Based on Irlinker’s facial recognition platform and algorithms, this solution allows for the comparison of live facial images against various template databases such as ID photo databases. This approach ensures a more scientific and effective user identification, and risk control.
Utilizes a high-precision iris recognition model to safeguard user privacy and ensure secure use.
Compatible with leading eye-tracking technologies, supporting multi-angle recognition and an iris recognition radius range of 50-150 pixels.
Employs multi-modal fusion recognition algorithms to enhance the reliability of iris recognition.
The algorithm is low-power, with a runtime memory requirement of no more than 10MB and an algorithm service size under 50MB. It has minimal reliance on GPU resources, making it suitable for mainstream XR devices.
Iris authentication enhances the security of virtual social interactions and captures eye movement information to increase the sense of realism.
Iris authentication supports secure virtual interactions and captures eye movement data to enhance the authenticity of multimodal experiences.
In multi-user environments, iris authentication enables personalized settings and binds them to real user profiles, improving the overall user experience.