Google AIY Vision Kit (V1)
The Google AIY Vision Kit (V1) is a do-it-yourself artificial intelligence and computer vision kit that enables makers and enthusiasts to build their own intelligent camera system using machine learning models. It is designed to work with a Raspberry Pi Zero W and a Raspberry Pi Camera Module (sold separately) to provide on-device vision recognition without requiring an internet connection.
Features:
- On-device machine learning with Tensor Flow for real-time image recognition.
- Privacy LED indicator to show when the camera is active.
- Interactive arcade-style button and piezo buzzer for user feedback and notifications.
- Expandable GPIO pins for connecting additional hardware like servos or sensors.
- Supports custom model training and deployment for specialized applications.
- Cardboard enclosure for quick, hackable assembly without tools.
Specifications:
| Parameter | Value |
|---|---|
| Processor | Intel Movidius Myriad 2 VPU |
| Compatible Board | Raspberry Pi Zero W (v1.1 or v1.3) |
| Camera Compatibility | Raspberry Pi Camera Module V2 |
| Power Input | 5VDC 2A micro-USB |
| Storage Requirement | MicroSD card minimum 4GB |
| Operating System | Custom Raspbian with AIY software |
| Assembly Time | Approximately 1 hour |
| Model Support | MobileNetV1, Squeeze Net |
ASSEMBLE THE HARDWARE:

Note: the Raspberry Pi Zero W with headers is not Included
Applications:
- DIY intelligent camera builds for object detection and recognition.
- Educational and experimentation platform for machine learning.
- Computer vision prototyping and proof-of-concept projects.
- Robotics and sensor systems that require visual feedback.
- Smart device development requiring local image analytics.
Package Include:
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