"The US Department of Homeland Security is seeking to develop a new mobile surveillance platform that fuses artificial intelligence, radar, high-powered cameras, and wireless networking into a single system, according to federal contracting records reviewed by WIRED. The technology would mount on 4x4 vehicles capable of reaching remote areas and transforming into rolling, autonomous observation towers, extending the reach of border surveillance far beyond its current fixed sites."
"If M2S2 performs as described, border patrol agents could park their vehicles, raise a telescoping mast, and within minutes start detecting motion several miles away. The system would rely heavily on so-called computer vision, a kind of "artificial intelligence" that allows machines to interpret visual data frame by frame and detect shapes, heat signatures, and movement patterns. Such algorithms-previously developed for use in war drones -are trained on thousands if not millions of images to distinguish between people, animals, and vehicles."
The Department of Homeland Security is developing a Modular Mobile Surveillance System (M2S2) that mounts AI, radar, high-powered cameras, and wireless networking on 4x4 vehicles to create autonomous observation towers in remote areas. Vehicles will deploy telescoping masts allowing agents to detect motion several miles away. The platform will employ computer vision algorithms trained on large image datasets to distinguish people, animals, and vehicles. Draft technical documents and data requirements have been published in a presolicitation notice. The program aims to expand border surveillance capacity beyond fixed sites amid increased funding and enforcement priorities.
Read at WIRED
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