Intel Movidius Neural Compute Stick Raspberry Pi

Real time object detection with openvino and opencv using raspberry pi and movidius ncs sees a significant speedup.

Intel movidius neural compute stick raspberry pi.

It is the same low power chip that provides visual intelligence to millions of low power embedded devices such as smart security cameras gesture controlled drones industrial machine vision equipment and more. The ncs myriad processor will handle the more demanding face detection while the rpi cpu will handle extracting face embeddings. The intel movidius neural compute stick intel movidius ncs is essentially an intel movidius visual processing unit vpu on a usb stick. With the help of intel movidius neural compute usb stick with raspberry pi 3 we are using it for image classification and an object recognizing application.

The intel movidius neural compute stick ncs is a tiny fanless deep learning device that you can use to learn ai programming at the edge. Ncs is powered by the same low power high performance intel movidius vision processing unit vpu that can be found in millions of smart security cameras gesture controlled drones industrial machine. A brief guide to the intel movidius neural compute stick with raspberry pi 3 by merve ayyüce kızrak is licensed under a creative commons attribution sharealike 4 0 international license. Inside the box is the neural compute stick itself and a small leaflet pointing you at the instructions.

Raspberry pi and deep learning results. The stick arrives in a small unassuming blue box. An x86 64 host computer with windows 10 or ubuntu 16 04 or 18 04 for the intel distribution of openvino toolkit. The intel openvino toolkit optimizes your computer vision apps for intel hardware such as the movidius neural compute stick.

Thanks i d like to thank intel türkiye and mustafa aldemir for kindly donating a movidius neural compute stick to support my deep learning research. For this benchmark we re going to compare using the pi cpu to using the pi paired with the ncs coprocessor. It is compatible with two dnn frameworks such as tensorflow and caffe. To see the results of applying deep learning image classification on the raspberry pi using the intel movidius neural compute stick and python proceed to the next section.

An internet connection to download and install the intel distribution of openvino toolkit. Intel neural compute stick 2 intel ncs 2. The rpi cpu processor will also handle the final machine learning classification. Why an embedded board.

The frameworks standards technique used are. As the title to this tutorial suggests we re going to pair our raspberry pi with the intel movidius neural compute stick coprocessor.