Title

Mobile Camera Sensor Networks for Structural Health Monitoring

Presenter Information

Levi Malott

Department

Computer Science

Major

Computer Science

Research Advisor

Chellappan, Sriram
Adekpedjou, Akim

Advisor's Department

Mathematics and Statistics

Second Advisor's Department

Computer Science

Funding Source

Missouri S&T Opportunities for Undergraduate Research Experiences (OURE) Program

Abstract

Structural health monitoring is a very actively researched field for structural engineers. Structural health monitoring (SHM) is performed by constantly monitoring structure related parameters. The constantly monitored data can be analyzed statistically to build models which would be used to predict structural failures. The aim of this research is to make similar predictions on structural health using a mobile agent with a variety of sensors mounted. The core idea is to reduce the number of sensors by using mobility. Two prototypes have been design and tested using LabRats, Gumstix, Logitech video cameras and Xbee radio modules. Future work includes optimizing routing protocols for multi-hop video transmission and adding more autonomy.

Biography

Levi graduated from Pilot Grove High School and is now attending Missouri University of Science and Technology. He is majoring in Computer Science and wants to work in Computer Security.

Research Category

Engineering

Presentation Type

Oral Presentation

Document Type

Presentation

Location

Carver Room

Presentation Date

10 Apr 2012, 10:00 am - 10:30 am

Comments

Joint project with Abhinav Saxena

Third advisor: Zawodniok, Maciej Jan, 1975-, Electrical and Computer Engineering

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Apr 10th, 10:00 AM Apr 10th, 10:30 AM

Mobile Camera Sensor Networks for Structural Health Monitoring

Carver Room

Structural health monitoring is a very actively researched field for structural engineers. Structural health monitoring (SHM) is performed by constantly monitoring structure related parameters. The constantly monitored data can be analyzed statistically to build models which would be used to predict structural failures. The aim of this research is to make similar predictions on structural health using a mobile agent with a variety of sensors mounted. The core idea is to reduce the number of sensors by using mobility. Two prototypes have been design and tested using LabRats, Gumstix, Logitech video cameras and Xbee radio modules. Future work includes optimizing routing protocols for multi-hop video transmission and adding more autonomy.