Automatic Detection of Avionics Electrical Connector Pins

Abstract

Abstract Avionics electronic connectors have a wide use and play a significant role in instrumentation and aerospace system. To substitute manual detection, we propose an automatic in-station connector pin detection system based on computer vision, machine vision, deep learning, and industrial robots. This system provides a high-reliable, high-accuracy, traceable, quantifiable, and real-time detection for connector pins.