A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection
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Product Description
Aim:
To recognize the real time facial expression using Deep learning technique.
Abstract:
In today’s world, there is a tremendous increase in usage of machinery. The world needs machines to understand humans and interpret accordingly. The main motive of Facial emotion recognition is to provide computers the skill to identify and recognize different emotions in real time. The perception of machines helps them to understand their surroundings, thus facial emotion identification helps in finding this perception. Since emotion contains an abundant amount of information about our state of mind, a system is developed to detect facial emotion using Convolutional neural network and image processing techniques.
Proposed System:
Detailed facial motions will be captured, and appropriate emotion will be detected by using deep learning algorithm such as CNN. The system will determine the best classifiers for recognizing particular emotions, where single and multi-layered networks will be tested. We can able to detect Neutral, Happy, Sad, Surprise, Angry and Disgust face reaction. We give a real time live input with the help of webcam. After detecting the emotion, it show the emotion type in the window.
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Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
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The Delivery time for Hardware Mini projects is 7-8 working days.