This MIT system is capable of calculating just how to best scan footage from security cameras, whether it ought to rely on skin detection algorithms first to ID a person, or to kick off with background detection to spot unusual objects. In short, it is a dynamic, thinking system that will make a call (and hopefully the right one) when the time comes, running tests first to learn just how fast each method takes in a a particular surveillance scenario.
According to Christopher Amato, a computer science postdoctoral researcher at MIT’s Computer Science and Artificial Intelligence Laboratory, “Sometimes it’s important to come up with an alarm immediately, even if you are not yet positive exactly what it is happening. If something bad is going on, you want to know about it as soon as possible. You can’t have a person staring at every single screen, and even if you did the person might not know exactly what to look for. For example, a person is not going to be very good at searching through pages and pages of faces to try to match [an intruder] with a known criminal or terrorist.”