Project Description

Dirty Dozen created an app that recognizes a person’s mood, using surveillance cameras, and based on detected emotion, it starts a certain action (like playing a video, or a song).

The application recognizes a person using surveillance cameras. They capture images when they detect movements and send them to certain servers. Servers receive images and they are passed through some complex algorithms that extract faces from images, recognize people and then recognize the states they have.

Once recognized, the application initiates a specific action that has been previously set by the users or is given various suggestions depending on their moods.


  • Server-side: Amazon web services
  • Front-end: HTML 5, CSS 3, Jquery
  • Back-end: Java, Objective-C, PHP
  • Rest API

Project beneficiaries

  • Companies, especially HR departments
  • Old and single people