Building a Deep Learning Bird Camera
Birding with Python, Machine Learning, YOLO, and the NVIDIA Jetson
Building a Deep Learning Bird Camera launched on February 19, 2018 with 9 votes, #983 of 2,634 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
What it does
Over the past few months, I’ve been working on a robotic platform to detect and interact with birds. It uses a deep learning model called YOLO v2, running on NVIDIA’s embedded deep learning platform Jetson to detect when birds land in front of a webcam. Once detected, my deep learning camera records videos of the birds, and spawns off a web request to a Raspberry Pi over Wifi. It’s inspired by the insane intelligence of crows, and aims to eventually be a platform for exploring crow intelligence via robotics and games. In the meantime, it’s a system to automatically identify birds, take actions, and record videos of them. The plan is to use these videos as data to train a better bird…from makeartwithpython.com
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