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Google AIY Vision Full Kit - Includes Pi Zero WH (v1.1)

SKU 2854
2 Reviews
£124.00 inc VAT
£103.33 ex VAT
14 in stock.

More available in 2 Weeks or more.
Available for backorder (more info)

Google AIY Projects brings do-it-yourself artificial intelligence to your maker projects. The Google AIY Vision Kit lets you build an image recognition device that can see and identify objects, powered by TensorFlow’s machine learning models.

The kit includes all of the components needed to assemble the basic kit that works with the Google Assistant SDK as well as on-device voice recognition with TensorFlow using the Intel Movidius Myriad Vision Processing Unit (VPU) hardware assist.

Assembling the kit should take about one hour. This no-soldering-required, complete AIY kit is an awesome Pi Zero-powered project!

Note: This kit does not come with a USB power supply, the best option we would recommend would be this power supply here. Don't try to power your Raspberry Pi from your computer. It will not be able to provide enough power and it may corrupt the SD card, causing boot failures or other errors.

  • Assembled Dimensions: 47mm x 75mm x 76mm
  • Assembled Weight: 66.2g
  • Kit includes:
    • Vision Bonnet Board with Movidius VPU for Raspberry Pi - fully assembled
    • Raspberry Pi Zero WH (Fully assembled)
    • Raspberry Pi Camera Board
    • Pi Zero Camera flat flex cable
    • CSI flat flex cable to connect to the camera
    • MicroSD card for the operating system
    • 11mm Plastic standoffs
    • Privacy LED
    • Arcade Push Button
    • Button harness
    • Piezo buzzer
    • LED bezel
    • USB cable - A/MicroB
    • Tripod mounting nut
    • External cardboard box
    • Internal cardboard frame

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United Kingdom

Fantastic piece of kit

Easy to build. Good instructions. Dont be put off by cardboard frame. Cool Components provided fantastic service and quick delivery.

Simon R.
United Kingdom

Cool Component!

This is a nicely conceived kit with everything you need to implement a Tensor-Flow based recognition system. It gives a reasonable amount of info on how to extend (hack) the kit. Unusually, it includes a MicroSD with Linux & Tensor Flow pre-installed (not as simple as it sounds!) & configured so you have something working following assembly. With some minor code changes to, say, activate GPIO pins - it can form the core of a bigger, more complex AI based project. My only negative is somewhere I read it could do voice / sound recognition. However, there's no mention of this in the instructions (apart from making beeps through the Piezo. Tensor can certainly do this - but only with additional hardware. A project for another day I guess!