MIT Is Rolling Out a Network of 500 Cameras with AI Recognition

The Massachusetts Institute of Technology, a symbol of cutting-edge technology, is turning into a testing ground for a large-scale surveillance experiment. As the student newspaper The Tech reports, the institute is putting more than $3 million toward installing over 500 cameras equipped with artificial intelligence. They will outfit academic buildings, dormitories and open spaces along Memorial Drive.

What the New Cameras Can Do

Installation of the equipment, along with the accompanying wiring and infrastructure, began in November 2025 and will likely continue through September 2026. According to the technical specifications, the cameras will be able to gather data about faces and objects in real time: detecting movement, crowds, idle “loitering,” protective masks over faces, and attempts to disable the camera itself.

Worth noting separately is the ability to automatically classify people—by clothing color, gender and age, and at that from up to 11 meters away from the lens. According to MIT spokesperson Kimberly Allen, the data collected is stored “for up to 30 days,” unless an exception is made.

Hardware and Processing

Most of the cameras belong to the Hanwha Wisenet AI line. The manufacturer advertises their ability to recognize and classify several objects at once using deep learning algorithms. The devices support resolutions from 2 megapixels up to 4K and identify faces, license plates, vehicles and other objects in real time.

Nearly all of the cameras are equipped with pan, tilt and zoom mechanisms, while continuous monitoring is handled by separate software called Ai-RGUS.

The irony is that an institution where the technologies of the future are born is now itself becoming a proving ground for tools of total surveillance—with the caveat that “the data is stored only for up to thirty days,” which will hardly console those who find themselves in the field of view of five hundred smart lenses.

Source: Schneier on Security