Enhancing DVIR with AI-Powered Defect Tracking and Management

Authors

  • Sahil Nyati Director Engineering, Maven Machines, USA Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)207

Keywords:

Digital Vehicle Inspection Report (DVIR), artificial intelligence (AI), tracking

Abstract

This research paper proposes an enhanced Digital Vehicle Inspection Report (DVIR) system that leverages artificial intelligence (AI) to revolutionize defect tracking and management in fleet operations. The system aims to support associating and tracking defects on a per-asset basis and individually handling these defects with advanced AI capabilities.

Author Biography

  • Sahil Nyati, Director Engineering, Maven Machines, USA

    Sahil Nyati, Director Engineering, Maven Machines, USA.

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Published

2022-05-27

Issue

Vol. 1 No. 2 (2022): Volume 1 Issue 2

Section

Articles

License

Copyright (c) 2022 Journal of Artificial Intelligence & Cloud Computing

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Enhancing DVIR with AI-Powered Defect Tracking and Management. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(2), 1-4. https://doi.org/10.47363/JAICC/2022(1)207

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