Manufacturing

Automating precise grinding with SolMotion’s 3D matching tech. Enhance quality, reduce waste, and boost productivity in metal component manufacturing.

Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations.

For repetitive manual tasks such as in this case, an automated visual inspection can help identify defective products and improve workforce efficiency.

Using OCR with AI deep learning, SolVision reads and detects various text and number defects on printed labels, enhancing electronics product label inspection.

Inspecting Safety Certification Marks. Solomon SolVision’s AI automated detection of defective certification marks.

Inspect small spiral-surfaced metals with SolVision AI for precise defect detection, identifying cut marks, collision faults, and subtle surface flaws.

AI model can accurately identify errors in cable connections and eliminate substandard products in real time.

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.

SolVision’s superior recognition capabilities ensures that OCR of bicycles can be accurately carried out regardless of how the identification numbers look or light refraction levels.