Google AIY Projects makes DIY artificial intelligence accessible for your maker projects. The Google AIY Vision Kit allows you to build an image - recognition device. Powered by TensorFlow’s machine - learning models, it can see and identify objects. This kit has all the components for the basic setup. It works with the Google Assistant SDK and enables on - device image and vision recognition with TensorFlow, thanks to the Intel Movidius Myriad Vision Processing Unit (VPU) hardware assist. Assembling takes around an hour. It's a no - soldering - required, awesome Pi Zero - powered project! The kit includes a fully - assembled Vision Bonnet Board with Movidius VPU for Raspberry Pi, Raspberry Pi Zero WH (fully assembled), Raspberry Pi Camera Board, Pi Zero Camera flat flex cable, CSI flat flex cable for the camera, a 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, and Internal cardboard frame. Recommended items not included are a 5V Power Supply with USB plug (using the included MicroUSB cable) or a 5V 2.5A Power supply with a 2 - meter built - in cable.
Using the Google AIY Vision Kit is a fun experience. First, gather all the components from the kit. You don't need to solder anything, so it's quite easy to start. Assemble the parts following the basic steps, and it should take about an hour. Once assembled, connect the 5V power supply (either with a USB plug or a 2.5A one with a 2 - meter cable). The device can then start using TensorFlow models to recognize images. When using, make sure the camera is well - positioned to get clear images. Also, keep the device in a dry and cool place to avoid overheating. For maintenance, regularly check the cables for any signs of wear and tear. And don't forget to update the operating system on the MicroSD card for better performance.
