How to build a Raspberry Pi security camera network with motionEye
A practical project that uses motionEye on Raspberry Pi OS and a Pi camera to create a low-cost, networked motion-triggered surveillance system.

A practical project that uses motionEye on Raspberry Pi OS and a Pi camera to create a low-cost, networked motion-triggered surveillance system.

Use motionEye (the application) on Raspberry Pi OS instead of the discontinued MotionEye OS to run camera servers on Raspberry Pi boards.
Performance is limited by the Pi’s CPU and I/O—adding many high-definition cameras will degrade performance.
# Project summary This project walks through setting up a Raspberry Pi security camera network using motionEye software. It aims to be a cost-effective alternative to commercial cloud cameras by letting you run cameras locally, view streams on the network, and record when motion is detected.
# What you need Short list: a Raspberry Pi, a compatible Pi camera module (the standard Pi camera is used in the tutorial), and Raspberry Pi OS as the base system. The instructions replace the old MotionEye OS workflow with the current motionEye application installed on Raspberry Pi OS.
# How it works motionEye is installed on a Raspberry Pi running the default Raspberry Pi OS. The camera module connects to the Pi's CSI port or can be added as a network/USB camera. motionEye provides a web interface to view live feeds, configure motion detection, and manage recordings. Recordings and captures can be saved locally on the Pi's storage.
# Performance and practical limits Pi is not a high-performance video server. Running a small number of cameras at modest resolution is reasonable, but performance will decline if you add too many high-definition feeds or try to do heavy processing on the same device. Expect trade-offs between video resolution, frame rate, number of cameras, and smooth operation.
# Why use motionEye on Raspberry Pi OS MotionEye OS is no longer maintained. The tutorial updates the workflow to install the underlying motionEye software on the maintained Raspberry Pi OS. That keeps the Pi's operating system current while retaining the familiar motionEye interface and features.
# Community and follow-up The tutorial mentions community resources where makers gather: Adafruit's Discord channels, the Electronics Show and Tell livestream, and the weekly Ask an Engineer session. These are places to ask questions, share projects, and get troubleshooting help.
# Practical considerations before starting
# Where this fits This approach is suited to hobbyists and makers who prefer local control of camera streams and recordings instead of cloud services. It is presented as a low-cost setup for monitoring, basic time-lapse, and motion-triggered recording.
# Next steps

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