Abstract
With the increase in the number of vehicles on our roads, the number of road accidents is also increased drastically. One of the major reasons found for this mishappening is driver fatigue. By this proposed system, the author tries to measure a driver’s fatigue by detecting drowsiness as this is the only way to calculate fatigue. This paper presents the module for advanced driver assistance system (ADAS) which monitors and calculates driver’s drowsiness and warned driver through an alert system which will subsequently lead to decrease in the no. of road accidents. The designing of this system is done in such a way that one need not install any external hardware device. The rear camera of the mobile is used to monitor the eyes and mouth region of the driver. The system will alert you through an alarm if it recognizes the blinking of eyes or yawning or both. If the driver’s eye remains closed or mouth remains open for a certain period which can be done through the algorithm discussed below, then it is considered that the driver is drowsy.
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References
Ratna Kaavya M, Ramya V, Franklin RG (2019) Alert system for driver’s drowsiness using image processing. In: 2019 international conference on vision towards emerging trends in communication and networking (ViTECoN)
Baek JW, Han B-G, Kim K-J, Chung Y-S, Lee S-I (2018) Real-time drowsiness detection algorithm for driver state monitoring systems. In: 2018 tenth international conference on ubiquitous and future networks (ICUFN)
Binti Amirudin NA, Saad N, Azhar Ali SS, Hasan Adil S (2018) Detection and analysis of driver drowsiness. In: 2018 3rd international conference on emerging trends in engineering, sciences, and technology (ICEEST)
Kim W, Choi H-K, Jang B-T (2018) Study on training convolutional neural network to detect distraction and drowsiness. In: 2018 IEEE region ten symposium (Tensymp)
Artanto D, Prayadi Sulistyanto M, Deradjad Pranowo I, Erry Pramesta E (2017) Drowsiness detection system based on eye-closure using a low-cost EMG and ESP8266, ICITISEE 2017
Riztiane A, Hareva DH, Stefani D, Lukas S (2017) Driver drowsiness detection using visual information on android device. In: 2017 international conference on soft computing, intelligent system, and information technology (ICSIIT)
Tombeng MT, Kandow H, Adam SI, Silitonga A, Korompis J (2019) Android-based application to detect drowsiness when driving vehicle. In: 2019 1st international conference on cybernetics and intelligent system (ICORIS)
Kusuma Kumari BM (2015) A real-time driver drowsiness detection system. In: IJCA proceedings on international conference on innovations in computing techniques (ICICT 2015), 17–21 July 2015
Alshaqaqi B, Baquhaizel AS, Ouis MEA, Boumehed M, Ouamri A, Keche M (2013) Vision-based system for driver drowsiness detection. In: 2013 11th international symposium on programming and systems (ISPS)
Devi MS, Choudhari MV, Bajaj P (2011) Driver drowsiness detection using skin color algorithm and circular Hough transform. In: 2011 fourth international conference on emerging trends in engineering & technology
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Singhal, A., Kumar, S. (2023). Mobile Application on Drowsiness Detection When Driving Car. In: Mishra, B., Tiwari, M. (eds) VLSI, Microwave and Wireless Technologies. Lecture Notes in Electrical Engineering, vol 877. Springer, Singapore. https://doi.org/10.1007/978-981-19-0312-0_34
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DOI: https://doi.org/10.1007/978-981-19-0312-0_34
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