Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega naChris Dopp & Travis Baldwin

Dhizaini Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega naChris Dopp & Travis Baldwin ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2015 Mubairo weSirivha we A' Design Award muChikwata cheKukwikwidza cheZvigadzirwa zveKuchengetedzeka, Kuviringidzika neKutarisa.

SirivhaZvigadzirwa zveKuchengetedzeka· 2015

Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega

na Chris Dopp & Travis Baldwin

Mutengi: Vista Imaging and Crea Inc Design LTD

Mukundi weMubairo weSirivha we A' Design Award muChikwata cheZvigadzirwa zveKuchengetedzeka

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Nezvekwa Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega

Vista EY2T ikamera inofamba yega inozivikanwa neBiometric yekuongorora ziso uye chiso. Chishandiso ichi chinotsvaga zviso munzvimbo yekuona, mushure mezvo motors dzinotenderedza kamera kuti iise pfungwa kumaziso. Kupararira kwakafara kwe-infrared LEDs pamwe nesisitimu ye-autofocus zvinobvumira kutorwa kwemifananidzo kubva pachinhambo chemamita 1 kusvika ku2, saka hakuna kudiwa kunongedza nemaoko. Ma-sensors mapfumbamwe ari mberi akabatanidzwa mumusoro mumwechete wakasviba, uye chimiro chekaraundi chakaita sepiritsi chine mativi akatenderera chinogadzira chimiro chinonyaradza uye chisingatyisi. Kamera iyi inogona kushandiswa ega kana ichishandiswa nechigadziko chakabatanidzwa pamadziro.

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Nezve Mubairo weSirivha we A' Design Award

Mubairo weSirivha we A' Design Award wakahwinwa ne Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega, rukudzo rwakakwirira zvikuru runopiwa kumadhizaini epamusoro, anonaka uye anofadza. Vakunda veSirivha mabasa anopenya kwazvo uye ane kugadzira kwakasiyana anoratidza unyanzvi, hunyanzvi hwekusikwa nekungwara kwevagadziri vawo. Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega inotarisirwa kuva basa rinoshamisa, rinotangira vamwe, rine hunyanzvi hunoonekwa uye zvitsva zvakadzika. Dhizaini iyi yakahwina Mubairo weSirivha we A' Design Award chigadzirwa chinoshamisa, chinokudzwa chinobatsira uye chinosundira mberi miganhu yehunyanzvi, sayenzi, dhizaini netekinoroji. Vista EY2T Kamera Inozivikanwa neBiometric Inofamba Yega chigadzirwa chinoshuvirwa nevazhinji, chinomutsa zvishuvo, chinouya nemanzwiro akanaka uye chinomutsa kushamisika.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Kukura & Kupakiwa: 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.
Matagi: Biometric, Identification, Iris, Facial Recognition, Camera, Vista Imaging, Security, Access
Tekinoroji Yekugadzira: 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.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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).
Chikurudziro: 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.
Nguva yePurojekiti: 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.
Mafambiro eBasa: 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.
Nhengo dzeTimu: Project Manager: Chris Dopp
Electrical Engineering: Keith Grethen
Software Engineering: Ted Stein
Manufacture: Charles Arentzen
Industrial Designer: Travis Baldwin
Zvikwereti zveMifananidzo: 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