Chris Dopp & Travis Baldwin 的作品 Vista EY2T 电动生物识别摄像机

设计师 Chris Dopp & Travis Baldwin 的作品 Vista EY2T 电动生物识别摄像机荣获了极具声望的 2015 A' Design Award 银奖，竞赛类别为安防、安全与监控产品设计。

银安防产品· 2015

Vista EY2T 电动生物识别摄像机

设计师： Chris Dopp & Travis Baldwin

客户: Vista Imaging and Crea Inc Design LTD

安防产品类别A' Design Award 银奖获奖者

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关于 Vista EY2T 电动生物识别摄像机

Vista EY2T 是一款用于虹膜与面部识别的电动生物识别摄像机。设备会在视场范围内扫描人脸，随后由电机驱动摄像头旋转，精准对准双眼。宽幅分布的红外 LED 与自动对焦系统可实现 3 至 6 英尺距离内的采集，无需手动对准。九个前置传感器统一隐藏于一整块黑色面板之后，圆端胶囊状的圆柱形机身塑造出沉静而无压迫感的造型。该摄像机既可独立使用，也可搭配壁挂支架安装。

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关于A' Design Award 银奖

Vista EY2T 电动生物识别摄像机是 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Vista EY2T 电动生物识别摄像机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。Vista EY2T 电动生物识别摄像机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。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: The EY2T is an auto rotating biometric ID camera. It scans the field of view for faces, then using motors it rotates it to aim directly at eyes for best capture. The wide spread of LEDs allows capture at 3 to 6 feet. This eliminates manually aiming at the eyes and captures at greater range. The motors, distance sensor, LEDs, and autofocus make the device unique. The versatility of mounting, either standalone or with wall mount, plus the simple pill shaped design stand out from competition.
尺寸与包装: The overall dimensions in the tripod configuration are 215 mm wide x 116 mm tall x 77 mm deep. In this housing, it is mounted at roughly human eye level.
When using the alternative wall mounted outer housing, the EY2T is a different size. The overall dimensions are 199mm x 108mm x 51mm. When mounted, the size of the exposed portions rising from the surface of the wall are 15mm x 108mm x 199mm. The hole required for the device is 190mm x 51mm x 102mm.
标签: Biometric, Identification, Iris, Facial Recognition, Camera, Vista Imaging, Security, Access
生产技术: The EY2T is a combination of thermoset injection molded plastics, CNC produced metal support arms, internal bearings & motor, screws, printed circuit boards & components, glass lenses, and rubber strain reliefs. The plastic is both opaque PC ABS material, as well as semitransparent IR light transmissive Bayer plastic for the front lens.
设计挑战: The biggest challenge was simplifying the exterior so the design is non-threatening to users. This was especially difficult when resolving the intimidating amount of sensors on front surface, accomplished through aesthetic positioning and IR light transmissive plastics. Another difficulty was to design a form allowing motorized rotation without exposing the mechanics. The wide variety of potential markets was also a challenge, leading to multiple mounting options and variations of the design through sensor options and their internal positions.
研究: Qualitative interviews found people have concerns about biometric capture, leading to a specific design tone: Serious, but friendly. As the camera is motorized, research was done into friendly robot styles (ex: Eve from Wall-E) which guided the design. Research showed competitor products and new biometric technology, such as face tracking, which was integrated. Target client environments were considered (ex: offices where people are identified for high value transactions or receiving money).
灵感: Inspiration was a need for simple appearance and operation when capturing a persons identity, something that could be uncomfortable. The rotating form in form design reduces apparent motion when it aims at the eyes. There are 9 front sensors simplified by a black face unifying them aesthetically. The overall width allows a wide spread of the IR LED, located to the far left and right, thus increasing range. The cylindrical form allows rotation and the spherical ends add a friendly shape.
项目周期: The project was conceptualized in San Carlos, CA (USA) in early 2013, and developed jointly in Bristol (UK) and California over the year. The project continued over 2014 and was finished in early 2015. Plastic housings were created in Carlsbad CA (USA) & Shenzhen (China), and electronics were produced in Singapore.
操作流程: When a subject approaches, it 1st recognizes faces and locates the eyes. Motors pivot to aim the cameras at the face. When aimed, LEDs illuminate the IRIS and the distance sensor helps camera focus. A high res image is captured of both eyes and cropped. The 2nd camera captures the entire face with a flash. The images are processed and sent for identification.
Quickly acquiring biometric images, using the many sensors & motors, allows EY2T to outperform manual ID cameras. The wide LED spread & autofocus allow a greater range of capture.
团队成员: Project Manager: Chris Dopp
Electrical Engineering: Keith Grethen
Software Engineering: Ted Stein
Manufacture: Charles Arentzen
Industrial Designer: Travis Baldwin
图片版权: Image #1: Photographer Travis Baldwin / In Office / 2015

Image #2: Photographer Travis Baldwin / IRIS Capture Window / 2015

Image #3: Illustrator Travis Baldwin / Wall Mounted Showing Rotation / 2015

Image #4: Illustrator Travis Baldwin / Image Capture in Office / 2015

Image #5: Illustrator Travis Baldwin / Wall Mount with Face / 2015