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Vehicle assembly line
Correction of part misalignment and gripping misalignment, and prevention of errors.
Mazda Motor Corporation: Case study of adoption in its vehicle assembly line.
3D vision is used to accurately recognize the position and orientation of the vehicle’s sheet metal parts.
It can also detect differences in product type before picking, enabling the reliable construction of automated robot lines in multi-product production lines.
Target work, line
- Sheet metal parts
- FMS
- FML
Material handling robot for vehicle body FML equipped with YCAM3D
Detailed description
Mazda Motor Corporation’s vehicle body manufacturing line
Mazda Motor Corporation is working to build a global production and supply system that balances “realizing product value” that exceeds customer expectations with “highly efficient and flexible production” that can respond immediately to changes in the market environment ( from Mazda Technical Review No. 37 (2020) ).
In that process (FML to Flexible Module Line), improving the flexibility of material handling robots is essential, and the introduction of robot vision is extremely effective for this purpose.
Advantages of YCAM3D/VT
Previously, they had been using a vision system that positioned holes using stereo cameras, but to better support more flexible, high-mix production, they have adopted “YCAM3D/VT,” the latest 3D point cloud-based robot vision system provided by YOODS.
We expect that “YCAM3D/VT,” which is capable of high-precision position, orientation, and shape recognition, will further contribute to increasing the usability of FML in the future.
Recognition of bodywork parts → picking
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