In our previous post, we managed to run a Yolo-based Deep Neural Network directly on a Raspberry Pi with object detection in semi-real-time on pictures and video streams. The processing was done locally, which is kind of optimum for a local video stream. But, it can be a little bit too power-hungry if you have a farm of these.
Here are some not-so-easy-to-get power consumption values for the Raspberry Pi. You can easily see that heavy CPU usage doubles energy consumption. In that case, a possible solution to offload processing out the Raspberry and onto servers is by using easy-to-set-up lambdas.