# MotionEye — Web Frontend for Security Camera Motion Detection

> MotionEye is a self-hosted web interface for the motion detection daemon. It turns IP cameras and USB webcams into a lightweight surveillance system with recording, alerts, and a clean browser-based dashboard.

## Install

Save as a script file and run:

# MotionEye — Web Frontend for Security Camera Motion Detection

## Quick Use
```bash
docker run -d -p 8765:8765 
  -v /path/to/config:/etc/motioneye 
  -v /path/to/media:/var/lib/motioneye 
  ccrisan/motioneye:master-amd64
# Open http://localhost:8765
```

## Introduction
MotionEye is a web-based frontend for the motion daemon that provides video surveillance with motion detection. It supports local USB cameras and network IP cameras, making it a popular choice for home and small-office security setups.

## What MotionEye Does
- Live camera feed viewing through a web browser
- Motion-triggered recording with configurable sensitivity
- Snapshot capture at scheduled intervals
- Email and webhook notifications on motion events
- Multi-camera support with a unified dashboard

## Architecture Overview
MotionEye is a Python web application that wraps the motion daemon. The frontend communicates with the motion backend over a local API. Video frames are processed by motion for detection, and the web layer handles configuration, streaming, and media file management.

## Self-Hosting & Configuration
- Install via Docker or pip on Linux-based systems
- Add cameras by entering RTSP URLs or selecting local USB devices
- Set motion detection zones and sensitivity thresholds per camera
- Configure storage retention policies to manage disk usage
- Enable HTTPS by placing behind a reverse proxy

## Key Features
- Supports MJPEG and RTSP network cameras alongside USB webcams
- Masking zones to ignore areas with constant movement
- Timelapse video generation from captured snapshots
- File upload to Google Drive, Dropbox, or a remote server via FTP/SFTP
- Runs on Raspberry Pi for an inexpensive surveillance solution

## Comparison with Similar Tools
- **Frigate** — AI-powered NVR with Coral TPU support; MotionEye is simpler and lighter
- **Scrypted** — smart home video bridge; MotionEye focuses purely on surveillance
- **ZoneMinder** — enterprise-grade NVR with complex setup; MotionEye prioritizes ease of use
- **Shinobi** — full NVR with API; MotionEye is better suited for small deployments

## FAQ
**Q: Does MotionEye support AI object detection?**
A: No. It uses frame-difference motion detection. For AI-based detection, consider Frigate or Scrypted.

**Q: Can I run it on a Raspberry Pi?**
A: Yes. MotionEye is widely used on Raspberry Pi with the official camera module or USB webcams.

**Q: How many cameras can it handle?**
A: It depends on hardware. A Raspberry Pi 4 handles 2-3 cameras; a modern server can manage 10 or more.

**Q: Does it record continuously?**
A: It primarily records on motion events, but continuous recording can be configured via the motion daemon settings.

## Sources
- https://github.com/motioneye-project/motioneye
- https://github.com/motioneye-project/motioneye/wiki

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Source: https://tokrepo.com/en/workflows/asset-edaba909
Author: Script Depot