Flat spiral spring dimension inspection based on machine vision

Dimension inspection plays a vital role in spring quality control. Human inspection is a traditional way to classify the good pieces and not good pieces, which is instable and time consuming. In this paper, a machine vision based inspection system for flat spiral spring dimension inspection is proposed, which can inspect various sizes of flat spiral springs. A robust algorithm is developed to measure the flat spiral spring dimension. Four sets of testing samples are collected to evaluate and compare precision and efficiency between proposed vision system and human inspector. Experimental results show that precision of the proposed machine vision based system is 100%, the time consuming is 0.5 s to 0.7 s for one piece.