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Y1 Younger Series 安全设备 by Nicola Zanetti - T&D

Y1 Younger Series 安全设备 by Nicola Zanetti - T&D is a highly esteemed winner of the very prestigious 2020 A' Design Award 银奖 in 安防、安全与监控产品设计 Competition Category.


银安防产品· 2020

Y1 Younger Series 安全设备

by Nicola Zanetti - T&D

Client: T&D technology Shanghai co Ltd

A' Design Award 银奖 Winner in 安防产品 Category

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Verified Award Winner

Verify Award Status for #92157

Colors

The Design

About Y1 Younger Series 安全设备

高质量的材料和简单的设计使这款安全面部识别设备变得花哨,时尚且坚固。内部先进的技术使其成为世界上最快的技术之一,而且非常精确,没有人能欺骗其算法。背面带有氛围灯的防水产品即使在最冷的办公室也能营造出周围的氛围。紧凑的尺寸使其几乎可以安装在任何地方,并且其形状使其可以水平或垂直放置。

The Recognition

About the A' Design Award 银奖

Y1 Younger Series 安全设备是 A' Design Award 银奖得主,这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品,展现出其设计师杰出的专业技能、才华与敏锐。预计Y1 Younger Series 安全设备将成为一件出色的典范之作,兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明,造福并拓展艺术、科学、设计和技术的边界。Y1 Younger Series 安全设备是一件令人羡慕的创作,它唤起渴望,带来积极的情感,并激发惊叹与赞叹。

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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