[florianletsch]

(EDIT due to wrongly stating that models run on the Raspberry Pi directly)

The Google Vision Kit will run models on a custom neural processing chip connected to the Raspberry Pi Zero. With the DIY setup from the blog bost, the neural network runs on a "large pc" (potentially with GPU). Depending on the hardware you have at your disposal, you can run more complex (and therefore more powerful) neural networks. At the same time, you'll need wifi set-up and streaming to work. Completely embedded devices are easier to just put in the wild.

In theory, you should be able to use the models from the Vision Kit if you follow their instructions and just put the on a Raspberry Pi directly, and get an additional Movidius compute stick: https://developer.movidius.com/

[lovelearning]

Inference doesn't run on the RPi Zero. It runs on the VisionBonnet board which has a Movidius VPU tensor co-processor on it. RPi is just for handling the LEDs, buzzers and buttons. For training a model with custom datasets, you are correct - something bigger's needed.