The system is capable of accurately identifying various targets in real-time, such as pedestrians and bicycles in road scenes, construction machinery and worker safety equipment compliance in construction sites, as well as livestock in agricultural environments.

This system adopts intelligent vision technology and is widely used in road and warehouse scenes. In road applications, it supports the recognition of multiple signs (speed limit, stop signs, etc.) and characters (such as license plates), thereby achieving regulatory violation alerts, accident records, and traffic supervision. In warehouse applications, it intelligently recognizes operational signs and triggers coordinated safety controls (such as alarms/decelerations) for forklifts to improve work safety.

Our product's camera has an automatic passenger counting function, which enables real-time recognition and motion tracking of the images captured by the camera, providing high-precision passenger counting. While conducting passenger flow analysis, the system also provides monitoring and video recording functions.

Our product utilizes deep learning models to accurately monitor the operational status of the camera in real-time (normal/dirty/obstructed/glare), triggering alerts for obvious anomalies to ensure monitoring quality.

Real time image analysis can accurately predict the motion status of forklifts (lifting, forward/backward). It intelligently coordinates with the device, including automatically activating the laser beam to assist in positioning during the fork arm lifting process, and disabling the laser during fork arm loading. Disable the reverse camera alarm during forward movement and ensure safe operation.

Through multi-layer neural networks, video image analysis, and clustering algorithms, our system can accurately monitor abnormal behaviors of drivers in real time (fatigue, distraction, smoking, talking, not wearing masks, and drinking alcohol), and trigger visual and auditory alerts to actively prompt standardized driving behavior to improve road safety.