Jidoka Technologies has introduced a self-training software for AI-based object detection, aimed at improving visual quality inspection in manufacturing. Known for their expertise in automated cognitive inspection, Jidoka Technologies addresses the challenge of subjective quality decisions in manufacturing.

Traditional rule-based approaches often result in false positives due to fluctuating criteria influenced by factors like environmental conditions and material changes.

To meet customer demands for adaptability, Jidoka Technologies has developed self-training software that empowers users to independently train and deploy AI models. This innovation enables manufacturers to achieve higher accuracy, efficiency, and adaptability in their inspection processes, reducing dependency on Jidoka Technologies.

Sekar Udayamurthy, CEO and Co-founder of Jidoka Technologies, "This technology is a game changer enabling the manufacturers to achieve quality inspection independence and ensure their own teams perform quality control of their ever-changing production lines quickly and effortlessly."

This state-of-the-art software leverages the power of advanced AI technologies with continuous learning from different datasets and adapting to variations to enhance the accuracy and efficiency of visual inspections to unprecedented levels either to automated means or "human in the loop".  The power to train AI models by the end user allows manufacturers to upskill their teams, manage the defects and work on timely upgrades based on their process and criteria changes. 

Furthermore, this software significantly reduces the implementation time needed to take AI deployments live in production environments.  The user interface guides users with no machine vision expertise, step by step in the training of new defects and new products to AI, making the process extremely intuitive