Final presentation of the ENSC 45 Studded Tire Detection Team of Gonzaga University, April 2015.

1. ENSC 45 - StuddedTire
Detection
Will Cooper, Patrick Hinshaw, Patrick McCarthy, Brian Spink

2. Intro
• Project Goal:To detect and count the total number of cars and determine
which have studs.
• Original scope
• Automated stud detector prototype
• New scope
• Developing a method for stud detection

3. Milestones
• MATLAB algorithm to detect cars
• MATLAB program to detect studded tires

4. MATLAB Algorithm
Flowchart
• Signal Extraction
• Collect all relevant signals
from a set of data
• Signal Analysis
• Perform 3 types of analysis
for stud determination
• Calculation of Results
• Calculate the total number
of cars and studs

5. Extraction Method
Input a threshold

7. Extraction Method (Continued)

8. Data Analysis

9. Percent Analysis

10. PDF Analysis

11. PDF Analysis

12. Results
• Text file with relevant data
• Time of signal
• Values of each detection method
• Total number of cars / studs detected
• MATLAB demo of tireDetect.m

13. Error Analysis

14. Caveats
• SNR / undesired signals
• Data Collection Inconsistencies
• Rudimentary signal extraction
• Reliability of detection algorithms
• Inconsistent errors

15. Improved Analysis Possibilities
• Higher quality equipment
• Sensitive sample extraction
• Weighted voting scheme
• Additional test methods
• More detailed error evaluation
• PPV
• NPV

16. Budget
• Polsen SCL-1075 microphone -$50
• ATR-6550 microphone -$55
• Bat detector microphone -$50
• Set of studded tires -$100
• MATLAB Licenses -$300
_________
Total : $555

17. Project Continuation
• All research items will be passed down
• MATLAB programs and experimental data
• Microphones
• Research articles
• Suggestions
• Collaboration with other methods
• Video implementation

18. Conclusion
• Developed an algorithm to detect studded tires
• Total car & stud counter
• Formatted text file for output
• Sound is a viable means of detection
• State of studded tires inWashington State
• Recent talks of a ban