{ "id": "AIBD-0308", "title": "OPTiM begins a trial of its “AI Physical Security Service” AI camera monitoring at two JR Kyushu stations, Wajiro and Futajima, from 10 October 2017", "summary": "OPTiM's release says its cloud AI monitors station camera video in real time, recognizing people, trains and the platform yellow line, and alerts administrators on anomalies; no results published.", "date_observed": "2017-10-10", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "OPTiM Corporation announced on 6 October 2017 a demonstration trial of its “AI Physical Security Service” from 10 October 2017. It would run at two Kyushu Railway Company (JR Kyushu) stations: 和白駅 (Wajiro) on the Kashii Line and 二島駅 (Futajima) on the Chikuho Main Line. The service, on “OPTiM Cloud IoT OS”, has AI monitor network-camera video in real time. When it detects an anomaly, it shows an alert and emails administrators. This is to reduce the burden on operators who watch many monitors and to raise safety in the station. The release includes an image of station camera analysis identifying people, trains and the yellow platform line. The release is the only source (on optim.co.jp and republished by @Press). JR Kyushu is not quoted, no trial end date, detection target list or result is given, and no later report of outcomes was found. Station romanizations are ours.", "category": "general benefit", "unexpected": false, "purpose": "Trial of AI video monitoring to detect anomalies on station platforms and alert administrators. No detection event is documented.", "system": "AI Physical Security Service (AI surveillance-camera service on OPTiM Cloud IoT OS)", "model_version": null, "developer": "OPTiM Corporation", "deployer": "Kyushu Railway Company (JR Kyushu), trial at two stations", "location": "Wajiro (Kashii Line) and Futajima (Chikuho Main Line) stations, JR Kyushu, Japan", "domain": "Railway safety / station platform monitoring", "segment": "Station platform monitoring", "benefit_type": "Increased Product Safety", "taxonomy_note": "A trial announcement with no result, whose stated aims are station safety alerts and a lighter monitoring load for operators.", "registry_ids": {}, "ratings": [ { "group": "organizational", "depth": null, "reason": "Only OPTiM's announcement exists. No trial result, alert count or staffing effect was published." }, { "group": "personal", "depth": null, "reason": "No passenger safety outcome is documented." } ], "ai_role": { "status": "unassessed", "statement": "No event is reported. The AI's role is described only in the vendor's launch release (real-time video monitoring, anomaly alerts, email to administrators). No account from JR Kyushu was found." }, "evidence": [ { "kind": "press release", "citation": "OPTiM Corporation (2017). AI（人工知能）を用いて異常を検知、JR九州の駅をご利用になるお客様のより高い安全性向上を目的とした「AI Physical Security Service」の実証実験を開始. Press release, 6 October 2017.", "title": "AI（人工知能）を用いて異常を検知、JR九州の駅をご利用になるお客様のより高い安全性向上を目的とした「AI Physical Security Service」の実証実験を開始", "url": "https://www.optim.co.jp/news-detail/23884", "date": "2017-10-06", "written_by": "makers", "quote": "ネットワークカメラなどで撮影されている映像をAI（人工知能）がリアルタイムで監視し、異常を検知した際にアラート表示をしたり、管理者へアラートメール送信を行う" }, { "kind": "press release", "citation": "OPTiM Corporation (2017). The same release republished by @Press, 6 October 2017.", "title": "「AI Physical Security Service」の実証実験を開始", "url": "https://www.atpress.ne.jp/news/139924", "date": "2017-10-06", "written_by": "makers", "quote": "10月10日よりJR九州香椎線和白駅、筑豊本線二島駅において実施" }, { "kind": "news report", "citation": "Kabutan / Fisco (2018). オプティム---「AI Physical Security Service」の実証実験を実施、目標を上回る検知率を達成. Kabutan market news, 27 June 2018 (reporting OPTiM's announcement of 26 June 2018).", "title": "オプティム---「AI Physical Security Service」の実証実験を実施、目標を上回る検知率を達成", "url": "https://kabutan.jp/news/marketnews/?b=n201806270161", "date": "2018-06-27", "written_by": "independent", "quote": null } ], "replication": { "produced_by": [ "Network cameras at two JR Kyushu stations streamed to OPTiM's cloud AI service", "Real-time analysis identifying people, trains and the platform yellow line and flagging anomalies", "Alert display and email to administrators" ], "must_hold": [ "Operators or administrators who act on the alerts; the release gives no response procedure", "Detection accuracy adequate for station use; no figures were published" ], "echoes": [] }, "paired_incident": null, "headline": "OPTiM trials AI camera monitoring at two JR Kyushu stations", "metric": null, "comparator": null, "later": { "status": "scaled", "date": "2018-06-26", "note": "OPTiM announced on 26 June 2018 that a trial of the same service with Itec Hankyu Hanshin at JR Sawa station on the Joban Line achieved a 96.2% detection rate of people or objects crossing the platform's yellow line while no train was present, against a 90% target; no result for the JR Kyushu stations was found.", "quote": "オプティム< 3694 >は26日、アイテック阪急阪神(本社:大阪府大阪市)と共同でJR常盤線佐和駅において、オプティムが提供する「AI Physical Security Service」の実証実験を実施し、目標を上回る検知率96.2％を達成したと発表。今回、目標として設定した検知率(電車が駅に不在時に、ホーム際の黄色い線より線路側に人もしくは物体が侵入した際にAIが検知した割合)は90％としていた。", "url": "https://kabutan.jp/news/marketnews/?b=n201806270161" }, "value": null, "developer_country": "Japan", "deployer_country": "Japan", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "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" }, { "date": "2026-10-21", "change": "Added what happened since from the cited sources.", "source": "https://kabutan.jp/news/marketnews/?b=n201806270161", "editor": "AIBD" }, { "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%82%A3%E3%83%A0; https://en.wikipedia.org/wiki/Kyushu_Railway_Company", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" } ], "confidence": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: one independent news report and two press releases from the makers. The cited evidence includes no independent study or report and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0308", "catalog_version": "1.0.0", "source_fingerprint": "5426aa4b23877ccb217cf2223505c2c5d2cd656e33221de9c9bbced0042d7bff", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" }, { "collection_id": "chanticleer", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0308-source-0001", "AIBD-0308-source-0002", "AIBD-0308-source-0003" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "developer": "OPTiM Corporation", "deployer": "Kyushu Railway Company (JR Kyushu), trial at two stations" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "developer", "deployer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "category": "general benefit", "ai_role": { "status": "unassessed", "statement": "No event is reported. The AI's role is described only in the vendor's launch release (real-time video monitoring, anomaly alerts, email to administrators). No account from JR Kyushu was found." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role", "category" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].alternatives": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].assessor_date": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].depth": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].display_confidence": { "state": "value_present", "value": { "kind": "structured", "data": { "confidence": "medium", "evidence_word": "reported", "claim_status": "Independently reported", "basis": "Sources: one independent news report and two press releases from the makers. The cited evidence includes no independent study or report and no finding by a regulator or court.", "interpretation": "Existing display rule preserved; the richer outcome-specific confidence question still needs review." } }, "provenance": { "kind": "curatorial", "basis": "Derived from the existing case display properties; not a new evidentiary judgment.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].rationale": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "organizational", "reason": "Only OPTiM's announcement exists. No trial result, alert count or staffing effect was published." }, { "group": "personal", "reason": "No passenger safety outcome is documented." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].rubric_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].status_basis": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].target": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "organizational", "reason": "Only OPTiM's announcement exists. No trial result, alert count or staffing effect was published." }, { "group": "personal", "reason": "No passenger safety outcome is documented." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "availability": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "brief": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "case_kind": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "case_links[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "claims[].evidence_links": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "claims[].evidence_strength": { "state": "not_assessed", "review_state": "not_assessed", "coverage": 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"review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].realization": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].recipient_payer": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].return_payback": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].valuation_method": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "evaluations[].ai_uplift": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "evaluations" }, "evaluations[].comparator": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "evaluations" }, "evaluations[].design": { "state": 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Service」の実証実験を実施し、目標を上回る検知率96.2％を達成したと発表。今回、目標として設定した検知率(電車が駅に不在時に、ホーム際の黄色い線より線路側に人もしくは物体が侵入した際にAIが検知した割合)は90％としていた。", "url": "https://kabutan.jp/news/marketnews/?b=n201806270161" } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "later" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "human_oversight": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "id": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "id": "AIBD-0308" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "id" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "infrastructure_dependencies[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].beneficiaries": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].beneficiary_count": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].benefit_type": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "benefit_type": "Increased Product Safety", "taxonomy_note": "A trial announcement with no result, whose stated aims are station safety alerts and a lighter monitoring load for operators." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "benefit_type", "taxonomy_note" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].claim": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "OPTiM Corporation announced on 6 October 2017 a demonstration trial of its “AI Physical Security Service” from 10 October 2017. It would run at two Kyushu Railway Company (JR Kyushu) stations: 和白駅 (Wajiro) on the Kashii Line and 二島駅 (Futajima) on the Chikuho Main Line. The service, on “OPTiM Cloud IoT OS”, has AI monitor network-camera video in real time. When it detects an anomaly, it shows an alert and emails administrators. This is to reduce the burden on operators who watch many monitors and to raise safety in the station. The release includes an image of station camera analysis identifying people, trains and the yellow platform line. The release is the only source (on optim.co.jp and republished by @Press). JR Kyushu is not quoted, no trial end date, detection target list or result is given, and no later report of outcomes was found. Station romanizations are ours.", "benefit_type": "Increased Product Safety" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].distribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].duration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].id": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].stakeholder_group": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "organizational", "reason": "Only OPTiM's announcement exists. No trial result, alert count or staffing effect was published." }, { "group": "personal", "reason": "No passenger safety outcome is documented." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].status": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].tradeoffs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].unexpected": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "unexpected": false, "purpose": "Trial of AI video monitoring to detect anomalies on station platforms and alert administrators. No detection event is documented." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "unexpected", "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "places[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "location": "Wajiro (Kashii Line) and Futajima (Chikuho Main Line) stations, JR Kyushu, Japan", "developer_country": "Japan", "deployer_country": "Japan" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "location", "developer_country", "deployer_country" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "purpose": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "purpose": "Trial of AI video monitoring to detect anomalies on station platforms and alert administrators. 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AI（人工知能）を用いて異常を検知、JR九州の駅をご利用になるお客様のより高い安全性向上を目的とした「AI Physical Security Service」の実証実験を開始. Press release, 6 October 2017.", "title": "AI（人工知能）を用いて異常を検知、JR九州の駅をご利用になるお客様のより高い安全性向上を目的とした「AI Physical Security Service」の実証実験を開始", "url": "https://www.optim.co.jp/news-detail/23884", "date": "2017-10-06", "written_by": "makers", "quote": "ネットワークカメラなどで撮影されている映像をAI（人工知能）がリアルタイムで監視し、異常を検知した際にアラート表示をしたり、管理者へアラートメール送信を行う" }, { "kind": "press release", "citation": "OPTiM Corporation (2017). The same release republished by @Press, 6 October 2017.", "title": "「AI Physical Security Service」の実証実験を開始", "url": "https://www.atpress.ne.jp/news/139924", "date": "2017-10-06", "written_by": "makers", "quote": "10月10日よりJR九州香椎線和白駅、筑豊本線二島駅において実施" }, { "kind": "news report", "citation": "Kabutan / Fisco (2018). オプティム---「AI Physical Security Service」の実証実験を実施、目標を上回る検知率を達成. Kabutan market news, 27 June 2018 (reporting OPTiM's announcement of 26 June 2018).", "title": "オプティム---「AI Physical Security Service」の実証実験を実施、目標を上回る検知率を達成", "url": "https://kabutan.jp/news/marketnews/?b=n201806270161", "date": "2018-06-27", "written_by": "independent" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].id": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "AIBD-0308-source-0001", "AIBD-0308-source-0002", "AIBD-0308-source-0003" ], "role": "Existing evidence items, in their original order" }, "provenance": { "kind": "curatorial", "basis": "Stable within the fingerprinted record version; no source content or source review has been added.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "sources[].language": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "press release", "citation": "OPTiM Corporation (2017). AI（人工知能）を用いて異常を検知、JR九州の駅をご利用になるお客様のより高い安全性向上を目的とした「AI Physical Security Service」の実証実験を開始. Press release, 6 October 2017.", "title": "AI（人工知能）を用いて異常を検知、JR九州の駅をご利用になるお客様のより高い安全性向上を目的とした「AI Physical Security Service」の実証実験を開始", "url": "https://www.optim.co.jp/news-detail/23884", "date": "2017-10-06", "written_by": "makers", "quote": "ネットワークカメラなどで撮影されている映像をAI（人工知能）がリアルタイムで監視し、異常を検知した際にアラート表示をしたり、管理者へアラートメール送信を行う" }, { "kind": "press release", "citation": "OPTiM Corporation (2017). The same release republished by @Press, 6 October 2017.", "title": "「AI Physical Security Service」の実証実験を開始", "url": "https://www.atpress.ne.jp/news/139924", "date": "2017-10-06", "written_by": "makers", "quote": "10月10日よりJR九州香椎線和白駅、筑豊本線二島駅において実施" }, { "kind": "news report", "citation": "Kabutan / Fisco (2018). オプティム---「AI Physical Security Service」の実証実験を実施、目標を上回る検知率を達成. Kabutan market news, 27 June 2018 (reporting OPTiM's announcement of 26 June 2018).", "title": "オプティム---「AI Physical Security Service」の実証実験を実施、目標を上回る検知率を達成", "url": "https://kabutan.jp/news/marketnews/?b=n201806270161", "date": "2018-06-27", "written_by": "independent" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].upstream_sources": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "strategic_assessments[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "strategic assessments" }, "summary": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "summary": "OPTiM's release says its cloud AI monitors station camera video in real time, recognizing people, trains and the platform yellow line, and alerts administrators on anomalies; no results published.", "account": "OPTiM Corporation announced on 6 October 2017 a demonstration trial of its “AI Physical Security Service” from 10 October 2017. It would run at two Kyushu Railway Company (JR Kyushu) stations: 和白駅 (Wajiro) on the Kashii Line and 二島駅 (Futajima) on the Chikuho Main Line. The service, on “OPTiM Cloud IoT OS”, has AI monitor network-camera video in real time. When it detects an anomaly, it shows an alert and emails administrators. This is to reduce the burden on operators who watch many monitors and to raise safety in the station. The release includes an image of station camera analysis identifying people, trains and the yellow platform line. The release is the only source (on optim.co.jp and republished by @Press). JR Kyushu is not quoted, no trial end date, detection target list or result is given, and no later report of outcomes was found. Station romanizations are ours." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "system": "AI Physical Security Service (AI surveillance-camera service on OPTiM Cloud IoT OS)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "OPTiM Corporation" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "OPTiM begins a trial of its “AI Physical Security Service” AI camera monitoring at two JR Kyushu stations, Wajiro and Futajima, from 10 October 2017", "headline": "OPTiM trials AI camera monitoring at two JR Kyushu stations" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "5426aa4b23877ccb217cf2223505c2c5d2cd656e33221de9c9bbced0042d7bff" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "OPTiM Corporation announced on 6 October 2017 a demonstration trial of its “AI Physical Security Service” from 10 October 2017. It would run at two Kyushu Railway Company (JR Kyushu) stations: 和白駅 (Wajiro) on the Kashii Line and 二島駅 (Futajima) on the Chikuho Main Line. The service, on “OPTiM Cloud IoT OS”, has AI monitor network-camera video in real time. When it detects an anomaly, it shows an alert and emails administrators. This is to reduce the burden on operators who watch many monitors and to raise safety in the station. The release includes an image of station camera analysis identifying people, trains and the yellow platform line. The release is the only source (on optim.co.jp and republished by @Press). JR Kyushu is not quoted, no trial end date, detection target list or result is given, and no later report of outcomes was found. Station romanizations are ours.", "replication": { "produced_by": [ "Network cameras at two JR Kyushu stations streamed to OPTiM's cloud AI service", "Real-time analysis identifying people, trains and the platform yellow line and flagging anomalies", "Alert display and email to administrators" ], "must_hold": [ "Operators or administrators who act on the alerts; the release gives no response procedure", "Detection accuracy adequate for station use; no figures were published" ], "echoes": [] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" } }, "summary": { "total": 91, "addressed": 91, "known": 26, "reviewed": 0, "record_mapped": 26, "not_assessed": 65, "complete": false, "by_state": { "value_present": 26, "not_reported": 0, "unresolved": 0, "not_assessed": 65, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }