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Supercomputing Challenge

Artificial Eye

Team: 10

School: ALBUQUERQUE ACADEMY

Area of Science: Artificial Intelligence


Proposal:
Problem
The problem our team is trying to solve is teaching a computer to recognize and learn symbols, patterns, and objects through sight (camera).

Purpose
Our team is attempting to create a system that will be able to recognize symbols, patterns, and objects through the examination and analysis of visual data via a camera(s). This project will be important because robotic vision, a key component of Artificial Intelligence, has many vital real life applications such as: recognizing threats in crowded environments such as airports, assisting troops in times of war by delivering supplies or patrolling areas too dangerous for humans, and even things as docile as assisting the elderly and blind in the home environment and driving on high-speed roadways.

Procedure
First, we will research previous methods and attempts at the basic concepts behind robotic vision. After researching these methods, we will write a series of programs that will cover the basic aspects of robotic vision. The first of these programs will likely be to simply remove background “noise” and find edges in a picture. Next, we will cover points such as shape recognition and memorization. After which we will focus on pattern recognition and, time allowing, 3-Dimensional vision. Finally we will incorporate color vision into all previously mentioned aspects.

The Programming language that we will use for this project is Visual Basic.

Team Members:
Wesley Smalls
Nick Longenbaugh
Jason Komets


Team Members:

  Wesley Smalls
  Nick Longenbaugh

Sponsoring Teacher: Jim Mims

Mail the entire Team