MIT to Become Hotbed of AI Video Surveillance
MIT is investing heavily in a massive AI-powered surveillance system, deploying over 500 cameras across campus and surrounding areas. These cameras will collect detailed data on individuals and objects, including facial recognition, clothing analysis, and license plate detection, raising significant privacy concerns.
MIT is planning to install a substantial number of AI-powered surveillance cameras across its campus and surrounding areas. The project, costing over $3 million, will involve the deployment of more than 500 cameras in academic buildings, residence halls, and outdoor locations along Memorial Drive. Installation is scheduled to begin in November 2025 and continue until September 2026. The cameras, sourced from Hanwha’s Wisenet AI line, are designed to collect real-time data on various aspects, including facial recognition, object classification (such as loitering and crowds), and even clothing color and gender identification, up to 35 feet away. The system will utilize deep learning algorithms to analyze video feeds and identify multiple objects simultaneously. According to a statement from MIT spokesperson Kimberly Allen, any collected data will be stored for up to 30 days, subject to exceptions.