Motion Detector

An Application that utilizes a sensor on a Raspberry Pi to detect motion and collect the data. It provides an App UI to configure actions, which will then be triggered by the sensor.

About The Project · Requirements · Server Installation · Tech Stack · Author

About The Project

motion-detector-preview_720.mp4

Requirements

• Motion Detector App installed (MacOS, Windows, Ubuntu)
• Raspberry Pi
  • 64-bit OS
  • Bun installed
  • Python 3 and GPIO zero installed
  • Server (RPi) must only be reached in local network
  • Raspberry Pi with Infrared Sensor connected on GPIO Pin

Server Installation

Raspberry Pi

1. Clone the repository onto your Raspberry Pi:

git clone https://github.com/lukesthl/motion-detector.git

cd backend; bun i

2. Setup the Environment:

cp .env.example .env

Edit SERVER_ORIGIN to your preffered name and change the GPIO_PIN to your connected sensor pin.

2. Start Server:

bun run prod

Tech Stack

Frontend (App)

• Tauri – Tauri is a framework for building tiny, blazingly fast binaries for all major desktop platforms
• SvelteKit – SvelteKit is built on Svelte, a UI framework for making interactive webpages
• Vite – Vite is a build tool for Frontends. It allows for faster development thanks to fast Hot Module Reload (HMR)
• TailwindCSS - Tailwind CSS is basically a utility-first CSS framework for rapidly building custom user interfaces

Backend (Raspberry Pi Server)

• Bun – Bun is a fast all-in-one JavaScript runtime like nodejs or deno
• SQLite – SQL database engine (only one currently supported by bun)

Ideas

• Dashboard
• Add more Actions (E-Mail, Phillips Hue, Sound)
• Mobile App Support (https://tauri.app/blog/2022/12/09/tauri-mobile-alpha/)
• Multiple Server/Sensor Support

Known Limitations

• MacOS Notifications not popping up (only shown in notification panel): tauri-apps/tauri#5488
• Bun Docker build with aarch64: oven-sh/bun#1219

Author

• Luke Stahl (@lukesthl)