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      Design and implementation of road surface monitoring system using camera and global positioning system

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            Abstract

            Road surface type estimation were performed using the periodic snapshots from the camera. Independently, images that are captured would be utilized for detecting potholes. It provides additional information to the road condition estimator thread that is performed in parallel using accelerometer and GPS speed data. After classification, the result together with GPS coordinates were marked on the dashboard map. Every single GPS coordinate together with its predicted road faults of the route travelled is plotted on the map and map the road for subsequent users to know where road anomalies are and where they aren't and could also be used by the governments or any authorised body to prioritise during road repair. It was been concluded that mobile application eradicates all the problems and complications with the existing systems with much better efficiency. The analysis results demonstrated the use of gyroscope, accelerometer, pedometer and magnetometer to compute all the data. Moreover, it is been recommended that the department can make this a project more proficient by supporting the project so that there can be more improvement in terms of the functionality on which the mobile application run.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            20 March 2022
            Affiliations
            [1 ] Department of Computer Science Open and Distance Learning Centre of Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria.
            [2 ] Department of Computer Science and Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
            [3 ] Department of Computer Science and Engineering, Ladoke Akintola University of Technology, Ogbomoso
            Author notes
            Article
            10.14293/S2199-1006.1.SOR-.PPTJ4BN.v1
            73e62f85-c546-4068-85bb-b954f525d967

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Data structures & Algorithms,Information systems & theory,General computer science
            Anomaly Detection,Road Surface Quality,Road Surfacing Monitoring (RSM),GPS

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