AI-Powered Surface Defect Detection for Laptop Production

Cracks, scratches, missing parts, and hinge damage can be easy to miss when laptop inspections depend entirely on manual review. The process also leaves room for differences in how individual technicians identify defects and assess their severity.

CapeStart developed a computer vision-based inspection system that automatically detects visible surface defects and classifies each issue as critical, significant, or minor. By applying predefined assessment criteria across every device, the solution reduced inspection time by 70-80% while improving consistency across technicians.

Explore the case study to see how computer vision made laptop quality inspection faster, more standardized, and less dependent on subjective judgment.