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Fixt•
Actualizado: Feb 19, 2025—3 min read

Detección de personas con Coral AI en Home Assistant y Frigate

Escrito por: Fixt

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Tabla de contenidos
Requisitos previosComplemento Frigate Full AccessIntegración de FrigateAdvanced Camera CardComplemento Mosquitto BrokerConfiguraciónEjemplo de cámara avanzadaBlueprint de notificaciones móviles

Destacados

Relacionados

Etiquetas

Panel
Complemento
Home-Assistant
Detección-de-presencia
Integración
Tutorial
Blueprint

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Etiquetas

Panel
Complemento
Home-Assistant
Detección-de-presencia
Integración
Tutorial
Blueprint
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Destacados

Relacionados

Etiquetas

Panel
Complemento
Home-Assistant
Detección-de-presencia
Integración
Tutorial
Blueprint
Acelerador Coral TPU
Usar los enlaces de afiliado de abajo ayuda a apoyar el canal y todo el contenido que creo 🎉🙌

Requisitos previos
#

  • Coral TPU USB Accelerator
    • Amazon
    • Aliexpress

Complemento Frigate Full Access
#

Por blakeblackshear
Open your Home Assistant instance and show the dashboard of a Supervisor add-on.

Integración de Frigate
#

Por blakeblackshear
Open your Home Assistant instance and open a repository inside the Home Assistant Community Store.

Advanced Camera Card
#

Por dermotduffy
Open your Home Assistant instance and open a repository inside the Home Assistant Community Store.

Complemento Mosquitto Broker
#

Open your Home Assistant instance and show the dashboard of a Supervisor add-on.

Configuración
#

Archivo base de configuración frigate.yaml

homeassistant/frigate.yml

detectors: 
  coral: 
    type: edgetpu 
    device: usb
 
mqtt:
  host: homeassistant.local
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  user: #your mqtt user
  password: #your mqtt password
  stats_interval: 60
 
cameras:
  #simple camera example
  entrance:
    ffmpeg:
      inputs: 
        - path: rtsp://user:password@ip:port
          roles: - record - detect
    detect:
















































📖 Preajustes de FFmpeg aquí

Ejemplo de cámara avanzada
#

homeassistant/frigate.yml

#advanced camera example
livingroom:
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-aac
      inputs:
        - path: rtsp://user:password@ip-hi-res-stream:port
          roles:
            - record
        - path: rtsp://user:password@ip-low-res-stream:port
          roles:
            - detect
    detect:
      height: 720
      fps: 5
    motion:
      mask:
        - 1280,0,1280,49,1123,0
    zones:
      fixt_desk:
        coordinates: 445,486,419,177,542,0,679,0,829,0,810,285,686,453,572,512
    snapshots:

Blueprint de notificaciones móviles
#

Open your Home Assistant instance and show the blueprint import dialog with a specific blueprint pre-filled.
height: 720
fps: 5
record:
enabled: True
retain:
days: 7
mode: all
alerts:
retain:
days: 15
mode: motion
detections:
retain:
days: 10
mode: active_objects
review:
# Optional: alerts configuration
alerts:
# Optional: labels that qualify as an alert (default: shown below)
labels:
- person
- car
detections:
# Optional: labels that qualify as a detection (default: all labels that are tracked / listened to)
labels:
- dog
- cat
ffmpeg:
hwaccel_args: preset-rpi-64-h264
objects:
track:
- person
- car
- dog
- cat
filters:
person:
# Optional: minimum width*height of the bounding box for the detected object (default: 0)
min_area: 0
# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
max_area: 100000
# Optional: minimum score for the object to initiate tracking (default: shown below)
min_score: 0.5
# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
threshold: 0.7
required_zones
:
- fixt_desk