The main objective of this project is to let students apply the image processing techniques that been taught in class in a given conditions based on their title. This particular project involved the ...
This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...
Tech Xplore on MSN
AI-driven smart jig can detect micro-level defects in just 2.79 seconds
A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that reduces inspection time from 12 minutes to just under 3 seconds. This cutting ...
Board manufacturers are boosting their investment in inspection, test and analytics to meet the increasingly stringent demands for reliability in safety-critical sectors like automotive. This ...
Manufacturers of advanced PCB assemblies know that simultaneously producing cost-competitive products and meeting the quality expectations of customers are vital to their success. Driven by advancing ...
It has taken almost a decade for automated optical inspection (AOI) systems to establish their place on PCB production lines. In the same period, the number of AOI vendors and the variety of AOI ...
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