United States, New York City
Metropolitan Transportation Authority (New York)
AI video analytics for weapons, unattended items and unsafe behaviour on subway and bus cameras
ProposedOfficial publicationPAI-DBB45D05
- Body
- Metropolitan Transportation Authority (New York)
- Country
- United States
- Area
- New York City
- Technology
- AI video analytics for weapons, unattended items and unsafe behaviour on subway and bus cameras
- Supplier
- Not stated in the source
- Status
- Proposed
Planned by a named body: a procurement, approved budget, announced pilot or consultation. Not yet in use. - Stage
- On the horizon
- Since
- Not known
- Legal basis
- Not stated in the source
- Oversight
- Not stated in the source
- Evidence
- Official publication
Police force, government department or public body publication - Source
- MTA, Request for Information 0000532398, 5 December 2025
- Last checked
- Record code
PAI-DBB45D05
Notes
The MTA issued Request for Information No. 0000532398, 'AI Video Analytics for Forbidden Objects, Unattended Items, Unsafe Behaviors', dated 5 December 2025, with responses due 30 December 2025. The document says the MTA is gathering information to inform a possible 'Proof of Value' for a scalable system that analyses video from cameras on subway cars and buses, covering identification of weapons, firearms and other hazardous materials, unattended items, and systems that 'Detect and predict unsafe or anomalous behaviors', including high-density crowd surges. It notes that more than 15,000 cameras across about 472 subway stations are monitored manually. It states that the RFI does not constitute a solicitation or a commitment and that no contract will be awarded from it. An earlier version of the RFI on the MTA site carries a date of 4 December 2025 and earlier deadlines. The RFI names no vendor, pilot or budget and does not say who would receive alerts. GovTech reported on 2 May 2025 that the MTA's chief security officer, Michael Kemper, said AI software could eventually help the agency and law enforcement spot problematic behaviour in real time, with alerts going to security guards or police officers, and that facial recognition would reportedly not be part of the effort. Listed as proposed on the basis of this exploratory step; the MTA document does not show a decision to procure.
AI video analytics for weapons, unattended items and unsafe behaviour on subway and bus cameras elsewhere in United States
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