SolVisionCase Study
Defect Inspection of Metal Casings Using AI
Case
Hardware Casing Quality Control
To ensure consistent quality, consumer electronic devices like PCs require the inspection of their hardware casings before assembly.
Challenge
Difficulties Inspecting Reflective Surfaces
Detecting subtle defects, such as scratches on metal surfaces, becomes challenging under normal lighting conditions, as they are barely visible to the human eye. This makes manual inspection tasks difficult to perform.
Solution
Efficient Inspection and Classification with SolVision
With SolVision‘s segmentation tool, the AI vision system can be trained to identify various defects based on their distinctive features. It then builds a database categorizing defects into customizable groups, such as ‘Obvious Defects’, ‘Minor Defects’, and ‘Micro Defects’. Through AI deep learning, the system recognizes defects, enhancing inspection accuracy and speed by disregarding smaller, acceptable defects. This ensures that unsatisfactory products are prevented from entering the assembly process.
Classification
Obvious Defects
Minor Defects
Micro Defects
