Page 543 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

2 Use Case Description

2�1 Description 4.5: Manufacturing

Problem Statement

Manual inspection of concrete structures is labor-intensive, time-consuming, and prone to
inaccuracies. Traditional methods often involve destructive testing, delayed reporting, and
reactive maintenance, which compromises structural safety and increases operational costs.

Objectives

Main objective

Develop an AI-powered, non-destructive system to assess concrete health and moisture in
real-time.

Specific objective

Using sensor array subsystem for obtaining signal
Edge Computing for integrating both Preprocessing and Health Index Calculation.

Also using AI inference for Crack Detection and Moisture Regression.

Deliver actionable insights via cloud dashboards accessible through mobile platforms.

The diagram below illustrates the working of the use case

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