Hmcomm's AI "FAST-D"
Proposal for disease detection solution to pig farmer's site

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It uses AI to detect colds and other illnesses from the squeals and sneezes of pigs at a pig farmer's site.

We will use deep learning to create a machine learning model that learns to cough and sneeze in pigs. By detecting coughs and sneezes, AI will be able to detect the prevalence of colds among pigs in advance, which will help in providing stable livestock products.
<Reference> https://fast-d.hmcom.co.jp/
Anomaly Sounds detection with artificial intelligence is based on the concept that "everything that can be heard by human ears can be detected", and the technology can be applied to all industries and matters other than pig farming. For example, it can be used in the maintenance of social infrastructure such as bridges, tunnels, and paved roads, as well as in the detection of signs of machinery failure.

Contact Department: Sales Management Department
CONTACT: E-mail: Sales_Management@hmcom.co.jp
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