Technology
4 September 2020
By Chris Stokel-Walker
BRIAN SNYDER/Reuters
Social distancing is one of the main weapons in the fight against the coronavirus – and computer scientists have used a database of public cameras to keep track of how well we are following the guidelines.
Since April, Isha Ghodgaonkar at Purdue University, Indiana, and her colleagues have gathered around 0.5 terabytes of data per week from 11,140 public cameras connected to the internet.
More than 10.4 million images from the webcams have been run through deep-learning neural networks that automatically detect objects and differentiate them from people. Bounding boxes are drawn around the …
Existing subscribers, please log in with your email address to link your account access.
Paid annually by Credit Card
Inclusive of applicable taxes (VAT)
*Free gift is only available with annual subscription purchases where subscription delivery is in the United Kingdom, USA, Canada, Australia, New Zealand or Euro area
