1 / 26

Pro Quo Books Book Cover Scanning System

Jeremy Leakakos George Hodgson Elizabeth Leib Douglas Krofcheck David McClelland. Team Haplocyonopsis. Pro Quo Books Book Cover Scanning System. Synopsis. Who is Pro Quo Books? What is the problem we need to solve?

shawnae
Télécharger la présentation

Pro Quo Books Book Cover Scanning System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Jeremy Leakakos George Hodgson Elizabeth Leib Douglas Krofcheck David McClelland Team Haplocyonopsis Pro Quo Books Book Cover Scanning System

  2. Synopsis • Who is Pro Quo Books? • What is the problem we need to solve? • You'll have a list of 30 million books.  You'll be given an image of a book, and you need to find out which of the 30 million it is... in 9 seconds. • What are we doing about it? • Why is this a difficult problem?

  3. Deliverables • Book cover preprocessing library • Book cover identification library • Test application

  4. Requirements Elicitation • Initial sponsor meeting • Conference calls • Application prototype • Performance requirements • 9 second time limit to identify a book • 20% identification rate with 90% confidence

  5. Technologies • C# / Visual Studio • MySQL • AForge.NET • Open source image processing library

  6. Technical Process • Evolutionary delivery • Incremental development • 2-3 week increments • Test app increment • Prototype increment • Product increment

  7. Evolutionary Delivery

  8. Metrics • Effort: Time tracking • Team and individual • Progress: Average time taken to identify a book • Progress: Number of true positives vs. number of false positives

  9. Testing Strategy • Test application • Deliverable • Testing platform • Simulate production environment • Input rate • Time threshold • Database size

  10. Test App Metrics Graph

  11. Schedule

  12. Schedule

  13. Schedule

  14. Schedule

  15. Risks • Unfamiliar domain • Image processing • Inadequate testing material • Test database not large enough • Miscommunication • Misunderstanding of terminology

  16. Design • Pipe and filter architecture • Start with filters to whittle down the dataset • Finish with identification algorithms

  17. Sequence - Scanning

  18. Sequence - Preprocessing Fly Fishing

  19. Sequence – Database

  20. Sequence – Imaging 0.093 chance of matching

  21. Sequence - Result

  22. Progress so far… • Test application • Multiple functional filters and identification algorithms • Preprocessing algorithms • Solid plan for spring quarter

  23. Reflections • The good stuff • Communication • Test application • Working filters and identification algorithms • Well-defined scope

  24. Reflections • The not so good stuff • Time estimation • Production problems

  25. Spring Quarter • Prototype increments • Products increments • Finish development

  26. Questions?

More Related