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

1. HBSI AUTOMATION
Using the Kinect

2. CHAPTER 1

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. •Can an algorithm be developed to
automatically detect HBSI errors in real-time
using the Kinect 2
RESEARCH QUESTION/HYPOTHESIS
8.8.7

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. •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. •Critical points will be finished
•Microsoft Kinect software is appropriate
•Kinect 2 is a reliable tool for meaurement
ASSUMPTIONS
8.8.10

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. •HBSI errors will be pre-defined
•Only for iris modality
•Not detecting quality
DELIMITATIONS
8.8.12

10. CHAPTER 2

11. LITERATURE REVIEW

12. CHAPTER 3

13. CHAPTER 4

14. CHAPTER 5