Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D by Huachao Gong

Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D by Huachao Gong is a highly esteemed winner of the very prestigious 2020 A' Design Award d'Argent in Produits de Sécurité Competition Category.

ArgentProduits de Sécurité· 2020

Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D

by Huachao Gong

Client: Sciedi Technology Co., Ltd.

A' Design Award d'Argent Winner in Produits de Sécurité Category

44,635

Verified Award Winner

Verify Award Status for #97815

View at A' Design Award Press Release Award Badge

Colors

The Design

About Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D

Découvrez le système de contrôle d'accès à plusieurs capteurs et caméras, Ezalor. Les algorithmes et l'informatique locale sont conçus pour la confidentialité. La technologie anti-spoofing au niveau financier empêche les faux masques. Un éclairage doux et réfléchissant apporte du confort. En un clin d'œil, les utilisateurs peuvent accéder facilement à l'endroit qu'ils aiment. Son authentification sans contact garantit l'hygiène.

The Recognition

About the A' Design Award d'Argent

Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D est lauréat de l'A' Design Award d'Argent, une reconnaissance énormément prestigieuse décernée à des designs haut de gamme, superbes et impressionnants. Les lauréats Argent sont des œuvres tout à fait brillantes et extrêmement créatives qui illustrent l'expertise, le talent et la perspicacité remarquables de leurs concepteurs. Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D est censé être une œuvre merveilleuse, une vitrine de savoir-faire, remarquablement professionnelle et profondément innovante. Ce design lauréat de l'A' Design Award d'Argent est une invention très notable et admirée, qui sert l'art, la science, le design et la technologie et en repousse les limites. Ezalor Le Contrôle D'accès Par Reconnaissance Faciale 3D est une création très enviée qui éveille les désirs, apporte des sentiments positifs et suscite émerveillement et étonnement.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 1. 3D face recognition terminals embedded with deep-learning algorithms for access control in office scenarios.
2. 3D structured light and IR technology for dual liveness detection to achieve fast face recognition and identity verification.
3. Soft diffusely reflected light to ensure reliable performance and improve user’s experience by avoiding direct strong light.
4. User-friendly design - 4.5-inch color LCD screen with voice prompt, and no-touch authentication for the ultimate in hygiene.
Dimensions & Packaging: 178mm 31mm 178mm
Tags: Face recognition access control, 3D structured light camera, face recognition, face access control, liveness detection, financial security level
Production Technology: To distinguish it from the glare-filling method of direct light sources commonly used in the traditional system, we have adopted a circle of diffuse reflection surfaces to achieve well-distributed and soft fill-in light. After repeated experiments on the curved surface design and spraying effect of the fill light surface, as well as verification tests on numerous prototypes, we found a spraying technique to reflect light sources and an optimal curvature that can fully illuminate the human face and still be soft and comfortable on the eyes.
The device adopts a durable and easy structural design, which can be mass-produced at a lower mold cost. By using a special partially-recycled ABS material, the pure white texture of the main body can be maintained even after long-term use. The panel of the product is made of 1mm highly transparent optical tempered glass. The screen and camera are configured as a mono-block through black ink screen printing, which further perfects a rounded outline for the screen and fits seamlessly into any environment.
Design Challenge: The most difficult part of the product design lies in developing miniature 3D depth cameras, efficiently calculating the depth of objects from the screen and running face recognition algorithms on a low-power embedded platform to ensure better user experience.
To solve these problems, the Ezalor team conducted a series of experiments for overall solution design and hardware selection and designed a new set of deep reconstruction algorithms for the embedded platform. While ensuring accuracy, the reconstruction time is reduced to one-fifth of the original. At the same time, the face recognition algorithm was re-optimized for the implementation scenarios of the product by using SIMD technology, enabling users’ access without any disturbance.
While designing the product, we paid special attention to the user experience from different angles and in different scenarios, especially when light conditions are not ideal. The diffuse reflection is used to provide fill light on the face, which not only improves the recognition process but also avoids direct light that may cause discomfort to users’ eyes.
Research: This product uses 3D face recognition technology with high recognition accuracy and can prevent deception by non-live images. It can thwart attacks with 2D printed faces, photographs, 3D face masks, 3D head models and recorded videos.
2D face recognition algorithms have reached an accuracy rate of 99.80%, according to the test result of the face recognition algorithm Insightface on the LFW database. The recognition accuracy rate is even comparable to that of humans. Limitations, however, do exist, mainly arising from data loss in 2D information, making it hard to fully read a real face and causing issues in face recognition and liveness detection accuracy.
In 2017, Apple officially released the iPhone X. Its 3D structured light technology replaced fingerprint sensing with Face ID, impacting the 3D sensing technology market. Compared with 2D technology, the 3D face model has a stronger description ability and can better read real faces, greatly improving the accuracy of face recognition and liveness detection.
Based on the aforementioned advantages, the 3D face recognition technology developed by Ezalor can be widely used in Internet of Things applications, internet payment systems, new retail channels, mobile payments, banking services, security settings, and government establishments among other scenarios, for better prevention against attacks and optimal face recognition accuracy.
Inspiration: Face recognition access control accuracy is affected by light. Users have to look into the strong light dozens of times a day, making their eyes very uncomfortable.
Our algorithm and camera allow accurate recognition in extremely dim environments. so we only need diffusely reflected light to meet our needs. Soft light enhances comfort. The financial level anti-spoofing ability shut out the fake-face. It offers high-level security and ergonomic simplicity that fits effortlessly into your life.
Project Duration: The project began in September 2019 in Beijing and will be completed in March 2020.
Operation Flow: When the user approaches the device, it automatically starts to recognize faces. If the light is dim, it will gradually glow. Intuitive setup and use can reduce staff costs in the long run. Face data is encrypted and stored locally, and the recognition process does not require networking to ensure privacy.

1. Setup:
-Access login interface through mobile phone App.
-Register information.
-Add 3D face access control device.

2. Access with face recognition.