We have successfully completed a world-class facial recognition POC for our hypothetical high-performance data center, utilizing the deep-learning technologies of OpenFace, dlib, and FaceNet.
We built a pipeline that included:
- Face detection: To examine an image and find all the faces it contains
- Face extraction: To focus on each face and understand its general qualities
- Feature extraction: To pull out unique features from the faces using CNNs
- Classifier training: To compare those unique features to all the people already known, and determine the person's name
The added security level of a robust facial recognition system for access control is in keeping with the high standards demanded by this Tier III facility. This project is a great example of the power of deep learning to produce solutions that make a meaningful impact on the business operations of our clients...
