20face launches glimpse facial recognition technology.

A technology designed and developed for unconditional facial recognition: It is extremely robust to light conditions, pose variations, image resolution and all it needs is a small part of the face.

Based on the input of just one single picture, glimpse facial recognition  technology is very “light-weight”: well-suited for embedded and mobile platforms and real-time applications.

Our innovative approach is based on regional facial recognition combined in a unique way with deep learning and we are patenting the ultimate process flow that leads to this breakthrough in accuracy and speed.







Glimpse recognition technology is now available for custom built solutions.

We have a system of algorithms that is patent pending and allows for optimised recognition in uncontrolled environments. We can handle over 60 degrees pose variations, recognise resolutions from 30x30 pixels, works with extreme lighting conditions and we can recognise people by only a partial image of the face. We are now applying our technology in custom built solutions.


Our software product is designed to allow for easy integration in a variety of applications. We offer it for a very affordable licence fee and a shared revenue model. Our main focus is upscaling our technology through the use of an existing platform technology.


If you have any questions or need any advice on our technology please contact us


An accurate and fast facial recognition software technology is indeed one of the most promising enabler technology of the future, from smart-homes and automobiles to safe and secure societies, face recognition is playing and will continue to play its crucial role. At 20Face we are keenly interested in deploying our 20Face facial recognition technology to build innovative solutions and solve real-world problems

20Face is providing services to ZiuZ forensics to help them increase the intelligence of their video analysis software. The aim of the project is to enable a portable crowed surveillance solution for law enforcement agencies using intelligent video analysis including facial recognition technology

At the Heracles football stadium, 20Face is carrying out a pilot for access-control and hospitality system using facial recognition technology. The goal of the project is to build facial recognition based ticketing, access-control and hospitality services at the VIP seating areas of the stadium.

Robust and accurate facial landmarking (such as eyes, eye brows, nose tip, cheek and chin line, etc.) is one of the key part of the 20Face facial recognition technology. This part of our software is customized and commercialized for face analysis in combination with a database that can score faces

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20face launches glimpse facial recognition Facial recognition can become a commodity in every day to day household



We'll be attending CES 2018 from january 9 - 12. Find us at Holland Pavillion op Eureka Park.


Our innovation will give facial recognition technology the chance to go mainstream. A chance for this technology to become a commodity in every household on a day to day basis. Because our technology is extremely scalable we could make our product work for millions of people in different applications. Our aim is to develop the first worldwide facial identification as a cloud service. Whether you want to access a website, or you need to see who enters your home, or to help you pay and enter the parking garage. A glimpse is all we need to help you out!

And we make it completely safe. Your facial data and your logging statistics will be encrypted and it will be at your disposal. You do not want us to log? We won’t. We are going mainstream and claim a role as the gatekeeper of privacy instead of facilitating the intrusion of it.

Because our technology is extremely scalable we could make our product work for millions of people in different applications.

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 We're looking for a Computer vision (research) engineer, interested?


Our team consists of experienced researchers in the field of facial recognition and enthusiastic software engineers who are keenly interested in translating state-of-the-art face recognition research results into practical solutions to solve real-world problems in the best possible ways.

Peter Hoekstra


Tauseef Ali


Hans d'Hollossy


Raymond Veldhuis

Technology Advisor

Luuk Spreeuwers

Technology Advisor

Alain Le Loux

Business Advisor

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Phone: +31 6 51 36 73 99

FAX: +31 53 489 4571


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