Intel Devcloud also offers free clusters for you to train. We'd prefer use either AWS or Azure machines that are specifically built for machine learning. So for of this to work you will need a Linux operating system with either GPU or CPU installed. For this project, I've leveraged an open source project located at Specific framework we use is caffe, there are many ways to train the model but we can use some of the open source ones with right parameters. This example we are gona be using Up2 board + Movidius NCS.
Note: There was a problem trying to install Walabot software on Nvidia Jetson as it does not support arm64 based chip. Up2 Board powered Intel x86 (a device that runs Ubuntu).
For more security, you can also use your own server following this guide guide, as all the server code is being open sourced as well. To use the public Alexa skill with your own device, you can change the to "" as that's the server alexa skill is connected to for testing. You can also follow link also alexa with a user in your system guide to setup multiple users through account linking.Īccount Linking won't be needed here. Our Alexa skill is published as Face Lock under skill id for those who are interested in taking a look In this guide we are going to convolution neural network to create facial recognition network and secure it via Walabot to detect distance as well as user breath, then open up the deadbolt via alexa. Additional radar (Walabot) will be added to the project to make sure that simple images can not pass the test. We've trained the entire network on caffe, reaching more than 99% accuracy with "me or not me" method. This project can be extended to using facial recognition to unlock deadbolts, record entries, turn on different light themes, and many others. We've built a platform that shows how the AI works on Intel Movidius NCS, using all the default camera that came with the development kit.
IPhone X Face ID hits people with surprise, people starting to realize through AI Deep learning their face is much more unique and accurate than their fingerprint.īut what some people don't realize is the reason why iPhone X facial recognition works is that it's only detecting you or not you, therefore it is at much higher accuracy than using AI to detect multiple target.