Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3357
Title: Automated vehicle insurance claims processing using computer vision, natural language processing
Authors: Fernando, N
Kumarage, A
Thiyaganathan, V
Hillary, R
Abeywardhana, L
Keywords: Automated vehicle insurance
vehicle insurance claims
processing
computer vision
natural language
insurance claims processing
Issue Date: 30-Nov-2022
Publisher: IEEE
Citation: N. Fernando, A. Kumarage, V. Thiyaganathan, R. Hillary and L. Abeywardhana, "Automated vehicle insurance claims processing using computer vision, natural language processing," 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 2022, pp. 124-129, doi: 10.1109/ICTer58063.2022.10024089.
Series/Report no.: 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer);
Abstract: Traditional insurance claims processing systems are no match for the modern world due to the increasing population of vehicles and the resulting number of accidents. In this paper, the authors present a novel idea to automate the tedious processes in the insurance industry. The presented system consists of three main components namely, re-identify the make and model of the vehicle, identify the damaged automobile component, type, and severity, and compute an accurate repair estimate using damage component identification. Also, automate the documentation process by identifying the relevant fields in the voice input provided by the user. This ensures both the parties involved in this process will be benefited from the proposed system. Presented solutions Were designed using the aid of Artificial Intelligence techniques, mainly CNN models and Natural language processing techniques.
URI: https://rda.sliit.lk/handle/123456789/3357
ISSN: 979-8-3503-4613-8
Appears in Collections:Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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