Chris Dopp & Travis Baldwin tomonidan Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi

Chris Dopp & Travis Baldwin tomonidan yaratilgan Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi — Xavfsizlik, Himoya va Kuzatuv Mahsulotlari Dizayni tanlov toifasida nufuzli 2015 A' Design Award Kumush Mukofoti mukofotining yuqori baholangan g'olibidir.

KumushXavfsizlik Mahsulotlari· 2015

Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi

muallif: Chris Dopp & Travis Baldwin

Mijoz: Vista Imaging and Crea Inc Design LTD

Xavfsizlik Mahsulotlari toifasida A' Design Award Kumush Mukofoti g'olibi

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Saytga tashrif A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

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Dizayn

Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi haqida

Vista EY2T — iris va yuzni tanish uchun mo'ljallangan motorli biometrik identifikatsiya kamerasidir. Qurilma ko'rish maydonini yuzlarni aniqlash uchun skanerlaydi, so'ngra motorlar kamerani ko'zlarga qaratish uchun aylantiradi. Infraqizil LEDlarning keng tarqalishi va avtofokus tizimi 3 dan 6 futgacha masofada suratga olishga imkon beradi, shu sababli qo'lda moslashtirish talab etilmaydi. To'qqizta old panel sensori yagona qora yuz ortida birlashtirilgan bo'lib, silliqlangan uchlarga ega silindrsimon tabletka shakli sokin va tahdid solmaydigan ko'rinishni yaratadi. Kamera mustaqil holda yoki devor kronshteyni bilan ishlatilishi mumkin.

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A' Design Award Kumush Mukofoti haqida

Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi A' Design Award Kumush Mukofotining g‘olibi bo‘lib, bu go‘zal, ulug‘vor va ta’sirchan eng yuqori darajadagi dizaynlarga beriladigan favqulodda nufuzli e’tirofdir. Kumush g‘oliblari o‘z dizaynerlarining ajoyib mahorati, iste’dodi va o‘tkirligini ko‘rsatuvchi juda yorqin va o‘ta ijodiy asarlardir. Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi ajoyib, namunaviy, diqqatga sazovor darajada kasbiy va chuqur innovatsion asar bo‘lishi kutiladi. A' Design Award Kumush Mukofotini qo‘lga kiritgan ushbu dizayn san’at, fan, dizayn va texnologiya chegaralarini kengaytiruvchi juda e’tiborga loyiq, tahsinga sazovor ixtirodir. Vista EY2T Motorli Biometrik Identifikatsiya Kamerasi ko‘pchilik havas qiladigan, istaklarni uyg‘otadigan, ijobiy tuyg‘ular olib keladigan hamda hayrat va ajablanish uyg‘otadigan ijoddir.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: 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.
Teglar: Biometric, Identification, Iris, Facial Recognition, Camera, Vista Imaging, Security, Access
Ishlab chiqarish texnologiyasi: 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.
Dizayn muammosi: 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.
Tadqiqot: 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).
Ilhom: 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.
Loyiha muddati: 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.
Ish jarayoni: 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.
Jamoa a'zolari: Project Manager: Chris Dopp
Electrical Engineering: Keith Grethen
Software Engineering: Ted Stein
Manufacture: Charles Arentzen
Industrial Designer: Travis Baldwin
Rasm mualliflari: 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