recognition to deny entry to banned patrons, locate lost children, or recognise VIPs to deliver a better customer experience. Hospitals need access control to restricted areas and pharmaceutical storage closets Hospitals need access control to restricted areas and pharmaceutical storage closets. Airports and transit centres value traffic flows, demographic composition, and dwell times to help improve scheduling. SAFR for Security is available worldwide, and the company partners with VMS providers such as Milestone, Genetec, Digifort, and IPConfigure by Paliton Networks. They are actively working to support additional VMS solutions and have sales teams located in major metropolitan cities around the world. Security professionals “The job of the security professional is critical in today’s world,” says Grimm. “SAFR for Security helps mitigate the challenges of the important work security professionals do to keep us all safe.” In designing and developing SAFR, RealNetworks considered diversity and the uniqueness of each person; Grimm says their massive global training data set is a competitive advantage. SAFR is designed with privacy in mind. All facial images and signatures are AES-256 encrypted in transit or at rest. “SAFR is powerful enterprise-grade software that is continuously improving through innovation and many years of expertise,” says Grimm.

Delta Scientific, the prominent manufacturer of counter-terrorist vehicle control systems used in the United States and internationally, announced that, on Monday, October 7, at approximately 7 am, a Delta MP5000 portable barrier stopped a stolen Dodge Ram pick-up truck at an entrance gate of the Naval Air Station - Corpus Christi. The stolen car was chased by the local police onto the base. The barrier then impacted the rear of the vehicle, disabling it. Simultaneously, the Air Station announced that an unauthorised person was on base and the facility immediately would go under lockdown with all gates secured to all traffic. Having taken flight after the truck was stopped by the barrier, the intruder was quickly apprehended within the hour and taken into custody by the Bureau of Alcohol, Tobacco, Firearms and Explosives. "This is the second attempted intrusion into the Naval Air Station - Corpus Christi in eight months," explained Greg Hamm, Delta vice president of sales and marketing. Control vehicle access "On February 14, a Delta MP5000 portable barrier stopped a stolen Ford Edge crossover SUV at the North Gate. The trespasser had driven across the base to escape but crashed into the Delta unit and erupted into flames. The driver was shot and killed." Delta's totally self-contained MP5000 mobile deployable vehicle crash barriers now carry an ASTM rating as high as M50, able to stop and disable a 15,000 lb (66.7 kN) G.V.W. vehicle moving at 50 mph (80.4 kph). They tow into position to control vehicle access within 15 minutes. No excavation or sub-surface preparation is required. Once positioned, the mobile barricades will unpack themselves by using hydraulics to raise and lower the barriers off their wheels. DC-powered pumps will then raise or lower the barriers. Once the event is over, procedures are reversed and the barriers are towed away.

The independent sensor house HENSOLDT has been commissioned by Airbus Helicopters to provide the EuroGrid Tactical Mission Computer (ETMC) for helicopters with new functions. The two-year further development contract includes a guarantee for the acquisition of 200 production units in the subsequent years. The new ETMC generation, ETMC-NG, will be based on the computer which HENSOLDT has delivered for a long time to Airbus Helicopters for integration into the NH90, Tiger and CH-53 helicopters. Higher storage capacity for future system extensions Based on the experience gained during their many years of cooperation, HENSOLDT has defined the follow-up model, ETMC-NG, together with Airbus Helicopters and has launched the process to develop this system. Apart from the elimination of obsolete characteristics, the new model will have more computing power, higher storage capacity for future system extensions and new interfaces. For example, a new function for identifying ships and boats will be incorporated, which will allow the relevant data from the crew to be shown in the ETMC-NG display and to be used for mission planning, border surveillance or maritime search and rescue operations.

EchoGuard receives FCC Equipment Authorisation allowing widespread deployment of the radar for security, surveillance, and airspace management applications. EchoGuard radar Echodyne, the manufacturer of innovative, high-performance radars for government and commercial markets, announces that it has received approval from the FCC for widespread deployment of its EchoGuard radar for radiolocation and radionavigation in the United States. FCC Equipment Authorisation allows the radar to be used throughout the US for ground, airspace surveillance The FCC Equipment Authorisation allows the radar to be used throughout the United States for ground and airspace surveillance applications that detect and track potential security threats with high accuracy and for ground-based airspace management applications that ensure safe navigation of commercial drone missions. Electronically Scanning Array radar Echodyne's innovative metamaterials technology and powerful software combine to create an electronically scanning array (ESA) radar in a compact, solid-state format at commercial price points for the very first time. The radar has been demonstrating award-winning performance for government, law enforcement, security, and UAS / UTM customers for some time via experimental licenses. "We are excited that EchoGuard has received this authorisation allowing its widespread adoption in the US," said Eben Frankenberg, CEO of Echodyne. "With the growing number of troubling drone incursions at airports, stadiums, and other facilities, there is tremendous demand for high-performance radar sensors. Tackling drone threats Eben adds, "Our innovative radar technology and software greatly increases the ability for security systems to accurately detect and track drone threats, as well as improves ground tracking of people, vehicles, and vessels. Our radar outperforms every other radar in its class, is priced for commercial markets, and has proven to be the best mid-range surveillance radar in the market." Features of the EchoGuard high-performance radar include: True electronic beam-steering with market-leading C-SWaP attributes; Long-range detection with high reliability and accurate tracking of multiple, concurrent air and ground targets; and Easy integration into sensor fusion and security systems for unmatched 3D situational awareness.

BIRD Aerosystems, globally renowned developer of Airborne Missile Protection Systems (AMPS) and Special Mission Aircraft Solutions (ASIO), has received an order for additional AMPS systems from the UN Air Operations. Airborne Missile Protection Systems Under the contract, BIRD will provide its AMPS-MV solution, which includes the MACS sensor, and install it on the UN Mi-17 helicopters, that are operating in the most dangerous and complicated areas in Africa. The UN is already using BIRD's AMPS systems, and this is a follow-on order that will allow the UN to install the systems on additional helicopters. AMPS missile protection system provides enhanced protection for military and civilian aircraft against MANPADS BIRD's AMPS missile protection system provides the most enhanced protection for military and civilian aircraft against the growing threat of ground to air missiles (MANPADS). Directional Infrared Countermeasures The system is designed to automatically detect, verify, and foil SAM attacks through the effective use of countermeasure decoys (Flares and Chaff) and by Directional Infrared Countermeasures (DIRCM) that jam the missile's IR seeker and protects the aircraft. The AMPS-MV includes BIRD Aerosystems' patented Missile Approach Confirmation Sensor (MACS) sensor, which performs unique confirmation of suspected incoming missile threats detected by the main electro-optical passive sensors, and practically eliminates any false alarms. MACS ensures that only real missiles will be declared by the system and reacted upon. Missile Approach Confirmation Sensor Ronen Factor, Co-Chief Executive Officer and Founder at Bird Aerosystems, "The UN Air Operations teams are operating in the most dangerous areas and conflict zones in Africa, and therefore have to make sure that their helicopters are safe and protected against the constantly growing threat of MANPADS. As caring for its soldiers is a primary goal for the UN, we are honored that once again, they choose to do so using BIRD's AMPS-MV, the most advanced and cost-effective solution that is available today."

Faced with a number of security challenges and planned future expansion, a major airport decided it was time to implement a scalable security surveillance solution. Let’s take a look at how to manage such a scenario to ensure the selected solution provides scalability for growth. With the existing proprietary solution at the airport locked down to one manufacturer and littered with issues resulting in high maintenance and expansion costs, a new solution was required that would allow the airport to scale its surveillance solution in line with future expansion plans. Difficult in identifying people The low-resolution analogue cameras made it difficult to identify people during incidents Not only was the existing surveillance solution analogue and proprietary, it wasn’t intuitive and was difficult for operators to use. There were several ‘satellite’ security installations scattered in the various terminal buildings that weren’t viewable in the centralised Control Room which meant extra operators were required. The low-resolution analogue cameras made it difficult to identify people during incidents and coupled with the lack of video coverage, it gave operators poor situational awareness. Reviewing past events with the existing VMS was difficult as playback wasn’t synchronised and, without bookmarks, it was time-consuming to find important events. The combination of multiple terminal buildings and the Centralised Analogue Architecture resulted in bottlenecks and latency issues as all processing must pass through the centralised server. There was also no redundancy so if there was any failure in the system, the Control Room would no longer have the capability to view live or recorded video. Additionally, as the system was locked down to one manufacturer and the whole system had to be hardwired to the centralised server, there were very expensive expansion costs. Addressing security and scalability concerns New NVRs were specified to cope with the increase in camera streams and an extra NVR for redundancy and failoverThe required solution had multiple requirements to ensure that the existing issues were resolved and that the solution could scale with the planned expansion. With expansion planned to facilitate growing passenger numbers, an open IP based solution was specified to replace the existing analogue solution to improve situational awareness, provide scalability and integrate with a number of other systems operating in the airport. The architecture needed to limit bottlenecks, reduce latency issues, provide redundancy advantages and be scalable to allow for multiple new terminal buildings to be connected with ease. New HD cameras were specified to improve image quality and coverage, with a Video Wall required in order to view and manage the increase in video streams in the centralised Control Room. New large capacity NVRs were also specified to cope with the increase in camera streams and an extra NVR for redundancy and failover. Distributed Architecture reduces data bottlenecks A solution with Distributed Architecture was chosen as it solved multiple issues with the existing solution and facilitated future expansion without the need for a centralised server. Distributed Architecture allows data to be kept close to where it is produced or needed. When cameras, surveillance workstations, NVRs, alarm servers, integration gateways, all participate in a Distributed Architecture, data bottlenecks are minimised as all processing doesn’t need to pass through a centralised server. Distributed Architecture provides a truly unlimited and scalable solution that can easily accommodate the largest airports in the world. Enhancing situational awareness Distributed Architecture enables future expansion as it can support thousands of cameras, workstations and NVRsDistributed Architecture minimised the existing bottlenecks, reduced latency, and provided higher availability and faster access to data. It also allowed all ‘satellite’ security installations to be viewed in the centralised Control Room enhancing situational awareness. New HD cameras were installed and due to the scalability of Distributed Architecture, future cameras can easily be connected when needed. Furthermore, the scalability of Distributed Architecture enabled the airport to build new terminal buildings and connect with ease to the security solution when ready. Distributed Architecture enables planned future expansion as it can support thousands of cameras, workstations and NVRs, dramatically reducing the Total Cost of Ownership (TCO). The scalability of Distributed Architecture allows the airport to continue with planned expansion and add a single camera/NVR or a whole new terminal when needed.

Progress is being made with the installation of HENSOLDT’s ASR-S (Aerodrome Surveillance Radar, Series) for air traffic control modernisation at German military airfields. ASR-S aerial surveillance radar With a further ASR-S system having recently been handed over to the German procurement authority BAAINBw and the Air Mobility Training Centre in Celle-Wietzenbruch, 17 of 20 radar systems in total have now been supplied to and accepted by the customer. Following the successful final acceptance test, programme manager Thomas Oswald handed the latest radar over to the training centre commander, Colonel Jörn Rohmann. The ASR-S aerial surveillance radar systems are being provided by sensor specialist HENSOLDT The ASR-S aerial surveillance radar systems are being provided by sensor specialist HENSOLDT under a 250-million-Euro contract awarded by the BAAINBw are intended to replace older radar systems that have been used to date for military air traffic control. Military airspace surveillance The new radars are being used for approach control at the airfields themselves and for airspace surveillance within a radius of more than 100 kilometres (60 NM) in order to safely coordinate military flight movements with civil air traffic. As a facility for all branches of the armed forces, the Air Mobility Training Centre, which is subordinate to the German Army Training Command in Leipzig, facilitates testing of and training in different methods and processes in cooperation between ground forces and aircraft. Air traffic control and identification system HENSOLDT provides air traffic control and identification systems for military and civilian applications on a global scale. For example, the company has received orders for a complete approach control system for the Swiss Air Force as well as for different ASR versions for the German civil air traffic control authority DFS, Australia, the UK and Canada. HENSOLDT’s ASR-S radar is improving air traffic control and air surveillance at the airfields of the German Armed Forces.

The high cost of thermal imaging cameras historically made their use more likely in specialised law enforcement and military applications. However, lower pricing of thermal imaging technologies has opened up a new and expanding market for thermal cameras in the mainstream. We asked this week’s Expert Panel Roundtable: What are the new opportunities for thermal cameras in mainstream physical security?

Video analytics are undergoing a fundamental change in the market as machine learning enhances their accuracy while expanding their capabilities. But what are those expanded capabilities and how are they impacting the operation of security and video systems? We asked this week’s Expert Panel Roundtable: What new video analytics are having an impact in the market and how?

There will be more artificial intelligence, more machine learning, video systems with more capabilities, and all of it will add greater value to our solutions. Those are among the expectations of our Expert Panel Roundtable as they collectively look ahead to the remainder of 2019. One unexpected prediction is that AI will not prove to be a game changer – at least not yet. We asked this week’s Expert Panel Roundtable: What will be the biggest surprise for security in the second half of 2019?