Using the deflectometry principle, detecting defects under shiny or glossy surfaces, can be made visible.

To achieve this, a pattern or multiple patterns are projected to the surface and compared with a “golden sample.” – Differences in the pattern are detected as surface anomalies.

Using a robot to apply the pattern and gather the images, empowers the principle to be used even to change geometrical shapes, enabling all future product variations.

SpecS is optimized to handle different products on the assembly line, light reflection from different paint colors, cleanliness of the factory environment, and definition of what constitutes a surface defect.

The defects are more visible at the end of the process as other layers are repeatedly added. It is crucial for the detection of defects when they appear in the first layer to reduce costs and energy. If defects are not detected before the vehicle reaches the production’s final step, repairing costs will be high. Customer satisfaction is essential, as well as the company’s image. Using paint as an example, if there are any bubbles after the final coating, repairing procedures such as removing paint defects, polishing surrounding areas, and polishing rough surfaces will be required. The development of an automated and feasible specular surface inspection has the utmost urgency.

An automatic or manual specular surface inspection solution is very challenging due to many aspects including how to handle different car models on the assembly line, light reflection from different paint colours, cleanliness of the factory environment and definition of what constitutes a surface defect.

The defects are more visible at the end of the process as other layers are repeatedly applied on. It is very important the detection of defects when they appear in the primary layer in order to reduce costs and energy.

If defects are not detected before the vehicle reaches the production’s final step, repairing costs will be high. Customer satisfaction is important as well as the company’s image.

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