Difference between revisions of "CV Chess"

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Powerpoint: https://drive.google.com/open?id=1YedAReM6O2aCmyuhbexrzyZo2OzDirnc
 
Powerpoint: https://drive.google.com/open?id=1YedAReM6O2aCmyuhbexrzyZo2OzDirnc
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Demo day powerpoint(rough draft): https://drive.google.com/file/d/1Bia1HT9QYs1-1q9sQBzvP3-1uzONgBiM/view?usp=sharing
  
 
== Team Members ==
 
== Team Members ==

Revision as of 03:38, 27 November 2018

Link to weekly log

This is the page for the CV Chess project.

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.

Powerpoint: https://drive.google.com/open?id=1YedAReM6O2aCmyuhbexrzyZo2OzDirnc

Demo day powerpoint(rough draft): https://drive.google.com/file/d/1Bia1HT9QYs1-1q9sQBzvP3-1uzONgBiM/view?usp=sharing

Team Members

Robert Goodloe
Nhut Dang
TA: Ethan Shry
Instructor: Prof. Jim Feher

Objectives

  1. Use OpenCV software to recognize chess board.
  2. Use OpenCV software to recognize the chess pieces.
  3. Use OpenCV software to recognize the movement of the pieces.
  4. Transcribe game of chess and present in user-friendly fashion.
  5. 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

  1. Limited knowledge of Raspberry Pi
  2. Zero knowledge using OpenCV or any computer vision software
  3. Have been told that nobody has gotten OpenCV compiled and running in ESE 205 despite several attempts
  4. Using object recognition to differentiate between similar pieces i.e. bishop versus pawn
  5. testing

Gantt Chart

GanttCVChessFinal.PNG

Budget

Item needed Unit Price Total(max) Description Link
Chessboard 1 9.76 9.76 wood https://www.amazon.com/Yellow-Mountain-Imports-Magnetic-Travel/dp/B0019FATKG/ref=sr_1_10?s=toys-and-games&ie=UTF8&qid=1538161920&sr=1-10&keywords=chess+set
color dot(optional) 1 9.99 9.99 may needed if we are going to color code the chessboard's pieces. https://www.amazon.com/gp/aw/d/B06X6LT9G9/ref=sspa_mw_detail_4?ie=UTF8&psc=1
Pi touchscreen (optional) 1 79.95+tax+ship 79.95+tax+ship may needed if we are going to color code the chessboard's pieces. https://www.amazon.com/gp/aw/d/B06X6LT9G9/ref=sspa_mw_detail_4?ie=UTF8&psc=1
tripod 1 free free for mounting https://www.thingiverse.com/thing:2348881
Plexiglass(optional) 1 12 12 clear board https://www.amazon.com/MIFFLIN-Plexiglass-Transparent-Acrylic-Plastic/dp/B076VR7D9C/ref=sr_1_28?s=office-products&ie=UTF8&qid=1538162741&sr=1-28&keywords=clear%2Bglass&th=1
111.7

References

https://www.pyimagesearch.com/2018/04/09/how-to-quickly-build-a-deep-learning-image-dataset/

https://web.stanford.edu/class/cs231a/prev_projects_2016/CS_231A_Final_Report.pdf

https://www.pyimagesearch.com/2017/09/04/raspbian-stretch-install-opencv-3-python-on-your-raspberry-pi

https://www.pyimagesearch.com/2018/04/16/keras-and-convolutional-neural-networks-cnns/

https://www.pyimagesearch.com/2017/10/02/deep-learning-on-the-raspberry-pi-with-opencv/

https://www.pyimagesearch.com/2017/06/19/image-difference-with-opencv-and-python/

Open CV

Corner

(Fast) https://www.edwardrosten.com/work/fast.html

https://www.meccanismocomplesso.org/en/opencv-python-harris-corner-detection-un-metodo-per-rilevare-i-vertici-in-unimmagine/


Lines
https://stackoverflow.com/questions/45322630/how-to-detect-lines-in-opencv

https://docs.opencv.org/3.4.0/d9/db0/tutorial_hough_lines.html

https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_imgproc/py_houghlines/py_houghlines.html