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Road Damage Detection and Health Report Generation​

Thesis Info

Author

Muhammad Salman Abbasi

Institute

Habib University

Institute Type

Private

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Engineering

Language

English

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724380898

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The aim is to automate the process of manual health inspection and report generation of roads in Karachi. A device attached to a moving vehicle that captures geo tagged images of the road and sends them to the cloud. The data is passed through a Convolutional Neural Network based detector that detects and classifies the road damage into five categories (i.e. line cracks, potholes, alligator cracks, raveling and no damage). After the damages are detected, they are displayed on a map. A GUI is created that allows report generation of a selected road. It also gives the road priority for repair based on the area selected. ​
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