
META-aivi transforms cable inspection with AI, ensuring precision in recognition, classification, and defect detection for efficient electronics manufacturing.
META-aivi transforms cable inspection with AI, ensuring precision in recognition, classification, and defect detection for efficient electronics manufacturing.
Solomon's AccuPick 3D and SolScan technology enable accurate component orientation identification, facilitating precise positioning, while AccuPick's ROS Motion Planning ensures collision-free picking.
Using AR glasses and our easy-to-operate wearable AI, operators are able to accurately identify PCB components and verify that they have been placed correctly.
SolMotion offers precise and continuous laser marking with AI-based 3D scanning technology, enabling real-time part positioning for robots to identify and mark objects accurately.
Powered by deep learning, SolVision recognizes soldering defects in overlapped solder balls through labeling of sample images
SolVision first defines assembly characteristics of each component on the PCBA, then trains the AI model to recognize them via image processing to inspect for defective components.
SolVision can locate and recognize the smallest defects and production anomalies on aluminum PCBAs through image processing.
Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations
Streamlined LED visual inspection with AI SolVision features an Instance Segmentation tool designed to identify various mini LED defects through image processing.
Inspecting Safety Certification Marks. Solomon SolVision's AI automated detection of defective certification marks .
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