A Raspberry Pi smart bird feeder using machine learning
A Raspberry Pi smart bird feeder uses machine learning to identify the birds that visit your backyard and dispense food at their specific command. Created by maker and developer Hermy65, this project combines open-source tools to bring the idea to life, and is a great way to get involved in birdwatching.
Using a Raspberry Pi, machine learning, and a 3D printed enclosure, this project is the perfect way to spend your summer days relaxing in the sun, while your Raspberry Pi does the work for you! Luring in the birds with food, the Pi captures an image of your feathered dinner guests and uses image processing to determine the species.
The Raspberry Pi Smart Bird Feeder is the perfect way to stay on the cutting edge of technology and birdwatching. Bring the wonders of nature into your very own backyard, and discover a whole new world of birds! We’ll be bringing you more from the world of birds with our favorite nature games, and the best bird feeders to keep them happy.
Using a Raspberry Pi 3B model for this project, you can also use the Pi 4 or Pi Zero W. We’ve used a Raspberry Pi camera module with a fish eye lens, but you can use whichever camera you prefer. The project is housed in a 3D-printed enclosure, which you can easily print using the best 3D printers in our handy guide.
Software used in this project includes Who’s At My Feeder?, Frigate (with OpenCV and Tensorflow), and Docker. You can find more details and 3D printable files at the project page on Printables.
Check out the Raspberry Pi Smart Bird Feeder in action in the video below.
If you’re interested in finding out how the bird feeder works in more detail, check out our guide to the Raspberry Pi Smart Bird Feeder, where we take a closer look at the project and how it can be assembled.
