So I configured an http to https proxy to expose the Hass over port 80 in order to get the motion sensing subscribed properly, but looking at the source code, it is using the URL info from the Hass configuration to set the subscription up. Is there anyway to override the port information for the motion subscription? I am able to login to Hass over both http on port 80 and https on port 8123.
While logged in with port 80, the integration fully works
From a security perspective my plan is to limit the http to https proxy to only be accessed from the nvr. I currently have it fully open, and Hass is functional on both ports.
Perhaps someone who is more python savvy than me have an idea of how I can āhackā this in? Or could we modify this integration to include an option for subscription port override? Any help would be much appreciated.
Also, if anyone needs my nginx proxy config for their use, please let me know.
Has anyone used this integration with the new people / vehicle detection cameras? If so, how good is the motion detection in Home Assistant? Do you still get false positives or does HA use the person / vehicle alerts to trigger the motion binary sensor?
I have a 410, decided to completely disable the internal motion detection due to all the false triggers.
I now have it integrated with Local realtime person detection for RTSP cameras
And now I only get a motion event in home assistant when it actually āseesā a person, not a moving tree, bugs flying around my lights, the community rabbits, or a bird flying by. I highly recommend this if you have the ability to run a docker container.
FYI - if it seems like this isnāt working, you canāt have the Reolink software running and have this motion detection sensor work. Fought with that for about 30 minutes before I closed the Reolink app and then the sensor started reporting motion. Go figure.
I am planning to buy a number of RLC-510A/RLC-810A (i.e. the models with person/car detection built-in) in order to use them in combination with my alarm system, which made itself with Home assistant (with āalarmoā custom component). Basically Iād like to have a binary sensor (mqtt or whatever) that will be triggered once a āperson detectionā is triggered by any camera. In this way I can receive notifications only when the alarm system is ARMED.
My question is: with the custom component āfwestenberg/reolink_devā will I be able to do that?
My HA server is local, but I donāt have the NVR (or at least I am not planning to buy the reolink one but build my own with a rpi/rockpi).
Thanks, made a template sensor and works fine. Have you any idea itās possible to use the recorded video playback and see the amount of space used/left from the sdcard. Thx
Everyone asking about person detection have a look at this open issue on the custom integration GitHub.
To summarize, the Reolink API doesnāt currently support exposing this, but, their engineers are working on it. So I guess yāall need to be patient
Can anyone share any experiences with the built-in AI detection accuracy of these cameras vs something like Frigate? Personally, I think Frigate is awesome but itās a resource hog for low power systems even with a Coral TPU. If the built-in AI of the Reolink cameras is as good then itās a massive saving in terms of hardware cost.
many thanks for the clarification! Actually in my case, this issue is blocking me from buying these cameras. At least as soon as I see the firmware update with the person detection implemented with ONVIF.
I donāt want to be too pessimistic, but here it might not be only a technical issue. Actually the firmware modification should be very easy for Reolink engineers, whereas there might be a strategy behind this lack (so you have to use their NVR). And honestly it is also fair from their point of you.
My vision about objects detection (person detection is my priority) is that there are many interesting projects (Frigate, Shinobi, DOODS) but none of them could be safely used for triggering an alarm with sirens (or in general to have reliable notifications), due to the presence of false positive. BlueIris is still one step above, but it not free and only for Windows. This is my perception in the first half of 2021, but I think that in the long run (some years) some of these project will outperform the current local detection of Reolink-AI cameras (which is good according to some youtube review Iāve seen).
So my idea was to use this local object detection for some time, and eventually switch to one of those project in the future.
Using the local detection would have been a saving in terms of : time (spent to configure these sw), hardware and power consuptionā¦
Letās keep the finger crossed! thanks
I run Frigate and I get the occasional false positive but its not very often. I wouldnāt have any sirens linked to any detection method unless it was 100% reliable. Contact sensors on doors seem to be the best bet for that and I have my security automation linked into those. I donāt think any AI is at that level of accuracy yet or will it be for some time but I might be wrong. Still, itās a LOT better than any motion sensing Iāve tried. If you want to trigger alarms from object detection, maybe try number of detentions per x seconds. Thatās what Iām going to try for mine. In my experience false positives arenāt repeated in low motion areas (indoors). I would always test with notifications first and then work your way up to a big alarm automation!
Yeah, youtube isnāt great when half the āreviewsā are product endorsements so I was looking for some more honest opinions.
yes, I agree , but Iāve seen a number of reviews and especially with daylight the person detection seems to good enought.
I do have the same bad experience with external PIR sensor: even with the ones that are supposed to be āPET-friendlyā. PIR sensors for indoor and door sensors (magnetic reed) are for sure quite reliableā¦ but obviously the burglar is already inside the houseā¦
Many thanks for sharing your experience with Frigate: number of detections in a certain time is a great tip to prevent false positive. Iāve seen that with DOODS you have also the % of detection confidence, so you can sum those values in a certain period and set a threshold.
BTW: in how many cameras are enabling the person detect? which HW are you using?
Iām running 6 cameras:
1 x Reolink RLC-520:
Detect: 2048x1536, 30fps, Max bitrate 256kbps (5 fps in frigate)
clips: 2048x1536 30fps 6144kbps max bitrate.
Video Codec: H264 - MPEG-4 AVC (part 10) (h264)
Audio Codec: MPEG AAC Audio (mp4a) 32khz
3 x TPLINK Tapo C200
1 x Detect: 640x360 5fps
2 x Detect: 1920x1080 5fps
Clips: 1920x1080 15fps
Codec: H264 - MPEG-4 AVC (part 10) (h264)
Audio Codec: PCM ALAW (alaw) Mono 8khz
2 x Neos (wyze clone) running dafang firmware:
clips/detect: 1280x720 15fps 300kbps (5fps in frigate).
Video Codec: H264 - MPEG-4 AVC (part 10) (h264)
Audio: none
I was using a RPi4 but I wanted to use internal M.2 SSD and a Coral USB but power issues scuppered that. Iāve switched to a small inexpensive NUC with an Intel N4000 CPU now. Sits about 60-80%. Have a look at the frigate mega thread if you want to read more.
You can do the same in Frigate and also adjust the min size and max size of the objects which helps quite a bit. I find outside detection accuracy challenging, itās a constantly changing environment. I have clouds reflected in my car back window detected as a person the other day
True, but I guess it depends on each use case. I donāt think in my case the time between a camera detecting an intruder outside and them breaking a window and getting in, would be much different. From a security perspective cameras are more a deterrent than intrusion sensors too. If they are serious at breaking in though, then disabling cameras isnāt hard either.
I have done all the steps to add the reolink integration and at the beginning i could go through the setup of the integration entering the ip , port username and password, but the camera was not found.
After installing uninstalling a couple of times now i cant get even past this configuration and i get an unknown error. The onvif and ffmpeg streams work fine though. Any ideas?
My camere is the E1 zoom
Logger: custom_components.reolink_dev.config_flow
Source: config_entries.py:997
Integration: Reolink IP camera (documentation, issues)
First occurred: 11:39:04 AM (3 occurrences)
Last logged: 11:44:25 AM
Unexpected exception
Traceback (most recent call last):
File "/config/custom_components/reolink_dev/config_flow.py", line 73, in async_step_user
self._abort_if_unique_id_configured()
File "/usr/src/homeassistant/homeassistant/config_entries.py", line 997, in _abort_if_unique_id_configured
raise data_entry_flow.AbortFlow("already_configured")
homeassistant.data_entry_flow.AbortFlow: Flow aborted: already_configured
I was facing with a similar problemā¦nor entities neither devices createdā¦but if you set internal URL and external URL in Configuration/General and recreate all again it works. I have seen that there is a delay aprox 10 secā¦So, it is no acceptable for me and I do prefer Reolink App to see my cameras
in your particular case you have to unistall Reolink ans re-install (after set Internal/external URL)
I Manage to sort it out, i had it temporarily disabled and was trying to re add it. I re enabled it and it works. The motion sensor is not picking anything uo though, but i can solve that via rest api
thanks
