Meta-optix
Meface - smaller, safer, and more accurate biometric recognition
MeFace is a chip-scale 3D Face ID module powered by nano-engineered metasurface optics, addressing size, cost, and integration challenges in current biometric systems. Measuring under 400 µm, it is over 100× smaller than existing solutions while delivering 35 µm facial mapping accuracy. With low-power, AI-driven real-time recognition and offline, privacy-first operation, MeFace ensures secure, contactless authentication without data transmission. Designed for mass production and OEM integration, it is ideal for smartphones, AR glasses, and IoT devices.
Team member(s)
Mr Luo Zhendong* (PhD, Department of Electrical Engineering, City University of Hong Kong)
Mr Cheng Jialuo (PhD, Department of Electrical Engineering, City University of Hong Kong)
Mr Zhou Yin (PhD, Department of Electrical Engineering, City University of Hong Kong)
Mr Xiong Yubin (PhD, Department of Electrical Engineering, City University of Hong Kong)
Ms Lai Kit-ying (Alumna, Department of Accountancy, City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Mr Cheng Jialuo (PhD, Department of Electrical Engineering, City University of Hong Kong)
Mr Zhou Yin (PhD, Department of Electrical Engineering, City University of Hong Kong)
Mr Xiong Yubin (PhD, Department of Electrical Engineering, City University of Hong Kong)
Ms Lai Kit-ying (Alumna, Department of Accountancy, City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2025)