Research on Identification Method of Electric Vehicles in Elevators Based on Improved YOLOv8
A new electric vehicle identification method combining AUGMIX and improved YOLOv8 model is proposed to address the issues of low efficiency and poor accuracy in identifying electric vehicles in elevators.The YOLOv8 model incorporates DCNv3 and BRA to identify electric vehicles with better accuracy and efficiency.The experimental results show that the precision,recall,and mean average precision of the improved algorithm model reach 94.5%,93%,and 82.4%respectively.And the accuracy of electric vehicle identification reaches 95.8%,providing a theoretical basis for intelligent recognition of electric vehicles in elevators.
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