{
  "id": "AIBD-0248",
  "title": "Optage and Sanyo Electric Railway trial AI analysis of crossing cameras at three crossings, August to October 2020, with full deployment targeted for spring 2021",
  "summary": "Mynavi News (12 Aug 2020, from a press release): edge-device AI detects people including prams and wheelchairs in crossings and signals drivers via special signal lamps and an IP-VPN link to the op...",
  "date_observed": "2020-08-12",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "Mynavi News reported on 12 Aug 2020, from a press release, a field trial of AI image analysis of crossing surveillance cameras. Optage, Sanyo Electric Railway and the Sanyo Electric Railway Information Center had begun it. It ran from early August to mid-October 2020 at three crossings on Sanyo Electric Railway lines. Edge devices analyze the video in real time to detect people, including those with prams or wheelchairs. They aim to stop trains safely by signaling the driver through a special signal lamp and notifying the operations center over an IP-VPN. Accuracy in rain and at night was to be verified with K4Digital. Full deployment was targeted for spring 2021. No results are reported, and the OECD AI Incidents Monitor entry notes that no incidents had been reported.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "The trial was built to detect people in crossings in real time and alert train drivers.",
  "system": "AI image analysis of crossing cameras on edge devices with special-signal-lamp and IP-VPN alerts",
  "model_version": null,
  "developer": "Optage (with K4Digital for accuracy verification)",
  "deployer": "Sanyo Electric Railway and Sanyo Electric Railway Information Center (trial)",
  "location": null,
  "domain": "Railway safety",
  "segment": "Level-crossing obstacle detection",
  "benefit_type": "Increased Product Safety",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "societal",
      "depth": null,
      "reason": "No outcome is documented."
    },
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      "depth": null,
      "reason": "No outcome is documented."
    },
    {
      "group": "personal",
      "depth": null,
      "reason": "No outcome is documented."
    }
  ],
  "ai_role": {
    "status": "unassessed",
    "statement": "Trial design only. No detection or accuracy results were published in the sources."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "Mynavi News (12 Aug 2020). Optage / Sanyo Electric Railway AI crossing image-analysis trial (press-release based).",
      "title": "オプテージと山陽電気鉄道、AI画像解析で踏切の安全性向上を目指す実証実験",
      "url": "https://news.mynavi.jp/article/20200812-1216717",
      "date": "2020-08-12",
      "written_by": "independent",
      "quote": "雨天時や夜間の精度の検証(K4Digital社協力)も行われる"
    },
    {
      "kind": "registry label",
      "citation": "OECD AI Incidents and Hazards Monitor, incident 2020-08-11-4fb3: AI Image Analysis Trial to Enhance Railway Crossing Safety in Japan.",
      "title": "AI Image Analysis Trial to Enhance Railway Crossing Safety in Japan",
      "url": "https://oecd.ai/en/incidents/2020-08-11-4fb3",
      "date": "2020-08-11",
      "written_by": "independent",
      "quote": "The system aims to prevent accidents by alerting train operators in real time, with full deployment targeted for spring 2021."
    }
  ],
  "replication": {
    "produced_by": [
      "Existing crossing surveillance cameras",
      "Edge-device inference and a special signal lamp link",
      "A telecom partner supplying the analysis"
    ],
    "must_hold": [
      "Accuracy in rain and at night, which the trial set out to verify"
    ],
    "echoes": [
      {
        "date": "2022-11-14",
        "setting": "Seibu Railway full operation of AI crossing anomaly detection (Response.jp)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://response.jp/article/2022/11/11/363968.html"
      }
    ]
  },
  "paired_incident": null,
  "headline": "Optage and Sanyo Electric Railway trial AI crossing cameras",
  "metric": null,
  "comparator": {
    "against": "the conventional crossing-detection system (従来システム)",
    "before": "従来システムでは難しかった歩行者やベビーカー、車イスなどを含む\"人\"の検知",
    "after": "AIの画像解析技術が活用されており",
    "basis": "assumed",
    "quote": "従来システムでは難しかった歩行者やベビーカー、車イスなどを含む\"人\"の検知にAIの画像解析技術が活用されており",
    "url": "https://news.mynavi.jp/article/20200812-1216717"
  },
  "later": {
    "status": "unknown",
    "date": null,
    "note": "No source confirms whether the full deployment targeted for spring 2021 took place.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "Japan",
  "deployer_country": "Japan",
  "unrated_because": null,
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    {
      "date": "2026-10-20",
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      "source": null,
      "editor": "AIBD"
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    {
      "date": "2026-10-21",
      "change": "Added what the benefit is measured against from the cited sources.",
      "source": "https://news.mynavi.jp/article/20200812-1216717",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
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    {
      "date": "2026-10-21",
      "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
      "source": "https://ja.wikipedia.org/wiki/%E3%82%AA%E3%83%97%E3%83%86%E3%83%BC%E3%82%B8; https://en.wikipedia.org/wiki/Sanyo_Electric_Railway",
      "editor": "AIBD"
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      "date": "2026-10-21",
      "change": "Prose pass: account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
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  "confidence": "reported",
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