Project Description:

In this project (Real-time face recognition on custom images) it is shown that how face is identify in real-time. For attendance system, Authorisation access system, Tracking customer behavior and many more can be made. implementation of FaceNet is published in Arxiv (FaceNet: A Unified Embedding for Face Recognition and Clustering). David Sandberg has nicely implemented it.

Hardware requirement:

Intel processor x86-64/32 processor (64/32 bit), 6 GB hard disk, 2-4 GB RAM.

OS:

Any(Linux, Windows, Mac)

Language Used:

Python

Technology Used:

  • Facenet
  • Deep Learning
  • Web API
  • Computer Vision
  • Library Used:
  • Opencv
  • Tensorflow
  • Numpy
  • Sci-kit Learn
  • Scipy
  • BeautifulSoup

Blog of its application is at:

Real Time Application of Face detection | AI Sangam

Video of its implementation:

Real-time Face Recognition Using FaceNet

 

Video Link Description: