Intelligent Judgment Method of Superimposed Label Recognition Technology Based on a Deep Learning Target Detection Algorithm for Detecting Wiring Errors in Current Transformer Tests

This paper presents a novel method of intelligent detection transformer wiring tests. It combines new deep learning-based object algorithm with tag code identification technique. Complex in the current error test scenarios implies need for frequent human testing and judgment by digitizing equipment terminals connected wires test. The automatic connection lines is realized, relying on learning from standard logically binding relationship. proposed instrumental greatly saving labor costs, reducing possibility error, improving work efficiency, developing concept training employees.