Counting scores for dart with image recognition Raspberry pi cam in a case with a couple of push-buttons connected to the PI-io

Tactics: BoardArray with 'perfect' dartboard Board with a skewed image of the actual dartboard, from upper perspective. Make transform matrix to calculate perspective of image to fit BoardArray Find where the transformed board-picture is covered when image change Calculate score for covered region....

All logic in raspberrypi Images sent to jpg-streamer to be picked up by any webbrowser

Prereqs: A working raspberrypi with cam

Cameramountingstate: Streams the camera images to the jpg-streamer with an overlay indication where to have bulls-eye to manage calibration

Calibratestate: Runs camera calibration and calculate all sectors on dartboard, saves this as a ??? (dictionary, bitmap, array)

Playstate: Constantly overlooking board and reacts on changes when dart hits board. No other userinteraction is needed.

MainLoop is engine and master for changing states Inputs from push-buttons decides when player is done with mounting etc and ready to play