An Object Detection Method for Hydraulic Pump Kitting by Integrating Digital Twin and Machine Vision Technology

Kitting can ensure the quality reliability and the completeness of materials before hydraulic pump assembly. Traditional hydraulic pump kitting relies heavily on the experience and judgment of operators, leading to inaccurate material detection and extremely low kitting efficiency. To solve this problem, this paper proposed a hydraulic pump kitting object detection method that integrates digital twin and machine vision technology, and has developed a system. The effectiveness of the system was verified through experiments and analysis of the system and object detection algorithms.