BARE PCB DEFECT DETECTING AND SORTING SYSTEM
Decisions made by human inspectors often involve subjective judgment, in addition to being intensive and therefore costly; an automated approach for printed circuit board (PCB) inspection is preferred to eliminate subjective discrimination. So, an automated visual printed circuit board (PCB) inspection is an approach used to counter difficulties occurred in humans manual inspection that can eliminates subjective aspects and then provides fast, quantitative, and dimensional assessments. We first compare a standard PCB image with a PCB image to be inspected, using a simple subtraction algorithm that can detect the defected regions. Our focus is to detect defects on printed circuit boards. Typical defects that can be detected are over etchings (opens), under-etchings (shorts), holes etc and then sort out defected PCBs. This project uses image processing algorithm, bare, monochrome computer generated PCBs.
Key words: Real-MATLAB, Keil compiler, 5MP camera, 8051 series Microcontroller, Image substraction, PCB.
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International Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.