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Eagle eye vision2/20/2024 ![]() ![]() “AI is simply more powerful and accurate, but it does require much greater computing power and storage is required – something which the cloud is ideal solution for.” Often considered to be very similar, Drako explains that there are some key differences. What makes this acquisition different, it seems, is the decision to purchase a specific AI provider – rather than one in the video analytics field. “While, as an open platform, we already have (and will continue to have) hundreds of partners for analytics and integrations based on open APIs, we wanted to be able to offer customers pre-integrated AI functionality,” adds Drako. Resellers may simply need to provide initial support in tuning the business logic to work how customers would like – what should the system do after a licence plate has been read, for instance. The provision of Uncanny’s AI solutions to Eagle Eye software should also be an extremely smooth process, thanks to this move. With Eagle Eye’s software all cloud-based, there is no requirement for physical hardware installations which could be very costly and space-consuming for users, and may have prevented them from adopting AI-based applications previously. The acquisition is set to provide additional opportunities for installers and resellers, providing more value to Eagle Eye’s cloud-based video management solution and potentially increasing their recurring revenue. If searching for a ‘blue car’, for instance, the AI would automatically filter all sections of recorded video and pull these events up, without the operator needing to sit through hours of footage and manually spot cases. The first of which is ANPR (Automatic Numberplate Recognition), and the second is search functionality, whereby users will be able to search for specific objects in the environment through streams of footage. Uncanny has initially focused its AI in two key areas, which will be available to users of Eagle Eye’s software immediately. ![]() “Its technology is already deployed across thousands of locations, including Fortune 500 customers.” After evaluating ‘Uncanny Vision’ surveillance-based AI applications, it became clear to us it was the leader in the market,” says Drako. “The development in AI over recent years has led to a significant growth in providers, but a specialism in video surveillance isn’t quite as common. Crucially for Eagle Eye, its expertise lie in applying AI to video surveillance applications, which Dean notes was the key driver behind the move. Uncanny Vision’s team are described as experts in artificial intelligence (AI). We chat shortly after the company announced its major acquisition of AI provider Uncanny Vision – a move that adds new software capabilities and a 60-strong research and development team based in Bangalore, India to Eagle Eye’s portfolio. Despite a challenging couple of years, cloud-based video surveillance system specialist Eagle Eye Networks has grown by almost 100%, explains its CEO Dean Drako as we catch up over a video call.
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