Skip to content

compiledbyutkarsh/VisionSense-Engine

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

VisionSense-Engine

A professional-grade real-time face detection and sentiment analysis system.

Project Overview

FaceGuard AI is designed to perform real-time facial analysis, providing high-accuracy emotion recognition and demographic estimation. Built with an extensible architecture for security and attendance tracking applications.

Core Features

  • Intelligent Detection: Real-time face tracking using optimized OpenCV pipelines.
  • Sentiment Engine: Deep learning-based analysis of 7 core human emotions.
  • Demographic Insight: Real-time age and gender classification.
  • Modular Architecture: Clean, maintainable code structure for easy integration.

Folder Structure

  • main.py: Entry point for the application.
  • detector.py: Core face detection and analysis logic.
  • utils.py: Helper functions and logging mechanisms.

Quick Start

  1. Clone the repo: git clone https://github.com/compiledbyutkarsh/VisionSense-Engine.git
  2. Install requirements: pip install -r requirements.txt
  3. Launch: python main.py

About

A professional-grade real-time face detection, sentiment analysis, and attendance tracking system built with DeepFace and OpenCV

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages