![]() ![]() Applications also include managing traffic congestion, detecting vehicle accidents, automating speed control, locating missing or stolen vehicles, monitoring queues in retail environments, better managing retail product placement, enhancing warehouse tracking - generally providing more actionable intelligence at both the store and corporate levels. The cameras can also send an alert if a crowd is forming in a part of a city, and they can monitor packages left behind in stations, airports, and more. The blocked portions of the scene are not present in the recorded video, thus providing a privacy option for cameras that are facing private areas. This feature enables portions of the video (for example, a door or a window) to be blocked out before being encoded in the video stream. These features of our on-chip hardware cybersecurity block make it very difficult for a hacker to replace the firmware on the camera, providing another level of security and privacy at the system level.Īnother privacy feature that the new SoCs provide is called privacy masking. In addition, these SoCs contain a very secure hardware cybersecurity block, which includes one-time-programmable (OTP) memory, Arm® TrustZones, DRAM scrambling and I/O virtualization. No actual video needs to be stored or transmitted, which ensures total privacy. With the Ambarella CV5S and CV52S SoCs, the AI analysis can be performed on the camera and then the video can be discarded, with just a signature or metadata of the face being used to find a match. Less data transmission also means fewer points of entry for a hacker trying to access the video. First, these new SoCs provide the performance required to do AI on-camera, which is inherently more private than streaming the video to a server for analysis. To address that, Ambarella said it is providing customers with several ways to address privacy, using CV5S and CV52S security families of edge AI vision SoCs. There are of course privacy concerns about that. ![]() The cameras can be used for detecting the faces of criminals in crowds or recognizing license plates. ![]()
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