Automotive
Automotive machine vision tracks parts through handling, assembly and inspection. Workflows span random-bin picking, gear loading and body-panel sealing, tire DOT and engine serial reading, paint and part defect detection, car-door verification and injection-molding monitoring.
Electric Vehicle Assembly Verification Using AR + AI
Discover how META-aivi’s AR + AI capabilities enhanced electric vehicle assembly verification and quality control for one of the world’s leading EV manufacturers.
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Welding Bead Defect Detection Using AR + AI
AI models can be trained and uploaded into the system for qualified welding points. This enables AI inspection of welded sections using AR glasses or a tablet device to quickly recognize defective welds.
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Automotive Assembly Using Vision Guided Robotics + AI
SolMotion AI optimizes automotive assembly by detecting randomly placed auto parts with precision, regardless of orientation, using vision guided robotics.
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Visual Inspection of Automotive Weld Beads
Powered by AI, SolVision deep learning software trains an AI model by simulating potential weld bead defects in random brightness conditions.
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AI Inspection of Stamped Metal Parts
There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
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