Structural Damage Detector

Industry: General purpose

Overview

Real world damage detection from videos/photographs of Infrastructure undergoing construction or structural strength survey or maintenance survey. Manual surveys are prone to corruption & human error which has resulted in huge losses. With much accurate & faster eyes of computer & advancements in devices help us get more detailed data & in a result generate better predictions with better accuracy.

Technology

Deep Learning
Neural Networks
Computer Vision
Image Processing

Language

Python

Key Technical Challenges:

Working with all types of damages like glass breakage, doors slammed, dents, scratches to name a few.
Creating clustered environment for training due to huge processing time taken by image kind of data
Real time inference in mobile as well as web application.
Should work with any kind of background.