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.
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.
SolVision enables automated returnable glass bottle inspection using AI-based visual inspection to detect and classify contamination during the bottle reuse process.
