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https://github.com/sghuang19/wildlife-monitor

A wildlife camera for detection and notification.
https://github.com/sghuang19/wildlife-monitor

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A wildlife camera for detection and notification.

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README

        

# Wildlife Camera with Raspberry Pi

A course project for [CSE 40373 Embedded System
Development](https://github.com/adstriegel/cse40373-sp24) at the University of
Notre Dame.

Group members include:

- Steven Baranko ([@StevenBaranko](https://github.com/SteveBaranko)):
[[email protected]](mailto://[email protected])
- Samuel Huang ([@sghuang19](https://github.com/sghuang19)):
[[email protected]](mailto://[email protected])

This project implements a system to detect and classify animals with a
combination of motion sensor, webcam,
[YOLOv8](https://github.com/ultralytics/ultralytics) model, send a notification
to user's smartphone, and upload the captured image to Google Drive.

The system has a modular design:

- `config.py`: Configurations of this app.
- `main.py`: Entry point of this app.
- `motion.py`: Initialization of PIR motion sensor.
- `capture.py`: Utilities for capturing frames from video device, e.g. a
webcam.
- `detect.py`: Feed the frame captured into image detection model.
- `notify.py`: Send notification to the user's smartphone using
[Bark](https://github.com/Finb/Bark).
- `upload.py`: Upload the captured image to Google Drive through API.

To try this app, you will need to create your own **Google Drive API
credential**, **folder ID**, and **Bark API address**. The API keys in the
source code will be deprecated when this repo is made public.