Lighthouse is more than just a camera. The interactive assistant tells you everythingyou want to know about your life at home. This smart home product uses AI and computer vision and sends you alerts for anything from a seeing a human (not just movement by a pet but actually knows the difference between a human and your dog). It can memorize your routines and use facial recognition to let you know that your kids came home and walked your dog at 4pm. Or did not. The founders used self driving car technology which you can learn at Udacity's Self Driving Car Engineering Online Class(sign up HEREfor $1,000 OFF)
Facial Recognition Algorithm
You can use this Facial Recognition Algorithm API from Algorithmia and hire an engineer such as the ones you can find at Udacity Biltz (sign up HERE for $1,000 OFF) and whip up a facial recognition add-on to you smart home product. Furthermore, you can borrow Amazon's Alexa intelligence by using Amazon's artificial intelligence develpor API for natural language understanding, speech recognition, text to speech, to offer the same sort of smart connection to anything you can put on the network from home appliances to internet connected services with verbal commands.
If you're planning to create a smart home assistant, you're going to need speech recognition and deep learning. Not to worry, Amazon already built that and open sourced it. Get Amazon's Artificial Intelligence here.
In this course, Introduction To Computer Vision you can pick up the gyst of what it takes to outsource the right engineers and create a crowdfunded product launch to fund the build of your future (sign up HERE for $1,000 OFF)
Udacity Blitz Team
The Udacity Blitz Team(sign up HERE for 10% OFF) is for hire. They can be hired to build any project you dream up and I'll teach you how to fund it so it doesn't cost you anything...you can hire on a per project basis or you can permanently hire your own Silicon Valley engineer right from Blitz. They can do any project you desire. You can plan the project with them, get the specs, build a prototype and launch a crowdfunding campaign to validate the market and complete the build or prove that the market isn't interested, all with minimal risk before moving too far in the wrong direction.