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.
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
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.
After installing, it’s 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.
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.
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.
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.
Thank you for checking out the FER-IT-Workplace-Emotion-Monitor! Your interest helps advance workplace productivity with innovative technology.