{"id":1726,"date":"2015-10-30T22:44:20","date_gmt":"2015-10-30T21:44:20","guid":{"rendered":"https:\/\/www.adimec.com\/more-accurate-fingerprint-identification-using-ffoct-high-full-well-capacity-camera\/"},"modified":"2018-07-30T09:09:01","modified_gmt":"2018-07-30T07:09:01","slug":"more-accurate-fingerprint-identification-using-ffoct-high-full-well-capacity-camera","status":"publish","type":"post","link":"https:\/\/www.adimec.com\/ja\/more-accurate-fingerprint-identification-using-ffoct-high-full-well-capacity-camera\/","title":{"rendered":"More accurate fingerprint identification using FFOCT high full well capacity camera"},"content":{"rendered":"

This story appeared on\u00a0phys.org (http:\/\/phys.org\/news\/2015-10-internal-fingerprint-sensor-peers-fingertips.html<\/a>) about a new internal fingerprint sensor that peers inside fingertips for more accurate identification. \u00a0The sensor (camera) utilized is the high full well (2000 kel), high speed camera developed by Adimec<\/a>.<\/p>\n

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Egidijus Auksorius and Claude Boccara of The Langevin Institute, Paris, France, have constructed a new fingerprint imaging system that peers inside the finger to take a picture\u2014a more reliable and secure way of identifying individuals. Importantly, the device is also simpler, faster, and cheaper than other technology used previously to image inside fingers.<\/p>\n

The new sensor [CMOSIS CSI2100<\/a>] uses a special variant of an imaging technology called optical coherence tomography (OCT). OCT is already used for medical imaging and works by analyzing an interference pattern created when a beam of light that travels through a biological sample, like a finger, is recombined with a reference beam of light.<\/p>\n

Standard OCT systems gather 3D data and often require sophisticated lasers systems and light detectors, which can get expensive. Auksorius and Boccara simplified their system by using a modified version of OCT called full-field OCT, or FF-OCT, which was invented by their laboratory and developed in the early 2000s.<\/p>\n

The main advantage of the FF-OCT system is that it can take a 2D image of the fingerprint directly, saving time and making the data processing simpler and cheaper. Because not everyone’s internal fingerprints are located at the same depth, the researchers also developed a method to first take an image of the fingertip at an angle. The first image was used to determine the depth of the internal fingerprint, and then a second image of the fingerprint itself was taken.<\/p>\n

<\/a>Fingerprint sensor is based on full field optical coherence tomography (FF-OCT) an inexpensive fast camera (Adimec Q-2A750\/CXP<\/a>\u00a0utilizing the CMOSIS CSI2100 image sensor<\/a>). Image Credit: Egidijus Auksorius\/Institut Langevin.\u00a0Read more at:\u00a0http:\/\/phys.org\/news\/2015-10-internal-fingerprint-sensor-peers-fingertips.html#jCp<\/a><\/p>\n

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As part of the FP7 funded CAReIOCA consortium, Adimec has been involved in the development of an extreme full well, high speed camera for non-invasive optical imaging for cancer assessment<\/a>.\u00a0We are now exploring new applications for this camera, such as (non-destructive) interferometric optical microscopy, defraction based contrast imaging, 2D shot noise limited bright scene imaging, and more.<\/p>\n

The new 2 Megapixel CoaXPress camera (Q-2A750-CXP) brings a 1440×1440 resolution at up to 720 fps based on 12 micron pixels. The design of the pixels in this global shutter CMOS image sensor is optimized for maximum full well performance.\u00a0An industry unique full well capacity (FWC) of over 2 million electrons per pixel is between 100 to 200 times higher compared to commonly available high speed CMOS sensor technology today (reference: 10-20 kel full well). 2 million electrons full well capacity per pixel results in extremely good shot noise performance of up to 63 dB SNR, making it possible to accurately detect very weak contrast variations in bright environments at high throughput. This camera is ideal for inline optical metrology systems and real-time applications.<\/p>\n

Adimec offers the camera in a low power, compact outline design, not requiring forced cooling through a fan. This provides optimal design freedom for integrating optics and placement in inspection tools and microscopes.<\/p>\n

If you are an OEM and interested in exploring high full well capacity imaging with us, please contact Adimec at\u00a0Strategy@adimec.com<\/a>, or\u00a0contact<\/a>\u00a0our business office in your region.<\/p>\n","protected":false},"excerpt":{"rendered":"

This story appeared on\u00a0phys.org (http:\/\/phys.org\/news\/2015-10-internal-fingerprint-sensor-peers-fingertips.htm…<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[91],"class_list":["post-1726","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-new-adimec-products","category-1","description-off"],"yoast_head":"\nMore accurate fingerprint identification using FFOCT high full well capacity camera - Adimec JA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.adimec.com\/ja\/more-accurate-fingerprint-identification-using-ffoct-high-full-well-capacity-camera\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"More accurate fingerprint identification using FFOCT high full well capacity camera - 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