Building an AI-Powered Road Inspection System in Glasgow, Scotland Using Computer Vision
Challenge Background
The maintenance of road infrastructure is crucial for ensuring safe and efficient transportation systems. However, traditional manual inspection methods for identifying road defects, such as cracks and potholes, are time-consuming, resource-intensive, and prone to errors. To address this challenge, the objective of this project is to develop an AI-driven system for automated road defect detection and maintenance. By leveraging computer vision and machine learning, the aim is to train a model capable of accurately detecting and classifying various types of road defects from image or video data.
Implementing this AI-powered system will streamline road inspection processes, enabling efficient identification of road defects and prioritization of maintenance efforts
The Problem
This project aims to investigate the ability of various machine learning classifiers to detect road defects with the highest possible accuracy and build a dashboard to visualize detected road defects. The goal is to automate the inspection process to reduce time and effort for better efficiency.
Goal of the Project
Our objective is to train a robust image classification model. This model will accurately identify and classify concrete images to determine the presence or absence of cracks.
Project Timeline
– Research – Data Pre-Processing
– Prepare/ Explore ML approaches
– Explore the pre-trained network and ML models
– Classifier training and validation Performing transfer learning
– System testing and accuracy reporting 4.2 Building Dashboard to visualize the output/ Deployment
– Generate final report and recommendation/ Evaluate Model accuracy
What you'll learn
EDA (Exploratory Data Analysis), Image Classfier, AI. Data Visualization. Python
First Omdena Local Chapter Project?
Beginner-friendly, but also welcomes experts
Education-focused
Duration: 4 to 8 weeks
Open-source
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form
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