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  "title": "Onboard Computer",
  "description": "An onboard computer that correlates video-gateway streams with locomotive operating data from the onboard data gateway for local analytics and event alerts.",
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    "kicker": "Local video and operating-data analytics",
    "productName": "Onboard Computer",
    "shortName": "Onboard Computer",
    "title": "Onboard Computer",
    "overview": "The onboard computer provides the system's local edge-compute capability. It receives standardized video streams from the onboard video gateway and locomotive operating data from the onboard data gateway, using their shared time reference to correlate both sources. Local analytics can identify track-ahead and running-gear events and create alert reports with supporting key frames.",
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    "mainImageAlt": "Railway onboard computer product image",
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      "Standardized video-gateway streams",
      "Vehicle data from the data gateway"
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    "capabilitiesTitle": "Core Functions",
    "capabilitiesDescription": "Combines standardized video streams with time-aligned vehicle operating data locally on the locomotive.",
    "capabilities": [
      {
        "title": "Local Multimodal Analytics",
        "body": "Correlates standardized video streams from the video gateway with operating data from the data gateway without relying on cloud connectivity."
      },
      {
        "title": "Track-Ahead and Running-Gear Analysis",
        "body": "Analyzes track-ahead video and running-gear imagery to help identify obstructions, rockfall, and equipment conditions."
      },
      {
        "title": "Persistent Local Models",
        "body": "Supports locally deployed, optimised models with automatic key-frame extraction and organised event archiving."
      },
      {
        "title": "Prioritised Alerts",
        "body": "Presents high-risk line events and major undercarriage faults with priority on the cab display."
      },
      {
        "title": "Offline Analysis and Caching",
        "body": "Continues analyzing locally during communications outages and stores event imagery and findings for later synchronization."
      },
      {
        "title": "Remote Model Maintenance",
        "body": "Supports incremental model updates to improve performance for track-ahead hazards and running-gear conditions."
      }
    ],
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    "scenarios": [
      "Local multimodal analysis of track obstructions, rockfall, people, and animals along the route ahead.",
      "Detection support for cracks, leakage, and detached running-gear components in imagery captured under approved operating conditions.",
      "Alert generation in tunnels with supporting high-resolution event imagery.",
      "Automatic maintenance records for track-ahead and running-gear events.",
      "Shared edge-compute capability for multiple onboard intelligent applications."
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    "complianceTitle": "Compliance Standards",
    "compliance": "Designed for applicable railway environmental, EMC and fire-performance requirements. Locally generated imagery and event snapshots can be encrypted at rest to support railway data-security audit requirements.",
    "faqDescription": "Questions about local video multimodal models, compute-unit versus video-gateway responsibilities, and continuous analysis in disconnected tunnels."
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      "answer": "The onboard computer can analyze standardized video streams from the onboard video gateway together with locomotive operating data from the onboard data gateway. Supported analytics depend on the selected model, vehicle integration, and validation plan."
    },
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      "question": "How do the onboard computer and video gateway divide work?",
      "answer": "The video gateway connects directly to the cameras and manages capture, encoding, pre-screening, and recording before outputting standardized streams. The onboard computer correlates those streams with vehicle data from the data gateway and produces local analytics and alerts."
    },
    {
      "question": "What remains available during a communications outage?",
      "answer": "The video gateway can continue local capture and recording while the onboard computer continues analyzing available streams with vehicle data from the data gateway. Local analytics and alerting can continue without cloud connectivity when included in the configured system."
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