A technology that can detect abnormal sounds and quickly identify anomalies in targeted devices, livestock, buildings, and structures!
"FAST-D" is a technology that extracts various sound features and analyzes them using machine learning techniques, serving as an abnormal sound detection solution that addresses the analysis of non-verbal sounds in general. By enabling semi-automatic generation of learning models, it achieves the creation of learning models in a short time frame. If you wish to perform complex processes such as machine stoppage or alarm triggering, it is also possible to integrate abnormal detection functions into your business applications through API collaboration. 【Features】 ■ Capable of creating, retraining, and managing learning models for "AI abnormal sound detection" ■ Can be performed automatically ■ It is not always necessary to conduct a proof-of-concept experiment ■ Utilizes machine learning algorithms based on our expertise ■ Allows for the implementation of abnormal sound detection in the field in a shorter period *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Usage Scenarios (What kinds of abnormal sounds can be detected?)】 ■ Equipment monitoring ■ Livestock health management ■ Acoustic event detection ■ Product shipment final inspection ■ Non-destructive testing of social infrastructure ■ Medical examination and health observation *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Company information
As a venture company originating from the National Institute of Advanced Industrial Science and Technology (hereinafter referred to as AIST), we conduct research and development of core technologies using AIST's unique voice processing technology, as well as provide solutions and services. Our main technologies include deep learning voice recognition technology, natural language processing, and anomaly detection technology.
