The Department of Homeland Security (DHS) is developing a mobile surveillance platform that combines artificial intelligence (AI), radar, cameras, and wireless networking into vehicles that can transform into autonomous observation towers.
This month, US Customs and Border Protection (CBP) quietly published a pre-solicitation notice for the Modular Mobile Surveillance System (M2S2) that includes technical specifications and design objectives for technology that would extend border surveillance far beyond current fixed installations, according to federal contracting documents reviewed and reported on by Wired.
The system would let border patrol agents park their vehicles, deploy a telescoping mast, and begin detecting motion several miles away within minutes. Computer vision algorithms like those developed for military drones would analyze visual data to distinguish between people, animals, and vehicles based on shapes, heat signatures, and movement patterns.
Federal contractors can review the proposal and submit feedback by late November. The agency expects to open formal bidding in early 2026 and plans to award multiple purchase agreements lasting up to 10 years. The system represents CBP’s stab at surveillance technology, building on two decades of mobile camera trucks, fixed towers, and solar-powered autonomous installations.
DHS had no comment on the Wired report.
The initiative comes as the Trump administration intensifies its immigration crackdown, and proposed a 65% funding increase for DHS, the largest expansion in agency history.
Congress has boosted DHS discretionary budget authority to roughly $65 billion, while the GOP’s recent legislation allocates more than $160 billion for immigration enforcement and border measures.
The system is designed to pinpoint targets within 250 feet of their precise location, with a goal of 50-foot accuracy. Location data would be transmitted through TAK, a Defense Department tactical mapping platform originally intended to coordinate troop movements, according to the documents.
DHS has two operational modes in mind, Wired reported: One with an agent present, the other where vehicles operate mostly unattended. In autonomous mode, onboard AI conduct surveillance and alert remote operators when activity is detected. All missions would be logged with video, maps, and sensor data retained for at least 15 days with deletion prohibited under any circumstances.
The collected information will be classified as Controlled Unclassified Information, a designation for data that falls below national security classification but requires tight distribution controls. Even planning and testing documents will carry the restricted status.
Unlike earlier purpose-built vehicles, M2S2 uses a modular design allowing sensors and equipment to be transferred between vehicles in less than a day. Ruggedized networking equipment would connect via cellular, radio, or satellite links, feeding data to CBP command centers. Multiple vehicles could form a surveillance mesh, sharing information across the network.
