Vehicle Operator Attention Monitor

Author

Matthew KrispinskyFollow
Matt MarsekFollow
Matthew MayfieldFollow
Brian CallFollow

College

College of Engineering (COE)

Date of Last Revision

2023-05-03 17:19:58

Major

Computer Engineering - Cooperative Education

Honors Course

4400 402-002

Number of Credits

3

Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2020

Abstract

Motor vehicle operators’ attention levels can be monitored to improve driver safety. By recording and analyzing the drivers eye gaze, hand position, vehicle speed and engine rpm the driver’s attention can be determined. A Raspberry Pi will be the main processing unit. Data will be pulled and analyzed from the OBD-II port on vehicle speed and engine rpm. The system will be powered from a 12V, 4A pin on the OBD-II port connected to the car battery. A webcam will be used to track the pupil location and determine when the driver is looking at the road. A battery powered microprocessor with sensors on the steering wheel will record hand position and wirelessly transmit to the main processing unit using Bluetooth. The system will alert the driver upon determined infractions; not looking at the road for 2 seconds, hands not at the optimal positions for more than 1 second, or dangerous speeds and acceleration. The system will also track and store the number of infractions over a period of time for additional analysis. Vehicle operators attention levels can be monitored and improved using these methods.

Research Sponsor

Gregory Lewis

First Reader

Robert Veillette

Second Reader

Osama Al Khateeb

Honors Faculty Advisor

Robert Veillette

Recommended Citation

Krispinsky, Matthew; Marsek, Matt; Mayfield, Matthew; and Call, Brian, "Vehicle Operator Attention Monitor" (2020). Williams Honors College, Honors Research Projects. 1146.
https://ideaexchange.uakron.edu/honors_research_projects/1146