Our solution utilizes advanced AI vision algorithms to monitor crowded scenes under camera surveillance, automatically detecting intense physical altercations among multiple individuals and triggering real-time violation alerts.

Our solution leverages advanced AI vision algorithms to monitor public spaces such as parks and squares, automatically detecting unauthorized banner hanging behaviors and triggering real-time alerts to maintain urban order.

Our solution utilizes advanced AI vision algorithms to monitor public spaces such as parks and squares, automatically detecting unauthorized sign-holding behaviors (e.g., protest signs, advertisements) and triggering real-time alerts to maintain urban order and regulatory compliance.

Our solution employs advanced AI vision algorithms to precisely identify pedestrians lying on roads or curbs—particularly intoxicated individuals—in nighttime conditions, helping reduce false alarms and optimize emergency response resources.

Our solution employs advanced AI vision algorithms to precisely identify pedestrians squatting on roads or curbs—particularly intoxicated individuals—in nighttime conditions, reducing false alarms and optimizing emergency response resources.

Our solution employs advanced AI vision algorithms to automatically analyze video streams or high-resolution images from targeted surveillance cameras, identifying abnormal crowd dwelling behaviors and triggering alerts based on configurable dwelling time thresholds.

Our solution leverages advanced AI vision algorithms to monitor security-sensitive areas, automatically detecting abnormal behaviors including loitering, lingering, boundary-crossing, and wall-climbing attempts to enhance perimeter protection.

Utilizing AI vision algorithms to count instantaneous crowd density in key public areas, enabling real-time crowd guidance and flow control.

Our solution utilizes advanced AI vision algorithms to accurately monitor and analyze bidirectional pedestrian flow through entry/exit channels in public venues, enabling real-time crowd guidance and dynamic flow restriction to ensure safety and operational efficiency.

Our solution employs advanced AI vision algorithms to analyze video streams or high-resolution images from designated surveillance cameras, automatically calculating crowd density and total population while triggering alerts when predefined thresholds are exceeded.

Our solution employs advanced AI vision algorithms to analyze video streams or high-resolution images from designated surveillance cameras, automatically detecting abnormal crowd dwelling behaviors and triggering alerts based on configurable time thresholds to enhance public safety and operational efficiency.

Our solution leverages advanced AI vision algorithms to accurately count individuals crossing predefined virtual lines in video streams from designated cameras, delivering real-time statistical outputs and deep behavioral insights for optimized operational management.