A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection

A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection

₹5,500.00
Product Code: Python - Deep Learning
Availability: In Stock
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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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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.