Team Haplocyonopsis George Hodgson Douglas Krofcheck Jeremy Leakakos Elizabeth Leib David McClelland
You'll have a list of 3 million books. You'll be given an image of a book, and you need to find out which of the 3 million it is -- in 9 seconds. Performance requirements Speed of identification Accuracy of identification Identification simulation
Preprocessing Library Precalculate various image values to allow for faster image identification Identification Library Algorithms using the preprocessed data to identify books quickly and accurately Test Application Application to demonstrate the use of the libraries and allow for easy performance and accuracy testing
1. Take picture 2. Preprocessing 3. Set pruning 4. Identification 5. Result
Lack of test data Utilized collection of images from Amazon Sponsor contact change Complete project review Unfamiliar domain Gathered knowledge
Libraries Test application Testing Medium scale “perfect” samples ▪ 99.9% success rate Small scale “realistic” samples ▪ 81.6% success rate
Algorithm documentation System diagrams Test application guide Product implementation guide Requirements specification
Improve existing algorithms Higher identification rate Faster identification Additional algorithms Optical character recognition (OCR) Wave transformations Large scale dataset Automatic deployment
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