{
  "id": "AIBD-0246",
  "title": "Odakyu Electric Railway starts an AI crossing image-analysis system at four Odawara Line crossings that signals approaching trains to stop when people are left inside",
  "summary": "ITmedia (22 Jun 2026): from 24 Jun 2026 AI analyzes existing crossing cameras, tracks pedestrians, wheelchair users, cyclists and motorcyclists and sends a brake signal to approaching trains; devel...",
  "date_observed": "2026-06-24",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "ITmedia's 岡田有花 reported on 22 Jun 2026 that Odakyu Electric Railway would introduce an “AI踏切画像解析システム” from 24 June 2026. It covers four crossings on its Odawara Line. They are Minami-Shinjuku Nos. 2, 4 and 5 between Minami-Shinjuku and Sangubashi stations, and Mukogaoka-Yuen No. 9 between Mukogaoka-Yuen and Ikuta stations. The AI analyzes footage from the existing safety-confirmation cameras in real time. It identifies and tracks pedestrians, wheelchair users, bicycles and motorcycles. When it detects someone left inside after the barriers come down, it sends a signal through the signaling equipment. That applies the brakes of approaching trains and lights the crossing's special signal lamps to alert crews. Both are released automatically once the crossing is clear. Images are used only for hazard detection, not to identify individuals, and analysis data are destroyed within a year. The system was developed by Meitetsu EI Engineer, Toyota Systems and Toho Electric Industries. It was trialed from January 2023, with work on detection accuracy at night and in rain. railf.jp carried the same announcement on 25 Jun 2026. No detection events or outcomes are reported.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "The system is built to detect people left inside a closed crossing and stop approaching trains automatically.",
  "system": "AI踏切画像解析システム (AI crossing image-analysis system) using existing crossing cameras linked to signaling equipment",
  "model_version": null,
  "developer": "Meitetsu EI Engineer, Toyota Systems and Toho Electric Industries",
  "deployer": "Odakyu Electric Railway",
  "location": null,
  "domain": "Railway safety",
  "segment": "Level-crossing obstacle detection",
  "benefit_type": "Increased Product Safety",
  "taxonomy_note": "Launch only; the automatic brake signal is a failsafe with no stop event documented.",
  "registry_ids": {},
  "ratings": [
    {
      "group": "societal",
      "depth": null,
      "reason": "No outcome is documented; the sources describe the start of operation."
    },
    {
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      "depth": null,
      "reason": "No operational outcome is documented."
    },
    {
      "group": "personal",
      "depth": null,
      "reason": "No individual outcome is documented."
    }
  ],
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    "status": "unassessed",
    "statement": "The sources describe the intended detection-to-brake chain and the trial period; no detections, false alarms or accuracy figures are reported."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "岡田有花 (22 Jun 2026). 踏切に取り残された人をAIで検知→列車を自動停止 小田急が実運用. ITmedia NEWS.",
      "title": "踏切に取り残された人をAIで検知→列車を自動停止 小田急が実運用",
      "url": "https://www.itmedia.co.jp/news/articles/2606/22/news125.html",
      "date": "2026-06-22",
      "written_by": "independent",
      "quote": "名鉄EIエンジニア、トヨタシステムズ、東邦電機工業が開発し、2023年1月からの実証を行ってきた。"
    },
    {
      "kind": "news report",
      "citation": "railf.jp (25 Jun 2026). 小田急，AIを活用した踏切画像解析システムを導入.",
      "title": "小田急，AIを活用した踏切画像解析システムを導入",
      "url": "https://railf.jp/news/2026/06/25/041500.html",
      "date": "2026-06-25",
      "written_by": "independent",
      "quote": "踏切内の取り残しが解消された場合は、これらの措置は自動で解除される"
    },
    {
      "kind": "registry label",
      "citation": "OECD AI Incidents and Hazards Monitor, incident 2026-06-22-b4f8: AI System Deployed to Prevent Railway Crossing Accidents in Japan.",
      "title": "AI System Deployed to Prevent Railway Crossing Accidents in Japan",
      "url": "https://oecd.ai/en/incidents/2026-06-22-b4f8",
      "date": "2026-06-22",
      "written_by": "independent",
      "quote": "The system analyzes real-time camera footage to detect pedestrians, cyclists, and others left inside crossings, automatically triggering train stops to prevent accidents."
    }
  ],
  "replication": {
    "produced_by": [
      "Existing crossing cameras with sufficient coverage of the enclosed area",
      "Integration with signaling equipment able to command train braking",
      "Three years of trials covering night and rain"
    ],
    "must_hold": [
      "Detection accuracy holds in poor weather and lighting",
      "False detections do not stop trains so often that the function is disabled",
      "Signaling interlocks remain in place"
    ],
    "echoes": [
      {
        "date": "2022-11-14",
        "setting": "Seibu Railway's AI and 3D-image crossing anomaly detection in full operation at three crossings, alerting drivers by special signal lamps (Response.jp)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://response.jp/article/2022/11/11/363968.html"
      },
      {
        "date": "2020-08-12",
        "setting": "Optage and Sanyo Electric Railway trial of AI crossing-camera analysis at three crossings (Mynavi News)",
        "model_version": null,
        "outcome": "unknown",
        "source": "https://news.mynavi.jp/article/20200812-1216717"
      }
    ]
  },
  "paired_incident": null,
  "headline": "Odakyu to brake trains when cameras see someone inside a crossing",
  "metric": null,
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  "later": {
    "status": "unknown",
    "date": null,
    "note": "No development after the 24 June 2026 start was found; railf.jp says only that wider operation will be considered.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "Japan",
  "deployer_country": "Japan",
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      "date": "2026-10-20",
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      "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/",
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      "source": "https://ja.wikipedia.org/wiki/%E5%90%8D%E9%89%84EI%E3%82%A8%E3%83%B3%E3%82%B8%E3%83%8B%E3%82%A2",
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      "source": "https://en.wikipedia.org/wiki/Odakyu_Electric_Railway",
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  "confidence": "reported",
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            "account": "ITmedia's 岡田有花 reported on 22 Jun 2026 that Odakyu Electric Railway would introduce an “AI踏切画像解析システム” from 24 June 2026. It covers four crossings on its Odawara Line. They are Minami-Shinjuku Nos. 2, 4 and 5 between Minami-Shinjuku and Sangubashi stations, and Mukogaoka-Yuen No. 9 between Mukogaoka-Yuen and Ikuta stations. The AI analyzes footage from the existing safety-confirmation cameras in real time. It identifies and tracks pedestrians, wheelchair users, bicycles and motorcycles. When it detects someone left inside after the barriers come down, it sends a signal through the signaling equipment. That applies the brakes of approaching trains and lights the crossing's special signal lamps to alert crews. Both are released automatically once the crossing is clear. Images are used only for hazard detection, not to identify individuals, and analysis data are destroyed within a year. The system was developed by Meitetsu EI Engineer, Toyota Systems and Toho Electric Industries. It was trialed from January 2023, with work on detection accuracy at night and in rain. railf.jp carried the same announcement on 25 Jun 2026. No detection events or outcomes are reported.",
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                "title": "踏切に取り残された人をAIで検知→列車を自動停止 小田急が実運用",
                "url": "https://www.itmedia.co.jp/news/articles/2606/22/news125.html",
                "date": "2026-06-22",
                "written_by": "independent",
                "quote": "名鉄EIエンジニア、トヨタシステムズ、東邦電機工業が開発し、2023年1月からの実証を行ってきた。"
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                "title": "踏切に取り残された人をAIで検知→列車を自動停止 小田急が実運用",
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        "coverage": "partial"
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        "review_state": "not_assessed",
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        "state": "not_assessed",
        "review_state": "not_assessed",
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        "coverage": "partial"
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          "kind": "record_fields",
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            "title": "Odakyu Electric Railway starts an AI crossing image-analysis system at four Odawara Line crossings that signals approaching trains to stop when people are left inside",
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            "account": "ITmedia's 岡田有花 reported on 22 Jun 2026 that Odakyu Electric Railway would introduce an “AI踏切画像解析システム” from 24 June 2026. It covers four crossings on its Odawara Line. They are Minami-Shinjuku Nos. 2, 4 and 5 between Minami-Shinjuku and Sangubashi stations, and Mukogaoka-Yuen No. 9 between Mukogaoka-Yuen and Ikuta stations. The AI analyzes footage from the existing safety-confirmation cameras in real time. It identifies and tracks pedestrians, wheelchair users, bicycles and motorcycles. When it detects someone left inside after the barriers come down, it sends a signal through the signaling equipment. That applies the brakes of approaching trains and lights the crossing's special signal lamps to alert crews. Both are released automatically once the crossing is clear. Images are used only for hazard detection, not to identify individuals, and analysis data are destroyed within a year. The system was developed by Meitetsu EI Engineer, Toyota Systems and Toho Electric Industries. It was trialed from January 2023, with work on detection accuracy at night and in rain. railf.jp carried the same announcement on 25 Jun 2026. No detection events or outcomes are reported.",
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              "produced_by": [
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                "Three years of trials covering night and rain"
              ],
              "must_hold": [
                "Detection accuracy holds in poor weather and lighting",
                "False detections do not stop trains so often that the function is disabled",
                "Signaling interlocks remain in place"
              ],
              "echoes": [
                {
                  "date": "2022-11-14",
                  "setting": "Seibu Railway's AI and 3D-image crossing anomaly detection in full operation at three crossings, alerting drivers by special signal lamps (Response.jp)",
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                  "source": "https://response.jp/article/2022/11/11/363968.html"
                },
                {
                  "date": "2020-08-12",
                  "setting": "Optage and Sanyo Electric Railway trial of AI crossing-camera analysis at three crossings (Mynavi News)",
                  "outcome": "unknown",
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                }
              ]
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        "provenance": {
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
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    },
    "summary": {
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      "complete": false,
      "by_state": {
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        "not_reported": 0,
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        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}