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Digitized monitoring of multi-component packing activities where defined sequence of operations in kit packaging carried manually Digital work instructions with step and sequence verification Real time monitoring and rectification with alerts

Manual defect detection for ~150,000 bottles per day at 120bpm leading to high false positives Jidoka leveraged Kompass software with Deep Learning AI for quality inspection of printing on 360 degrees of the bottles Infrastructure with 2 cameras to t

Presence of 1 or 2 sachets was confirmed through sensors and traditional machine vision for single packet noodle packets However, there were challenges in detecting if 4 packets of taste maker sachets are present before final packaging .

By deploying Jidoka’s Kompass and Tigris systems, Britannia automated its high-speed biscuit inspection process (12,000+ biscuits per minute) and radically improved defect detection accuracy—reducing false positives and boosting overall efficiency.

By deploying Jidoka’s AI-powered visual inspection systems, Maruti automated and scaled its engine bore inspection process, achieving 100% inspection coverage, over 99.5% defect detection accuracy and a 60% reduction in defect rates.

By deploying Jidoka’s AI-driven inspection systems, Diageo streamlined its label verification(LBI/Fill level) process at 300 bottles per minute, ensuring accurate text, proper orientation, and accurate label - while minimizing manual oversight.

IP Rings, a leading manufacturer of automotive components, partnered with Jidoka Technologies to automate the counting and packaging of piston rings