Auto parts are complex to manufacture and can have a variety of defects.
Our Deep Learning solutions can help.
Applications
Part Assembly Inspection
In automated manufacturing processes in the automotive industry, companies must ensure that the right parts are always assembled in the right place.
Our Machine vision systems that use deep learning software can help identify the right parts while detecting potential defects, saving the company time and money on costly rework.
Battery Inspection
The use of machine vision systems in the inspection of electric vehicle batteries has increased in recent years due to the growing popularity of electric vehicles.
Through optical magnification, we can also perform inspection in the near vision range through machine learning.
Weldin seam
The use of machine vision systems in the inspection of electric vehicle batteries has increased in recent years due to the growing popularity of electric vehicles.
Through optical magnification, we can also perform inspection in the near vision range through machine learning.
Seat inspection
Visual inspection systems using REBOTNIX VISIONTOOLS with Deep Learning software can ensure proper installation of automotive interior parts and allow the vehicle to move on to the next part of the assembly process.
Painting and surface defects
Surface defect detection, often performed by manual inspectors, helps ensure that vehicles do not leave the manufacturing plant with defects, which is critical to the company’s reputation.
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