Overview
By relying on video and IoT sensing devices in the city and providing multiple algorithms for different urban scenarios, it enables online monitoring and warning of urban events to safeguard public safety. It reconstructs the detection mechanism with computing power instead of manpower, thus offering enhanced timeliness, accuracy, and resource optimization for a safer urban environment.
Solution Value
Powered by AIoT, big data, and unified platforms, the city safety solution integrates frontline sensing, command centers, and emergency systems into a single, collaborative framework. It enables real-time situational awareness, rapid incident response, and cross-department coordination, while consolidating multi-source security data for analysis and visualization. Through data-driven insights such as risk assessment and trend prediction, the solution helps governments optimize patrol strategies, allocate resources more effectively, and strengthen long-term urban safety planning—building a safer, more resilient city.
Solutions by Applications
In core city areas such as plazas, and event zones, people and vehicles gather intensively during peak hours, increasing the risk of congestion and stampede incidents. By using high-point panoramic video with AI crowd analysis, operators can see crowd size, density distribution, and movement trends in real time, enabling early warning, rapid response, and safer, more efficient urban operations.
