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HBSI automation using the kinect

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Thesis outline for automatically detecting HBSI errors in real-time using the Kinect v2 sensor.

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HBSI automation using the kinect

  1. 1. HBSI AUTOMATION Using the Kinect
  2. 2. CHAPTER 1
  3. 3. •There is no way currently to automatically detect HBSI errors in real-time using the Kinect 2 STATEMENT OF THE PROBLEM 8.8.6
  4. 4. •Can an algorithm be developed to automatically detect HBSI errors in real-time using the Kinect 2 RESEARCH QUESTION/HYPOTHESIS 8.8.7
  5. 5. • Reduce cost for the vendor • Automatically attribute errors • Increase throughput time • Better quality of data • Better match rates • Reduction in habituation and the need for training • Increase center efficiency in providing guidance on errors SIGNIFICANCE OF THE PROBLEM 8.8.8
  6. 6. •Develop a program that uses the Kinect 2 to automatically detect HBSI errors in real-time •To show the proof of concept, I’ll integrate with the AOptix iris camera STATEMENT OF PURPOSE/SCOPE 8.8.9
  7. 7. •Critical points will be finished •Microsoft Kinect software is appropriate •Kinect 2 is a reliable tool for meaurement ASSUMPTIONS 8.8.10
  8. 8. •Potential infrared interference between AOptix and Kinect 2 •Potential lag between AOptix logs being written and being read by the program LIMITATIONS 8.8.11
  9. 9. •HBSI errors will be pre-defined •Only for iris modality •Not detecting quality DELIMITATIONS 8.8.12
  10. 10. CHAPTER 2
  11. 11. LITERATURE REVIEW
  12. 12. CHAPTER 3
  13. 13. CHAPTER 4
  14. 14. CHAPTER 5

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