Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques
- Resource Type
- Authors
- Anton Satria Prabuwono; Marzieh Mogharrebi; Kok Weng Ng; Mei Choo Ang; Amirhossein Aghamohammadi
- Source
- Advances in Visual Informatics ISBN: 9783319029573
IVIC
- Subject
- Automated optical inspection
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
law.invention
Visual inspection
Printed circuit board
Automated X-ray inspection
law
Component (UML)
Hardware_INTEGRATEDCIRCUITS
TRIZ
Computer vision
Artificial intelligence
business
Component placement
- Language
Automated visual inspection is an important step to assure the quality of printed circuit boards (PCB). Component placement errors such as missing, misaligned or incorrectly rotated component are major causes of defects on surface mount PCB. This paper proposes a novel automated visual inspection method for PCB. The proposed method uses a sequence of image processing techniques inspired by the theory of inventive problem solving (TRIZ) with Affine-SIFT image matching techniques to enhance the component placement inspection. Only analytic discussions are presented in this paper to support the potential of the proposed method.