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Deep-Learning Applications in Car Damage Detection

In: DIGITAL STRATEGIES AND ORGANIZATIONAL TRANSFORMATION

Author

Listed:
  • Tanush Sharanarthi
  • Shreyas Iyer
  • Hsueh-Yao Lu
  • Xiaoyue Li

Abstract

This chapter proposes a car damage detection model using Convolutional Neural Networks. The automobile industry can utilize cameras to catch the defects in vehicles and provide better-quality inspection than manual methods. AI-based machines using computer vision will help make the entire supply chain process more efficient and reliable. The proposed model uses the VGG-16 Convolutional Neural Network that is optimized to provide the best accuracy and minimal loss. The model is trained and validated with a dataset containing images of vehicles that have no defects and ones that are damaged. Results show the potential of such a model being widely used in the industry since it can accurately detect damages for a diverse set of vehicles.

Suggested Citation

  • Tanush Sharanarthi & Shreyas Iyer & Hsueh-Yao Lu & Xiaoyue Li, 2023. "Deep-Learning Applications in Car Damage Detection," World Scientific Book Chapters, in: G Reza Djavanshir (ed.), DIGITAL STRATEGIES AND ORGANIZATIONAL TRANSFORMATION, chapter 12, pages 223-238, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811271984_0012
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    Keywords

    Digital Technology; Digital Strategy; Information Systems; Information Technology; Organizational Changes; Internet of Things (IoT); Cloud Computing; Institutions; Innovation; Artificial Intelligence; Big Data; Data Analytics; Deep Learning; Machine Learning; Cybersecurity; Manufacturing and Production; Enterprise Architecture;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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