Research on the Detection Technology of Truck's Wheel Axle Classification Based on YOLOv5
The number of axle is an important basis to judge the load of truck,and the accurate number of axle is particularly important in the control of overload.In this paper,a classification detection method for truck axle is designed based on YOLOv5 framework.The method mainly realizes the recognition and counting of the wheels in the captured images of the trucks by making training data,training model,axle recognition and counting classification.The test results show that this method has high accuracy,strong anti-interference ability,less hardware cost and fast detection speed.In practice,it can provide rapid and accurate judgment basis for the work of overcontrol and improve the intelligence level of overweight management business.
NETL
NSTL
万方数据
