Currently, the appearance inspection of instant noodle cakes is crucial in high-speed automated production lines, yet it faces numerous challenges.
Production lines operate at extremely high speeds, requiring the detection of defects as small as 0.5mm, such as oil residue, dark spots, and burnt residue, which may occur on both sides. The inspection typically covers visual defects (e.g., black spots, uneven coloring, deformation), foreign material contamination, dimensional consistency, and packaging integrity.
However, traditional manual inspection often misses subtle flaws, while conventional algorithms struggle to balance speed and accuracy due to color variations, motion blur, and environmental interference. This leads to quality risks and customer complaints. As a result, an increasing number of companies are adopting AI-powered visual inspection technology to achieve more efficient and precise fully automated quality control.
