Cloud, IoT and Mobile Based Conceptual Framework on Accident Avoidance System

dc.contributor.authorKaripper, R.K.A.R.
dc.contributor.authorShail Razeeth, M.S.
dc.date.accessioned2020-12-31T09:41:49Z
dc.date.available2020-12-31T09:41:49Z
dc.date.issued2020
dc.description.abstractAccidents are unexpected incidents that result in injuries spanning from minor to major level; some time extend to death. The accidents mostly affect human life at different levels, and the worst cases cannot be resettable. Unnecessary injuries and cruel subsequent can be protectable. Accidents can occur due to sleep while driving, mobile use, alcohol consumption and violating road rules. A technological solution is needed that addresses emerging trends and overcomes all challenges. Cloud computing technology overcomes most problems facing traditional technology. It avoids unnecessary physical server costs, storage, initial investment, and maintenance issues. IoT technology provides high-tech solutions by monitoring and observing objects in real-time via sensors. The identified applications of all three technologies are smart-campus, smart-transport and smart-city. This study aims to propose a conceptual architecture, built with an Accident Avoidant layer and is fully coping with preventing accidents by unwanted issues. The Arduino Mega microcontroller is the regulator of this system. When the driver enters the vehicle, the system examines whether or not the driver is drunk. It checks heart rate, texting while driving, speed of the vehicle and safer distance between vehicles. If the sensor detects a heart attack, it stops the vehicle. Working with IoT is a better and easy solution in the current trend with the necessary solutions. Most previous studies have failed to incorporate the range of solutions that this study suggested. When this structural model is established, the end-user can undoubtedly get substantial benefits instantlyen_US
dc.identifier.citationSolid State Technology,63(6);13306-13325.en_US
dc.identifier.issn0038-111X
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/5162
dc.publisherPennWell Publishing Coen_US
dc.subjectIoTen_US
dc.subjectMobile Applicationen_US
dc.subjectaccident avoidance layeren_US
dc.subjectmicro controlleren_US
dc.titleCloud, IoT and Mobile Based Conceptual Framework on Accident Avoidance Systemen_US
dc.typeArticleen_US

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