Ezalor O Controle De Acesso Com Reconhecimento De Face 3D por Huachao Gong

O design Ezalor O Controle De Acesso Com Reconhecimento De Face 3D por Huachao Gong é um vencedor altamente estimado do prestigioso 2020 A' Design Award de Prata na Categoria de Competição Design de Produtos de Segurança, Proteção e Vigilância.

PrataProdutos de Segurança· 2020

Ezalor O Controle De Acesso Com Reconhecimento De Face 3D

por Huachao Gong

Cliente: Sciedi Technology Co., Ltd.

Vencedor do A' Design Award de Prata na Categoria Produtos de Segurança

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Vencedor de Prémio Verificado

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Cores

O Design

Sobre Ezalor O Controle De Acesso Com Reconhecimento De Face 3D

Conheça o sistema de controle de acesso a câmeras e sensores múltiplos, Ezalor. Algoritmos e computação local são projetados para privacidade. A tecnologia anti-spoofing de nível financeiro evita as máscaras de rosto falso. A iluminação reflexiva suave traz conforto. Em um piscar de olhos, os usuários podem acessar o lugar que amam com facilidade. Sua autenticação sem toque garante higiene.

O Reconhecimento

Sobre o A' Design Award de Prata

Ezalor O Controle De Acesso Com Reconhecimento De Face 3D conquistou o A' Design Award de Prata, um reconhecimento extraordinariamente prestigiado atribuído a designs de topo de gama, deslumbrantes e impressionantes. Os vencedores da Prata são obras tremendamente brilhantes e extremamente criativas que ilustram a perícia, o talento e a acuidade excecionais dos seus designers. Espera-se que Ezalor O Controle De Acesso Com Reconhecimento De Face 3D seja uma obra maravilhosa e de referência, notavelmente profissional e profundamente inovadora. Este design vencedor do A' Design Award de Prata é uma invenção muito notável e admirada, que beneficia e faz avançar as fronteiras da arte, da ciência, do design e da tecnologia. Ezalor O Controle De Acesso Com Reconhecimento De Face 3D é uma criação imensamente invejada que desperta desejos, traz sentimentos positivos e faz nascer espanto e deslumbramento.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: 178mm 31mm 178mm
Etiquetas: Face recognition access control, 3D structured light camera, face recognition, face access control, liveness detection, financial security level
Tecnologia de Produção: 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.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: The project began in September 2019 in Beijing and will be completed in March 2020.
Fluxo de Operação: 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.