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E-Eye

This project focuses on attendance and security of your priority Place using Face detection technique built using Transfer Learning On Inception Net

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

  1. Go to website_link.

  2. Sign Up/Login To your account.

  3. Choose the servise you want to take.

  4. Checkout Documnetation section if you dont know how to use it.

  5. You can do following actions to faces

  • Add
  • Delete
  • Update
  1. After any changes click train to train model on the images.

  2. Model is now Ready to serve.

Factors Considered

  • Background Distraction
  • Multiple Inputs
  • Lightning Conditions
  • Distance from camera
  • Diffrent expressions

Versioning

We use SemVer for versioning.

Contributing

Please feel free to contribute. We would love to see pull requests from you guys.

Authors

  • Utkarsh Mishra
  • Jayati Gumber
  • Manav Bansal
  • Prabhav Bansal
  • Ramit Goel

About

This project offers web services on Computer Vision

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