Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition

For the past few years, drowsiness signs detection systems have been developed as one of the initiative to reduce car crashes. However, various luminance intensities are one of the major problems in the development of a drowsiness signs detection system. This research studies the suitable image proc...

書誌詳細
第一著者:	Yuri, Nur Fatin Izzati
フォーマット:	学位論文
言語:	英語英語
出版事項:	UTeM 2017
主題:	T Technology (General) TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/23088/1/Facial%20Drowsiness%20Signs%20Detection%20Algorithm%20Using%20Image%20Processing%20Techniques%20For%20Various%20Lighting%20Condition%20-%20Nur%20Fatin%20Izzati%20Yuri%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/23088/2/Facial%20Drowsiness%20Signs%20Detection%20Algorithm%20Using%20Image%20Processing%20Techniques%20For%20Various%20Lighting%20Condition.pdf

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