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Video Doorbells
rafale77R
With the boom of video doorbells with the likes of Ring, Skybell and Next doorbell cams, I came to the realization that I did not want to be cloud dependent for this type service for long term reliability, privacy and cost. I finally found last year a wifi video doorbell which is cost effective and support RTSP and now ONVIF streaming: The RCA HSDB2A which is made by Hikvision and has many clones (EZViz, Nelly, Laview). It has an unusual vertical aspect ratio designed to watch packages delivered on the floor.... It also runs on 5GHz wifi which is a huge advantage. I have tried running IPCams on 2.4GHz before and it is a complete disaster for your WIFI bandwidth. Using a spectrum analyzer, you will see what I mean. It completely saturates the wifi channels because of the very high IO requirements and is a horrible design. 2.4GHz gets range but is too limited in bandwidth to support any kind of video stream reliably... unless you have a dedicated SSID and channel available for it. The video is recorded locally on my NVR. I was able to process the stream from it on Home Assistant to get it to do facial recognition and trigger automations on openLuup like any other IPCams. This requires quite a bit of CPU power to do... I also get snapshots through push notifications through pushover on motion like all of my other IPcams. Movement detection is switched on and off by openLuup... based on house mode.
IPCam
Object Recognition
rafale77R
Sharing a few options for object recognition which then can be used as triggers for home automation. My two favorites so far: https://github.com/asmirnou/watsor#homeassistant-integration https://github.com/skvark/opencv-python
IPCam
Facial recognition triggering automation
rafale77R
I have optimized my facial recognition scheme and discovered a few things: My wifi doorbell, the RCA HSDB2, was overloaded by having to provide too many concurrent rtsp streams which was causing the streams themselves to be unreliable: Cloud stream stream to QNAP NVR stream to home assistant (regular) stream to home assistant facial recognition. I decided to use the proxy function of the QNAP NVR to now only pull 2 streams from the doorbell and have the NVR be the source for home assistant. This stabilized the system quite a bit. The second optimization was to find out that by default home assistant processes images every 10s. It made me think that the processing was slow but it turns out that it was just not being triggered frequently enough. I turned it up to 2s and now I have a working automation to trigger an openLuup scene, triggering opening a doorlock with conditionals on house mode and geofence. Now I am looking to offload this processing from the cpu to an intel NCS2 stick so I might test some other components than Dlib to make things run even faster.
IPCam
CCTV on Openluup
CatmanV2C
Can we? Simply? Specifically Foscams which used to run 'fine' on Vera but are not exactly high importance to me. But since they are there.... Cheers C
IPCam
Facial recognition explained and Customized Home-Assistant components
rafale77R
Sharing what I have learned and some modifications to components with their benefits. On home assistant/python3, facial recognition involves the following steps: Establishing and maintaining a camera stream (over rtsp or http protocol) Have the ability to extract a single frame from the open stream in order to process it Pre process using the same steps as a video frame and store in memory a predetermined number of pictures as the known people to later compare with. In reality what is being compared are arrays of numbers generated by a model. Run a face detection and localization on the frame using one model Using the resulting location of 4., Extract from the picture, the face and encode it into a array of number Run a classification or comparison between the pre-set faces and the face on the video and spit out the "inference" or "prediction" to determine if they are close enough to be the same person. Even though a few components have been created on home-assistant for many years to do this, I ran into challenges which forced me to improve/optimize the process. Home Assistant's camera does not establish and keep open a stream in the background. It can open one on demand through its UI but doesn't keep it open. This forces the facial camera component to have to re-establish a new stream to get a single frame every time it needs to process an image causing up to 2s of delays, unacceptable for my application. I therefore rewrote the ffmpeg camera component to use opencv and maintain a stream within a python thread and since I have a GPU, I decided to decode the video using my GPU to relieve the CPU. This also required playing with some subtleties to avoid uselessly decoding frames we won't process while still needing to remove them from the thread buffer. The frame extraction was pretty challenging using ffmpeg which is why I opted to use opencv instead, as it executes the frame synchonization and alignment from the byte stream for us. The pre-set pictures was not a problem and a part of every face component. I started with the dlib component which had two models for ease of use. It makes use of the dlib library and the "facial_recognition" wrapper which has a python3 API but the CNN model requires a GPU and while it works well for me, turned out not to be the best as explained in this article and also quite resource intensive:https://www.learnopencv.com/face-detection-opencv-dlib-and-deep-learning-c-python/ So I opted to move to the opencv DNN algorithm instead. Home Assistant has an openCV component but it is a bit generic and I couldn't figure out how to make it work. In any case, it did not have the steps 5 and 6 I wanted. For the face encoding step, I struggled quite a bit as it is quite directly connected to what option I would chose for step 6. From my investigation, I came to this: https://www.pyimagesearch.com/2018/09/24/opencv-face-recognition/ "*Use dlib’s embedding model (but not it’s k-NN for face recognition) In my experience using both OpenCV’s face recognition model along with dlib’s face recognition model, I’ve found that dlib’s face embeddings are more discriminative, especially for smaller datasets. Furthermore, I’ve found that dlib’s model is less dependent on: Preprocessing such as face alignment Using a more powerful machine learning model on top of extracted face embeddings If you take a look at my original face recognition tutorial, you’ll notice that we utilized a simple k-NN algorithm for face recognition (with a small modification to throw out nearest neighbor votes whose distance was above a threshold). The k-NN model worked extremely well, but as we know, more powerful machine learning models exist. To improve accuracy further, you may want to use dlib’s embedding model, and then instead of applying k-NN, follow Step #2 from today’s post and train a more powerful classifier on the face embeddings.*" The trouble from my research is that I can see some people have tried but I have not seen posted anywhere a solution to translating the location array output from the opencv dnn model into a dlib rect object format for dlib to encode. Well, I did just that... For now I am sticking with the simple euclidian distance calculation and a distance threshold to determine the face match as it has been quite accurate for me but the option of going for a much more complex classification algorithm is open... when I get to it. So in summary, the outcome is modifications to: A. the ffmpeg camera component to switch to opencv and enable background maintenance of a stream with one rewritten file: https://github.com/rafale77/home-assistant/blob/dev/homeassistant/components/ffmpeg/camera.py B. Changes to the dlib face recognition component to support the opencv face detection model: https://github.com/rafale77/home-assistant/blob/dev/homeassistant/components/dlib_face_identify/image_processing.py C. Modified face_recognition wrapper to do the same, enabling conversion between dlib and opencv https://github.com/rafale77/face_recognition/blob/master/face_recognition/api.py D. And additions of the new model to the face_recognition library involving adding a couple of files: https://github.com/rafale77/face_recognition_models/blob/master/face_recognition_models/__init__.py https://github.com/rafale77/face_recognition_models/tree/master/face_recognition_models/models Overall these changes significantly improved speed and decreased cpu and gpu utilization rate over any of the original dlib components. At the moment the CUDA use for this inference is broken on openCV using the latest CUDA so I have not even switched on the GPU for facial detection yet (it worked fine using the dlib cnn model) but a fix may already have been posted so I will recompile openCV shortly... Edit: Sure enough openCV is fixed. I am running the face detection on the GPU now.
IPCam
opensource NVR
DesTD
At the moment i'm using the Surveillance software in Synology but I'm limited to 6 cameras (2 included and I took a 4pack a while ago) But I have 8 cameras, so right now, 2 of them are not in the NVR! I checked back in time motioneye but this software is very slow and all my cameras feed was lagging... any other solution?
IPCam
License Plate recognition
rafale77R
Something fun to do if you have a camera located on your driveway: This home assistant component enables recognition of a license plate which in turn could open the garage door... https://www.home-assistant.io/integrations/openalpr_local/
IPCam
Monocle on Alexa
rafale77R
Sharing an excellent skill I use to locally stream from my IPCams to echo shows: https://monoclecam.com Your video stream does not need to go to the cloud. This skill just forwards the local stream address to the echo device when the camera name is called. It does require them to host the address and camera information (credentials) on their server though. I personally block all my IP cameras from accessing the internet from the router.
IPCam

Video Doorbells

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  • S sender

    Rafale, how did you manage to get "instant" notification and talk back via your phone with that hikvision? And secondly how did you manage to use the original chime? I always keep relying on a 8 or 12v physical doorbell next to the smart part.

    rafale77R Offline
    rafale77R Offline
    rafale77
    wrote on last edited by rafale77
    #10

    @sender

    Thank you for bringing this up... The big massive main discussion around this doorbell on IPCamTalk is about power and the old chime. When I switched to Skybell I had moved from an electronic chime to a more traditional mechanical chime. As a result I never faced any problem. It appears that electronic chimes are less standardized and various models can give problems.

    In the US doorbells are powered by low voltage AC (similar to yard lighting) with a lot of tolerance on voltage. This doorbell takes both AC and DC... 12 to 24V... but this must work with the chime too. In my case I had to upgrade my power supply to a 30W one. This tiny wires over long runs have a lot of power loss so I went to 20V AC. You get more power loss with DC than AC. You also get more power loss with lower voltages. (Joules law)

    As for your first question, you can install this in your chime:

    12ct Hughes Sage Doorbell Sensor Home Automation Security System 206612 for sale online | eBay

    12ct Hughes Sage Doorbell Sensor Home Automation Security System 206612 for sale online | eBay

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    For less than $5, you get a zigbee doorbell notification. I don't use the talk back function, only the snapshot. If I need the inter phone functionality, I can enable the cloud function which is free. I keep mine enabled but I have redundancy... so I am as not to be cloud dependent.

    For information, this is the thread I have been mentioning with the 101 about this unit which summarizes almost everything:

    New RCA HSDB2A 3MP Doorbell IP Camera

    New RCA HSDB2A 3MP Doorbell IP Camera

    HIKVISION DOORBELL101 HIKVISION (DS-HD1), RCA (HSDB2A), EZVIZ (DB1), LAVIEW (LV-PDB1630-U), NELLY'S (NSC-DB2), LTS (LTH-7132-WIFI) OFFLINE 101 * NEW RCA OWNERS READ WARNINGS: SECTION * * IF YOUR...

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    0
    • S Offline
      S Offline
      sender
      wrote on last edited by sender
      #11

      Hmmm ... that way it is not really a doorbell but a snapshotter :-). I have that for years... haha...
      A hikvsion cam connected to synology surveillance station and parrallel to a fibaro universal sensor. Before the cam was in vera (directly) and the veraalerts app sent me a snapshot via mail when motion was detected.
      Recently I moved to home assistant, integrated the vera devices there, have node red, telegram and now I receive an INSTANT notification when doorbell is pressed and an instant snapshot from 2 cameras, doorcam and front yard cam. Only thing I would really like (for after corona period) to talk back and have an instant video and audio stream...

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      • ElcidE Offline
        ElcidE Offline
        Elcid
        wrote on last edited by
        #12

        My door is covered by a hidden microwave sensor. when triggered reactor sends a http request to my phone or tv box, depending on home or away. My phone/box uses Automate to receive the http request, Automate then opens the camera app and displays the camera. I can talk and listen though the camera app. Normally takes 5-10 seconds to complete. If i am home vera sends a TTS to alexa, informing me there is some one at the door.

        therealdbT 1 Reply Last reply
        2
        • S Offline
          S Offline
          sender
          wrote on last edited by
          #13

          Tell me more about the microwave sensor 🙂

          1 Reply Last reply
          1
          • ElcidE Offline
            ElcidE Offline
            Elcid
            wrote on last edited by
            #14

            I use a
            https://www.ebay.co.uk/itm/AC-110-220V-Microwave-Radar-Sensor-Switch-Body-Motion-Detector-for-LED-Light/274176461640?ssPageName=STRK%3AMEBIDX%3AIT&_trksid=p2057872.m2749.l2649
            connected to a Shelly 1, which is integrated with @therealdb Virtul HTTP Switch as a sensor.

            1 Reply Last reply
            1
            • ElcidE Elcid

              @CatmanV2 same issue here .

              Black CatB Offline
              Black CatB Offline
              Black Cat
              wrote on last edited by
              #15
              This post is deleted!
              1 Reply Last reply
              0
              • S Offline
                S Offline
                sender
                wrote on last edited by
                #16

                Ordered... let's play 🙂

                ElcidE 1 Reply Last reply
                0
                • S sender

                  Ordered... let's play 🙂

                  ElcidE Offline
                  ElcidE Offline
                  Elcid
                  wrote on last edited by
                  #17

                  @sender
                  Be careful with the placement as these sensors can see through doors and thin walls, You can block the sensor with thin metal to stop false trips.
                  I mounted my sensor in meter cupboard and place a section of angle iron at bottom to stop trips from cats etc. The white box at bottom contains the sensor and Shelly
                  20200430_095307.jpg

                  S 1 Reply Last reply
                  1
                  • S Offline
                    S Offline
                    sender
                    wrote on last edited by
                    #18

                    Thanks, will remember. Think I will use esp 8266 as switch cheap and easy with tasmota.

                    1 Reply Last reply
                    0
                    • iblisI Offline
                      iblisI Offline
                      iblis
                      wrote on last edited by
                      #19

                      Video over wifi is ok IF the bandwidth is efficient. Usually that is not the case when you start adding multiple wifi cameras to your network and you quickly understand how unreliable a wifi connection can be.

                      My suggestions here is always:

                      • Keep wifi cameras on a dedicated WLAN network.
                      • Calculate your bandwidth and never go more than 80% of recommended throughput depending on your wifi specs.
                      • If you are distributing the camera feed to multiple clients ALWAYS configure your camera/dvr/clients to use multicast.

                      When it comes to the topic at hand and just for informational purposes my doorbell is from DoorBird and is connected through POE and so far it's been the most reliable/flexible solution I've tried yet.

                      Live long and prosper 🖖

                      Andreas Paulsen aka iblis
                      Email: iblis@hjemmeautomasjon.no
                      Norwegian Smarthome community: www.hjemmeautomasjon.no

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                      0
                      • propheadP Offline
                        propheadP Offline
                        prophead
                        wrote on last edited by
                        #20

                        Second the doorbird

                        1 Reply Last reply
                        0
                        • DesTD Offline
                          DesTD Offline
                          DesT
                          wrote on last edited by
                          #21

                          Doorbird looks better BUT can't use that with only the physical place as a standard door bell

                          1 Reply Last reply
                          0
                          • rafale77R Offline
                            rafale77R Offline
                            rafale77
                            wrote on last edited by
                            #22

                            Just as it was for me... The door bird was never an option. I did not have the appropriate wiring and it is way too big for my installation. I think it works much better in Europe.

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                            0
                            • rafale77R rafale77

                              With the boom of video doorbells with the likes of Ring, Skybell and Next doorbell cams, I came to the realization that I did not want to be cloud dependent for this type service for long term reliability, privacy and cost.
                              I finally found last year a wifi video doorbell which is cost effective and support RTSP and now ONVIF streaming:

                              The RCA HSDB2A which is made by Hikvision and has many clones (EZViz, Nelly, Laview). It has an unusual vertical aspect ratio designed to watch packages delivered on the floor....
                              It also runs on 5GHz wifi which is a huge advantage. I have tried running IPCams on 2.4GHz before and it is a complete disaster for your WIFI bandwidth. Using a spectrum analyzer, you will see what I mean. It completely saturates the wifi channels because of the very high IO requirements and is a horrible design. 2.4GHz gets range but is too limited in bandwidth to support any kind of video stream reliably... unless you have a dedicated SSID and channel available for it.

                              The video is recorded locally on my NVR. I was able to process the stream from it on Home Assistant to get it to do facial recognition and trigger automations on openLuup like any other IPCams. This requires quite a bit of CPU power to do...
                              I also get snapshots through push notifications through pushover on motion like all of my other IPcams. Movement detection is switched on and off by openLuup... based on house mode.

                              propheadP Offline
                              propheadP Offline
                              prophead
                              wrote on last edited by
                              #23

                              °@rafale77 said in Video Doorbells:I also get snapshots through push notifications through pushover on motion like all of my other IPcams. Movement detection is switched on and off by openLuup... based on house mode.°(information text)

                              How do you use pushover from openluup I’ve only been able to do growl and sms. Also being able to include framegrab in message would be great.

                              propheadP 1 Reply Last reply
                              0
                              • rafale77R Offline
                                rafale77R Offline
                                rafale77
                                wrote on last edited by rafale77
                                #24

                                I use a home assistant binding for this:
                                I have setup Home assistant with the pushover component:

                                Home Assistant

                                Pushover

                                Pushover

                                Instructions on how to add Pushover notifications to Home Assistant.

                                I then wrote a scene on the vera to send a command to home assistant to take the snapshot from the camera I want and embed into the notification as documented above. I shared the snippet to send commands to home assistant in the snippet/code section.

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                                0
                                • propheadP Offline
                                  propheadP Offline
                                  prophead
                                  wrote on last edited by
                                  #25

                                  How long does that kabuki dance take? I didn’t see the snippet.

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                                  0
                                  • rafale77R Offline
                                    rafale77R Offline
                                    rafale77
                                    wrote on last edited by
                                    #26

                                    https://smarthome.community/topic/39/lua-function-in-openluup-startup-lua-to-send-async-command-to-home-assistant-api

                                    1 Reply Last reply
                                    0
                                    • ElcidE Elcid

                                      My door is covered by a hidden microwave sensor. when triggered reactor sends a http request to my phone or tv box, depending on home or away. My phone/box uses Automate to receive the http request, Automate then opens the camera app and displays the camera. I can talk and listen though the camera app. Normally takes 5-10 seconds to complete. If i am home vera sends a TTS to alexa, informing me there is some one at the door.

                                      therealdbT Offline
                                      therealdbT Offline
                                      therealdb
                                      wrote on last edited by
                                      #27

                                      @Elcid said in Video Doorbells:

                                      My door is covered by a hidden microwave sensor. when triggered reactor sends a http request to my phone or tv box, depending on home or away. My phone/box uses Automate to receive the http request, Automate then opens the camera app and displays the camera. I can talk and listen though the camera app. Normally takes 5-10 seconds to complete. If i am home vera sends a TTS to alexa, informing me there is some one at the door.

                                      I have a BTicino (part of Legrand, very common in France/Italy/Spain) doorbell. They have a proprietary system, but it's basically a video doorbell. I spent almost 1k to have it installed, but it's doing multiple entries, multiple inside points, etc. I have it hooked up with a binary sensor to get doorbell status, plus a switch to open the gate. It natively supports Android/iOS and I get a call and I can reply even when outside. I use it to let the packages in my porch, etc, since here in Italy open garden on the front yard is not common, we have the whole property closed to external guests.

                                      I too have a similar setup as @Elcid. When someone rings, I send a notification to our phones and I turn on camera recording (I turn it OFF during the day, unless events are triggered), and I turn on a tablet in the open space to show all the external camera. It's near the video doorbell proprietary tablet, so you'll see the person on the doorbell, plus all the cameras. Everything is pushed via my telegram bot.

                                      If it's night, I turn on all the lights (I have more lights outside that I turn on during parties or when doors/gates are opened). Overall, I like my setup, the only thing I regret is that this system is closed and I can't capture a screenshot of the wide-angle camera easily. I wanted to separate this from the HA system to have stability - and I was right, from that point of view.

                                      --
                                      On a mission to automate everything.

                                      My MS Reactor contrib
                                      My Luup Plug-ins

                                      ElcidE 1 Reply Last reply
                                      1
                                      • therealdbT therealdb

                                        @Elcid said in Video Doorbells:

                                        My door is covered by a hidden microwave sensor. when triggered reactor sends a http request to my phone or tv box, depending on home or away. My phone/box uses Automate to receive the http request, Automate then opens the camera app and displays the camera. I can talk and listen though the camera app. Normally takes 5-10 seconds to complete. If i am home vera sends a TTS to alexa, informing me there is some one at the door.

                                        I have a BTicino (part of Legrand, very common in France/Italy/Spain) doorbell. They have a proprietary system, but it's basically a video doorbell. I spent almost 1k to have it installed, but it's doing multiple entries, multiple inside points, etc. I have it hooked up with a binary sensor to get doorbell status, plus a switch to open the gate. It natively supports Android/iOS and I get a call and I can reply even when outside. I use it to let the packages in my porch, etc, since here in Italy open garden on the front yard is not common, we have the whole property closed to external guests.

                                        I too have a similar setup as @Elcid. When someone rings, I send a notification to our phones and I turn on camera recording (I turn it OFF during the day, unless events are triggered), and I turn on a tablet in the open space to show all the external camera. It's near the video doorbell proprietary tablet, so you'll see the person on the doorbell, plus all the cameras. Everything is pushed via my telegram bot.

                                        If it's night, I turn on all the lights (I have more lights outside that I turn on during parties or when doors/gates are opened). Overall, I like my setup, the only thing I regret is that this system is closed and I can't capture a screenshot of the wide-angle camera easily. I wanted to separate this from the HA system to have stability - and I was right, from that point of view.

                                        ElcidE Offline
                                        ElcidE Offline
                                        Elcid
                                        wrote on last edited by
                                        #28

                                        @therealdb said in Video Doorbells:

                                        Overall, I like my setup, the only thing I regret is that this system is closed and I can't capture a screenshot of the wide-angle camera easily.

                                        My NVR his so old that the SSL encryption is obsolete, so the email no longer functions. I capture images with Automate and use Automate to send an email with the screenshot to my device or FTP server. If your system has an App it may be possible to capture the screen with Automate.

                                        therealdbT 1 Reply Last reply
                                        0
                                        • ElcidE Elcid

                                          @therealdb said in Video Doorbells:

                                          Overall, I like my setup, the only thing I regret is that this system is closed and I can't capture a screenshot of the wide-angle camera easily.

                                          My NVR his so old that the SSL encryption is obsolete, so the email no longer functions. I capture images with Automate and use Automate to send an email with the screenshot to my device or FTP server. If your system has an App it may be possible to capture the screen with Automate.

                                          therealdbT Offline
                                          therealdbT Offline
                                          therealdb
                                          wrote on last edited by
                                          #29

                                          @Elcid Yep, I was thinking about this. The only problem is that the video is taken exclusively from the app it's responding, so we'll see. I'll probably just run another eth cable outside and put a new cam anyway. Right now I'm too busy with my central air cooling and the pool that the doorbell has less priority than before (and that's because we had 2 months of complete lock down, so the only visitor was couriers/postmen). The doorbel per se is not bad => https://www.youtube.com/watch?v=8LG-Of--JU8

                                          --
                                          On a mission to automate everything.

                                          My MS Reactor contrib
                                          My Luup Plug-ins

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