Computer Vision For The Blind
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Project Infomation

Project Summary(Abstract):
In this project a system of trajectory tracking through optical and inertial sensors is proposed and implemented. Features points representing the key objects seen by the camera are extracted to angles and used to correlate the cameras position in a map of a building. This information can then be used in a navigational system to assist blind persons in travelling through indoor environments.

Grade Category: 10-12
Team Size: 1 member
Subject Area: Engineering/Computer Science
Project Type: 
Descriptive Type III (Engineering)
Language: English


Software Tools: 

NVU
Adobe Photoshop CS2 
Microsoft Office
MatLab
Alias Maya

Hardware Tools:
Microsoft Windows Vista Computer
Insignia High Definition SD Memory Camcorder
NewMark NSC-1 Series Controller
NewMark Turntable
 


Source for Idea:
In 2002 there were more than 37 million persons worldwide. As these numbers continue to grow there is more impetus for having better navigational tools to help these people. This project discusses a design which could be used to help these people navigate through indoor environments. 

Special Skills:

  • Website:
    • HyperText Markup Language (HTML)
    • Cascading Style Sheets (CSS)
  • Project:
    • Knowledge of Matlab
    • Knowledge of Maya
    • Software Debugging
    • Hardware Calibration
    • Algorithm Design and Testing

Awards Won:

 CYSF 2009.

  • Gold Medal
  • Noel Bourget Award (Auto-Trol)

Previous Canada Wide Virtual Science Fair Projects:
2008 - Generating NURBS Surfaces through 3D Silhouette Scanning - Christopher Nielsen

 

Copyright © Christopher Nielsen, 2009. All rights reserved.
Contact: collectorchris@shaw.ca

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