محمد حيدري عشاقي

Accurate measurement of geometric an‎d dimensional tolerances in industrial components plays a critical role in quality assurance an‎d the reduction of manufacturing errors. However, conventional contact-based measurement methods often suffer from limitations such as high cost, low measurement speed, an‎d inadequate performance in online inspection applications. In this study, a non-contact approach based on machine vision technology is proposed an‎d eva‎luated for the measurement of geometric tolerances in cylindrical structures. In the proposed methodology, three-dimensional data of the target components are acquired using optical scanning based on triangulation as well as short-range photogrammetry-based 3D reconstruction. Following system calibration, the relevant geometric parameters are extracted an‎d computed. The performance of these two approaches is comparatively assessed in terms of measurement accuracy, result stability, an‎d suitability for industrial environments. The results indicate that machine vision–based methods are capable of measuring geometric tolerances of cylindrical components with acceptable accuracy. Moreover, under controlled conditions, optical triangulation demonstrates higher measurement accuracy compared to photogrammetry. Overall, the findings suggest that machine vision technology can serve as an efficient alternative to conventional measurement techniques, particularly for quality control of large-scale an‎d complex industrial components.

بينايي ماشين , تلرانس‌هاي هندسي , اندازه‌گيري غيرتماسي , بازسازي سه بعدي , مثلث‌بندي نوري , فتوگرامتري برد كوتاه

Machine vision , Non-contact measurement , Geometric tolerances , 3D reconstruction , Optical triangulation , Close-range Photogrammetry

Mohammad Heydari Oshaghi

Dr. Majid Rajabi