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Vision System을 이용한 PCB 검사 매칭 알고리즘
안응섭,장일용,이재강,김일환 江原大學校 産業技術硏究所 2001 産業技術硏究 Vol.21 No.B
According as the patterns of PCB (Printed Circuit Board) became denser and complicated, quality and accuracy of PCB influence the performance of final product. It's attempted to obtain trust of 100% about all of parts. Because human inspection in mass-production manufacturing facilities are both time-consuming and very expensive, the automation of visual inspection has been attempted for many years. Thus, automatic visual inspection of PCB is required. In this paper, we used an algorithm which compares the reference PCB patterns and the input PCB patterns are separated an object and a scene by filtering and edge detection. And than compare two image using pattern matching algorithm. We suggest an defect inspection algorithm in PCB pattern, to be satisfied low cost, high speed, high performance and flexibility on the basis of 640×480 binary pattern.
조용원,안응섭,이재강,김일환 江原大學校 産業技術硏究所 2002 産業技術硏究 Vol.22 No.A
Counters for various kinds of bank notes require high-speed distinctive point extraction and recognition for notes. In this paper we propose a new point extraction and data extraction method from specific parts of a bank note representing the same color. The recognition algorithm uses a back-propagation neural network that has coordinate data input. The proposed algorithm is designed to minimize recognition time.