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 4×4 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.
The proposed system surfaced Friday after US Customs and Border Protection quietly published a presolicitation notice for what it’s calling a Modular Mobile Surveillance System, or M2S2. The listing includes draft technical documents, data requirements, and design objectives.
DHS did not respond to a request for comment.
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 development of M2S2 comes amid the Trump administration’s sweeping crackdown on undocumented immigrants across the US. As part of this push, which has sparked widespread protests and condemnation for the brutal tactics used by immigration authorities, Congress boosted DHS’s discretionary budget authority to roughly $65 billion. The GOP’s “One Big Beautiful Bill” allocates over $160 billion for immigration enforcement and border measures—most of it directed to DHS—with the funds scheduled to be distributed over multiple years. The administration has sought to increase DHS funding by roughly 65 percent, proposing the largest expansion in the agency’s history to fund new border enforcement, detention capacity, and immigration surveillance initiatives.
According to documents reviewed by WIRED, locations of objects targeted by the system would be pinpointed on digital maps within 250 feet of their true location (with a stretch goal of around 50 feet) and transmit that data across an app called TAK—a government-built tactical mapping platform developed by the US Defense Department to help troops coordinate movements and avoid friendly fire.
DHS envisions two modes of operation: one with an agent on site and another where the trucks sit mostly unattended. In the latter case, the vehicle’s onboard AI would conduct the surveillance and send remote operators alerts when it detects activity. Missions are to be logged start to finish, with video, maps, and sensor data retained for a minimum of 15 days, locked against deletion “under any circumstances.”
