Chris Dopp & Travis Baldwin ᱨᱮᱱᱟᱜ Vista EY2T ᱢᱳᱴᱚᱨ ᱠᱚ ᱫᱚ ᱵᱚᱭᱚᱢᱮᱴᱨᱤᱠ ᱪᱤᱱᱦᱟᱹ ᱠᱚ ᱠᱮᱢᱨᱟ ᱫᱚ ᱥᱩᱨᱟᱹᱠᱷᱟ ᱩᱛᱯᱟᱫ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2015 A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱨᱩᱯᱟᱥᱩᱨᱟᱹᱠᱷᱟ ᱩᱛᱯᱟᱫ· 2015
Vista EY2T ᱢᱳᱴᱚᱨ ᱠᱚ ᱫᱚ ᱵᱚᱭᱚᱢᱮᱴᱨᱤᱠ ᱪᱤᱱᱦᱟᱹ ᱠᱚ ᱠᱮᱢᱨᱟ
Chris Dopp & Travis Baldwin ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Vista Imaging and Crea Inc Design LTD
ᱥᱩᱨᱟᱹᱠᱷᱟ ᱩᱛᱯᱟᱫ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#40052 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Vista EY2T ᱢᱳᱴᱚᱨ ᱠᱚ ᱫᱚ ᱵᱚᱭᱚᱢᱮᱴᱨᱤᱠ ᱪᱤᱱᱦᱟᱹ ᱠᱚ ᱠᱮᱢᱨᱟ ᱵᱟᱵᱚᱛ ᱛᱮ
ᱵᱤᱥᱴᱟ ᱡᱭ ᱴᱩ ᱴᱤ (Vista EY2T) ᱫᱚ ᱢᱤᱫ ᱢᱳᱴᱚᱨ ᱟᱠᱟᱱ ᱵᱚᱭᱚᱢᱮᱴᱨᱤᱠ ᱪᱤᱱᱦᱟᱹ ᱠᱚ ᱠᱮᱢᱨᱟ ᱠᱟᱱᱟ ᱚᱠᱟ ᱤᱨᱤᱥ (iris) ᱟᱨ ᱢᱩᱬᱩᱛ ᱪᱤᱱᱦᱟᱹ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨ ᱦᱚᱭᱚᱜ ᱠᱟᱫᱟᱭ ᱾ ᱱᱚᱶᱟ ᱡᱚᱱᱚᱡ ᱫᱚ ᱦᱚᱲ ᱠᱚᱨᱮᱭᱟᱜ ᱢᱩᱬᱩᱛ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱢᱤᱫ ᱪᱚᱠᱟᱨ ᱵᱚᱦᱚᱠ ᱮᱢ ᱠᱟᱛᱮ ᱥᱮᱱᱫᱽᱨᱟᱭ, ᱟᱨ ᱟᱨ ᱚᱱᱟ ᱛᱟᱭᱚᱢ ᱢᱳᱴᱚᱨ ᱠᱚ ᱠᱮᱢᱨᱟ ᱫᱚ ᱢᱮᱫ ᱠᱷᱚᱱ ᱞᱟᱹᱜᱤᱫ ᱡᱚᱠᱷᱚᱬ ᱠᱚ ᱰᱷᱟᱲᱟᱣ ᱪᱷᱟᱴᱚᱜᱼᱟᱭ ᱾ ᱥᱟᱶᱛᱮ ᱢᱤᱫ ᱴᱮᱴᱟᱜ ᱦᱩᱰᱤᱧ ᱞᱮᱫ ᱚᱠᱟ ᱡᱟᱦᱟᱱ ᱟᱸᱪᱟ ᱮᱞᱤᱰᱤ (infrared LED) ᱠᱚ ᱟᱨ ᱢᱤᱫ ᱚᱴᱚᱯᱚᱠᱚᱥ (autofocus) ᱥᱤᱥᱴᱚᱢ ᱢᱮᱱᱟᱜᱼᱟ, ᱚᱱᱟ ᱫᱚ ᱴᱟᱲᱟᱸᱜ ᱠᱷᱚᱱ ᱛᱤᱱ ᱛᱮ ᱦᱮ ᱴᱮᱴ ᱚᱲᱟᱜ ᱡᱟᱦᱟᱱ ᱫᱚ ᱦᱟᱛ ᱫᱚ ᱴᱤᱫᱟᱹᱜ ᱟᱠᱟᱸ ᱠᱚᱛᱮ ᱚᱴᱟᱭ ᱮᱢ ᱠᱟᱛᱮ ᱴᱷᱤᱠ ᱟᱴᱠᱟᱨ ᱮᱫᱟᱭ, ᱚᱱᱟ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱦᱟᱛ ᱛᱮ ᱰᱟᱦᱟᱨ ᱠᱟ ᱫᱚ ᱵᱟᱝ ᱞᱟᱹᱜᱤᱫ ᱠᱟᱱᱟ ᱾ ᱟᱭᱟᱱ ᱥᱮᱱᱥᱚᱨ ᱠᱚ ᱢᱤᱫᱴᱮ ᱢᱤᱫ ᱦᱟᱸᱰᱤ ᱢᱩᱬᱩᱛ ᱛᱟᱞᱟ ᱦᱚᱸᱪᱚ ᱟᱠᱟᱱᱟ, ᱟᱨ ᱡᱟᱦᱟᱱ ᱟᱠᱟᱨ ᱫᱚ ᱴᱟᱴ ᱠᱷᱚᱱ ᱛᱟᱦᱮᱸ ᱟᱠᱟᱸ ᱠᱚ ᱠᱟᱛᱮ ᱡᱮᱫ ᱟᱠᱟᱨ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱫᱚ ᱫᱟᱲᱮ ᱟᱨ ᱟᱲᱟᱝ ᱵᱟᱭ ᱦᱩᱭ ᱠᱟᱛᱮ ᱟᱠᱟᱨ ᱫᱮᱠᱷᱟᱣᱟᱭ ᱾ ᱱᱚᱶᱟ ᱠᱮᱢᱨᱟ ᱫᱚ ᱟᱡ ᱠᱷᱚᱱ ᱦᱚᱸ ᱵᱮᱵᱷᱟᱨ ᱦᱮᱵᱟᱠᱚᱜᱼᱟ ᱟᱨᱵᱟᱝ ᱥᱮᱲᱮᱫ ᱛᱮ ᱰᱚᱦᱚᱲ ᱠᱟᱛᱮ ᱦᱚᱸ ᱵᱮᱵᱷᱟᱨ ᱦᱮᱵᱟᱠᱚᱜᱼᱟ ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Vista EY2T ᱢᱳᱴᱚᱨ ᱠᱚ ᱫᱚ ᱵᱚᱭᱚᱢᱮᱴᱨᱤᱠ ᱪᱤᱱᱦᱟᱹ ᱠᱚ ᱠᱮᱢᱨᱟ ᱫᱚ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Vista EY2T ᱢᱳᱴᱚᱨ ᱠᱚ ᱫᱚ ᱵᱚᱭᱚᱢᱮᱴᱨᱤᱠ ᱪᱤᱱᱦᱟᱹ ᱠᱚ ᱠᱮᱢᱨᱟ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- 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.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 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. - ᱴᱮᱜ ᱠᱚ
- Biometric, Identification, Iris, Facial Recognition, Camera, Vista Imaging, Security, Access
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- 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.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- 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.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- 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).
- ᱯᱨᱮᱨᱚᱱᱟ
- 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.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- 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.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- 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. - ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Project Manager: Chris Dopp
Electrical Engineering: Keith Grethen
Software Engineering: Ted Stein
Manufacture: Charles Arentzen
Industrial Designer: Travis Baldwin - ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- 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
ᱥᱯᱚᱱᱥᱚᱨᱰ
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ᱟᱨᱦᱚᱸ ᱠᱷᱚᱡ ᱢᱮ
ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾