Nail to Nail (N2N) Fingerprint Scanner was developed under Cornell SonicMEMS lab as an entry for IARPA N2N Fingerprint Challenge 2017. Our system is a non-contact optical fingerprint scanner capable for collecting and processing the nail-to-nail fingerprint of each finger under 5 seconds. We were the finalist and the winner of Print Provider Prize and Master Builder Prize.

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I was the initial contributor and team captain for this project, which first started as my individual project, but became a team effort as we entered later stage of the challenge.

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My contribution includes overall system design (electrical and mechanical), system build, stage II software development, and team coordination.

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This scanner acquires the 180 deg video of finger using a digital microscope. This video is then processed to generate fingerprint images.

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