This paper gives insights on identification and feature extraction of vehicle damage caused by numerous obstacles and other impending cars. In the past, automotive specialists mostly used physical examinations to find automobile defects and scratches. This procedure entailed visually inspecting the whole vehicle’s surface under lighting conditions to find flaws. These systems can analyse enormous volumes of data quickly and find flaws with higher precision and consistency by utilising the power of computer vision. We used Yolov8 architecture to identify the dents and scratches of vehicles and achieved an mean average precision of 0.579 with threshold value of 0.5.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dent and Scratch Detection using Computer Vision


    Contributors:
    Raju, Manu (author) / S, Goutham (author) / S, Dhanushya (author)


    Publication date :

    2023-12-09


    Size :

    670101 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vehicle Scratch and Dent Prevention Device

    KLEIN WILMA | European Patent Office | 2024

    Free access

    Vehicle Door Dent, Ding and Scratch Protector and Protective Device

    WHEELER ROBERT CHARLES | European Patent Office | 2015

    Free access

    REMOVABLE ROAD VEHICLE COVERS AND MOULDINGS FOR DENT AND SCRATCH PROTECTION

    AGAMALIS PETER | European Patent Office | 2022

    Free access

    Dent Preventer

    NICHOLSON JOYCE ANN | European Patent Office | 2021

    Free access

    Dent Defender

    GOOSEN JUSTIN | European Patent Office | 2018

    Free access