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The safeguarding of premises through the monitoring of entrance and exit points has traditionally been a very manual aspect of security. Human operators have been relied on to make decisions about who to admit and deny based on levels of authorisation and the appropriate credentials. But the access control business, like many industries before it, is undergoing its own digital transformation; one where the protection of premises, assets and people is increasingly delivered by interconnected systems utilising IoT devices and cloud infrastructure to offer greater levels of security and protection. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification, right through to complex networks of thermal cameras, audio speakers and sensors. These systems, connected through the cloud, can be customised and scaled to meet the precise requirements of today’s customer. And it’s the ease of cloud integration, combined with open technologies and platforms that is encouraging increasing collaboration and exciting developments while rendering legacy systems largely unfit for purpose. Remote management and advanced diagnostics Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution.Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution. For example, as the world faces an unprecedented challenge and the COVID-19 pandemic continues to cause disruption, the ability to monitor and manage access to sites remotely is a welcome advantage for security teams who might otherwise have to check premises in person and risk breaking social distancing regulations. The benefits of not physically having to be on site extend to the locations within which these technologies can be utilised. As an example, within a critical infrastructure energy project, access can be granted remotely for maintenance on hard to reach locations. Advanced diagnostics can also play a part in such a scenario. When access control is integrated with video surveillance and IP audio, real-time monitoring of access points can identify possible trespassers with automated audio messages used to deter illegal access and making any dangers clear. And with video surveillance in the mix, high quality footage can be provided to authorities with real-time evidence of a crime in progress. Comprehensive protection in retail Within the retail industry, autonomous, cashier-less stores are already growing in popularity The use of connected technologies for advanced protection extends to many forward-looking applications. Within the retail industry, autonomous, cashier-less stores are already growing in popularity. Customers are able to use mobile technology to self-scan their chosen products and make payments, all from using a dedicated app. From an access control and security perspective, connected doors can be controlled to protect staff and monitor shopper movement. Remote management includes tasks such as rolling out firmware updates or restarting door controllers, with push notifications sent immediately to security personnel in the event of a breach or a door left open. Remote monitoring access control in storage In the storage facility space, this too can now be entirely run through the cloud with remote monitoring of access control and surveillance providing a secure and streamlined service. There is much to gain from automating the customer journey, where storage lockers are selected online and, following payment, customers are granted access. Through an app the customer can share their access with others, check event logs, and activate notifications. With traditional padlocks the sharing of access is not as practical, and it’s not easy for managers to keep a record of storage locker access. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers. The elimination of manual tasks, in both scenarios, represents cost savings. When doors are connected to the cloud, their geographical location is rendered largely irrelevant. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers They become IoT devices which are fully integrated and remotely programmable from anywhere, at any time. This creates a powerful advantage for the managers of these environments, making it possible to report on the status of a whole chain of stores, or to monitor access to numerous storage facilities, using the intelligence that the technology provides from the data it collects. Open platforms power continuous innovation All of these examples rely on open technology to make it possible, allowing developers and technology providers to avoid the pitfalls that come with the use of proprietary systems. The limitations of such systems have meant that the ideas, designs and concepts of the few have stifled the creativity and potential of the many, holding back innovation and letting the solutions become tired and their application predictable. Proprietary systems have meant that solution providers have been unable to meet their customers’ requirements until the latest upgrade becomes available or a new solution is rolled out. This use of open technology enables a system that allows for collaboration, the sharing of ideas and for the creation of partnerships to produce ground-breaking new applications of technology. Open systems demonstrate a confidence in a vendor’s own solutions and a willingness to share and encourage others to innovate and to facilitate joint learning. An example of the dynamic use of open technology is Axis’ physical access control hardware, which enables partners to develop their own cloud-based software for control and analysis of access points, all the while building and expanding on Axis’ technology platform. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification Opportunities for growth Open hardware, systems and platforms create opportunities for smaller and younger companies to participate and compete, giving them a good starting point, and some leverage within the industry when building and improving upon existing, proven technologies. This is important for the evolution and continual relevance of the physical security industry in a digitally enabled world. Through increased collaboration across technology platforms, and utilising the full range of possibilities afforded by the cloud environment, the manufacturers, vendors and installers of today’s IP enabled access control systems can continue to create smart solutions to meet the ever-changing demands and requirements of their customers across industry.
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
Coinciding with the recent launch of the Occupancy Monitoring application designed to help implement social distancing rules, Hanwha Techwin has also introduced a Face Mask Detection application which will further help businesses operate in a COVID-19 affected world. Wearing a mask is believed to prevent the spread of COVID-19 and has already been adopted as a safety measure in many workplaces. However, the availability of the Face Mask Detection application could not come at a better time with the World Health Organisation (WHO) now recommending the use of face masks wherever social distancing is difficult. The UK government is also making it compulsory to wear a face covering when visiting or working within healthcare facilities and when using public transport. Innovative video analytics An Alarm Out feature can also be used to turn on a device such as a warning beacon The UK is not alone in introducing regulations to ensure the wearing of face coverings. In Germany, for example, it is necessary to do so when on public transport and while shopping, and in Spain everyone older than six, has to wear masks in indoor public spaces and outdoors when it is not easy for people to keep more than two metres apart. The Face Mask Detection application developed by Hanwha Techwin’s technology partner, a2 Technology, runs on open-platform Wisenet X Series cameras and uses innovative video analytics to detect if a person entering an area is not wearing a mask. This will trigger the playing of a customisable audio message such as ‘please wear a face mask’. Fixed lens cameras The audio message is generated via an audio support feature built into Wisenet X cameras, negating the need for a PC or a separate audio storage device to be installed nearby. A short cable is all that is required to connect a speaker to the camera. An Alarm Out feature can also be used to turn on a device such as a warning beacon. The application, which simultaneously detects and analyses up to 4 people and can detect people at a distance up to 5 metres from a camera, is not affected by glasses, hats or scarfs, is also able to detect if a mask is not being correctly worn. A digital zoom-in function, which is designed to be used with fixed lens cameras, assists installers to configure the application so that it focuses on a specific region of a camera’s field of view if it is considered to be too wide. Edge-based solution The Face Mask Detection application can be ordered pre-loaded on selected Wisenet X models as an out-of-the-box solution. These are: XNB-6000/MSK Network box camera XNO-6080/MSK Network IR bullet camera XND-6010/MSK Network dome camera XNV-6011/MSK Vandal-resistant network dome camera As is the case with all Wisenet X Series cameras, these models are equipped with SD/SDHC/SDXC memory slots, enabling images associated with incidents of people not wearing masks or not wearing them correctly, to be stored locally. There is also the option for the images to be stored on an FTP server. Video Management Software We fully understand our responsibilities in terms of offering solutions which are fit for purpose" A web-based interface enables users to receive alerts via a desktop PC. The application has also been integrated with the Wisenet WAVE 4.0 Video Management Software (VMS) platform which, with its ‘Layout-as-an-Action’ feature, enables a predefined screen layout to be automatically opened when an event occurs. This makes it even easier for operators to verify there has been an infringement of mask wearing rules. “The Face Mask Detection application is an excellent example of how video surveillance technology is able to help people safely go about their every-day business,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. Occupancy Monitoring applications “With lives sadly at stake, we fully understand our responsibilities in terms of offering solutions which are fit for purpose, such as the Face Mask Detection and Occupancy Monitoring applications." "Over the coming weeks we will therefore continue to work in-house and with hand-picked technology partners to develop additional practical solutions which will robustly assist offices, factories, hospitals, art galleries and museums, places of worship, transport facilities and many other types of businesses and organisations, to safely open their doors to the public.”
Help is immediately on hand for businesses who are urgently seeking to safely re-open their doors following the easing of COVID-19 related restrictions. Hanwha Techwin’s licence-free Occupancy Monitoring application provides retailers, places of worship and museums, as well as leisure facilities, pubs, clubs and restaurants, with highly accurate data on the number of customers on their premises at any particular time. Edge-based Occupancy Monitoring Compatible with the recently introduced Wisenet P Series AI cameras, the edge-based Occupancy Monitoring application simultaneously counts the number of people entering or leaving a building. When the maximum permitted number of people has been reached, the application generates alarm outputs to control automatic doors or a traffic beacon, as well as ‘wait’ or ‘enter’ messages that can be displayed on a monitor. Serverless solution The Occupancy Monitoring application has the power to aggregate and process data from multiple cameras The Occupancy Monitoring application has the power to aggregate and process data from multiple cameras and is therefore, ideal for buildings with multiple entrances and exits. As a serverless solution, it negates the need for system integrators to spend time configuring complicated server-side software. It also significantly reduces the capital cost of a project as the end-user does not need to incur the cost of buying a server. Deep Learning AI built into cameras With the support of Deep Learning AI built into the cameras, the Occupancy Monitoring application offers the additional benefit of being able to accurately count people even when a camera is wall mounted. Unlike less accurate people counting solutions which use conventional video analytics, the camera does not have to be mounted on a ceiling to provide an overhead field of view. This means, the camera can be simultaneously used for security purposes and people counting, and users are also able to take advantage of a host of additional video analytics applications which can be run onboard the camera, including heat map and intrusion, loitering and people/object detection. The new Wisenet Occupancy Monitoring application is compatible with the following cameras: PNB-A9001 - 4K AI box camera PNO-A9081R - 4K AI bullet camera PNV-A9081R - 4K AI vandal-resistant dome camera with built-in IR illumination PND-A9081RF - 4K AI flush-mount dome camera with built-in IR illumination PND-A9081RV - 4K AI dome camera with built-in IR illumination Time and cost savings The dome cameras have a four-part magnetic modular design, which makes them extremely easy to install The dome cameras have a four-part magnetic modular design, which makes them extremely easy to install. The ability to prefigure IP network settings without the need to remove the camera modules from their packaging also reduces the time an engineer has to spend on site, thereby enabling companies with multiple sites to rapidly roll-out the application with minimal disruption to their business. Wisenet P Series AI cameras The high-performance and feature-rich Wisenet P Series AI cameras will continue to deliver significant benefits beyond the immediate requirement to support the Occupancy Monitoring application during COVID-19. In addition to being used to detect and monitor any criminal activity, they can easily be redeployed to capture valuable business intelligence and help companies improve productivity. Retailers, in particular, can analyse the impact of any marketing activities on footfall and by identifying a store’s busiest times, better manage the peaks and troughs of customer flow at checkouts. Integrated with Wisenet Retail Insight (v2.0) In this respect, the cameras are supported by Wisenet Retail Insight (v2.0), a business intelligence solution, which utilises people counting, heat mapping and queue management applications to display statistical analytics on a centralised dashboard, along with other practical information such as weather reports. With the help of AI algorithms onboard the Wisenet P Series AI cameras, Retail Insight is also able to display an estimated age and gender of store visitors. Hanwha Techwin has always been able to rapidly respond to changing market demands" Licence-free solution “At this most challenging of times for our communities and the economy, we are proud to have the opportunity to contribute to the efforts being made to recover from the effects of COVID-19 by offering the Occupancy Monitoring application as a licence-free solution,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. Uri adds, “With the security budgets of many businesses being stretched, we have felt a social responsibility to offer the application licence-free and in doing so, help maximise the number of end-users who are able benefit from it.” He further said, “Hanwha Techwin has always been able to rapidly respond to changing market demands and with countless businesses extremely eager to re-open, we have yet again been able to rise to the challenge. This rapidly deployable, innovative and highly effective solution can offer peace of mind by assisting the implementation of social distancing rules at any building open to the public.”
Security & Safety Things GmbH (S&ST) is set to reshape innovation in video analytics and computer vision with the commercial availability of a number of new smart IP security cameras, from a variety of vendors, that leverage the Security & Safety Things open and secure IoT platform. This new generation of security cameras will operate using the free S&ST camera operating system, which enables the cameras to run multiple AI-enabled applications in parallel. The apps automate the analysis of video data to produce valuable operational intelligence for business optimisation as well as provide easy to deploy tools that can aid in re-opening measures from the COVID-19 pandemic. Pandemic health and safety mandates “Organisations of all sizes around the world need flexible, easy to deploy solutions that enable compliance with constantly changing pandemic health and safety mandates and provide future value to ramp up and optimise their ongoing business operations,” says Hartmut Schaper, chief executive officer, Security & Safety Things. Companies can now deploy cameras, running the S&ST OS and using a selection of apps" “Companies can now deploy cameras, running the S&ST OS and using a selection of apps from our Application Store, to detect the absence of facial coverings in a retail environment. Tomorrow, the same camera can help that same retailer to optimise merchandise placement based on store foot traffic, in one store or throughout the enterprise, along with further optimisations.” IP-based surveillance footage Qisda/Topview will be the first camera manufacturer to launch a camera running the S&ST OS in May, followed in quick succession by AndroVideo, who will also start shipping their S&ST enabled cameras in Q2. Bosch is making their INTEOX camera line available as of July followed by camera firms Vivotek and BSTsecurity who plan to ship a bit later in Q3. The first devices from Hanwha Techwin that run the S&ST OS are expected to be commercially available in Q4. Security & Safety Things, Hanwha, Vivotek, Bosch, Qisda/Topview, and AndroVideo are also all proud members of the OpenSecurity and Safety Alliance (OSSA). The free Security & Safety Things OS is built on the Android Open Source Project (AOSP). It leverages the expanding processing and analytic power of modern IP cameras to exponentially increase the amount of operational intelligence that can be mined from traditional IP-based surveillance footage. Drone threat detection It already features more than 50 applications from more than 35 developer partners The applications that can be installed on these cameras, both in an on-premise as well as a remote setting, are created by highly specialised third-party developers and are available through the platform’s open Application Store. It already features more than 50 applications from more than 35 developer partners, with more than 30 additional apps expected to hit the store soon. In addition to pandemic applications, use cases include detection of weapons, behavioural analysis, payment systems for parking garages, drone threat detection and even identifying objects presented for purchase in a cash register transaction for cashier-free retail environments. Security & Safety Things, together with some of its camera and system integration partners are already running projects in a live setting. These projects use, for example, heat mapping and queue analysis in retail stores and automated payment processing and license plate recognition for barrier free traffic. These types of applications are running in pilots with the parking management solutions provider Peter Park as well as with the mobility provider SIXT.
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