PostureMonitor-
AI Safety Supervision Behavior Recognition Detector
Product Introduction
PostureMonitor-AI safety supervision behavior recognition detector breaks the traditional server form and has the advantages of strong concurrency, high recognition accuracy, fast computing speed, small size, and low power consumption. It achieves accurate recognition and efficient detection of personnel behavior and items in complex environments. The device can handle up to 200 video analysis channels on a single machine, and can process massive video data in a cluster, providing efficient, intelligent and reliable security monitoring solutions for users in various industries.
Functional Characteristics
Security Detection
intrusion detection, personnel gathering detection, electric bicycles entering the elevator detection.
Personnel Recognition
facial capture, facial recognition, crowd flow statistics, regional population statistics, fall detection, fighting, phone call recognition, mobile phone play detection, sleep detection.
Construction Site Monitoring
recognition of bare soil, recognition of standing water, recognition of engineering vehicles, recognition of muck vehicles uncovered, recognition of pedestrian masks, recognition of pedestrian wearing glasses, extraction of pedestrian characteristics, search for people by images.
Fire Safety
smog and flame, smoking, fire assess occupation, fire extinguisher displacement.
Vehicle Analysis
license plate recognition, recognition of engineering vehicles, vehicle capture, traffic flow statistics, urban governance, occupation management, recognition of garbage accumulation, garbage overflow, recognition of non-motor vehicle disorderly parking, recognition of motor vehicles disorderly parking, recognition of small animals, recognition of engineering vehicles, recognition of road water.
Fire Safety
smog and flame, smoking, fire assess occupation, fire extinguisher displacement.
Safety Production
masks, reflective clothing,working clothes recognition, helmet, long and short sleeves.
Application Scenarios