
Solomon's integrated vision system, including AccuPick 3D and SolScan, enables optimal picking point identification even for overlapping objects.
Solomon's integrated vision system, including AccuPick 3D and SolScan, enables optimal picking point identification even for overlapping objects.
SolVision takes images of good push-through-package (PTP) samples, then runs defect simulations to train an AI model capable of automating visual inspections
Defective labels and misprinted information can also be identified to strengthen inventory management and tracking.
Deploy SolVision’s advanced AI model to identify and classify cells where traditional AOI systems are insufficient in detecting and determining cell variations
Through advanced image processing, SolVision can fully automate inspection processes to detect production flaws.
Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations
SolVision detects and analyzes transparent syringe parts of various textures and shapes which are typically too difficult for AOI systems to inspect
SolVision’s deep learning inspection software reduces the number of defects to almost zero during medical mask production
Powered by artificial intelligence, SolVision automates visual inspections for detecting production inconsistencies. By comparing real-time product images to a golden sample.
SolVision’s segmentation tool for classifying printed labels on IV bags - a process which cannot be automated by traditional AOI
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