Difference between revisions of "CV Chess"
Jump to navigation
Jump to search
| Line 4: | Line 4: | ||
== Project Overview == | == Project Overview == | ||
| − | This project aims to use a camera, a raspberry pi, and computer vision software to recognize the movements of chess pieces in a game of chess. The final product will be able to recognize individual pieces, as well as | + | This project aims to use a camera, a raspberry pi, and computer vision software to recognize the movements of chess pieces in a game of chess. The final product will be able to recognize individual pieces, as well as determine the change in positions (squares) they occupy. This will ultimately yield a project that can verify valid moves, transcribe games, and perhaps implement an AI to act as an opponent of a lone player. |
| − | determine the change in positions (squares) they occupy. This will ultimately yield a project that can verify valid moves, transcribe games, and perhaps implement an AI to act as an opponent of a lone player. | ||
| − | |||
== Team Members == | == Team Members == | ||
Revision as of 20:27, 26 September 2018
This is the page for the CV Chess project.
Contents
Project Overview
This project aims to use a camera, a raspberry pi, and computer vision software to recognize the movements of chess pieces in a game of chess. The final product will be able to recognize individual pieces, as well as determine the change in positions (squares) they occupy. This will ultimately yield a project that can verify valid moves, transcribe games, and perhaps implement an AI to act as an opponent of a lone player.
Team Members
Robert Goodloe
Nhut Dang
TA: Ethan Shry
Instructor: Prof. Jim Feher
Objectives
- Use OpenCV software to recognize chess board.
- Use OpenCV software to recognize the chess pieces.
- Use OpenCV software to recognize the movement of the pieces.
- Transcribe game of chess and present in user-friendly fashion.
Potential Objectives
- Add an AI component that responds to a users movements. It would display a move which the user must execute on behalf of the AI.
Challenges
- Limited knowledge of Raspberry Pi
- Zero knowledge using OpenCV or any computer vision software
- Have been told that nobody has gotten OpenCV compiled and running in ESE 205 despite several attempts
- Using object recognition to differentiate between similar pieces i.e. bishop versus pawn
- testing
Gantt Chart
Budget
| Item needed | Unit | Price | Total(max) | Description |
|---|---|---|---|---|
| Chessboard | 1 | ≤ 50 | 50 | glass or wood |
| tripod | 1 | ≤ 30 | 30 | buy a tripod or 3Dprint ourselves, which is "free" |
| color dot(optional) | 1 | ≤ 10 | 10 | may needed if we are going to color code the chessboard's pieces. |
| 90 |
