[Support]: Stationary objects feature in 0.10.0

Describe the problem you are having

Thanks for the awesome release!

I have a very interesting setup in my driveway where two cars are usually always parked when we are home but want to avoid being notified of them when stationary so I created two zones as described in the documentation. It works fairly well for the most part but due to how my camera is positioned, I usually always miss events due to all the masking as the camera also faces the street. I originally had the street mask and I believe that is the reason for the missed events since Frigate can’t track the objects as they approach the zone.

Here’s an image of my driveway with the street unmasked for reference:

Image

I used to deal with the stationary objects with two zones: Yellow only detected person and orange detected person and car.

Now that we have a way to tune stationary objects, I was wondering if I should merge the two zones into one and use the new detect: option to properly deal with the cars that are usually there.

Should this work? if so, any recommendations?

Version

0.10.0

Frigate config file

# mqtt
mqtt:
  host: 192.168.141.21
  user: REDACTED
  password: REDACTED

detectors:
  coral:
    type: edgetpu
    device: usb

database:
  path: /db/frigate.db

snapshots:
  enabled: True
  timestamp: True
  bounding_box: True
  crop: False
  required_zones: []
  retain:
    default: 14

model:
  labelmap:
    15: animal
    16: animal
    17: animal
    18: animal
    19: animal
    20: animal
    21: animal
    22: animal
    23: animal
    24: animal

birdseye:
  enabled: True
  width: 1920
  height: 1080
  quality: 8
  mode: motion  

### Driveway ###

cameras:
  driveway_cam:
    rtmp:
      enabled: False
    objects:
      track:
        - person
        - car
        - dog
    ffmpeg:
      inputs:
        - path: rtsp://REDACTED:REDACTED$@192.168.141.14:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - detect
#            - rtmp
            - record

    detect:
      width: 1920
      height: 1080
      fps: 5
      enabled: True

    record:
      enabled: True
      retain:
        days: 14
        mode: motion
      events:
        max_seconds: 240
        pre_capture: 5
        post_capture: 5
        retain:
          default: 14
          mode: active_objects
        objects:
          - person
          - car
          - animal
        required_zones:
          - street_driveway
          - main_driveway

    snapshots:
      enabled: True
      timestamp: True
      bounding_box: True
      crop: False
      required_zones:
        - street_driveway
        - main_driveway
      retain:
        default: 14

    motion:
      mask:
         - 1920,0,1920,610,863,432,846,687,1053,941,677,1080,0,1080,0,0

    zones:
      street_driveway:
        coordinates: 1856,763,1821,871,871,575,902,538
        objects:
          - person
          - car
      main_driveway:
        coordinates: 1328,1080,1136,983,852,575,1920,929,1920,1080
        objects:
          - person
          - dog

    objects:
      filters:
        car:
          mask:
            - 1920,0,1920,610,863,432,846,687,1053,941,677,1080,0,1080,0,0
        dog:
          mask:
            - 1920,0,1920,610,863,432,846,687,248,803,0,865,0,0
        person:
          mask:
            - 1920,0,1920,610,863,432,846,687,248,803,0,865,0,0

Relevant log output

NA

FFprobe output from your camera

NA

Frigate stats

No response

Operating system

Debian

Install method

Docker Compose

Coral version

USB

Network connection

Wired

Camera make and model

AMCREST 4K

Any other information that may be helpful

No response

[blakeblackshear]

The event will stay in progress. When you watch video of the event, you should only see portions of video where any object actually moves. You won’t be storing video of a parked car unless something else is moving.

[blakeblackshear]

A couple of pointers that would probably be helpful.

Masking the street would definitely prevent objects from being tracked as they approach your zones, so that’s likely why things are missed.

Zones are evaluated based on the bottom center of the bounding box (green dot in screenshot below), not how much the object overlaps with the zone. Based on the angle of your camera, your bounding boxes may be in areas you aren’t expecting when cars drive diagonally down the street.

In 0.10.0, parked cars will stay tracked forever. This will help prevent frigate from getting confused and swapping cars in the driveway with cars driving by. Your zone based approach should still work with this version. You could also try merging the zones into one and comparing the before and after values of the new position_changes property on the mqtt topic to only be notified when an object actually changes position.

You may want to look at the updated notification blueprint for ideas: https://github.com/blakeblackshear/frigate/discussions/2748#discussioncomment-2152948