Abstract
Driver sleep detection is a car safety technology which helps to prevent accidents when the driver gets drowsy. Various studies have suggested that around 20% of road accidents are fatigue related. A sleep alarm is used in a vehicle for detecting the condition indicative of the onset of sleepiness of a driver and for alerting the driver. An eye blink sensor is used to keep track of the driver’s eyelid motion. If the predefined safety conditions are not met, then the driver is alerted by producing an alarming sound from the inbuilt car speakers primarily. Secondly, a vibrating device is incorporated within the driver’s seat which activates when the conditions are not satisfied. Taking into account of the worst case scenario, that is, if the driver does not respond to any of these alarms then, using the proximity sensors, the obstacles around the vehicle is detected, and the brakes are automatically applied gradually.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kusuma Kumari BM (2014) A real time driver drowsiness detection system. Int J Comput Appl 32–34
Choudhary P, Sharma R, Singh G, Das S (2016) A survey paper on drowsiness detection & alarm system for drivers. Int Res J Eng Technol 1433–1437
Bhavya B, Alice Josephine R (2013) Intel-eye: an innovative system for accident detection (a two–way approach in eye gaze analysis). Int J Comput Commun Eng 2(2):189–193
Sontakke KM (2015) Efficient driver fatigue detection and alerting system. Int J Sci Res Publ 5(7):1–4
Bergasa LM (2006) Real time system for monitoring driver vigilance, IEEE Trans Intell Transp Syst 7(1):63–77
Ghimire D, Jeong S, Yoon S, Park S, Choi J (2015) Real-time sleepiness detection for driver state monitoring system. Adv Sci Technol Lett 120:1–8
Victoreia G, Yazhini D, Parameswari G, Gurumoorthi E, Vijayabarathy G (2014) Driver fatigue monitoring system using eye closure. Int J Mod Eng Res 4(11):26–31
Fuletra JD, Bosamiya D (2014) A survey on drier’s drowsiness detection techniques. Int J Recent Innov Trends Comput Commun 1(11):816–819
Garg EMVEA (2012) Detection and security system for drowsy driver by using artificial neural network techniques. Int J Appl Sci Adv Technol 1(1):39–43
Saini R, Saini V (2014) Driver drowsiness detection system and techniques: a review. Int J Comput Sci Inf Technol 5(3):4245–4249
Jayanthi D, Bommy M (2012) Vision-based real-time driver fatigue detection system for efficient vehicle control. Int J Eng Adv Technol 2(1):238–242
Malla AM, Davidson PR, Bones PJ, Green R, Jones RD (2010) Automated video based measurement of eye closure for detecting behavioural microsleep
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Babu, T., Ashwin, S., Naidu, M., Muthukumaaran, C., Ravi Raghavan, C. (2019). Sleep Detection and Alert System for Automobiles. In: Hiremath, S., Shanmugam, N., Bapu, B. (eds) Advances in Manufacturing Technology. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6374-0_14
Download citation
DOI: https://doi.org/10.1007/978-981-13-6374-0_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6373-3
Online ISBN: 978-981-13-6374-0
eBook Packages: EngineeringEngineering (R0)