Learning-based Abnormal Sound Detection System "CAT-CMP"
A line inspection system that can determine defective products by abnormal sounds and vibrations can be constructed at a low cost!
"CAT-CMP" is a learning-based comparator software that makes judgments on vibration/noise data using statistical methods. It automates the inspection of abnormal sounds and vibrations in products, which previously relied on the operator's senses. Since offline post-analysis is possible, you can analyze by changing conditions such as the frequency range and thresholds, allowing you to determine the thresholds. 【Features】 ■ Capable of handling a variety of products by registering judgment conditions ■ Complex judgments are possible by changing measurement conditions ■ If there is a collection of OK data/NG data, reference data can be calculated from that data ■ If the phenomenon is reproducible, having reference data for each NG pattern allows not only for OK/NG judgments but also for the identification of the content of NGs *For more details, please refer to the PDF document or feel free to contact us.
- Company：キャテック
- Price：Other
