> Nice writeup but the Raspberry Pi isn't running tensorflow. It is mentioned in the article that the author is sending images to an edge machine. Yeah I was a

> Nice writeup but the Raspberry Pi isn't running tensorflow. It is mentioned in the article that the author is sending images to an edge machine. Yeah I was a bit surprised by this, and although the article is very clear about it I think it's generated a bit of confusion in the comments here. My understanding of edge computing is that it means the processing of data is done at the point the data is captured, so to me that would mean right there on the raspberry pi. But the author considers their whole LAN to be the "edge", so basically anything that doesn't involve sending the data over the internet: > ... doing the heavy lifting on a machine physically close to the edge node – in this case, running the Tensorflow Object detection. By doing so, we avoid roundtrips over the internet, as well as having to pay for Cloud compute on e.g., AWS or GCP. I think their strategy of capturing the data on a very low-power device and then processing on a server on your network is a very reasonable one, I just wouldn't have used that term.