The Corsight Face Recognition API is a powerful and flexible software that enables the integration of face recognition capabilities into various applications. It supports real-time recognition of faces in live video streams, as well as searching through a database of face images. This API utilizes advanced algorithms tailored to different use cases to deliver high accuracy in facial recognition tasks.
- Real-time Video Recognition: Process live video feeds to detect and recognize faces in real time.
- Database Searching: Match faces against a pre-existing database of face images to find possible matches.
- Image Processing: Recognize faces from static images with support for various image formats.
- Custom Algorithms: A suite of algorithms optimized for specific scenarios and use cases.
The API is accessed through a series of Python scripts that interact with the backend face recognition engine.
run_videos_and_get_images.py: Captures images from video streams.api_corsight.py: Interface for interacting with the Corsight API.watchlist.py: Manage watchlists to monitor specific individuals.authenticate.py: Handles API authentication procedures.search_vs_red.py: Implements the search functionality against a database of red-listed individuals.app.py: The main application script that brings all components together.
To begin using the Corsight Face Recognition API, ensure you have the necessary dependencies installed by running:
pip install -r requirements.txt