Genetec Network Video Recorders (NVR) / Network DVRs(3)
Introducing the compact, 13-ounce Network Security Appliance powered by GenetecGenetec's SV-16 is a network security appliance that is powered by Genetec's video surveillance system, Omnicast. Designed for 16 cameras or less, Genetec's SV-16 is the best choice for use in small installations or for the purpose of pulling a small-set of remote cameras into a larger system. The SV-16 is compatible with both IP cameras and analogue cameras with the use of video encoders. And thanks to Omnicast's open architecture, the SV-16 allows customers to choose hardware that best suits their needs.Key features: Powered by Omnicast Up to 16 cameras or encoders Wi-Fi connectivity 160GB of internal storage (500GB option) Ethernet gigabit ports for additional storage Open-architecture hardware freedom Low 6W power consumption Durable aluminium casing IP or analogue camera compatible Ease of upgrades For more information visit Genetec's website.Add to Compare
Browse Network Video Recorders (NVR) / Network DVRs
Network Video Recorder (NVR) products updated recently
In 2017, IoT-based cyberattacks increased by 600%. As the industry moves towards the mass adoption of interconnected physical security devices, end users have found a plethora of advantages, broadening the scope of traditional video surveillance solutions beyond simple safety measures. Thanks in part to these recent advancements, our physical solutions are at a higher risk than ever before. With today’s ever evolving digital landscape and the increasing complexity of physical and cyber-attacks, it’s imperative to take specific precautions to combat these threats. Video surveillance systems Cybersecurity is not usually the first concern to come to mind When you think of a video surveillance system, cybersecurity is not usually the first concern to come to mind, since digital threats are usually thought of as separate from physical security. Unfortunately, these two are becoming increasingly intertwined as intruders continue to use inventive methods in order to access an organisation's assets. Hacks and data breaches are among the top cyber concerns, but many overlook the fact that weak cybersecurity practices can lead to physical danger as well. Organisations that deploy video surveillance devices paired with advanced analytics programs often leave themselves vulnerable to a breach without even realising it. While they may be intelligent, IoT devices are soft targets that cybercriminals and hackers can easily exploit, crippling a physical security system from the inside out. Physical security manufacturers Whether looking to simply gain access to internal data, or paralyse a system prior to a physical attack, allowing hackers easy access to surveillance systems can only end poorly. In order to stay competitive, manufacturers within the security industry are trading in their traditional analogue technology and moving towards interconnected devices. Due to this, security can no longer be solely focused on the physical elements and end users have taken note. The first step towards more secured solutions starts with physical security manufacturers choosing to make cybersecurity a priority for all products, from endpoint to edge and beyond. Gone are the days of end users underestimating the importance of reliability within their solutions. Manufacturers that choose to invest time and research into the development of cyber-hardening will be ahead of the curve and an asset to all. Wireless communication systems Integrators also become complicit in any issues that may arise in the future Aside from simply making the commitment to improve cyber hygiene, there are solid steps that manufacturers can take. One simple action is incorporating tools and features into devices that allow end users to more easily configure their cyber protection settings. Similarly, working with a third party to perform penetration testing on products can help to ensure the backend security of IoT devices. This gives customers peace of mind and manufacturers a competitive edge. While deficient cybersecurity standards can reflect poorly on manufacturers by installing vulnerable devices on a network, integrators also become complicit in any issues that may arise in the future. Just last year, ADT was forced to settle a $16 million class action lawsuit when the company installed an unencrypted wireless communication system that rendered an organisation open to hacks. Cybersecurity services In addition, we’ve all heard of the bans, taxes and tariffs the U.S. government has recently put on certain manufacturers, depending on their country of origin and cybersecurity practices. Lawsuits aside, employing proper cybersecurity standards can give integrators a competitive advantage. With the proliferation of hacks, malware, and ransomware, integrators that can ease their client's cyber-woes are already a step ahead. By choosing to work with cybersecurity-focused manufacturers who provide clients with vulnerability testing and educate end users on best practices, integrators can not only thrive but find new sources of RMR. Education, collaboration and participation are three pillars when tackling cybersecurity from all angles. For dealers and integrators who have yet to add cybersecurity services to their business portfolios, scouting out a strategic IT partner could be the answer. Unlocking countless opportunities Becoming educated on the topic of cybersecurity and its importance for an organisation is the first step Physical security integrators who feel uncomfortable diving headfirst into the digital realm may find that strategically aligning themselves with an IT or cyber firm will unlock countless opportunities. By opening the door to a partnership with an IT-focused firm, integrators receive the benefit of cybersecurity insight on future projects and a new source of RMR through continued consulting with current customers. In exchange, the IT firm gains a new source of clients in an industry otherwise untapped. This is a win for all those involved. While manufacturers, dealers and integrators play a large part in the cybersecurity of physical systems, end users also play a crucial role. Becoming educated on the topic of cybersecurity and its importance for an organisation is the first step. Commonplace cybersecurity standards Below is a list of commonplace cybersecurity standards that all organisations should work to implement for the protection of their own video surveillance solutions: Always keep camera firmware up to date for the latest cyber protections. Change default passwords, especially those of admins, to keep the system locked to outside users. Create different user groups with separate rights to ensure all users have only the permissions they need. Set an encryption key for surveillance recordings to safeguard footage against intruders and prevent hackers from accessing a system through a backdoor. Enable notifications, whether for error codes or storage failures, to keep up to date with all systems happenings. Create/configure an OpenVPN connection for secured remote access. Check the web server log on a regular basis to see who is accessing the system. Ensure that web crawling is forbidden to prevent images or data found on your device from being made searchable. Avoid exposing devices to the internet unless strictly necessary to reduce the risk of attacks.
When a child goes missing in a large, crowded mall, we have a panicking mom asking for help from the staff, at least a dozen cameras in the area, and assuming the child has gone missing for only 15 minutes, about 3 hours’ worth of video to look through to find the child. Typical security staff response would be to monitor the video wall while reviewing the footage and making a verbal announcement throughout the mall so the staff can keep an eye out for her. There is no telling how long it will take, while every second feels like hours under pressure. As more time passes, the possible areas where the child can be will widen, it becomes more time-consuming to search manually, and the likelihood of finding the child decreases. What if we can avoid all of that and directly search for that particular girl in less than 1 second? Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streamsWith Artificial Intelligence, we can. Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streams in a fraction of a second, using only one photo of that person. The photo does not even have to be a full frontal, passport-type mugshot; it can be a selfie image of the person at a party, as long as the face is there, the AI can find her and match her face with the hundreds or thousands of faces in the locations of interest. The search result is obtained in nearly real time as she passes by a certain camera. Distinguishing humans from animals and statues The AI system continuously analyses video streams from the surveillance cameras in its network, distinguishes human faces from non-human objects such as statues and animals, and much like a human brain, stores information about those faces in its memory, a mental image of the facial features so to speak. When we, the system user, upload an image of the person of interest to the AI system, the AI detects the face(s) in that image along with their particular features, search its memory for similar faces, and shows us where and when the person has appeared. We are in control of selecting the time period (up to days) and place (cameras) to search, and we can adjust the similarity level, i.e., how much a face matches the uploaded photo, to expand or fine-tune the search result according to our need. Furthermore, because the camera names and time stamps are available, the system can be linked with maps to track and predict the path of the person of interest. AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight Protecting people’s privacy with AI Face Search All features of face recognition can be enabled by the system user, such as to notify staff members when a person of interest is approaching the store AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight. First, with AI Face Search, no names, ID, personal information, or lists of any type are required to be saved in the system. The uploaded image can be erased from the system after use, there is no face database, and all faces in the camera live view can be blurred out post-processing to guarantee GDPR compliance. Second, the lack of a required face database, a live view with frames drawn around the detected faces and constant face matching in the background also significantly reduces the amount of computing resource to process the video stream, hence the lightweight. Face Search versus Face Recognition AI Face Search Face Recognition Quick search for a particular person in video footage Identify everyone in video footage Match detected face(s) in video stream to target face(s) in an uploaded image Match detected face(s) in video stream to a database Do not store faces and names in a database Must have a database with ID info Automatically protect privacy for GDPR compliance in public places May require additional paperwork to comply with privacy regulations Lightweight solution Complex solution for large-scale deployment Main use: locate persons of interest in a large area Main use: identify a person who passes through a checkpoint Of course, all features of face recognition can be enabled by the system user if necessary, such as to notify staff members when a person of interest is approaching the store, but the flexibility to not have such features and to use the search tool as a simple Google-like device particularly for people and images is the advantage of AI Face Search.Because Face Search is not based on face recognition, no faces and name identifications are stored Advantages of AI Face Search Artificial Intelligence has advanced so far in the past few years that its facial understanding capability is equivalent to that of a human. The AI will recognise the person of interest whether he has glasses, wears a hat, is drinking water, or is at an angle away from the camera. In summary, the advantages of Face Search: High efficiency: a target person can be located within a few seconds, which enables fast response time. High performance: high accuracy in a large database and stable performance, much like Google search for text-based queries. Easy setup and usage: AI appliance with the built-in face search engine can be customised to integrate to any existing NVR/VMS/camera system or as a standalone unit depending on the customer’s needs. The simple-to-use interface requires minimal training and no special programming skills. High-cost saving: the time saving and ease of use translate to orders of magnitude less manual effort than traditionally required, which means money saving. Scalability: AI can scale much faster and at a wider scope than human effort. AI performance simply relies on computing resource, and each Face Search appliance typically comes with the optimal hardware for any system size depending on the customer need, which can go up to thousands of cameras. Privacy: AI Face Search is not face recognition. For face recognition, there are privacy laws that limits the usage. Because Face Search is not based on face recognition, no faces and name identifications are stored, so Face Search can be used in many public environments to identify faces against past and real-time video recordings. AI Face Search match detected face(s) in video stream to target face(s) in an uploaded image Common use cases of AI Face Search In addition to the scenario of missing child in a shopping mall, other common use cases for the AI Face Search technology include: Retail management: Search, detect and locate VIP guests in hotels, shopping centres, resorts, etc. to promptly attend to their needs, track their behaviour pattern, and predict locations that they tend to visit. Crime suspect: Quickly search for and prove/disprove the presence of suspects (thief, robber, terrorist, etc.) in an incident at certain locations and time. School campus protection: With the recent increase in number of mass shootings in school campuses, there is a need to identify, locate and stop a weapon carrier on campus as soon as possible before he can start shooting. Face Search will enable the authorities to locate the suspect and trace his movements within seconds using multiple camera feeds from different areas on campus. Only one clear image of the suspect’s face is sufficient. In the race of technology development in response to business needs and security concerns, AI Face Search is a simple, lightweight solution for airports, shopping centres, schools, resorts, etc. to increase our efficiency, minimise manual effort in searching for people when incidents occur on site, and actively prevent potential incidents from occurring. By Paul Sun, CEO of IronYun, and Mai Truong, Marketing Manager of IronYun
With increased demands being placed on safety and security globally, and supported by advancements in IP cameras and 360-degree camera technology, the video surveillance industry is growing steadily. Market research indicates that this worldwide industry is expected to reach an estimated $39.3 billion in revenue by 2023, driven by a CAGR of 9.3 percent from 2018 to 2023. Video surveillance is not just about capturing footage (to review an event or incident when it occurs), but also about data analysis delivering actionable insights that can improve operational efficiencies, better understand customer buying behaviours, or simply just provide added value and intelligence. Growth of Ultra-HD surveillance To ensure that the quality of the data is good enough to extract the details required to drive these insights, surveillance cameras are technologically evolving as well, not only with expanded capabilities surrounding optical zoom and motion range,4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021 but also relating to improvements in signal-to-noise (S2N) ratios, light sensitivities (and the minimum illumination needed to produce usable images), wide dynamic ranges (WDR) for varying foreground and background illumination requirements, and of course, higher quality resolutions. As such, 4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021, representing an astonishing 170 percent growth per year, and will require three to six times the storage space of 1080p video dependent on the compression technology used. Surveillance cameras are typically connected to a networked video recorder (NVR) that acts as a gateway or local server, collecting data from the cameras and running video management software (VMS), as well as analytics. Capturing this data is dependent on the communications path between individual cameras and the NVR. If this connection is lost, whether intentional, unintentional, or a simple malfunction, surveillance video will no longer be captured and the system will cease operations. Therefore, it has become common to use microSD cards in surveillance cameras as a failsafe mechanism. Despite lost connectivity to the NVR, the camera can still record and capture raw footage locally until the network is restored, which in itself, could take a long time depending on maintenance staff or equipment availability, weather conditions, or other unplanned issues. Since microSD cards play a critical role as a failsafe mechanism to ensure service availability, it is important to choose the right card for capturing video footage. It has become common to use microSD cards in surveillance cameras as a failsafe mechanism if an NVR breaks Key characteristics of microSDs There are many different microSD cards to choose from for video capture at the network’s edge, and they range from industrial grade capabilities to commercial or retail grade, and everything in-between. To help make some of these uncertainties a little more certain, here are the key microSD card characteristics for video camera capture. Designed for surveillance As the market enjoys steady growth, storage vendors want to participate and have done so with a number of repurposed, repackaged, remarketed microSD cards targeted for video surveillance but with not much robustness, performance or capabilities specific to the application. Adding the absence of mean-time between failure (MTBF) specifications to the equation, microSD card reliability is typically a perceived measurement -- measured in hours of operation and relatively vague and hidden under metrics associated with the camera’s resolution and compression ratio. Therefore, when selecting a microSD card for surveillance cams at the edge, the choice should include a vendor that is trusted, has experience and a proven storage portfolio in video surveillance, and in microSD card technologies. Endurance, as it relates to microSD cards, represents the number of rewrites possible before the card can no longer store data correctly High endurance Endurance, as it relates to microSD cards, represents the number of rewrites (program/erase cycles) that are possible before the card can no longer store data correctly. The rewrite operation is cyclical whereby a new stream of footage replaces older content by writing over it until the card is full, and the cycle repeats. The higher the endurance, the longer the card will perform before it needs to be replaced. Endurance is also referred to in terabytes written (TBW) or by the number of hours that the card can record continuously (while overwriting data) before a failure will occur. Health monitoring Health monitoring is a desired capability that not many microSD cards currently support and enables the host system to check when the endurance levels of a card are low and needs to be replaced. Having a card that supports this capability enables system integrators and operators with the ability to perform preemptive maintenance that will help to reduce system failures, as well as associated maintenance costs. Performance To capture continuous streams of raw footage, microSD cards within surveillance cams perform write operations about seventy to ninety percent of the time, whereas reading captured footage is performed about ten to thirty percent. The difference in read/write performance is dependent on whether the card is used in an artificial intelligent (AI) capable camera, or a standard one. microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius Finding a card that is write-friendly, and can provide enough bandwidth to properly capture streamed data, and is cost-effective, requires one that falls between fast industrial card capabilities and slower commercial ones. Bandwidth in the range of 50 MB/sec for writes and 80 MB/sec for reads are typical and sufficient for microSD cards deployed within surveillance cameras. Temperature ranges Lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments As microSD cards must be designed for continuous operation in extreme weather conditions and a variety of climates, whether located indoors or out, support for various temperature ranges are another consideration. Given the wide spectrum of temperatures required by the camera makers, microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius, or in extreme cases, as low as -40 degrees Celsius. Capacity Selecting the right-sized capacity is also very important as there needs to be a minimum level to ensure that there is enough room to hold footage for a number of days or weeks before it is overwritten or the connectivity to the NVR is restored. Though 64GB is considered the capacity sweet spot for microSD cards deployed within surveillance cameras today, lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments. In the future, even higher capacities will be important for specific use cases and will potentially become standard capacities as the market evolves. When choosing the right storage microSD card to implement into your video surveillance system, make sure the card is designed specifically for the application – does it include the right levels of endurance and performance to capture continuous streams – can it withstand environmental challenges and wide temperature extremes – will it enable preventative and preemptive maintenance to provide years of service? It is critical for the surveillance system to be able to collect video footage whether the camera is connected to an NVR or is a standalone camera as collecting footage at the base of the surveillance system is the most crucial point of failure. As such, failsafe mechanisms are required to keep the camera recording until the network is restored.
Siklu, the pioneer in 5G mmWave wireless network solutions, announced that its radios have been deployed in the City of Cambridge, located roughly 100km West of Toronto in Ontario, to provide outdoor video security and support potential public Wi-Fi network services. The city has fibre connections connecting several municipal buildings and continues to deploy more where it makes economic sense. Fibre is used to connect fire stations to City Hall, for example. However, this particular application, outdoor video security, was one that needed more flexibility to accommodate the necessary camera locations. Most parking lots, Intersections and pedestrian walkways do not have a fibre POP (‘point of presence’) nearby. This meant the answer would almost certainly have to be a wireless solution. Need of flexible video security solution The wireless network would need to be able to backhaul gigabit per second public Wi-Fi APs with no additional truck rollsThe solution to be chosen had several additional requirements. It needed to be flexible when it came to expanding the video security coverage, it had to be secure and it also had to have enough capacity that it could support additional high bandwidth applications, such as the deployment of Public Wi-Fi. The wireless network would then need to be able to backhaul gigabit per second public Wi-Fi APs (‘access points’) with no additional truck rolls. The successful bidder on the project was Alliance Security Systems. Alliance investigated 5 GHz solutions as well as 60 GHz and determined that only 60 GHz products could meet current and future requirements. The ‘EtherHaul 600’ point-to-point 60 GHz solution from Siklu features plenty of capacity (from 100Mbps up to 1Gbps, software upgradeable), flexible deployment options (up to 1km “link” range), small size (mountable on street light poles) and immunity to radio interference (e.g., 5 GHz systems are subject to the ever increasing Wi-Fi noise floor). Deployment of P3717 multi-lens cameras Phase 1 of the program supported ten multi-lens camera deployments, and the network design had six 1-Gbps Siklu V-Band radios collocated at the city Clock Tower. This dense colocation was a result of the very narrow 60GHz radio beams and the abundant spectrum (14GHz) available. Deployment of the Siklu radios was accomplished within a week and incorporated an Axis Communications P3717 multi-lens cameras managed by a Genetec Security Center unified security platform. Since the installation of the video security network, a car theft ring was apprehended and there has been a reduction in crimeTom Hackett, Alliance Security Systems stated: “By utilising the point to point technology in such a way where we co-locate the head end, we end up approaching a cumulative speed of over 10Gbps per second once Phase 2 is commissioned. That’s just an astounding wireless speed in today’s world. The network has been such a success that beyond expansion plans with Cambridge, we are in discussions with other municipalities.” Reduction in crimes The City also operates the Phase 1 network to provide access to police as requested for specific incidents or investigations. Since the installation of the video security network, a car theft ring was apprehended and there has been a noticeable reduction in crime. Beginning in June 2019 or as soon as light poles become available, Phase 2 will add seven new cameras and will be supported by Siklu’s V-Band ‘EtherHaul 600’ radios. The EtherHaul 600 units feature 1 Gbits of capacity and can accommodate future expansions of the system. “The network was installed and is delivering in all aspects – high up time and excellent video quality,” said Trevor McWilliams, Manager of Business Development for the City of Cambridge Ontario Economic Development. “We are confident that the network deployed will operate for many years and be able to support new applications as needed.”
The Security Industry Association (SIA) has named Sen. Amy Klobuchar (D-Minn.), Sen. Deb Fischer (R-Neb.) and Rep. Donald Payne, Jr. (D-N.J.) as the 2019 recipients of the SIA Legislator of the Year Award. The awardees will be honoured at the upcoming SIA GovSummit, taking place June 26-27 in Washington, D.C. The SIA Legislator of the Year Award is presented annually to members of Congress and other elected officials who have demonstrated extraordinary leadership in advancing legislation and policies that encourage the effective use of technology solutions to enhance public safety and security and protect critical infrastructure. Recognition for promoting workforce development Sen. Fischer recently recognised SIA, along with SIA member companies Intel and VMware, as supporters of the DIGIT ActWith this award, Sen. Klobuchar will be recognised for her leadership on workforce development and life safety issues important to the security industry and its mission. In 2019, Klobuchar authored S.379, a bill that would allow workers to use “529” education savings accounts for training and credentialing programs, and S. 481 – the Nicholas and Zachary Burt Memorial Carbon Monoxide Poisoning Prevention Act – which would provide grant assistance for the purchase and installation of carbon monoxide detectors in dwelling units of low-income families and elderly persons, child care facilities, public schools and student housing owned by public universities. Sen. Fischer authored bipartisan legislation that would convene a working group of federal entities and private-sector stakeholders tasked with providing recommendations to Congress on how to facilitate the growth of connected Internet of Things (IoT) technologies. S. 1611, also known as the Developing and Growing the Internet of Things (DIGIT) Act, calls for the United States to craft a national strategy to position the United States as the global leader in IoT technologies. Sen. Fischer recently recognised SIA, along with SIA member companies Intel and VMware, as supporters of the DIGIT Act. Installing vehicular barriers to mitigate attacks Rep. Payne, who serves as chairman of the House Homeland Security Subcommittee on Emergency Preparedness, Response and Recovery, recently introduced H.R. 2160 – the Shielding Public Spaces From Vehicular Terrorism Act – which would help communities leverage homeland security grants to install vehicular barriers and implement other protective measures and direct research and development efforts on the emerging threats from vehicular attacks. Rep. Payne recently introduced H.R. 2160 – the Shielding Public Spaces From Vehicular Terrorism Act Payne also crafted H.R. 6920, the School Security Is Homeland Security Grant Act, which clarified allowable uses, requires a percentage of homeland security grants to be used for enhanced school security measures and increases overall authorisation for the grants. Enhancing perimeter and school security “SIA’s policy priorities include notable measures that help increase safety and security across many sectors, including the critical areas of perimeter security and school security, while helping the industry to stay ahead of megatrends such as the proliferation of IoT and the recruitment and retention of qualified workers,” said SIA CEO Don Erickson. “SIA applauds Sen. Klobuchar’s work to promote the 21st-century technology workforce essential to our industry, Sen. Fischer’s leadership in recognising the security industry’s role in fostering IoT growth, and Rep. Payne’s contributions to mitigating the threat of vehicular attacks and protecting students, staff, faculty and visitors in our nation’s schools.” Session on physical access control systems SIA GovSummit – the annual government security conference hosted by SIA – brings together government security leaders and private industry technologists for top-quality information sharing and education on security topics affecting federal, state and even local agencies. Attendees will find specialised sessions on topics such as modernising federal physical access control systems Attendees will find specialised sessions on topics such as modernising federal physical access control systems, the U.S. Department of Defense’s unified facilities criteria for security systems, facial recognition technology use for public safety and homeland security missions and helping communities protect religious institutions, crowded spaces and other soft targets. SIA GovSummit is free for all government employees, including federal, state, county and municipal-level staff (both domestic and international), plus all military, law enforcement and public safety representatives. Sponsors of the event This event is made possible thanks to the following sponsors and partners: Premier Sponsors LenelS2, HID Global, Tyco Security Products and Allegion; Event Sponsors AMAG Technology, American Fuel & Petrochemical Manufacturers, Axis Communications, B&B Roadway Security Solutions, Calpipe Security Bollards, the U.S. Department of Homeland Security Science and Technology Directorate, dormakaba, Gallagher, Genetec, Gibraltar, GSA Schedules, Inc., Hanwha Techwin America, HySecurity, IDEMIA, Identiv, ISC Security Events, Louroe Electronics, Marshalls, Milestone Systems, the National Initiative for Cybersecurity Careers and Studies, NetApp, Panasonic, the Secure Worker Access Consortium and TCP Security Solutions.
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.
Three reasons for adopting open architecture access control solutionsDownload
5 steps to finding the right access control system for youDownload
Why outdated access control systems are a big problemDownload
- Razberi Technologies' video surveillance appliances used to upgrade security at the City of Linden
- Hanwha Techwin unveils latest 4 and 8 channel Wisenet NVRs for train, bus and truck applications
- U.S. manufacturer uses March Networks video to boost safety and productivity
- Malaysian government selects Surveon NVR7800 Series for enhanced security of water treatment plant