Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi by Chris Dopp & Travis Baldwin

Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi by Chris Dopp & Travis Baldwin is a highly esteemed winner of the very prestigious 2015 Kyautar A' Design Award ta Azurfa in Kayan Tsaro Competition Category.

AzurfaKayan Tsaro· 2015

Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi

by Chris Dopp & Travis Baldwin

Client: Vista Imaging and Crea Inc Design LTD

Kyautar A' Design Award ta Azurfa Winner in Kayan Tsaro Category

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The Design

About Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi

Rubutun Littafi: Vista EY2T kyamara ce mai motsi ta atomatik don gano halittu ta hanyar ido da fuska. Na'urar tana bincika filin gani domin gano fuskoki, sannan motoci suna juyar da kyamarar don ta karkata zuwa ga idanu. Yaɗuwar fitilun infrared masu yawa da tsarin mayar da hankali kai tsaye (autofocus) suna ba da damar ɗaukar hoto daga nisan ƙafa 3 zuwa 6, don haka ba a buƙatar shiryawa da hannu. Na'urori masu firikwensin gaba guda tara an haɗa su a bayan fuska ɗaya baƙar fata, kuma siffar silinda mai kama da kwaya da kusoshi masu zagaye a bangarorin ta na haifar da kamanni mai natsuwa wanda ba ya jawo tsoro. Ana iya amfani da kyamarar shi kaɗai ko kuma tare da na'urar dorawa a bango.

The Recognition

About the Kyautar A' Design Award ta Azurfa

Zanen Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi ya lashe Kyautar A' Design Award ta Azurfa, wata karramawa mai tsananin daraja da ake bai wa zane-zane na matakin koli, masu kyau sosai kuma masu burgewa. Waɗanda suka lashe kyautar Azurfa ayyuka ne masu haske sosai da ƙirƙira mai yawa waɗanda ke nuna ƙwarewa, baiwa da kaifin tunanin masu zanensu. Ana sa ran zanen Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi ya zama aiki mai ban mamaki, abin koyi, mai ƙwarewa sosai kuma mai ƙirƙire-ƙirƙire mai zurfi. Wannan zane da ya lashe Kyautar A' Design Award ta Azurfa ƙirƙira ce mai abin lura sosai, da ake sha'awa, wacce ke amfanar da kuma kai iyakokin fasaha, kimiyya, zane da fasahar zamani gaba. Zanen Vista EY2T Babban Aikin: Kyamarar Gano Halittu ta Atomatik mai Motsi ƙirƙira ce da ake yi wa hassada sosai wacce ke tada sha'awa, tana kawo jin daɗi kuma tana haifar da mamaki da al'ajabi.

Behind the Design

Press Kit

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

Unique Properties: 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.
Dimensions & Packaging: 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.
Tags: Biometric, Identification, Iris, Facial Recognition, Camera, Vista Imaging, Security, Access
Production Technology: 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.
Design Challenge: 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.
Research: 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).
Inspiration: 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.
Project Duration: 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.
Operation Flow: 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.
Team Members: Project Manager: Chris Dopp
Electrical Engineering: Keith Grethen
Software Engineering: Ted Stein
Manufacture: Charles Arentzen
Industrial Designer: Travis Baldwin
Image Credits: 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