A good chunk of today's AI research goes into creating neural networks that recognize faces and objects. So perhaps it was just a matter of time before a company like Camio came along. Camio is a security system with a twist: it uses neural networks to learn common visitors, animals, and objects and applies them to recognizing who's at your door.
The surveillance system connects to a tablet, phone, or other handheld device, providing a live stream of where ever the camera is set up. The facial recognition is already part of the system, but a new upgrade adds sophisticated recognition for dogs, cats, delivery packages, trucks, vehicles, and more. From there, users can set up actions, so that, say, a pet who has a tendency to wander off can be recognized, and your phone alerted to let them back in.
Deep learning in the system allows it to monitor for "highlights," something the artificial brain decides is an action the user might be interested in,alerting them to something out of the ordinary occurring on camera. This allows the user to only get relevant information from the surveillance, rather than having to fast forward through hours of footage.
There's lots in store for neural networks in the future, but the Camio system is proof that neural networks are moving beyond search engines and pattern recognition and into the real world. Now you'll never miss the UPS driver again–or miss your packages walking away in the arms of a mail thief.
Source: MIT Technology Review