Vehicle Damage Level Estimator For Claiming Insurance Using AI

Registration ID: IJNRD_219012

Published ID: IJNRD2404564

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Sneha M, Velmurugam M, Shabikha Fiza I, Shobika Sri S, Umamaheshwari P

Damage Detection, Artificial Intelligence, Deep Learning, Convolutional Neural Network, Prediction

At present, under the guidance of the new generation of information technology, the rapid accumulation of data, the continuous improvement of computing power, the continuous optimization of algorithm models, and the rapid rise of multi-scene applications have made profound changes in the development environment of artificial intelligence. Following a car accident, an insurance company must assess the level of damage to each vehicle to decide on the compensation paid to the insurance customer. This assessment is usually performed by manual inspection, which is costly and time-consuming. Automatic car damage assessment using image data is an under-addressed problem highly relevant to the insurance industry. There are many ways to claim insurance for the damaged vehicle but it may not be accurate all the time and it also takes long time for processing and providing insurance and detect the cost for the only given dataset. The claiming process will take long time. Only able to predict the cost for the damage. Based on the demand of automobile insurance claims and intelligent transportation, combined with abundant basic data and advanced machine vision algorithm, an intelligent damage determination system of ‘Artificial Intelligence + Vehicle Insurance’ is constructed. This system is used for detecting the exact cost for the damage occurred in an accident so it is helpful to avoid loss of cost for the insurance companies. Gathering data from the user and predicting the exact damage that have occurred . We solve this problem using Convolutional Neural Network (CNN) algorithm using Open Source Computer Vision Library (Open CV) and deep learning which are mainly used for image processing, video capture and analysis with Python Flask framework. This project first introduces the functions of the intelligent damage assessment system. Secondly, it discusses the realization path of each functional module in detail, and finally puts forward the vision for the future.

Published Paper   E-Certificate

Sneha M, Velmurugam M, Shabikha Fiza I, Shobika Sri S, & Umamaheshwari P (April-2024). Vehicle Damage Level Estimator For Claiming Insurance Using AI. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f523-f528. https://ijnrd.org/papers/IJNRD2404564.pdf

Volume 9 Issue 4, April-2024

Pages : f523-f528

Paper Reg. ID: IJNRD_219012

Published Paper Id: IJNRD2404564

Research Area: Electronics & Communication Engg. 

Author Type: Indian Author

Country: Coimbatore, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404564.pdf

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