JOURNAL ARTICLE

Machine vision for industrial inspection metrology and guidance

Abstract

The author discusses several areas of uses of machine vision in automated manufacturing. Applications from automotive, aerospace, and related industries are provided. It is noted that, until recently, the quality control of dimensional integrity of large objects such as car bodies has been difficult to obtain, primarily because of a lack of suitable measurement equipment. Recently, light sectioning technologies have been developed which allow multiple parameter gaging inline for such objects. The technology utilized is based on the principle of laser light sectioning. Similar sensor technologies have also been applied to a number of robotic guidance applications. In this case, the vision technology is utilized to determine the actual location of the object and feed an offset path to the robot for assembly or other manufacturing purposes. The use of vision systems eliminates a need for precision fixturing and tooling. Another technology has been developed for the inspection of surfaces for waviness. It has application to composites, tooling, sheet metal, and other components. The technology magnifies and allows quantification of such defects as waviness, dings, dents, and other localized surface perturbations. A number of examples of implementation of this technology are provided.< >

Keywords:
Computer science Metrology Machine vision Aerospace Automated X-ray inspection Automated optical inspection Automotive industry Artificial intelligence Computer vision Robotics SMT placement equipment Offset (computer science) Robot Engineering drawing Image processing Engineering Aerospace engineering

Metrics

6
Cited By
0.76
FWCI (Field Weighted Citation Impact)
0
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Welding Techniques and Residual Stresses
Physical Sciences →  Engineering →  Mechanical Engineering
Surface Roughness and Optical Measurements
Physical Sciences →  Engineering →  Computational Mechanics

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