Hello, I have been working with CUDA for half a year. My aim is, to optimize relatively easy algorithm which is searching for regions in the grayscale image (8bpp). These regions I am searching for contain pixels with brightness level higher than some threshold (some value). This is all I need.
This algorithm is used for real-time detection of defects in fabric (textile), while the fabric is produced. Basically, I receive 200 000 frames per second (i’ve got 200kHz kamera) from industrial cameras on the input. Each frame has resolution 11kpix what makes 2.2GB/s of data (in form of images). Every image has to be processed by the algorithm mentioned above.
Please could you let me know, which NVIDIA GPUs would you recommend me for this purpouse? It’s kind of easy data processing but extremely time limited? Thank you very much for your opinions.
Have a nice day.