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.
Recognition of unique persons
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.
No impact of the darkness
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.
Feedback Summary
A summary based on the people’s presence and gesture expression while attending seminar or classroom
Facial Expression detection
It uses the algorithm and CNN model to find sleepiness, seriousness, and attentiveness