Please make sure that in your particular case the server is sufficient for the requirements you need, or consult with us.
#Xeoma nvr archive#
Some actions, such as search in the archive or a quick scan of the archive, can give a very heavy load to the computer. The load depends on the filters used, their settings, the number of simultaneously connected viewers and their actions. The estimates do not guarantee that a server with recommended specifications will be sufficient for the tasks assigned. This last weekend I was able to revamp the HA ZM notifications and include the image in my notification! So now, when the camera is triggered, the ML fires up and does analysis on both the highest score alarm and snapshot frame, if it detects something then it sends an HTML5 notification with the details of the detection and the processed image.The estimations you get in the calculator are approximate and may differ from real results in some cases. The thing I like most is that the capture image for the ML analysis gets saved with the detection zones. It’s much quicker alert and more reliable. I used to get notifications for all of the bugs and webs but now with object detection and MQTT I only get captures for stuff I care about. Because the dlandon ML integration includes MQTT you can set it up to only push an MQTT event on successful object/face/license plate detection otherwise it still records to ZM but doesn’t create an MQTT message. I get a lot of spider webs and bugs that love to fly in front of the cameras triggering them throughout the day and night. Anyway, this wasn’t very reliable but it mostly worked. I used to have an HA automation that would watch the number of captures and if it incremented, I would notify my phone with something like “Front Door camera captured motion events 2=>3”.
About 2 months ago I found dlandon/zoneminder which is a ZoneMinder docker with built-in ML support for object detection (THIS HAS MQTT!!). Docker takes much of the pain out of it because it won’t affect the system at large. That was the best thing because upgrading ZoneMinder has always been a difficult chore for me. About a two years ago I started getting into docker and I eventually realized there were several docker containers for ZM and around then I transitioned my natively installed version to a docker. I can confirm that it is extremely stable you just need some CPU power to crunch the images. I’ve been using ZM for years too but I used it natively installed into Ubuntu for most of that time. Its a shame no-one else does MQTT like BlueIris
#Xeoma nvr software#
Perhaps the development of the software has improved and it is something that more HA should look into using. I came searching on the forums for info about Shinobi as I couldn’t believe I hadn’t heard of it before, and found this thread, so thought I would share my experience with it so far. Files sizes for a 15min video on roughly the same quality settings as MotionEye are around 240mb, significantly smaller for 50% longer record time.īeing that Frenck is no longer developing the community container for this, I have just added it to HA via an iframe. The learning curve for setup is much higher than MotionEye, but once I got the hang of it, I found it easy to configure.ĬPU usage is around 5% and RAM usage is around 15% (of 8gb) and power usage is sitting at 30-35 watts - much less taxing on the system than MotionEye. Installed using docker and it’s running very well. I stumbled across Shinobi, and decided to give it a go.
File sizes using Foscam FI9853EP’s were in the region of 800mb per 10min video on medium/high capture settings. I know this a somewhat due to old CPU architecture. Power usage was constantly sitting at 80 watts, which in Australia becomes expensive for an always-on system. I find the motion detection in MotionEye to be unreliable and it drops frames constantly - 1 second I’m in the video, next second, gone.
CPU usage was sitting constantly in the region of 60%-70% usage with 4 cameras on continuous record. I installed MotionEye using Docker, and got everything set up. I wanted to ditch the NAS, an old DS115j and move to a single solution for HA, CCTV, and Plex for my media content, so decided to have a play around with an old Dell SFF Optiplex 990 running Ubuntu server 18.04.03 LTS, with a i5 2400, 8gb RAM and a 2TB WD Purple Drive I pulled out of the NAS. (I would love an AIO docker solution if anyone has one)
I’ve also tried Zoneminder in the past, I found it very difficult to get to work in docker, so never stuck with it. I’ve tested MotionEye on and off for a while on an RPi and an Intel NUC with a J5005 CPU, but with a Synology NAS as my primary CCTV capture device - it just works so well.
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