Image segmentation on void regional formation in the flip-chip underfilling process by comparing YOLO and mask RCNN

What is it about?

This study looks at how well different neural network models can identify and measure voids to its exact shape in ball-grid arrays (BGAs) used in flip-chip technology. By choosing the right model, manufacturers can improve quality checks, making production faster and cheaper.

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