For a number of years, I’ve been using MotionEyeOS on my CCTV cameras, exclusively for the “Fast Network Camera” mode that enables RTSP for low bandwidth ingress to the MotionEye (running on CentOS) while maintaining good image quality.
Finding more uses for these Pi’s necessitates moving to Raspbian with MotionEye as the OS version is very bare bones by. Moving from the OS also means losing the Fast Network Camera and streams on the network jump from 2 Mbps to 25 Mbps.
Over multiple camera’s this really adds up, so I need a way replicate the low bandwidth, high quality streams with the versatility of Raspbian. The solution found is to install MediaMTX (formally rtsp-simple-server) …
Following the setup of a Cent OS CCTV server, I’ve been using Raspberry Pi’s as video sources. But what if there was a Raspberry Pi in perfect situ for a CCTV camera, but was already in use as a media player?
A Linux system has always had the impression that it is
versatile, so this should be an achievable task. A barrier would be how to get
this done with the operating system installed, in this case it is LibreElec, an
OS with the tagline “Just enough OS for Kodi”. Therefore, it would be more of a
challenge than a usual Debian install.
The team at LibreElec saw this type of thing coming, and included the Docker service as a Kodi addon to allow the curious tinkerer to add more than Kodi to a Pi.
If you have the LibreElec based Pi in the opportune
placement to add a camera, here is how to add Mjpeg streaming capabilities…
If you’d ever searched for Raspberry Pi projects that
involved a camera then the results would certainly include Motioneye OS, an
easy to use self-contained operating system that is truly (write then) plug and
play.
Looking for a CCTV project earlier this year I too was drawn in by this, and with my small abundance of RPi spares it was the cheapest choice, using a couple of RPi 3B+ for video, and a Zero W for time-lapse image capture. All processing was self-contained on each Pi with capture data passed over via SMB to a Windows file share.
This worked, but had a couple of problems that prevented it
from being trustworthy. Firstly, it stops recording video after a few days of
uptime, by creating empty files. And secondly the time-lapse camera seemed to
reset every few minutes that created in white out image capture as the camera’s
exposure setting recalibrated, ruining a time-lapse video.
Looking wider there was also the performance issue. In
Motioneye OS’ default state of managing all features, the highest FPS seemed to
max at 15 fps even on the Pi 3B+. Forums suggest this is due to the motion eye
daemon handling all the image processing in software, putting a strain on the Pi’s
modest CPU.
The idea and goal is to move the processing and IO
responsibilities to my server, which would be far more capable than the then
latest available RPi, and as I have chosen Cent OS to be my go-to Linux OS of
choice, this is what I’ll be using.
A gateway to make this possible is an option in Motioneye OS, Fast Network Camera. This when set relinquishes the Pi of all processing duties and serves to just stream the camera capture as best as possible via MJPEG.
Here’s how to set up Motioneye on a Cent OS server to be a central data hub for a network of RPi Motioneye OS cameras.
A little treat when ordering the latest Raspberry Pi was to add a camera module to it, at a price of £7 for the Noir (Not French, just meaning No Infrared filter) it was easy to justify getting even if there was not a set purpose to it.
For the price the Pi Noir camera was generous on the specs, with a 2592 x 1944, 5 Megapixel sensor it seemed capable of capturing high detail images. However, the 5Mp tagline applies to still images only, with video capped at a still respectful 1920 x 1080p.
The difference between the Noir and standard camera module is the lack of an IR filter on the lens, resulting in some washed out colours in daylight but still acceptable in a surveillance capacity, but has the ability to capture images in darkness with help of separate Infrared lighting.
Using the camera module on the Pi is pretty straight forward, connecting is done via a ribbon cable plugged into a dedicated port on the Pi board.
