Face Recognition and Heart Rate Measurement Project

Description

This project combines Smart Face Recognition and Heart Rate Measurement to provide a simple yet impactful solution. Users can register by entering their name, age, and uploading a picture. The system then uses face recognition to identify the user and measures their heart rate through the camera. The project showcases the power of innovation in a compact package, offering enhanced security and wellness monitoring.

Installation

1. Clone the repository:

   git clone https://github.com/devbluecomet/Face-Recognition.git

2. Navigate to the project directory:

   cd Face-Recognition

3. Install dependencies:

   pip install -r requirements.txt

4. Download the Dlib shape predictor model:

   • Download shape_predictor_68_face_landmarks.dat
   • Extract the file and place it in the project directory.

Usage

1. Run the Flask application:

   python app.py

2. Open a web browser and go to http://localhost:5000/ to access the application.

3. Register by entering your name, age, and uploading a picture.

4. Click on "Check Heart Rate" to initiate face recognition and heart rate measurement.

Acknowledgments

• This project utilizes the Dlib library for face detection and shape prediction.
• The heart rate measurement is a simulated demo and requires integration with a suitable heart rate measurement library.