Muundo Ezalor Udhibiti Wa Ufikiaji Wa Kutambulika Kwa Uso Wa 3D na Huachao Gong ni mshindi mashuhuri wa tuzo ya kifahari ya 2020 Tuzo ya Fedha ya A' Design Award katika Kategoria ya Mashindano ya Usanifu wa Bidhaa za Usalama na Ufuatiliaji.
FedhaBidhaa za Usalama· 2020
Ezalor Udhibiti Wa Ufikiaji Wa Kutambulika Kwa Uso Wa 3D
na Huachao Gong
Mteja: Sciedi Technology Co., Ltd.
Mshindi wa Tuzo ya Fedha ya A' Design Award katika Kategoria ya Bidhaa za Usalama
Mshindi wa Tuzo Aliyethibitishwa
Thibitisha Hali ya Tuzo kwa #97815Muundo
Kuhusu Ezalor Udhibiti Wa Ufikiaji Wa Kutambulika Kwa Uso Wa 3D
Kutana na sensor nyingi na mfumo wa kudhibiti upatikanaji wa kamera, Ezalor. Algorithms na kompyuta ya ndani imeundwa kwa faragha. Teknolojia ya kupambana na uporaji wa kiwango cha kifedha inazuia masks bandia-ya uso. Taa ya kutafakari laini huleta faraja. Kwa blink ya jicho, watumiaji wanaweza kupata mahali wanapenda kwa urahisi. Uthibitishaji wake usio na kugusa inahakikisha usafi.
Utambuzi
Kuhusu Tuzo ya Fedha ya A' Design Award
Ezalor Udhibiti Wa Ufikiaji Wa Kutambulika Kwa Uso Wa 3D ni mshindi wa Tuzo ya Fedha ya A' Design Award, utambuzi wenye heshima kubwa ya ajabu unaotolewa kwa miundo ya hali ya juu kabisa, ya kupendeza na ya kuvutia. Washindi wa Fedha ni kazi zinazong'aa mno na bunifu kupita kiasi zinazoonyesha utaalamu bora, kipaji na busara ya wabunifu wao. Ezalor Udhibiti Wa Ufikiaji Wa Kutambulika Kwa Uso Wa 3D inatarajiwa kuwa kazi nzuri ya kuigwa ambayo ni ya kitaalamu kwa kiasi kikubwa na yenye ubunifu wa kina. Muundo huu ulioshinda Tuzo ya Fedha ya A' Design Award ni uvumbuzi unaojulikana sana na kupendwa, unaonufaisha na kupanua mipaka ya sanaa, sayansi, usanifu na teknolojia. Ezalor Udhibiti Wa Ufikiaji Wa Kutambulika Kwa Uso Wa 3D ni kazi inayotamaniwa mno inayochochea hamu, huleta hisia chanya na huzua mshangao na mastaajabu.
Nyuma ya Muundo
Vifaa vya Habari
Mikopo, wanachama wa timu na maelezo ya kiufundi yaliyotolewa na mbuni.
- Sifa za Kipekee
- 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. - Vipimo na Ufungashaji
- 178mm 31mm 178mm
- Lebo
- Face recognition access control, 3D structured light camera, face recognition, face access control, liveness detection, financial security level
- Teknolojia ya Uzalishaji
- 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. - Changamoto ya Ubunifu
- 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. - Utafiti
- 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. - Msukumo
- 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. - Muda wa Mradi
- The project began in September 2019 in Beijing and will be completed in March 2020.
- Mtiririko wa Uendeshaji
- 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.
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