I Created an AI Wildlife Detector with a Nvidia Jetson Nano! (Long Version)

TIMESTAMPS:
00:00 Intro
00:27 Welcome
01:50 Background
04:57 What is it? (main components)
07:27 Starting the build
08:35 Adding the camera
09:35 Mounting the solar panel
10:42 Mounting the box
11:40 Box management system build
15:40 Making the lid clear
18:05 Arduino code
20:55 Object detection code (on the Jetson Nano)
23:03 Finishing touches
24:18 New camera for the Jetson Nano
25:56 Final testing
28:18 Results and discussion
29:56 Final thoughts!

The first video showcasing my latest Nvidia Jetson Nano project! I wanted to use this project as an example project to show what can be done with edge compute devices like the Nvidia Jetson Nano!
In this project I perform object detection with the Jetson Nano to catalogue wildlife in real time from a remote outdoor location, recharging a battery with solar power! You could also use a Raspberry Pi (Raspberry Pi 5 etc) for this project or some some other single board computer with a Neural Network accelerator to run the YOLO Object Detection model in python (YOLO 8 etc). I also use an Arduino Nano in this project to monitor the solar battery power management system to shutdown the Nvidia Jetson Nano when the battery voltage gets low. The Arduino Nano also controls the Nvidia Jetson Nano by booting it up/shutting it down at the correct time of day.


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Code dump:
https://github.com/LukeDitria/capture...

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