Seminar and classroom Feedback using live video

Live Feedback System

The quality of content in seminars can be known only by the audience. Sometimes it becomes difficult to get feedback from thousands of people and corrobrate it in a short duration. Our feedback system analyzes people's behaviour, calculates their presence and interest about the speech, and helps to overcome some of these challenges.

Multilevel iterative image processing and computer vision algorithms provide robust and accurate system. Our deep learning models helps accurately identify and classify objects.

Features

Detection of the multiple faces
There are always chances of getting fake faces and duplicate faces while detecting multiple faces in image or video. Our system can detect multiple faces uniquely and accurately.
At times in the seminar many unknown people get entered. Our system solves this problem by recognizing all people, identify them and keep record of their presence and movements.
We are able to detect faces with variation in lights..
Tracking of the people
Tracking of the people becomes challenging if people keep moving during seminars or conferences. it is essential to track them and keep count of actual people and also find suspicious activity in the hall if any.
A summary based on the people’s presence and gesture expression while attending seminar or classroom
It uses the algorithm and CNN model to find sleepiness, seriousness, and attentiveness

Uses

  • Security System
  • Auto feedback of audience - : Used for automatic feedback, attendance and measure overall response of audience.
  • Suspicious Activity - : The features available in our system track people's movement which helps to find the presense and suspicious activity if any.
  • Performance of speaker and teacher - : By the analysis of the audience or student based on their facial features, our system helps to rate the speaker or teacher.