[Domínios API]

Surveillance AI Domain

The Surveillance AI module provides the real-time video analytics processing pipeline for the surveillance platform. It processes video frames through multiple AI models in parallel to detect objects, weapons, fire and s

Metadados do modulo

The Surveillance AI module provides the real-time video analytics processing pipeline for the surveillance platform. It processes video frames through multiple AI models in parallel to detect objects, weapons, fire and s

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Referencia de origem

content/modules/domain-surveillance-ai.md

Última Atualização

24 de fev. de 2026

Categoria

Domínios API

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89c4efc71a8b8a61

Etiquetas

api-domainsaireal-time

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Overview#

The Surveillance AI module provides the real-time video analytics processing pipeline for the surveillance platform. It processes video frames through multiple AI models in parallel to detect objects, weapons, fire and smoke, actions, faces, license plates, and poses, then correlates detections into verified events with severity assessment and automated incident creation.

Key Features#

  • Multi-Model Detection - Process video frames through specialized AI models for object detection, weapon detection, fire and smoke detection, action recognition, face detection, license plate recognition, and pose estimation simultaneously.

  • Four-Stage Processing Pipeline - Events flow through a structured pipeline of detection, verification, severity assessment, and incident creation to reduce false positives and ensure appropriate response.

  • Event Correlation - Correlate individual detections into meaningful events with deduplication and cooldown periods to prevent alert fatigue from repeated detections of the same activity.

  • Automated Incident Creation - Automatically create incident records for verified high-severity events, including video clip extraction with pre and post buffers for complete context.

  • Dispatch Integration - Route critical events to dispatch systems for emergency response, enabling real-time alerting on detected threats such as weapons, fires, or violent activity.

  • Per-Camera Configuration - Configure which AI models and detection profiles are active on each camera, allowing detection to be tailored to the specific monitoring needs of each location.

  • Resilient Processing - Built-in fault tolerance with automatic recovery ensures the detection pipeline continues operating even when individual AI models experience temporary issues.

Use Cases#

  • Threat Detection - Automatically detect weapons, fires, and violent activity in real-time video feeds to enable rapid emergency response.

  • Perimeter Security - Monitor facility perimeters for unauthorized access, suspicious objects, and unusual activity with automated alerting.

  • Traffic Monitoring - Detect traffic incidents, vehicle license plates, and pedestrian activity to support traffic management and law enforcement.

  • Investigation Support - Search recorded video for specific objects, faces, or license plates to support active investigations with AI-assisted video analysis.

Integration#

The Surveillance AI module connects with the broader surveillance and safety platform:

  • Surveillance Platform - Core component of the real-time video intelligence system
  • Camera Management - Receives video frames from managed camera fleet
  • Incident Management - Automatically creates incidents for critical detections
  • Dispatch - Routes critical events for emergency response
  • Zone Management - Detection profiles are configured per surveillance zone

Last Reviewed: 2026-02-24