Based on the computer identification technology and the on-site camera, it can automatically identify whether there are people under the monitoring point, achieve the effect of real-time detection and early warning, fill in the blind corner of human control, and strengthen security control.
Real time monitoring of the trunk shape of trees and light poles. When the trunk shape of trees or light poles deviates and is judged to be toppled, the alarm information is output to the management platform or management terminal, XX time, XX place, XX scene and picture information. Inform relevant personnel to handle in…
View to identify early warning of livestock (ducks, cattle, horses) in reservoirs and river beaches; Realize the detection of the appearance of poultry and livestock in reservoirs and river mudflats. When poultry and livestock enter reservoirs and river mudflats, they will be regarded as suspicious actions and focused on. When birds and livestock cross the…
Based on artificial intelligence visual analysis technology, automatically identify whether the sluice is blocked by garbage or floating objects, and timely notify personnel to clean it.
Based on the large-scale flame data recognition training, cooperate with the camera to identify the open fire in the monitoring area in real time, send an alarm immediately, remind the monitoring room to check, and stop the loss in time. Suitable for indoor and outdoor complex environments.
Based on large-scale smoke scene data recognition training, cooperate with the camera to monitor the smoke dynamics in each area in real time, locate the smoke occurrence area, and immediately call the police for quick rescue.
Based on artificial intelligence visual analysis, it can automatically identify pedestrians running red lights, and immediately voice or push the screen for warning after detecting red light running, which greatly improves urban traffic safety.
Based on artificial intelligence visual analysis technology, the manhole cover of urban roads is automatically detected. If the manhole cover is detected to be missing or displaced, an alarm is given immediately and feedback is given to the staff for timely treatment.
Based on artificial intelligence analysis technology, it automatically identifies whether the trash can is full or whether the trash can overflows, immediately notifies the management personnel to clean it up in time, or warns pedestrians if they throw garbage into the pit.
