Wildlife Documentation Camera

Fairly new to machine learning, but have been doing raspberry pi stuff for a year or so.

My plan was to hang up the nano in a waterproof box with the v2 pi camera attached pointed at some bird feeders. I was hoping it would be able to detect the birds and document what species is feeding and when.

Is this project possible?

What resources/hardware do you recommend to get started?


You can check this blog to get some information:


Hi vondalej,

This sounds like a really cool project! Seems like a great application of Jetson Nano.


You may want to check out the Jetson Nano compatible cameras we list in this issue


There is also a lens kit for the M12 ArduCam boards that allows you to experiment with different fields of view. Which may be helpful for your application.



It may help to get familiar with deep learning and the capabilities of Jetson Nano. We created the open source JetBot project for just this purpose


This project has tutorials that include collecting your own dataset, training and deploying for a custom task.

You may need to curate your dataset in a different manner, but the lessons will likely still help :)

Please let me know if you have any questions! I look forward to seeing how your project progresses.


Jetson hacks gave me this project as a reference.

My question is the install of Open CV3 and darkflow. Any literature on this around?


OpenCV 3.3 is installed by default.
For darkflow, here is a tutorial for your reference:


Ok, i have the hardware and capture program done. It’s generating pictures of birds as it sees and putting them in a folder.

I built the My Recognition program (https://github.com/dusty-nv/jetson-inference/tree/master/examples/my-recognition) into that folder.

Does anyone have some code modifications to automatically run this when a new file is added to the directory?

In short, camera is running on a web server outside…bird program running on nano inside determines a bird is in the frame…nano creates a files (1.jpg for example)…my recognition sees a new files and runs program to identify bird…creates an output with the species

All but the last 2 parts are working. Worst comes to worse I run it manually, but it would be cool to automate this.

I think what you are looking for is the Linux inotify API, it alerts you to changes in the filesystem or a particular directory. See here for an example:


Can a C program trigger a python script?