AI Facial Recognition Lock

Peter Ma

Peter Ma

San Francisco

8 0
  • 0 Collaborators

Using AI to train face recognition through Up2 board, Intel Movidius NCS, RealSense and Walabot radar to add extra security. ...learn more

Project status: Under Development

RealSense™, Internet of Things, Artificial Intelligence

Groups
Movidius™ Neural Compute Group

Intel Technologies
AI DevCloud / Xeon, Intel Opt ML/DL Framework, Movidius NCS

Code Samples [1]Links [1]

Overview / Usage

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.

But 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.

Methodology / Approach

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. This project can be extended to using facial recognition to unlock deadbolts, record entries, turn on different light themes, and many others.

We've trained the entire network on caffe, reaching more than 99% accuracy with "me or not me" method. Additional radar (Walabot) will be added to the project to make sure that simple images can not pass the test.

Technologies Used

Caffe
Intel DevCloud
Intel Movidius NCS
RealSense
Walabot Radar

Repository

https://github.com/Nyceane/ai-face-lock

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