The Technology Alliance
FACE-ALIVE is a start-up formed by an alliance between leading industrial minds and academics in the field of biometry, located in the French Tech district of the Alpes in Grenoble.
The vision of FACE-ALIVE is to develop and maintain technology with the highest level of certification against Anti-Spoofing technology.
ME Group is the international market leader in automated instant-service equipment for official ID document, with more than 43,800 unattended vending units across 20 countries.
In the center of Grenoble, over 100 engineers and designers share their strategic skills to design industry-leading machines. Research and Development is undertaken at ME-Group in Grenoble (France); but also in Shangai (Chine), Hanoï (Vietnam), Tokyo (Japon) and Lisboa (Portugal).
Id3 is a French SME that specialises in the development of identity and security solutions based on biometric recognition technology. Id3 benefits from its own research and development office developing biometric algorithms in the fields of facial recognition and fingerprints.
The company's innovative approach has led to success in global markets, including its smart card-based biometric matching solution (MOC), which has sold over 100 million licenses.
Gipsa-lab is a joint research unit of the CNRS, Grenoble-INP and the University of Grenoble Alpes; and also holds a partnership with Inria and the Observatoire des Sciences de l'Univers de Grenoble.
Gipsa-lab is a multidisciplinary laboratory that develops fundamental and applied research on signals and complex systems. It is internationally recognized for its research. Due to the nature of its research, Gipsa-lab maintains a constant link with the economic environment through a strong industrial partnership..
The FACE-ALIVE technology
Biometric authentication can be abused by imposters for identity theft. Face-Alive technology presented on this kiosk is our key innovation solution to this issue and can be easily integrated into your own solution.
In less than half a second, FACE-ALIVE’s detection system performs a 3D capture of the biometric data to confirm a living user.
This robust system recognises all complex Deepfake videos which attempt to simulate a real person.
This system offers a very low BPCER (i.e. low false rejection), to give a better experience to every single end user, even if not familiar with the digitalisation process.
ICAO-compliant portrait capture is performed, guaranting the subject’s biometric data has not been changed or altered during the detection sequence
Christian Croll, ME Group
Dr Christian Croll is a Physics and Image Processing graduate of the Institute National Polytechnique of Grenoble. For the last 20 years he has been a 3D project manager and image processing expert with ME Group where he developed the colour management system of the KIS digital Minilab. He holds several patents on automatic calibration of film recorders, photo booth lighting and Anti-Spoofing.
He introduced 3D portrait acquisition in photo booths for the next generation of face recognition. For Face-Alive, he recently developed an innovative Antispoofing system based on 3D capture acquisition with simple 2D cameras and received an ISO 30107-3 certification for his work.
Lucas L’Huillier, id3
Graduated from Montpellier Business School in 2014, he had his first professional experience as a key account sales representative for the computer manufacturer, Dell. He then joined the company, id3 Technologies, to develop the commercial activity of electronic services on the global market.
Today, he is responsible for the product development of id3's innovations and for steerheading collaborative projects on artificial intelligence activities associated with biometric identification.
Alice Caplier, GIPSA-lab
After graduating from an engineering school in 1991 and obtaining a PhD degree in 1995, Alice has since been recruited as a professor at Grenoble INP-Phelma whilst conducting research at GIPSA-Lab.
She's been working on facial image analysis and interpretation for more than 20 years. Recently she has worked on analyzing the robustness of Deep Neural Networks. She continues to be involved in several national and regional research projects and industry collaborations, while maintaining her hobby of cycling.