Face Recognition basic
4000 5000
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- Availibility: In Stock
- Product Name: Basic Face Recognition System
- Version: 1.0
- Platform: Python 3.x
- Hardware Requirements:
- Camera Module (for capturing facial images)
- Raspberry Pi, PC, or similar computing device
- Software Requirements:
- Python 3.x
- OpenCV library for image processing
- Dlib library for facial recognition
- Numpy library
- SQLite (for lightweight database, optional)
- Functional Requirements:
- Real-time face detection and recognition
- User-friendly interface for viewing recognized faces
- Ability to register and store new faces
- Non-functional Requirements:
- High accuracy in face recognition
- Low latency in processing
- Robustness and reliability in various lighting conditions
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https://innovativescienceprojects.com/product/face-recognition-basic
Description
Key Features:
-
Real-time Face Detection and Recognition:
- The system captures video frames and detects faces in real-time using a camera module.
- Detected faces are compared against a stored database of facial encodings to identify individuals.
-
User Registration:
- New users can be registered by capturing their facial images and storing their facial encodings in the database.
- User information (e.g., name, ID) can also be recorded.
-
Face Recognition:
- The system matches detected faces with stored encodings to identify known individuals.
- Recognition results can be displayed in real-time.
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