Computer vision algorithm for measurement and inspection of O-rings

O-rings are one of the most common seals used in industry. Precision measurement and inspection of O-rings play a vital role in seal quality control. Human inspection is a traditional way to remove defective O-rings, which is instable and time consuming. The aim of this paper is to utilize the detection algorithms based on computer vision technology to control the quality of O-rings, which includes the accurate measurement algorithm for the internal/sectional diameter and the classification algorithm for the surface defects. A machine vision system is implemented analyze the captured images of O-rings and perform the measurement and inspection processes. The proposed system is evaluated by inspecting a series of O-rings. Experimental results show that the proposed vision system is capable for measuring and inspecting O-rings seal with good accuracy and efficiency.