HBSI AUTOMATIONUsing the Kinect

CHAPTER 1

•There is no way currently to automatically

detect HBSI errors in real-time using the Kinect

2

STATEMENT OF THE PROBLEM

8.8.6

•Can an algorithm be developed to

automatically detect HBSI errors in real-time

using the Kinect 2

RESEARCH QUESTION/HYPOTHESIS

8.8.7

• 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

•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

•Critical points will be finished

•Microsoft Kinect software is appropriate

•Kinect 2 is a reliable tool for meaurement

ASSUMPTIONS

8.8.10

•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

•HBSI errors will be pre-defined

•Only for iris modality

•Not detecting quality

DELIMITATIONS

8.8.12

CHAPTER 2

LITERATURE REVIEW

CHAPTER 3

CHAPTER 4

CHAPTER 5