Deep learning application
The resulting cough recognition camera can track and record information about the person who coughed, their location, and the number of coughs on a real-time basis. Professor Yong-Hwa Park from the Department of Mechanical Engineering developed a deep learning-based cough recognition model to classify a coughing sound in real-time. The coughing event classification model is combined with a sound camera that visualizes their locations in public places. The research team said they achieved a best test accuracy of 87.4%.
On August 17th, an article about the "Coughing Recognition Camera" co-developed by SM Instruments with the Korea Advanced Institute of Science and Technology (KAIST) was reported through the Hankyoreh News.
At a time when the Corona 19 virus is spreading, the use of a "cough-recognition camera" in public places and many dense facilities will greatly help prevent and detect the virus early.
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