AIY Vision Kit: build your own intelligent camera — Video tutorial [1/7]

Amanda Cavallaro
2 min readFeb 17, 2019

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A tiny cardboard box created by Google allows you to learn cool parts of artificial intelligence such as face detection and expressions, general object recognition, face tracking and so on!

By using the Artificial Intelligence Yourself kit you can learn through doing and having fun — no matter what your background is! And is part of a global open source community!

You can experiment with image recognition using neural networks as it is powered by TensorFlow’s machine learning models, and potentially even solve new problems :-)

You are not required to be connected to the internet to use the AIY Vision Kit, as Raspberry Pi Zero WH has wifi and bluetooth support, all you need is a power supply!

I created a series of videos assembling the AIY Vision Kit, a do-it-yourself intelligent camera.

In the official website, they state the time required to build is 1.5 hours.

01. FOLD THE INTERNAL FRAME

In this video we build the internal frame that goes inside the camera box. It is an exciting experience; we first open the box and get acquainted with the parts which will be used.

Video 1 — Folding the internal frame

02. CONNECT THE BOARDS

Check the part two here.

03. ADD THE BOARDS TO THE FRAME

Check the part three here.

04. BUILD THE BOX

Check the part four here.

05. BRING IT TOGETHER

Check the part five here.

06. INSTALL THE LED

Check the part six here.

07. INSTALL THE HARDWARE

Check the part seven here.

What will you build? Let me know in the comments down below!

The AIY Vision gives you limitless possibilities by using a piece of software and connecting wires to board.

You’ll need to assemble its components and personalise the experience to get it up and running.

You can learn to use a raspberry pi and AIY programming in Python to expand your applications.

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Amanda Cavallaro

Software developer, passionate about Cloud technologies, Human Computer Interactions and Chatbots. Women Techmakers, Japanese Culture lover, Aikidoka.