Accident and Damage Detection: Identifying
and Categorizing Involved Vehicles
-we learn to serve
Group Member:
190204092
190204104
190204105
190104052
– Md. Habibun Nabi
– Tasnim Munawar Rafee
– Md. Symum Hossain
– Hasan Rafsanzani
Introduction:
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- Damage Detect

- Damage Classify

- Fatality Occurring Chances

- Immediate Support System Based on Situations
Literature Review:

CarDD: A new dataset for vision-based car damage detection

Convolutional Neural Networks for Vehicle Damage Detection

Machine Learning Based Car Damage

Car Damage Dectection Using Computer Vision
Methodology:
Processed Dataset and Modification:
MODEL Processing:

CNN (Convolutional Neural Network)

YOLOv8
Result Analysis:
CNN Performed very efficiently over YOLOv8
Conclusion:

Detect Damage and Fatality Chances

Immediate Support System

Socially Impact

Usefulness