Onvif camera for Sricam and motion detect sensor

Configuration
1

I have a few ip camera that all works with RTSP onvif. all of them works with concam windows software. In HA core, I successfully add falmeei camera ones using either onvif camera or generic camera. However, for Sricam SP019, I got no way to setup. Both GUI interface returns timeout. I used vlc to find out rtsp://192.168.30.12:554/onvif1 with username/password. it connects ok. However, how to get HA manually change the stream settings?

Another questions is all Falmeei camera and TP link camera has motion detection function. However, I seems cannot find sensor entities for them. how to get motion detect working?

2

Some time ago I used sricam cameras with HA. I have since moved to using them with frigate.

The sricam did often have issues with onvif and generic cameras so I used FFMPG

- platform: ffmpeg
  name: Kitchen Cam
  input: rtsp://192.168.1.xxx:554/onvif1
3

Thanks. I am using HA 2023.9.3 that is in Qnap NAS container. Where can I put your coding into? I tried in configuration.yaml and noticed camera: is invalid now “Integration error: Camera - Integration ‘Camera’ not found.”

4

Read this

The config lives under your camera section in you yaml file.

5

thanks. Added in configuration.yaml. However, it seems can’t load stream.

6

further checking. It seems latest HA core removes mjpeg, onvif camera manual settings via configuration.yaml. all should be done through GUI while GUI way is not so flexable.

7

Hi, can you share your Sricam configuration for Frigate? Thank you

8

I gave up to config Sricam on HA

9

Here you go.

 e_shedcam:
    birdseye:
      order: 4
    ffmpeg:
      hwaccel_args: preset-vaapi
      input_args: preset-rtsp-udp
      inputs:
      - path: rtsp://192.168.1.61:554/onvif1
        roles:
        - detect
        - record
    motion:
      mask:
      - 311,0,309,35,0,32,0,0
    detect:
      enabled: true
      width: 800
      height: 480
      fps: 5
    objects:
      track:
      - person
        #- cup
       # - car
      - bicycle
       # - motorcycle
      - dog
      - cat
      #  - window
     #   - keyboard
    snapshots:
      enabled: true
      timestamp: true
      bounding_box: false
      crop: false
      #height: 175
      required_zones: []
      retain:
        default: 5
        objects:
          person: 5
          car: 5
          cup: 1
    record:
      enabled: true
      retain:
        days: 7
        mode: motion
      events:
        retain:
          default: 5
          mode: active_objects
          objects:
            dog: 2
            car: 5