Car Wiper Arm Defect Detection Using Gabor Filter

In car industry, both accuracy and efficiency are equally crucial at the production line to supply high demands of wiper blades in car industry. Since the current production line is mostly employed using manpower, defect detection of car wiper arm remains a huge impact in the quality control process. However, the consistency and the accuracy of identifying defects are still not up to optimum state as the current defect detection method still heavily relies on human vision. To date, the defect detection of car wipers using machine vision has not been extensively implemented in the current car wipers industry. Hence in this paper, we proposed a very first machine vision method to identify defects on car wiper arm. We implemented Gabor filter to detect different kind of defects on wiper arm, such as scratch, bump, and orange skin. The proposed automated defect detection system for car wiper arm has achieved impressive detection accuracy with 81% within a short average processing time of 3.47 seconds.