Table of Contents
1. Motivation
2. Software diagram / implementation
3. Hardware
4. Integration
5. Tests
6. Problems
7.. Result
Motivation
Rust is an iron oxide, a usually red oxide formed by the redox reaction of iron and oxygen in the presence of water or air moisture.Rusting is the common term for corrosion of iron and its alloys, such as steel. Many other metals undergo similar corrosion, but the resulting oxides are not commonly called rust.
Cost of corrosion in the infrastructure Industry
A study conducted from 1999 to 2001 shows that a total of $276 billion is spent on corrosion-related issues in commercial, residential and transportation sectors. This cost is approximately 3% of the U.S GDP in the year 1998 (U.S GDP in 1998 was $9.09 trillion). 
E.g.
Some of the effects of corrosion include a significant deterioration of structural and architectural elements as well as increase the risk of catastrophic equipment failures.
Idea
Hardware
Integration
Concept
Software diagram Point Cloud generation / Segmentation
Geometrical Segmentation Rust Hotspots
Construction Site Rust Detection
Software diagram Mission Planner
Structural Inspection Path Planning
Explanation
Mission Planner Preparation
Pointcloud – Mesh – Octomap
Element – Pointcloud – Uniform Mesh
Software
Drone controller
Drone position control
Drone Position Control
Experiment 1
Experiment 2
Neural Network – Rust Detection –
Binary CNN
Localization
Region-based Segmentation Using pixel values -threshold Segmentation
Semantic Segmentation
Image Slicing
Neural Network
Localisation – Pointcloud
Segmentation
Construction Site Rust Detection
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Blossomrust is a project of IaaC, Institute for Advanced Architecture of Catalonia developed at Masters of Robotics and Advanced Construction in 2019-2020 by Students: Cedric Droogmans, Luis Jayme Buerba, Abdelrahman Koura & Alexandros Varvantakis, Faculty: Carlos Rizzo & Soroush Garivani.