Research on matching algorithm for automatic testing of automotive instruments

This study addresses the challenge of automating the automotive instrument testing process, traditionally reliant on manual inspection and subjective evaluation. We propose an algorithm based on template matching, enhanced with feature-point-based image matching techniques, to improve the accuracy and reliability of automated testing for automotive instruments. By integrating classical template matching with advanced feature detection algorithms, our approach aims to overcome the limitations of traditional methods, especially in handling variations in lighting, orientation, and scale. This paper presents a comprehensive analysis of the algorithm's performance, demonstrating its potential in automating and refining the instrument testing process.