Fresh from the R&D Lab the new algorithm allows for a wider variety of inspection targets – with less time needed for configuration and higher accuracy.
August 19th, 2021 – Kyoto, Japan – HACARUS, the leading provider of big insights from small data, today announced the availability of the new Patch Sample Inspection algorithm in its award-winning visual inspection tool SPECTRO. With this update, SPECTRO now enables customers to conduct defect and anomaly detection with higher accuracy and with less time required for the configuration.
“SPECTRO is especially good at detecting defects that conventional inspection systems cannot, even without big data. I am thrilled that the addition of the new algorithm and its extended capability will now allow us to serve even more customers with various inspection needs.” said Kenshin Fujiwara, CEO at HACARUS.
Based on HACARUS’ proprietary AI technology, SPECTRO detects defects at speed with high accuracy, even when trained with small amounts of data. Where traditional AVI / AOI systems are prone to false positives, SPECTRO provides superior results by vastly reducing the amount of reclassification needed by human inspectors. SPECTRO is used across several industries, including automotive, electronics, precision part manufacturing and construction – recent use cases include factory automation projects with Osaka Gas and Mitsubishi Electric.
HACARUS is now offering a 30-days free trial for those who are interested in testing out SPECTRO and experiencing the power and efficiency of AI-powered visual inspections. To learn more about the update and request a trial, visit https://hacarus.com/202108-spectro/.
As the leading provider of Lightweight and Explainable AI tools, HACARUS will continue to use its expertise and experience to provide accurate and efficient AI driven-insights to manufacturing, infrastructure and medical industries.
HACARUS INC. provides big insights from small data, and has since its founding in 2014 supplied solutions in 100+ AI projects across the Medical and Manufacturing fields. Headquartered in Kyoto, Japan and backed by Osaka Gas and Miyako Capital (Kyoto University) among others, its technology enables humans to make better, faster and more reliable decisions, based on data driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time and energy efficient when compared to Deep Learning. To learn more, visit https://hacarus.com