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Auto Body Scratch Detection and Processing Based on Machine Vision
LIU Wanhua
2023, 48(9):
172-178.
DOI: 10.16638/j.cnki.1671-7988.2023.09.034
With the development and progress of science and technology, cars have entered people's
daily life and become one of the necessities for travel. Due to human factors such as improper
scrubbing and nursing, or natural causes such as scratching with other vehicles, roadside branches or
fixtures when the car is driving, it is easy to cause scratches of different depths on the car body,
affecting the beauty and use. For scratch detection, it is common to use manual detection. However,
with the development of society, various non-destructive detection technologies have gradually
emerged. The technology of scratch detection and recognition at home and abroad has been
constantly improved. From the beginning, the traditional manual dominated detection method to the common penetration recognition, magnetic particle recognition, image recognition and ultrasonic
laser based recognition methods. In view of the shortcomings of manual detection, such as low
efficiency, high miss rate and false detection rate, this paper proposes a scheme based on OTSU
algorithm and machine vision detection technology to realize automatic detection of car body
scratches. This scheme is safe and reliable, can work for a long time in difficult and complex working
environments, and can achieve high detection accuracy. In order to restore the beauty of the car body,
several different repair processes are proposed according to different scratch damage degrees.
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