Edison Vein ID System

Edison Vein ID System

Low-Cost Intel-Edison-Powered User Authentication System that uses an Individual’s Unique Finger-vein Pattern (Presented at Intel ISEF '17)

Artificial Intelligence, Internet of Things

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Description

While biometrics have become a vital part of user authentication in technological platforms, they suffer from issues like fabrication, high costs, and vulnerability to physical damage that make them difficult to implement in low-cost scenarios. To meet this need, this project authenticates identities through inexpensive peripheral vein biometrics with the Edison Vein ID (EVID) system.

EVID consists of a low-cost NIR camera and low-power NIR LED array. The array emits ~850 nanometer light, which is absorbed by the finger veins’ deoxygenated blood and detected by the camera. Through the Intel Edison Compute Model, a computer vision algorithm captures a raw image, performs contrast-limited adaptive histogram equalization to increase the veins’ contrast, and reduces image noise through a Bilateral Gaussian Filter that preserves the veins’ edges. Finally, a binary threshold segments the image and extracts the unique vein structure, which is then registered as a biometric template.

A MATLAB normalized cross correlation algorithm computes a matching score [0-1] to compare an input image against a template for authentication. This process was repeated with all registered templates to test EVID’s ability to use input images to identify individuals. A 0.573 match score threshold for the verification and identification processes was determined based on False Acceptance Rates and False Rejection Rates according to Biometric Evaluation Standards.

EVID captured, processed, and stored peripheral vein images from 30+ samples, using these templates to authenticate and identify individuals from over 170 images. Future work includes using multi-modular biometrics to create the most secure identity verification system.

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Intel ISEF 2nd Place in System Software Category

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Isaac O. updated status

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Isaac Olaniyi

working on an AI chatbox that help teach programming to newbies by providing templates, solutions, guidance and periodical evaluation of each students

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Peter M. created project Smart City Air Monitor

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Smart City Air Monitor

Smart City Air Monitor uses air quality sensor attaching to the vehicle to monitor the air quality through out the city. This idea originally came from Pigeon Air Patrol, where they use pigeon to monitor air quality in London. We believe that using our own cars would have much better results. A pubnub will be sending push notifications for those who enters the polluted areas. It would provide 3 major benefits

1) For the drivers, they can now avoid heavily polluted areas and find alternative routes, it also allows them to monitor pollution during time of the day.

2) The drivers now are also providing the air quality data to the city so that everyone else can plan their days around it.

3) The city now knows where the most heavily polluted areas are, so that they can install air filters, trees, or simply signs to warn other citizens the general air quality around that area.

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Phil C. updated status

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Phil Carlisle

I'm a researcher who's PhD is in the area of Digital Actors (mainly for videogames/interactive storytelling). So I'm looking at technology that will help drive advances in Digital Actor behavior and production.

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Filip C. updated status

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Filip Ceglik

Hello

My name is Filip and I recently started my amazing adventure with artificial intelligence and I am loving it! I have lots of ideas for making life easier or at least more amazing and breathtaking. My main goals are to make AI's for medical purposes like identifying tumors, etc. Automated self driving cars, face identification and more. Also I am hobbyist game developer and in this area, there are lots of things to push AI into. At the moment I am working on a program which can identify a brain tumors from MRI's photos. I am super excited for working in AI area and hope that I am going to achieve these goals.

Have a nice day guys and I wish you good luck with your projects.

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Ali R. created project my dream Project !

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my dream Project !

Sorry if it is shocking for you :( but as an engineer working in automotive Industry I deeply feel myself responsible about it: According to WHO statistics, there are yearly around 1,2 million deaths in roads all over the globe. It means daily ~3500 people are lost. A very needed usage of AI is developing algorithms and designing systems which help drivers avoid mistakes. My dream project is something which will be installed on autos and reduces the number above.

If you are also interested in this topic I would like to be in contact with you, share what I know and know what the others think/do.

the images of this decreiption : http://monotonecritic.com/wp-content/uploads/2017/06/Advanced-Driver-Assistance-Systems-ADAS-Market-e1498045162384.jpg

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