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Chris Dopp & Travis Baldwin 嘅作品 Vista EY2T 電動生物識別攝錄鏡頭

由設計師 Chris Dopp & Travis Baldwin 創作嘅 Vista EY2T 電動生物識別攝錄鏡頭 係備受推崇嘅 2015 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· 2015

Vista EY2T 電動生物識別攝錄鏡頭

由 Chris Dopp & Travis Baldwin

客戶: Vista Imaging and Crea Inc Design LTD

保安產品 類別嘅 A' Design Award 銀獎 得獎者

25,961

色彩

設計

關於 Vista EY2T 電動生物識別攝錄鏡頭

Vista EY2T係一部電動生物識別攝錄鏡頭,專門用嚟做虹膜同面部識別。呢部裝置會喺視野範圍內掃描面孔,然後透過馬達驅動鏡頭轉向,對準眼睛位置。憑藉大範圍嘅紅外線LED配合自動對焦系統,喺3至6呎嘅距離內都可以順利擷取影像,毋須人手調校角度。九個前置感應器統一收藏喺同一個黑色面板之下,而圓柱形嘅藥丸狀外形加上圓潤嘅兩端設計,營造出一種平靜、唔會令人感到威脅嘅視覺效果。呢部攝錄鏡頭既可以獨立使用,亦都可以配合壁掛支架安裝。

榮譽認可

關於A' Design Award 銀獎

Vista EY2T 電動生物識別攝錄鏡頭是 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Vista EY2T 電動生物識別攝錄鏡頭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。Vista EY2T 電動生物識別攝錄鏡頭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
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.
尺寸同包裝
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.
標籤
Biometric, Identification, Iris, Facial Recognition, Camera, Vista Imaging, Security, Access
生產技術
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.
設計挑戰
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).
靈感
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.
項目時長
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.
團隊成員
Project Manager: Chris Dopp
Electrical Engineering: Keith Grethen
Software Engineering: Ted Stein
Manufacture: Charles Arentzen
Industrial Designer: Travis Baldwin
圖片來源
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

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