SolVision combines AI-based OCR and defect detection to inspect electronics product labels, identify damaged characters, and digitize printed information for production and inventory management.
A ribbon manufacturer used SolVision to inspect varied colors, patterns, and textures for holes, knots, and broken stitches. AI-based fabric defect detection supported more consistent quality inspection and production traceability.
SolMotion AI optimizes automotive assembly by detecting randomly placed auto parts with precision, regardless of orientation, using vision guided robotics.
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.
META-aivi uses AI-based vision to count, classify, and verify surgical instruments in real time, helping reduce preparation time and support safer instrument checks before and after surgery.
META-aivi combines AI vision with AR glasses to help operators identify missing or incorrectly placed PCB components while recording inspection results for quality analysis.
See how META-aivi combines AR + AI vision to guide PCB assembly, verify SOP steps in real time, and reduce reliance on post-assembly manual inspection.
A national supermarket chain used META-aivi to support planogram compliance through AI-assisted shelf audits, product placement verification, shelf label checks, and stock gap detection.
A sanitary equipment manufacturer automated plastic part transfer with AccuPick, using 3D bin picking to identify changing part positions and guide a UR10 cobot through the picking workflow.
A multinational manufacturer automated CNC machine tending with AccuPick. The robotic bin picking system detects unpolished metal workpieces, generates 3D picking coordinates, and guides the robot for precise bin picking and placement.
Siemens achieved precise, collision-free robotic handling of steel switchgear parts with a 6-second cycle time using Solomon’s AccuPick AI bin picking system.
AccuPick + SolScan enhance bin picking for a European auto parts manufacturer, cutting cycle time to 1.6 seconds and boosting efficiency with rapid AI training.
A sanitary equipment manufacturer automated plastic part transfer with AccuPick, using 3D bin picking to identify changing part positions and guide a UR10 cobot through the picking workflow.
SolVision combines AI-based OCR and defect detection to inspect electronics product labels, identify damaged characters, and digitize printed information for production and inventory management.
META-aivi uses AI-based vision to count, classify, and verify surgical instruments in real time, helping reduce preparation time and support safer instrument checks before and after surgery.
META-aivi combines AI vision with AR glasses to help operators identify missing or incorrectly placed PCB components while recording inspection results for quality analysis.
See how META-aivi combines AR + AI vision to guide PCB assembly, verify SOP steps in real time, and reduce reliance on post-assembly manual inspection.
A ribbon manufacturer used SolVision to inspect varied colors, patterns, and textures for holes, knots, and broken stitches. AI-based fabric defect detection supported more consistent quality inspection and production traceability.
A multinational manufacturer automated CNC machine tending with AccuPick. The robotic bin picking system detects unpolished metal workpieces, generates 3D picking coordinates, and guides the robot for precise bin picking and placement.
