# Submissions for: Deep Learning for UAV Infrastructure Inspection
|#| Submission | Links |
|-|-|-------------------------------------------|
|1|[Deep Learning for UAV Road Crack Detection](https://github.com/karthickai/Deep_Learning_for_UAV_Infrastructure_Inspection)
This project implements UAV-based road crack and hole detection using a YOLOv2 deep learning model, processing live video streams within a photorealistic Simulink simulation integrated with Unreal Engine.
**Authors:** Karthick Pannerselvam
**Affiliation:** Veltech University
**Submission Date:** 2021-12-08|![]()
[](https://github.com/karthickai/Deep_Learning_for_UAV_Infrastructure_Inspection)
[](https://matlab.mathworks.com/open/github/v1?repo=karthickai/Deep_Learning_for_UAV_Infrastructure_Inspection)
[](https://www.youtube.com/watch?v=fIChAhNW8VY&list=PLn8PRpmsu08ogRonqegcx8xJCSSQO5yVX&index=5)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Computer%20Vision.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Artificial%20Intelligence.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|