Using a NVIDIA Jetson Nano to Detect Wildlife!

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. Support this project with a one-off donation! https://buymeacoffee.com/lukeditria Code dump: https://github.com/LukeDitria/capture_box Discord for Projects: https://discord.gg/DE9KzUgp Discord for Deep Learning Tutorials: discord.gg/8g92X5hjYF