Jidoka’s KOMPASS two-camera system enabled lift-hook weld inspection with 95%+ defect recall, 99%+ frame selection and a ≤5% false call rate.

Using Jidoka’s AI-powered Kompass vision inspection system, Hindustan Pencils automated wooden slat quality control reducing manual inspection escapes, eliminating operator variability and enabling high-speed inspection at 125 parts per minute.

In a PoC with a European wood processor, Jidoka’s AI-powered inspection achieved 99.8% accuracy at 1,200 parts/min, detecting cracks, knots, burns, and grain flaws — marking a breakthrough in wood and furniture component quality control.

Using Jidoka's AI-powered Kompass platform, a leading wooden pallet manufacturer automated inline inspection with a hybrid 2D vision and 3D laser system, achieving complete pallet coverage, reliable defect detection, and high-speed quality assurance.

Using Jidoka’s AI-driven Eagle-Eye vision inspection system, Avon Seals automated quality checks for carbon and ceramic seals across 28+ variants — boosting defect detection by 40% and enabling 120 PPM dual-face inspection with full traceability.

Using Jidoka’s AI-Powered smart vision inspection infrastructure, NSK Bearings automated 360° bearing inspection—reducing false positives, improving accuracy, and enabling high-speed inspection across 18 SKUs within a single compact station.

Using Jidoka’s AiI Visual Inspection Systems, Shriji automated defect detection for bottle caps on its wad assembly line—achieving real-time inspection speeds of 800+ parts per minute, reducing scrap , rework costs by over $10,000 annually.

Using Kompass, Marico automated printed bottle inspection—eliminating market escapes, cutting costs, and achieving reliable inspection at 120 bottles per minute with 99.7% real-time accuracy.‍

Nagare's journey from concept to real-world impact has been shaped by industry leaders like P&G and Maruti Suzuki. By implementing

Using Jidoka’s AI-powered Nagare platform, Abbott is automating real-time kitting process monitoring across 18 stations, ensuring SOP compliance, preventing errors and supporting up to 12 product variants per station.

A U.S. mobility technology manufacturer used Jidoka’s KOMPASS three-camera system for turbocharger inspection, achieving 99%+ defect recall, 1 mm defect detection and part-level traceability.

Jidoka implemented AI-powered vision inspection for Appasamy, automating ophthalmic lens package inspection across variants. The system detects lens, label, code, particle, packaging, and component defects with automated OK/NG sorting.