Revolutionizing Real-Time Remote Damage and Injury Monitoring (An AI-Powered System Using Conductive Ink Technology, 2 Year Study)

There is a growing need for reliable and efficient methods to detect and monitor damage and injury in various industries, such as building and industrial equipment inspection, aerospace, automotive, and injury assessment in high-risk professions as prompt remediation is important to enable the resolution of minor issues before they escalate.  The current method of damage and injury monitoring relies on manual inspections, which are often time-consuming, expensive, and prone to human error. Additionally, traditional damage detection technologies such as ultrasound, X-ray, and other imaging techniques can only provide limited information and are often not suitable for real-time monitoring in harsh or hazardous environments. To address these limitations and meet the growing demand for efficient and reliable damage and injury monitoring, a new solution is needed.

 

The objective of this project is to design and develop a real-time remote damage and injury monitoring system that can detect and identify mechanical, impact, and thermal damages in commonly used structural materials for which timely resolution of defects is crucial.