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›Microservices

Developer Guide

  • Architecture
  • Data Model
  • Microservices

    • Multi-Graph Runner
    • Tracker
    • Pass Detector
    • Reidentifier
    • Feature Vector Clustering
    • Detection Filter
    • Video Capture

    Microservice Configuration

    • Microservice Superconfiguration
    • Configuring Multi-Graph Runner
    • Configuring Tracker
    • Configuring Pass Detector
    • Configuring Reidentifier
    • Configuring Feature Vector Clustering
    • Configuring Detection Filter
    • Configuring Video Capture

    Tools

    • Stream Configurator UI Guide
    • Configuring Detection Filter Areas
    • Configuring Passlines
  • Extending UVAP

Detection Filter

Detection Filter microservice suppliments the Object Detection Kafka topic produced by the other microservices.

Note: For each detection filter a separate microservice needs to be run.

The filter is configured by .json configuration files. For further details on the configuration, see Configuring Detection Filter.

If no areas are specified in the microservice configuration, the entire frame is considered as a positive area.

The microservice works the following way:

  1. Detection Filter checks if the detection reaches the confidence level.
  2. Detection Filter checks if the detection type matches the ones configured. If no detection types are defined, all detections are included.
  3. Detection Filter checks if the detection does not fall into a negative area.
  4. Detection Filter checks if the detection falls into a positive area. If no positive areas are defined, the detection is considered to be in a positive area.

If the detection passes all checks, it is included in the produced topic.

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