NewsDeep learning application COVID-19 cough camera: device detects location of coughing sounds in real-time​

18 Aug 2020


Deep learning application

COVID-19 cough camera: device detects location of coughing sounds in real-time

The Center for Noise and Vibration Control at the Korea Advanced Institute of Science and Technology (KAIST) announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.


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%.

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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. 


You can find out more at the link below. 


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