Create a face recognition attendance system using Python and MySQL database in 2023. Please note that the implementation details may vary depending on the specific libraries and technologies available at the time you are working on this project. Here's a general overview:
1. Set up the environment:
- Install Python on your system.
- Install the required libraries such as OpenCV, NumPy, dlib, and face_recognition.
- Install the MySQL connector for Python to interact with the database.
2. Create a MySQL database:
- Install MySQL server on your system and set up a new database.
- Create a table to store the attendance data, such as student ID, timestamp, and other relevant information.
3. Capture and store face data:
- Collect a set of face images for each student/individual.
- Use face detection algorithms (e.g., Haar cascades, HOG, or CNN) to locate and extract faces from the images.
- Generate face embeddings for each face using pre-trained deep learning models (e.g., FaceNet).
- Store the face embeddings along with the associated student ID in the database.
4. Perform face recognition:
- Capture a video stream from a camera or use pre-recorded videos.
- Detect faces in the video stream using the same face detection algorithm used in step 3.
- Generate face embeddings for the detected faces using the same deep learning model.
- Compare the generated embeddings with the stored embeddings in the database.
- Calculate a similarity score (e.g., using Euclidean distance or cosine similarity) between the embeddings.
- If the similarity score is below a predefined threshold, consider the face as a match for a registered student.
5. Record attendance:
- When a match occurs, retrieve the associated student ID from the database.
- Store the student ID and the timestamp of the attendance in the attendance table of the MySQL database.
6. Generate attendance reports:
- Query the attendance data from the MySQL database.
- Analyze and process the data to generate reports as per your requirements (e.g., daily, weekly, or monthly attendance reports).
- Export the reports in a suitable format (e.g., CSV, Excel, or PDF).
Downlod Code by given link:- FaceRecognition-Android
Tags
Python