New York City is expanding its deployment of artificial intelligence-powered street sensors to 100 locations across the city as part of efforts to improve road safety through enhanced traffic monitoring.

The sensors utilize computer vision technology to automatically count pedestrians, cyclists, and vehicles at street intersections and corridors. City officials say the data collected will help inform traffic safety improvements and urban planning decisions.

The AI-powered monitoring system represents a significant expansion of smart city infrastructure in New York, building on earlier pilot programs that tested similar technology at select locations. The sensors are designed to track movement patterns and volume without identifying individual people.

City transportation officials indicated the data will be used to identify high-traffic areas, peak usage times, and potential safety hazards. The information could inform decisions about traffic signal timing, crosswalk placement, and other infrastructure modifications.

The rollout comes as cities nationwide are increasingly adopting smart sensor technology to manage urban challenges, though privacy advocates have raised questions about surveillance implications of such systems in public spaces.