Introduction:
Detect pedestrians, vehicles, and non-motor vehicles in the image and return target coordinates
Applications:
Traffic flow monitoring, violation monitoring, smart cities, etc
Advantages:
· Comprehensive scene coverage: The model uses multi-scenario training data, covering pedestrian/vehicle/non-vehicle detection requirements in complex environments such as rain, snow, fog, and day-night lighting variations
· Strong detection stability: Fusing multi-object tracking algorithms to support continuous stable recognition of pedestrian posture changes, non-motorcycle riding states, and vehicle movements
· High detection accuracy: Through feature decoupling technology, accurately distinguish pedestrians, motor vehicles, and non-motor vehicles
Long detection distance: Maximum detection distance exceeds 25m
Video:
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