ENGS 89/90 Reports
Degree Program
B.E.
Year of Graduation
2020
Sponsor
Toyota Research Institute, Cambridge, Massachusetts
Project Advisor
Kofi Odame
Instructor
Douglas Van Citters and Solomon Diamond
Document Type
Report
Publication Date
3-6-2020
Abstract
The objective of this project is to deliver safe DMS hardware and interfacing/preprocessing software on which Toyota can run its drowsiness detection neural net. The system shall: securely house all necessary imaging, electronic, and computer hardware to output facial recognition data to the car’s computer, without data input from any other car system; obscure less than 10% of the driver’s field of view out of a standard windshield; be able to capture and process images such that the image classification neural net recognize the images, meeting the top-1 benchmark accuracy statistic across static and dynamic car-cabin lighting conditions; and meet the sponsor’s aesthetic standards and CNC milling and Injection Molding best practices.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Lein, Daniel; Sarma, Prahlad; Roussell, William; Nuñez, Nathan; and Manzanares, Elvis, "Dashboard-Mounted Driver Monitoring System" (2020). ENGS 89/90 Reports. 24.
https://digitalcommons.dartmouth.edu/engs89_90/24
Restricted
Available to Dartmouth community via local IP address.
