π FER-IT-Workplace-Emotion-Monitor - Enhance Productivity with Emotion Detection

π Getting Started
Welcome to the FER-IT-Workplace-Emotion-Monitor! This application helps you recognize emotions in real-time using facial recognition, aimed specifically at improving productivity in IT workplaces. You can run a live demo using your webcam.
π οΈ System Requirements
Before you start, make sure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux (most modern versions)
- Webcam: A working webcam for the live demo
- Python 3.6 or higher: Necessary to run the backend
- TensorFlow: Required for machine learning models
π₯ Download & Install
To get started, you need to download the application. Follow these steps:
- Visit this page to download: Releases Page.
- Select the latest version from the list. It usually appears at the top of the page.
- Look for the corresponding file for your operating system and click on it to download.
- Once the download completes, locate the downloaded file on your computer.
- Run the file by double-clicking it and follow any instructions that appear on your screen.
π₯ How to Use
After installing, itβs easy to use the application:
- Open the app: Double-click the application icon on your desktop or in your applications folder.
- Set up your webcam: Allow the app to access your webcam. This will enable it to detect facial emotions.
- Start the detection: There will be a button to start the real-time analysis. Click it to begin.
- Observe the feedback: The application will display emotions detected in real-time on the screen. You can see how it changes based on your expressions.
π‘ Features
The FER-IT-Workplace-Emotion-Monitor comes with various useful features:
- Real-time Emotion Detection: Recognizes emotions as you speak or work.
- User-Friendly Interface: Designed for non-technical users, easy to navigate.
- Live Webcam Demo: See the application in action with your own camera.
- Multiple Emotion Recognition: Detects a range of emotions, including happiness, sadness, anger, and more.
- Data Insights: Receive real-time data insights that can help improve workplace dynamics.
To ensure optimal performance while using the application, consider the following tips:
- Good Lighting: Ensure proper lighting in your environment for better recognition.
- Stable Position: Keep your webcam steady and positioned at face level.
- Clear Background: Limit distractions in your background to enhance detection.
π οΈ Troubleshooting
If you encounter issues, here are some common solutions:
- Webcam Not Detected: Ensure that your webcam is connected and functioning. Check your privacy settings to ensure the app has access.
- Application Crashing: Make sure your system meets the minimum requirements and close unnecessary programs before running the app.
- No Emotion Detection: Adjust lighting and background to improve camera visibility.
If you run into any issues or have questions, feel free to seek help:
- GitHub Issues Page: You can report any bugs or feature requests here.
- Discussion Forum: Join our community discussions and learn from other users.
π License
This application is released under the MIT License. Feel free to use and modify it as needed while respecting the terms laid out in the license.
π Acknowledgments
Thank you for checking out the FER-IT-Workplace-Emotion-Monitor! Your interest helps advance workplace productivity with innovative technology.
