This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades.

Damage mapping with deep learning on satellite data

SimpleNet: A Simple Network for Image Anomaly Detection and Localization

React and React-Native SDK for integrating the Monk damage detection workflows into your apps.

Prototype MH:W companion app for Linux, inspired by SmartHunter

Building Inspection Toolkit

Deep learning based vehicle damage detection solution. This repository is linked to the web application which is integrated with the mentioned system.

Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.

Deep Learning for Structural Health monitoring

This repo contains datasets, papers and other information related to Destruction Detection in Satellite Imagery.

HierMUD: a Hierarchical Multi-task Unsupervised Domain adaptation framework

Domain Knowledge based data augementation for Structural Health Monitoring

Interactive Defect Quantification through Extended Reality

Toolkit for xView2 Challenge: Assessing Building Damage caused by Natural Disasters

AI Assisted Infrastructure Inspection using Mixed Reality

We're trying to make a full-featured automatic vehicle damage detection system.

It will detect the damage done to the car and classify into MINOR, MODERATE and SEVERE

ADELE is a dataset of vibration in a beam that exhibits nonlinear behavior even in the healthy condition, and it is exposed to a type of damage that causes the structure to display a nonlinear behavior with a different nature than the initial one. This experiment was conducted by the SHM lab at the University of California San Diego with collabo…

Variational Autoencoders for Out-of-Distribution Detection

Web application of car damage detector