opencv-face-recognition
Revolutionize Biometric Authentication with OpenCV Face Recognition: Top-Rated Accuracy & Liveness Detection
Readme
Introducing OpenCV-Face-Recognition, the cutting-edge Python SDK that's transforming biometric authentication in security and technology sectors. Our deep learning-driven library offers an array of powerful features including:
Ideal for applications in attendance checking, access monitoring, building security, criminal identification, and KYC processes, OpenCV-Face-Recognition excels in scenarios demanding high security and precision.
Top-Notch Performance Metrics: Standing out in the industry, our library boasts a 99.99% accuracy rate and a less than 1% false non-match rate, backed by a top 8 ranking in NIST evaluations as of Q1 2022. Our unique single-image liveness detection feature not only enhances user experience but also meets Level 2 compliance as per ISO 30107-3 standards.
Universal Compatibility: As a JSON REST-based API, our SDK seamlessly integrates into any internet-connected device capable of facial image capture, making it universally adaptable.
SaaS Model Licensing: We offer a flexible monthly subscription model, making cutting-edge facial recognition technology accessible and scalable for your organization.
Elevate your security and technology features with OpenCV-Face-Recognition – where innovation meets reliability.
Install the package via:
pip install opencv-face-recognition
Our documentation can be found here
FAQs
Revolutionize Biometric Authentication with OpenCV Face Recognition: Top-Rated Accuracy & Liveness Detection
We found that opencv-face-recognition demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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