Last month, Intel introduced Movidius Neural Computer Stick to accelerate applications such as object recognition, and do so offline, i.e. without the cloud, and at low power. While there was not that much information available at the time, the minimal requirements for the host machine were that it had to be a x86_64 computer running Ubuntu 16.04, and come with at least 1GB RAM, and 4GB storage.
So I understood the stick would only work attached with 64-bit Intel or AMD processors, and ARM development boards would not be an option. But today, I’ve found that Movidius had uploaded a new video showing a Python based object recognition demo with the Neural Compute Stick connected to the the Raspberry Pi 3 board. You just need to add a USB camera, copy ncapi directory from the SDK installed on your Ubuntu 16.04 development machine to the Debian Jessie installed on RPi 3 board, install the relevant .deb packages from that directory, and as well as some required packages (e.g. Gstreamer), and run one of the demos such as stream_infer as explained in the video.
Since all computing is supposed to happen in the stick, I’d assume this should work on other ARM development board with Debian and Gstreamer support. I understand you’ll need an Ubuntu PC to compile neural networks using the toolkit, but you can run inferencing on lower end ARM hardware.