AI visual inspection for automotive parts manufacturing
Detecting wounds whose shape and position are not defined by AI.
In the automotive parts industry, it is essential to accurately detect defects such as scratches and dirt on the appearance of products to maintain quality. In particular, scratches that could affect the functionality or safety of parts must be identified without being overlooked. However, traditional visual inspections have faced challenges such as variability due to inspector fatigue and subjectivity, as well as difficulties in collecting data on defective products. AI appearance inspection solutions support the efficiency and accuracy of the appearance inspection process by generating pseudo-defective images, allowing for the rapid development of high-precision AI models from a small amount of defective product data. 【Use Cases】 - Scratch detection on automotive parts - Detection of foreign matter contamination - Detection of surface dirt and discoloration 【Benefits of Implementation】 - Improved inspection accuracy - Reduction in inspection labor - Prevention of defective products from being released
- Company：三明
- Price：Other
