Computer Vision is the field of AI focused on extracting information from images and video — recognising objects, classifying scenes, detecting anomalies, reading text (OCR), identifying people. Industrial applications became dominant as high-resolution cameras became cheap and the compute power for real-time inference was democratised.
Typical industrial cases include: visual quality inspection on the production line (identifying defects in textiles, metal parts, footwear), product counting, PPE detection (helmet, gloves, vests), barcode reading or OCR for physical documents. The value lies in consistency — a camera does not tire, does not get distracted, and operates 24/7 with the same criteria.
INFOS implements computer vision in cases where the ROI is clear — typically quality control on production lines where manual inspection consumed hours/day of qualified staff or where the cost of an escaping defect is high. The solution integrates into KORA Productivity — when the camera detects an anomaly, the work order is flagged automatically and the operator is alerted. Models trained specifically for the customer's context outperform generic models by a large margin.