Vision Kit- Google AIY Project
Build a camera that can recognize objects using TensorFlow
Vision Kit- Google AIY Project launched on December 6, 2017 with 6 votes. The site was still online in September 2026, 8 years on.
What it does
This project lets you build an image recognition device that can see and identify objects, powered by TensorFlow’s machine learning models. All you need is a Raspberry Pi Zero W, a Raspberry Pi Camera 2, and a blank SD card. A free Android app is coming soon to help you easily control your device.
Do-it-yourself intelligent camera. Experiment with image recognition using neural networks.
The AIY Vision Kit from Google lets you build your own intelligent camera that can see and recognize objects using machine learning. All of this fits in a handy little cardboard cube, powered by a Raspberry Pi. Everything you need is provided in the kit, including the Raspberry Pi. For product discontinuation plans, see the product lifecycle details . The following instructions show you how to assemble your AIY Vision Kit, connect to it, and run the Joy Detector demo, which recognizes faces and detects if they're smiling. Then you can try running some other demos that detect other kinds of objects with the camera. You can even install your own custom-trained TensorFlow model. If you have…from aiyprojects.withgoogle.com
Does a similar job
all alternatives →- OOOffline Object Detection and Tracking on a Raspberry Pi2018 · medium.com · ▲106

- UDUsing deep learning to detect objects from your webcam2018 · modeldepot.github.io · ▲95
Roboflow Universe2021 · universe.roboflow.com · ▲237Pre-trained computer vision models and public datasets
- QBQuickly build a production ready image classifier from your images2018 · blog.machinebox.io · ▲142

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