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Students Emotion Detection System

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Ali Jbareen | Salih Kadri

@

Prof. Kobi Gal | Dr. Osama Swidan

Average Number of Students in a Class

Source : Knesset 2020

HELP!

• With Class of more than 20 Students , it's almost impossible task for the Teacher to keep up on the real-time progress of every student.

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• Students who are having problem understanding or solving tasks ,they feel left behind.

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• Facial emotions is an Indicator for the of each student state and can be helpful if we use it :)

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BGU IS READY TO ASSIST!

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• a new approach to teaching system

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• Dashboard for monitoring Students emotion

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• help the teacher better grasp the students situation during learning and solving problems

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• Notify when one student is having a trouble , each student will have a camera sensor that detects their emotion .

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OUR APPLICATION

Teacher’s Dashboard

SYSTEM DESIGN

Learning with AI | face-api

• Futuristic approach for Learning System

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• Faster Development

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• Easy to Upgrade

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Face-API.js utilizes TensorFlow.js and a pre-trained model based on Convolutional Neural Networks (CNNs) to provide face detection, face recognition, and facial landmark detection.

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Problems we faced

• Ethics
• Sensitive info - children’s faces are exposed to the web

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• Bandwidth and Network Capacity
• Multiple videos streaming

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• Scalability
• Huge processing info on server side

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Solutions

• Load AI module on every client -
• No children's faces in the web
• only send the data after being processed

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• Efficient RTC Server -
• No video streaming - only textual data

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• Scalability -
• Handle a whole class of Students

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THANK YOU !