Abstract
Fault detection is an important step in gear production, but the traditional methods are inefficient. In this paper, a novel method for gear parameter measurement is proposed based on computer vision. First, we introduce the hardware composition of a system and the main structure of the software algorithm. Next, we discuss the principles of digital image pre-processing, image segmentation, and image analysis and also analyse the detailed steps, including gear centre positioning, gear tooth root radius calculation, and the addendum circle radius calculation. Finally, we show how the other parameters of the gear can be calculated using formulas, and how possible faults can be detected accordingly. This method is simple and requires neither edge detection nor Hough transformation. Experiments show that the system is stable and fast and that it can meet the needs of gear parameter measurement, replacing manual detection in actual production.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
