Probably yeah, but the potential of the cloud was much more appealing to me. Detecting the license plates is really cheap computationally speaking, but not on

Probably yeah, but the potential of the cloud was much more appealing to me. Detecting the license plates is really cheap computationally speaking, but not on the RPi. The most expensive part computationally was identifying the words (letters) - that's because detecting the text within the bounding boxes obtained from YOLOv3 is based on a VGG-16 model. Running that multiple times in a single frame (for multiple license plates) is expensive. Surprisingly, the bandwidth was the least of my concerns. I was very surprised to see I didn't need much at all. For YOLOv3@ 416p and @30FPS I need about ~3Mbps. I wouldn't consider that much. Now, this is a demo of what a production system could theoretically look like. I know it could be much better optimized.