Oz Forensics specializes in liveness and face matching: we develop products that help you to identify your clients remotely and avoid any kind of spoofing or deepfake attack. Oz software helps you to add facial recognition to your software systems and products. You can integrate Oz modules in many ways depending on your needs.
Oz Liveness is responsible for recognizing a living person on a video it receives. Oz Liveness can distinguish a real human from their photo, video, mask, or other kinds of spoofing and deepfake attacks. The algorithm is certified in ISO-30137-3 standard by NIST accreditation iBeta biometric test laboratory with 100% accuracy.
Oz Face Matching (Biometry) aims to identify the person, verifying that the person who performs the check and the papers' owner are the same person. Oz Biometry looks through the video, finds the best shot where the person is clearly seen, and compares it with the photo from ID or another document. The algorithm's accuracy is 99.99% confirmed by NIST FRVT.
The Oz software combines accuracy in analysis with ease of integration and use. To further simplify the integration process, we have provided a detailed description of all the key concepts of our system in this section. If you're ready to get started, please refer to our integration guides, which provide the step-by-step instructions on how to achieve your facial recognition goals quickly and easily.