The AI inline finished car visual inspector is a machine for the visual inspection that investigates and photographs the lighting while the product is moving from the conveyor belt. This product enables faster and more accurate inspection compared to visual inspection with pattern optics and self-developed AI deep learning technology. By combining pattern lighting and AI deep learning technology, it can secure high detection power for a wide range of defects such as bad chip/painting condition, dent, scratch, foreign material, bubble, paint clumping/contamination, and dust on the surface of glossy products including automobiles, and significantly lower caustic defects.

The basic concept of the finished vehicle visual inspector proceeds in three stages: vehicle entry, pattern lighting investigation and inspection, and vehicle exit. In the vehicle entry stage, a trigger occurs when the vehicle enters, and when vehicle information is delivered to the system after vehicle recognition, the system prepares an inspection system according to the vehicle type inspection recipe. In the vehicle inspection stage, defects present on the vehicle painting surface are inspected. In the vehicle exit stage, triggers occur when leaving the vehicle, and the server stores and outputs results by number, location, and size of defects.

○ Application 
- Car Tire
- Refrigerator
- Cell Phone Case
- Able to apply to various glossy products

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NAVI AI SW is an easy and comfortable AI vision inspection software.