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Y1 Younger Series 安全設備 by Nicola Zanetti - T&D

Y1 Younger Series 安全設備 by Nicola Zanetti - T&D is a highly esteemed winner of the very prestigious 2020 A' Design Award 銀獎 in 保安產品設計 Competition Category.


銀保安產品· 2020

Y1 Younger Series 安全設備

by Nicola Zanetti - T&D

Client: T&D technology Shanghai co Ltd

A' Design Award 銀獎 Winner in 保安產品 Category

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Verified Award Winner

Verify Award Status for #92157

Colors

The Design

About Y1 Younger Series 安全設備

高質量的材料和簡單的設計使這款安全面部識別設備變得花哨,時尚且堅固。內部先進的技術使其成為世界上最快的技術之一,而且非常精確,沒有人能欺騙其算法。背面帶有氛圍燈的防水產品即使在最冷的辦公室也能營造出周圍的氛圍。緊湊的尺寸使其幾乎可以安裝在任何地方,並且其形狀使其可以水平或垂直放置。

The Recognition

About the A' Design Award 銀獎

Y1 Younger Series 安全設備是 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Y1 Younger Series 安全設備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。Y1 Younger Series 安全設備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。

Behind the Design

Press Kit

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

Unique Properties
focused on quality of materials and simplicity of design, this security face recognition device is fancy, stylish and robust. Main body is made by Aluminium, the product is of course water proof, there is an atmosphere lamp on the back side and a reflective face light to ensure the 2 megapixel camera can get a clean picture. The compact size make it fitting almost everywhere and the shape is clean without any visible screw.
Dimensions & Packaging
Dimension: 8.3x8.5x18.7 cm pack: 12x12x23cm
Android 9 O.S running on a 4 cores CPU and 2+16 Gbyte memory.
300 millisecond recognition algorithm.
4G/5G network
USB3.0, Bloothoth
Tags
face, recognition, ID, security, technology, camera, gate
Production Technology
Body case is made by CNC on aluminium block. Sealed by detailed matching parts is totally water proof and cannot be affected by dust or rain. The software system is based on Android 9 O.S running on a 4 cores CPU and 2+16 Gbyte memory. The world most advanced recognition algorithm can recognize a face in less than 300 milliseconds through a two eyes identification, to avoid people use fake photos or sculptured faces. Equipped with distance sensors and a 5 inch Lcd HD display IPS can communicate with a 4G/5G network, USB or Bluetooth. This product main feature is face recognition but can be used for advertisement and advices.
Design Challenge
the main target was to make a clean and simple shape to show this product as friendly and easy. Matching a simple and pure shape with the water proof need and the absence of screws outside was a real challenge.
Research
the benchmark of what existing on the market and the technichal needs of the product/client were at the base of the research start. Disassembling existing competitors products and check the technology and solutions they used helped us to find our way. After defining the technichal layout we started to study the ergonomy in details i.e. the best inclination of the camera to fit on a wall and get a clear picture of tall and short people. Many prototypes were made to check the size that fits usability and appearence, while allow all technichal parts inside.
Inspiration
Less is more is one of our preferred motto, so we tried to follow this idea and cut all useless parts and shapes in order to achieve a simple and stylish outlook design. Mor simple means often also more easy to understand and use. Nature is simple and direct, we tried to follow this way, designing a simple and clean product.
Project Duration
Project started around December 2018 in Shanghai and finished in September 2019 when it was presented in a special convention.
Operation Flow
Simply walk in front of a door or a gate and the camera will check your face in less than half second and will automatically open the gate welcome you or ask you to wait the attendant to get a pass, in acase you are not listed. While in stand by the display can show advertisements or welcome messages. This product can be placed on wall, desk, passenger channels or other scenarios.
Team Members
Nicola Zanetti,
Ron Peleg,
Simone Mandella,
Federico Gonzales Bosque

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