由設計師 Huachao Gong 創作嘅 Ezalor 3D人臉識別訪問控制係備受推崇嘅 2020 A' Design Award 銀獎得獎作品，獲獎類別為保安產品設計。

銀保安產品· 2020

Ezalor 3D人臉識別訪問控制

由 Huachao Gong

客戶: Sciedi Technology Co., Ltd.

保安產品類別嘅 A' Design Award 銀獎得獎者

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經驗證嘅獲獎者

驗證設計 #97815 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Ezalor 3D人臉識別訪問控制

滿足多傳感器和攝像機訪問控制系統Ezalor的要求。算法和本地計算旨在保護隱私。財務級別的防欺騙技術可防止假面具。柔和的反光照明帶來舒適感。眨眼間，用戶即可輕鬆訪問自己喜歡的地方。其非接觸式身份驗證可確保衛生。

榮譽認可

關於A' Design Award 銀獎

Ezalor 3D人臉識別訪問控制是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Ezalor 3D人臉識別訪問控制將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Ezalor 3D人臉識別訪問控制是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: 178mm 31mm 178mm
標籤: Face recognition access control, 3D structured light camera, face recognition, face access control, liveness detection, financial security level
生產技術: 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.
設計挑戰: 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.
研究: 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.
靈感: 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.
項目時長: The project began in September 2019 in Beijing and will be completed in March 2020.
操作流程: 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.