ReddRadar
What is Mobai?
Mobai provides a sophisticated facial recognition system designed to operate seamlessly on any device equipped with a camera. Developed as a spin-off from the Norwegian University of Science and Technology (NTNU), the platform leverages expertise in biometric systems and state-of-the-art attack detection. It addresses the significant global security threat posed by cybercrime, particularly issues arising from weak passwords which account for a large percentage of successful cyber attacks. Mobai aims to enhance security through robust biometric authentication while overcoming the limitations of existing solutions.
The system utilizes a multimodal biometric approach, combining face, iris, and ocular recognition to ensure strong security and privacy protection. It is engineered to detect manipulated facial features, such as morphed images and presentation attacks (imposter attacks), through advanced liveness detection. Mobai focuses on secure data transfer and compliance with privacy regulations, ensuring biometric information is not stored directly on servers. The technology can be integrated into existing systems or function as a standalone application, offering flexibility for various security needs.
Features
- Platform and Device Independence: Works on any device equipped with a camera.
- Multimodal Biometric Authentication: Utilizes a combination of face, iris, and ocular recognition.
- Presentation Attack Detection: Identifies imposter attacks and verifies liveness.
- Face Morph Detection: Detects morphed images directly from the image input.
- Secure Data Transfer: Ensures data is transferred securely and complies with privacy regulations.
- Continuous Authentication: Offers ongoing user verification.
- Biometric Transaction and Authentication Protocol: Uses a cryptographic seal verified by biometric attributes.
Use Cases
- Enhancing login security beyond traditional passwords.
- Preventing identity theft through robust biometric verification.
- Detecting and mitigating presentation attacks (e.g., using photos or masks).
- Identifying face morphing attempts in identity documents or onboarding processes.
- Securing online transactions with biometric authentication.
- Providing continuous authentication for sensitive applications.
- Integrating secure, device-agnostic biometric authentication into existing platforms.
