Hi. I building a laser shooting target. A photodiode detects the shot by its modulation, and a camera detects its position (during the 15ms it is on). Since im new to C++ and OpenCV, I just thought it would be better to ask for the ideal and simpler way to do my detection algorithm.
To begin with, the target is 17 cm by 17 cm, in which it has 10 rings, (from 1 to 11) and requires a precision of a tenth of ring. If I record at 60fps it should be fast enough (~16ms per frame), but is 320240 enough (~2pixels per tenth of ring)? Does 640480 become a bottleneck to my RPi (v2) ? (~4 pixels per tenth of ring)?
As an algorithm Im thinking about making a binary image to find the black contour of the target, by looking up the highest point, the lowest, sides, and making it an elipse. After calculating which zone is which value, begin recording a binary image looking for bright red spots. Whenever one is detected and the photodiode confirms, calculate its position.
Its this the correct, most efficient procedure that an amateur can do? Is 60 fps guaranteed not to miss the shots? (can 90fps be avoided)
Side question: The red looks "redish" in the camera. Is there any proper way to calibrate colors like there is to calibrate distortion (cheeseboard trick)?
Thanks
