REAL-TIME ACCIDENT ALERT SYSTEM

creativework.keywordsroad safety applications
dc.contributor.advisorTanjila Farah
dc.contributor.authorTamjid Iqbal
dc.contributor.authorBratita Das Bristi
dc.contributor.authorAbdullah Rakib
dc.contributor.id1512198045
dc.contributor.id1520743642
dc.contributor.id1410111042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-07-15
dc.date.accessioned2025-07-15T08:38:29Z
dc.date.available2025-07-15T08:38:29Z
dc.date.issued2021-04-30
dc.description.abstractWith the growing amount of vehicles on the road, the number of fatal crashes resulting in considerable loss of life is also increasing. Various researchers have focused on developing particular road safety applications or crash avoidance programs in order to mitigate such road accidents. Image-processing-based tech is one of the latest road safety applications, but it will only operate effectively if the car is in line-of-sight with the camera and its output in poor weather circumstances involving dense clouds, heavy rain, and so on. As a response, the focus of this paper is on the implementation of a quality sensor-based system that can assist drivers in minimizing some kind of road accident in order to save lives. The main value of our proposed protective measure program is that it will anticipate the occurrence of a collision and, as a result, determine the driver's corrective behaviour and expectations to prevent a collision. Furthermore, our proposed system can be implemented on any existing vehicle and therefore would not necessarily entail the construction of new roadside facilities. The proposed collision avoidance solution is also valuable since it requires an amount of good sensors such as ultrasonic sensor nodes, speed sensors, GPS, Wi-Fi module, and on and on.
dc.identifier.cd600000233
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1269
dc.publisherNorth-south University
dc.rights© NSU Library
dc.titleREAL-TIME ACCIDENT ALERT SYSTEM
dc.typeProject
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