Research on Gear Parameter Measurement Method Based on Machine Vision

The purpose of this paper is to design and implement a gear parameter measurement system based on HALCON. Taking standard involute gears as measurement objects, machine vision technology replaces traditional artificial vision measurement, which improves the efficiency and accuracy of gear detection, and reduces the influence of measurement errors and subjective judgment. A set of image acquisition platform is designed, which can easily obtain high-quality images of gears and provide a solid foundation for subsequent analysis. With HALCON image processing and analysis function, a set of image processing program is designed, which can automatically detect and extract the key geometric parameters of gears, including tooth number, modulus, etc., and display the measurement results intuitively. Through the experimental verification, the system shows a high degree of reliability in identifying the parameters of standard gears, and the measurement accuracy is in line with expectations. The experimental results show that the system can not only provide stable measurement performance, but also have high measurement accuracy, which provides a reference for the detection of gear parameters.