TEMPLATE BASED DEFECT DETECTION OF FLEXIBLE PRINTED CIRCUIT
This study presented a research on machine vision inspection to define defects on flexible printed circuit (FPC). The images were subjected to image processing system where an elimination-subtraction method used. In this algorithm, 7 types of FPC defects defined and simulated in the system using Specimen 1 and processing time taken for both side inspection was 3.3s. Then, the commercial patent design of FPC was tested as specimen 2 to define short circuit defects on it. The processing time taken by this algorithm on specimen 2 was 0.28s. Comparison on manual inspection and machine vision implementation were carried out and greatly resulted on shorten inspection time to 59.7%. This result shows significant contribution in increasing the efficiency of FPC inspection process.