
Vegetable AI visual inspection with SolVision achieved 100% accuracy in artichoke orientation in just 50 milliseconds, elevating efficiency in food production.
Vegetable AI visual inspection with SolVision achieved 100% accuracy in artichoke orientation in just 50 milliseconds, elevating efficiency in food production.
META-aivi enables real-time detection of foreign objects in food production, addressing challenges associated with manual inspection such as worker fatigue and the risk of human error.
AI improves automated inspection performance. With Solvison, the placement of coffee capsules in boxes can be inspected and controlled
Defective labels and misprinted information can also be identified to strengthen inventory management and tracking.
SolVision locates and marks the position of eggshell defects on sample images in order to train an AI automated inspection system
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
Powered by artificial intelligence, SolVision automates visual inspections for detecting production inconsistencies. By comparing real-time product images to a golden sample.
SolVision can be trained to recognize different types of stains and mildew. The software’s tool learns the location, color, and features of defects to identify them automatically in real-time on the cleaning production line
Solomon’s visual inspection solution, SolVision, uses AI to learn various types of food product defects and recognizes them as they pass through fast-moving conveyor systems during food processing
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