Amazon product manager Ben Hamm wanted to stop his “sweet, murderous cat” Metric from bringing home dead and half-dead prey in the middle of the night and waking him up. he then decided to use some Machine learning stuff to develop a locking system that would help to counter this problem.
On this subject at Ignite Seattle Hamm gave an entertaining presentation In short, in order to stop Metric from following his instincts, Hamm hooked up the cat flap in his door to an AI-enabled camera (DeepLens) and an Arduino-powered locking system.
For those unfamiliar, a cat flap is a small flap cut out in your door which lets your cat in and out of your house, without you needing to open the door for them every time.
The camera was loaded with machine vision algorithms trained by Hamm himself. They identified whether Metric was coming or going and whether he had prey in his mouth. If the answer was “yes,” the cat flap would lock for 15 minutes and Hamm would get a text. (In a nice flourish, the system also sends a donation, or “blood money” as Hamm calls it, to the National Audubon Society, which protects the bird’s cats love to kill.)
Ben Hamm, who is a senior product manager in the Technical Division of Amazon clearly demonstrated that a little bit of intelligence can go a long way and practically showed how A.I can be effectively used to bring ease in our lives.