Driver drowsiness detection using image processing and machine learning
Fahad Rafiq (3169)
creator
text
Islamabad
(Unpublished)
2022
monographic
xii, 34 p. : ill., Col. ; 30 cm. +CD
Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences
Includes bibliographical references.
Thesis supervisor: Dr. Faraz Akram
Thesis (M.S.)--Riphah International University, 2022
English
Electrical Engineering
Eye aspect ratio feature
Image frames extraction
Public circularity feature
FEAS
621.3 FAH