MACHINE VISION AND IMAGE PROCESSING BASED DEFECT DETECTING USING RASPBERRY PI

MACHINE VISION AND IMAGE PROCESSING BASED DEFECT DETECTING USING RASPBERRY PI

Prof. Pradeep. S. Togarikar ¹, Vishal T Pardeshi², Vaibhav B Kavade³, Swapnil B Gajare⁴, Harshada S Kawade⁵,

^1,2,3,4,5 SB patil college,indapur E& TC

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Abstract: -

The manufacture of printed circuit boards involves various steps such as structuring, etching, drilling , masking and printing labels. Shorts between traces and pads, open circuits, and various defects can occur during the manufacture of PCB hardware. This white paper resents his unique technique for identifying defects in PCBs using image processing and image processing techniques. The system reduces PCB inspection time and improves accuracy even when the image scale is different with respect to the reference image.
The proposed automated PCB inspection system significantly reduces the time taken to detect defects. Accurate results speed up the inspection process and help improve productivity. Easily identify opens and shorts, as well as detect wire gaps, voids, flaws and defects. This automatic inspection system can be introduced at low cost. Smaller industries can adopt this system to reduce inspection time and minimize errors.

Keywords — Circuit Boards, Fault Detection, Vision, Raspberry Pi, Machine Vision, Sensors, Cameras, etc.