I'm working on various methods to count objects on conveyor belt using camera feed. Methods used:
- OpenCV Background subtraction
- OpenCV Color Tracking of objects in the video
The main issue faced is that even with a small change in the environmental conditions affects the detection of objects and sometimes misses the object completely. Envronmental conditions include light conditions when there is too much brightness or too much dark.
Please suggest any improvement or any other methods to solve this issue Also trying the tensorflow object detection model to detect the object. I want to have 100% accuracy in object counting in any condition