I’m working on a project to create an automatic dart scoring system using three cameras placed around the dartboard (top, right, left), similar to Autodarts.io.
Now I want to develop a similar project, but I’m unsure about the steps to take I’m a beginner with OpenCV and computer vision. I have done some research on working with multiple cameras and real-time object detection. I have also seen some similar projects to mine but can’t figure out the order of steps to achieve a working solution for detecting a dart and mapping it to the score on the dartboard.
Should I start by detecting dartboard itself or focus on detecting the darts and how should I process the video feeds from all 3 cameras, separately, or should they work together as one system
I’ve already started with camera calibration using a chessboard pattern and now I’m looking at stereo calibration, but I’m not sure if I’m on the right track. If anyone can guide me in the right direction of order of steps i should follow i would greatly appreciate that
I would appreciate if someone can guide me with the order of steps on how to proceed with this project.
Any help and info would be greatly appreciated!