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339922

CES: Cost Estimation System for Enhancing the Processing of Car Insurance Claims

Article

Last updated: 03 Jan 2025

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Abstract

Damage assessment is crucial in determining insurance reimbursements in the car insurance industry. However, manual inspection is time-consuming and financially costly. Artificial Intelligence (AI) offers a promising automatic damage assessment solution; we propose a Cost Estimation System (CES) for car damage volume level recognition and cost estimation. CES extracts damage estimates from mobile imagery data and combines them with structured customer data to generate accurate cost estimates for insurance purposes. This paper adopts the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology to develop a robust and systematic model. Leveraging AI technology such as the (You Only Look Once) YOLO model and Transformers in image classification while expediting the claims process and mitigating fraud risk. Evaluating CES performance indicates the ability to accurately identify and locate damaged regions in car images, with an average precision of 78.50%, an average recall of 70.24%, and a mean Average Precision (mAP) of 0.66. Resulting in satisfactory performance from the curated dataset of 2508 car photos, which is classified by car body parts, and their inspected damage parts for enhancing cost estimation, productivity, accuracy, and time savings.

DOI

10.21608/jocc.2024.339922

Keywords

artificial intelligence, Deep learning, Car Insurance, Cost Estimation, CRISP-DM

Authors

First Name

Ahmed

Last Name

Elbhrawy

MiddleName

Shawky

Affiliation

Business Information System Department, Faculty of Commerce and Business Administration, Helwan University, Cairo, Egypt

Email

ahmed.shawky21@commerce.helwan.edu.eg

City

-

Orcid

-

First Name

Mohamed

Last Name

Belal

MiddleName

AbdelFattah

Affiliation

Professor, Computer Science Department Faculty of Computers and Artificial Intelligence Helwan University Cairo, Egypt

Email

belal@fci.helwan.edu.eg

City

-

Orcid

-

First Name

mohamed

Last Name

Hassanein

MiddleName

Sameh

Affiliation

Integrated Thebes Institutes for Computing & Management Science Cairo, Egypt

Email

mohamed.sameh@thebes.edu.eg

City

-

Orcid

-

Volume

3

Article Issue

1

Related Issue

45956

Issue Date

2024-01-01

Receive Date

2023-12-16

Publish Date

2024-01-31

Page Start

55

Page End

69

Online ISSN

2636-3577

Article File

JOCC_Volume 3_Issue 1_Pages 55-69.pdf

PDF . 787.8kB

Link

https://jocc.journals.ekb.eg/article_339922.html

Detail API

https://jocc.journals.ekb.eg/service?article_code=339922

Order

5

Type

Original Article

Type Code

731

Publication Type

Journal

Publication Title

Journal of Computing and Communication

Publication Link

https://jocc.journals.ekb.eg/

MainTitle

CES: Cost Estimation System for Enhancing the Processing of Car Insurance Claims

Details

Type

Article

Created At

24 Dec 2024