Cities run on awareness. Atomrock's AIOT Smart City platform turns every district into a connected sensing fabric, where AI cameras, IoT sensors, and identification systems converge into a single operations layer. Incidents surface in real time and response coordinates seamlessly across police, fire, and municipal services.
Citywide cameras turn ordinary surveillance into actionable intelligence. The system identifies people, vehicles, and incidents the moment they appear on screen, supporting investigations, missing-person searches, and rapid response as events unfold across the city camera network.
Beyond cameras, distributed IoT sensors give the city environmental awareness. Temperature, humidity, water level, vibration, and air quality data feed the same platform, triggering automated alerts for floods, heatwaves, and infrastructure failures long before they escalate into emergencies.
From parking lots and agriculture to public transportation and crowd flow analysis, more than a dozen vertical applications draw from the same AI building blocks. Object classification, motion detection, photo search, occupancy analysis, each tuned for the specific scene but running on one shared infrastructure.
Outdoor pole-mounted, vehicle-mounted, and mobile tower installations link to the cloud via 4G LTE and 5G. Indoor deployments connect through corporate firewalls and LAN switches. Both feed into the same Atomrock Cloud, where operators manage the entire network from a unified command center on web and mobile.
Beyond outdoor surveillance, the platform extends inside the buildings the city runs on. Facial recognition gates handle entry to municipal offices, schools, coworking spaces, and public facilities, paired with NFC cards, wristbands, and biometric backup for layered authentication. The same wearables also track personnel, emergency responders, and at-risk residents such as children and elderly in real time, so building operators and dispatch teams always know who is where, from the front lobby to the last room.