Visual detection of overcrowding to curb the spread of COVID-19 and other infectious diseases (IMAGE)

Incheon National University

Visual detection of overcrowding to curb the spread of COVID-19 and other infectious diseases

Caption

Scientists from Korea have proposed a deep learning assisted model to detect overcrowding and crowd behavior in COVID-19-affected cities. This model can help slow the spread of infectious diseases by detecting crowd changes in real-time using unmanned aerial vehicles (UAVs) and social monitoring systems (SMS).

Credit

Tedeytan on Flickr https://www.flickr.com/photos/22526649@N03/15917019192

Usage Restrictions

Credit must be given to the creator. Adaptations must be shared under the same terms.

License

CC BY-SA

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.