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SkillsMay 14, 2026·2 min de lecture

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.

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Installation agent prête

Cet actif peut être installé après choix du runtime, vérification du plan et exécution de la commande adaptée.

Native · 98/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
MotionEye
Commande d'installation directe
npx -y tokrepo@latest install edaba909-4fd3-11f1-9bc6-00163e2b0d79 --target codex

À exécuter après confirmation du plan en dry-run.

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

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