System improves automated monitoring of security cameras

Police and security teams need to know immediately when someone enters a prohibited area. A network of surveillance cameras is typically used, but these can generate too many images for human eyes to analyze. Now, a system being developed by Christopher Amato, a postdoc at MIT's CSAIL, can perform this analysis more accurately and faster than a human camera operator.