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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.
Eagle Eye Networks has announced up to US$ 1,000,000 in available funding for the 2020 Drako School Grant, supporting the implementation and operation of security equipment, and cloud recording services at local school buildings and/or campuses. Eligible schools, or school districts, include accredited private and public schools; elementary schools, middle schools, high schools, and colleges. School security “By increasing access to high-quality cloud video surveillance we’re cultivating a safer environment for our students, parents, and staff. We believe that the future of video surveillance is in the cloud, and our schools deserve a flexible, secure, low-cost solution that only migrating to a Cloud VMS can guarantee,” said Dean Drako, CEO of Eagle Eye Networks. Eagle Eye Networks has extensive experience protecting schools across the nation Eagle Eye Networks has extensive experience protecting schools across the nation, collaborating with schools in over 15 states to provide modern, simple-to-use video surveillance solutions. Cloud video surveillance “We love Eagle Eye Networks. Compared to our slow, outdated surveillance system, we now have full confidence that the video is recording reliably in the cloud,” said former Drako School Grant winner, Timothy Lee, Principal at Oakwood High School in Oakwood, Illinois. More schools are moving their video surveillance to the Cloud because: Flexible permission-based accessibility: Administrators can see what is happening in any location from any device running the Cloud VMS mobile app or a modern browser. First Responders access: School VMS administrators have the option to designate first responders to receive real-time and historical video access during emergency situations. Access control: Integrations with global companies like Brivo, DMP and Salto provide customers with comprehensive solutions that combine cloud video surveillance with key access control functions. IT efficiencies: Reduce the amount of equipment and human resources needed onsite by eliminating the need for maintaining outdated on-site storage systems. Centralised management: The Eagle Eye Cloud VMS provides central management tools that enable administrators to track user activity and delegate or revoke user access, all from a mobile or web browser. Unlimited scalability: Eagle Eye Cloud VMS allows customers to expand storage capacity on demand, minimising capital expenditures and eliminating the need to decide how many servers will be needed in the future. Cyber security: All Eagle Eye Networks video is encrypted on site and remains encrypted at rest, in flight, and in our Cloud. This means your campus is not subject to unauthorised viewing or recording of school video. Cloud-based Eagle Eye Security Camera VMS The solution includes cameras, gateways, cloud services, and centralised management Grant recipients will receive one full year of funding for the cloud-based Eagle Eye Security Camera Video Management System (VMS) and associated components. The solution includes cameras, gateways, cloud recording services, and centralised management. Optionally, schools can use their existing security cameras, and integrate their on-site surveillance system to the Eagle Eye cloud-based VMS. School grant recipients are responsible for the cost of installation if necessary. Compatible IP, analog and HD over coax The Eagle Eye Security Camera VMS will work with a broad array of IP, analog, or HD over coax. Grant applications will be accepted through December 31, 2019. Grant winners will be notified of the next steps within 2 weeks of submission.
GSX 2019 got off to a jaunty start Tuesday. The show was humming with activity much of the day, and most exhibitors said they were pleased with the numbers and types of potential customers visiting their booths. There seemed to be less emphasis on product introductions than at the ISC West show in the spring (although there is much that is on the new side), while the trend toward system sales is continuing. Here's a review of Day 1 from the show floor. Dahua continues to educate market “Traffic-wise, the show is better than last year,” observed Tim Shen, Director of Marketing at Dahua Technology USA, at midday on Tuesday. “We met more people from Latin America,” he added. Shen theorised that Chicago is at the center of a larger territory of customers than last year’s location (Las Vegas). Dahua’s presence at the show makes a statement: We’re still here" Dahua has faced some negative publicity in the last year since they were banned from procurement by U.S. government customers by the National Defense Authorization Act (NDAA). Dahua’s presence at the show makes a statement, says Shen. The statement is “We’re still here.” Shen said only one visitor to the Dahua booth even mentioned the NDAA on the first day of the show, and the visitor was misinformed about the provisions and implications of the law. “There is a lot of misinformation,” he says. “We need to continue to educate the market.” Facial recognition, video metadata, and people counting New at the show is the Dahua Analytics+ line of cameras that feature more in-depth analysis of data such as facial attributes, video metadata, and people counting. For example, the cameras can identify 128 points in a face, with an additional 256 attributes analysed by the back-end recorder. Analysis can provide information such as age and gender, which can help a retailer analyse the demographics of their customers, for instance. Dahua is also adopting some of its consumer line of products for sale through the commercial channel. These include a flood light camera, a 2-megapixel WiFi camera and a doorbell camera. The products might be used outside of a retail store, for example, to complement Dahua commercial cameras that are used inside the store, says Shen. Dahua previewed a new multi-sensor camera that also includes a speed dome. The multi-sensor component combines eight views, each 2 megapixels, for a total of 16 megapixels. Below the multi-sensor camera is mounted a speed dome that can zoom in on regions of interest in the larger multisensor view. The camera will be launched in the fourth quarter. The show was humming with activity much of the day, and most exhibitors said they were pleased with the numbers and types of potential customers visiting their exhibits ACRE report continued North American growth “The industry’s momentum will continue to grow,” predicted Joe Grillo, Principal of ACRE. New areas such as cloud and mobile credentialing have the fastest growth rate, but are starting from a much smaller base, he said, so momentum in those categories will take time. ACRE sees continued rapid growth with no slowdown in the North American market Grillo noticed the first morning of GSX was busy, although there was a bit of a lull at midday. In terms of the business outlook, Grillo sees continued rapid growth with no slowdown in the North American market, although there have been some negative elements creeping into the outlook in Europe. Cybersecurity concerns in access control I caught up with Grillo at the booth promoting RS2, a Munster, Ind., access control company that Acre acquired last May. It is the only Acre company that is exhibiting at GSX. RS2 is one of two access control companies acquired by Acre in the last year — the other was Open Options, Addison, Texas. Grillo said the two acquired companies are complementary, especially in terms of their sales channels and geographic strengths. Although both are national companies, RS2 tends to be stronger in the Midwest, while Open Options sales emphasis is centered in Texas and emanates to the rest of the country. Concerns about vulnerabilities are a growing issue in access control, said Grillo, and more large endusers are conducting penetration testing of systems. The industry should welcome the scrutiny, he added. Cybersecurity also represents an business opportunity in access control, noted Grillo. Concerns about the vulnerabilities of legacy technologies such as 125Khz proximity cards and the Wiegand protocol will likely accelerate the pace of companies upgrading their access control systems There seemed to be less emphasis on product introductions than at the ISC West show in the spring (although there is much that is on the new side) Eagle Eye Networks and cloud-based VMS Ken Francis of Eagle Eye Networks had already realised some new client opportunities during the first day of the show, although he was not optimistic at the outset. In contacting potential clients to meet at the show, he had heard that many were not attending. Among Eagle Eye Networks’ news at the show is full integration of body-cams into their cloud-based video management system. “It’s the most unique thing happening from a video management perspective,” Francis said. Previously, if someone needed a video clip from a body cam, they had to use a separate software system.Five years from now, at least 80 percent of all VMS systems will be cloud-managed" Francis continues to be bullish on the subject of cloud adoption of video management and made a bold prediction: “Five years from now, at least 80 percent of all VMS systems will be cloud-managed.” Eagle Eye Networks is doing its part with “rocket growth” that is reflected in an increase of company employees from 27 to 165 or so. Economies of scale have enabled Eagle Eye Networks to lower subscription prices by up to 45 percent. Genetec's release self-service PIAM system Many of the “new” products at GSX 2019 are slight variations on what was introduced at ISC West last spring. An exception is Genetec’s introduction of ClearID, a self-service physical identity and access management (PIAM) system that enforces security policies while improving the flow of people within the organisation. The new system is integrated with the Genetec's Security Center Synergis access control system. PIAM systems have historically been customisable, complex to install and costly, which is why a lot of companies have not used a system. Genetec’s differentiator is that it is an off-the-shelf, out-of-the-box solution for a broader base of customers. “We scanned the market and found a lack of off-the-shelf identity management systems,” said Derek Arcuri, Product Marketing Manager, Genetec. “Targeting the mid-market, we are providing an accessible, ready-to-go cloud-based system that is ‘baked’ for the average company but can be integrated and expanded to include other systems.” The trend toward system sales at the show is continuing ClearID will simplify operation for the security department, which was previously tasked with a lot of administrative work in response to various departments. ClearID “pushes down” the authority to use the system to stakeholders (such as IT and/or facilities directors) and provides a system they can use themselves without involving security. “It empowers stakeholders and employees to work directly through the system rather than going through security,” says Arcuri. “It gives employees access based on stakeholder policies and improves the flow of people through an organisation. The security director is relieved of administrative work and can work on ‘real’ security.” I saw some other things today, too, which I will share in a future GSX article... And more about the show tomorrow.
Eagle Eye Networks unveiled enhancements to the Eagle Eye Cloud VMS supporting 15 additional third-party mobile and body worn cameras. The Eagle Eye VMS provides simultaneous operations, search, and cloud storage for fixed and mobile cameras. Managing and retrieving body-worn camera video has historically been a separate process from the primary video surveillance system. With Eagle Eye this can now be an integrated and cohesive process that requires less training, is more secure, and more reliable. The Eagle Eye mobile and body worn camera system includes: Viewing mobile and fixed camera footage in one cohesive interface eliminating the need for multiple applications. Archiving, storage, and retrieval of time-stamped mobile footage with GPS coordinates and tracking. Secure sharing of video via mp4 files or direct links to interested parties. An open platform that provides compatibility with a broad array of cameras. Unlimited video analytics from partners It's been proven repeatedly that open systems architectures win over proprietary systems" Today, Eagle Eye Networks provides support for over 3,500 mobile and fixed cameras. Access to a True Cloud system meaning virtually unlimited scalability, triple-redundant data centre architecture, full encrypted video, and comprehensive cyber security. Eagle Eye Networks' open API architecture, Eagle Eye Video API Platform, delivers unlimited video analytics from partners. AI Ready - With video stored in the cloud and open API's, new AI analysis is being continually developed and improved. "It's been proven repeatedly that open systems architectures win over proprietary systems. Eagle Eye Networks believes in open architecture standards and our platform, Eagle Eye Cloud VMS, demonstrates this. Extending our platform to encompass mobile cameras is a logical extension of our open camera platform. Our open platform ability to integrate third-party AI and Analytics is delivering on a broad set of applications for our customers," said Dean Drako, CEO of Eagle Eye Networks. Eagle Eye Networks customers have desired integration of mobile and fixed camera surveillance to reduce risk in commercial industries: in-home services, retail, guarding, commercial delivery services, real estate sales, and other service-oriented verticals. The mobile camera video and GPS data will be securely transferred to the Eagle Eye Cloud Data Center where video footage can be reviewed, analysed and stored.
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