darts_cv
An automated scoring system for darts using two raspberry Pi's with pi cameras and OpenCV.
Included is a basic implementation of X01 and a implementation of cricket is in progress. Other games may be added in the future.
This method uses two raspberry pi's each with a pi camera. Two usb webcams could also be used and this would probably allow a single Pi to be used with some modification of the code.
This is still a work in progress and will likely not work as is. There are many areas that still need work including the segmentation and detection for the impact point of the darts.
Requirements
Raspberry Pi x2 with Pi cameras or webcams
Python
OpenCV
Qt5
numpy
skimage
paramiko
pickle
Installation
Install the requirements.
Move camera_1 folder to first Raspberry Pi and camera_2 folder to the second one.
Assign fixed ip addresses to each raspberry pi.
Update the TCP_IP and TCP_PORT parameters in camera_streams.py with the correct details.
Connect to the first Raspberry Pi via ssh using the -X flag. (At the moment an SSH connection is used to the first Raspberry Pi with X11 forwarding enabled to show the UI on the computer. In the future I hope to use a screen connected to the Raspberry Pi and control everything from there without the need for an extra pc.)
Use python start_window.py from the camera_1 folder to start the UI.
TODO
This is not an exhaustive list, just the main things.
Improve dart detection and segmentation
Adjusting for dart impact angle
More robust calibration
Complete cricket implementation