Intelligent Fatigue Detection and Automatic Vehicle Control System

Autor:	P. S. Mohod, Monali Gulhane
Rok vydání:	2014
Předmět:	FOS: Computer and information sciences Sleep state Computer science Early signs Other Computer Science (cs.OH) education Image processing Control room Signal Computer Science - Other Computer Science Vehicle control State (computer science) Falling (sensation) Simulation
Zdroj:	International Journal of Computer Science and Information Technology. 6:87-92
ISSN:	0975-3826 0975-4660
Popis:	This paper describes method for detecting the early signs of fatigue in train drivers. As soon as the train driver is falling in symptoms of fatigue immediate message will be transfer to the control room indicating the status of the drivers. In addition of the advance technology of heart rate sensors is also added in the system for correct detection of status of driver if in either case driver is falling to fatigue due to any sever medical problems .The fatigue is detected in the system by the image processing method of comparing the image(frames) in the video and by using the human features we are able to estimate the indirect way of detecting fatigue. The technique also focuses on modes of person when driving the train i.e. awake, drowsy state or sleepy and sleep state. The system is very efficient to detect the fatigue and control the train also train can be controlled if it cross any such signal by which the train may collide on another train.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4213c472a5ccbd2e927d9c90f12f266 https://doi.org/10.5121/ijcsit.2014.6307 Zobrazit plný text záznamu