Based on the Application of Improved Yolov3 Intelligent Detection Algorithm in Tank Truck Loading And Unloading Operations

The role of safety detection in the loading and unloading of tank trucks is very important, but there is a problem that safety detection is not intelligent enough. In the past, manual inspection could not solve the intelligent detection problem in the loading and unloading operation of tank trucks, and the detection was not standardized. Therefore, this paper proposes an improved YOLOv3 intelligent detection algorithm for intelligent detection and analysis. Firstly, the characteristic analysis theory is used to intelligently detect the tank truck, and the index is divided according to the intelligent detection requirements to reduce the safety operation in the interfering factor. Then, the characteristic analysis theory intelligently detects the tank truck, forms an intelligent detection scheme, and conducts the safety operation results Comprehensive analysis. MATLAB simulation shows that under the condition of certain intelligent detection standards, the YOLOv3 intelligent detection algorithm is improved for tank trucks Intelligent detection, safety operation accuracy, detection time are better than previous intelligent detection methods.