Cendiant Gen 2 Musashi AI has introduced a standardized automated optical inspection platform that can be scaled across a range of part sizes. Artificial intelligence and the company’s Active I deep learning software combine with new modular architecture to make the system easy to deploy, maintain and scale. Active I combines complementary neural network approaches within a unified architecture to identify and classify defects with significantly less training data while maintaining high detection accuracy. The Gen 2 platform uses a two-stage inspection process, first identifying regions of a part most likely to contain defects, then performing a detailed analysis on only those areas, reducing computational overhead, accelerating model training and improving consistency. Cendiant Quality Insights software, which gathers data and generates actionable intelligence, also has multiple enhancements for the Gen 2 platform.

What’s new? Cendiant Gen 2, which was shown at Automate 2026 in June.

Benefits Lower cost and faster deployment compared to previous models, which were engineered application by application. The system can detect anomalies as small as 50 microns without magnification while achieving a defect detection rate above 99 percent. Because the models can begin learning from as few as 20 to 30 good parts, manufacturers can launch new applications with significantly less data collection and engineering effort.

Musashi AI, Waterloo, Ont., 248-688-0060, www.musashiai.com