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Xtract One Gateway scanners flag 1,546 items at a Winnipeg hospital

CBC reports, from Shared Health's FOI response, that AI weapons scanners at Winnipeg's Health Sciences Centre detected 1,546 potentially harmful items between 8 March and 20 November 2025.

  • 2 for an organization

    Shared Health's counts show 1,546 potentially harmful items detected at the doors in eight months.

  • Not rated a person

    The report gives no measure of assaults on staff or patients before and after the scanners.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreported, the grade of this benefitclaimed

An independent news report supports the benefit.

Size

No magnitude yet: distribution is not documented.

The system’s part
Not isolated. The counts are Shared Health's outputs from the scanners. The report does not say how many detections were weapons, since the minister's office said that the items include nail files, tools and syringes. It does not compare the scanners with security searches or measure violence. The company's detection rates come from its own testing, and the reports do not show how the system learns from data.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Reduced Violence
System
Xtract One Gateway AI weapons detection scanners
Made by
Xtract One Technologies
Used by
Shared Health (Health Sciences Centre, Winnipeg)
Where
Winnipeg, Manitoba, Canada
Stage
In routine use
Date
Kind
Aggregate result
Broad benefit
Physical health (crime reduction or prevention)
Last revised
1 November 2026

Sources

  1. News report, by authors with no tie to the system.

    Graham Sceviour-Fraehlich (2026). AI scanners at Health Sciences Centre detected more than 1,500 potential weapons last year. CBC News, 19 February 2026.

    The 1,546 potentially harmful items detected during that period at Health Sciences Centre in Winnipeg work out to an average of six per day between March 8 and Nov. 20, 2025.
    Shared Health's response to the freedom of information request, received on Feb. 5, says the data "includes weapons seized/detected from the scanner excluding alcohol and drugs found."
  2. Press release, by the makers. Context or contrary evidence.

    Xtract One Technologies (2025). Xtract One Technologies to be used for Hospital Weapons Detection Screening in Manitoba. Press release, 7 February 2025.

    today announced its Xtract One Gateway ("Gateway") has been selected to protect key hospital locations in Manitoba, including at the province's Health Sciences Centre and Crisis Response Centre locations operated by Shared Health.

Details

AI system

Workflow

Walk-through scanners at the emergency and crisis response entrances screened people and their bags. Security staff at the entrances acted on each detection.

Follow-up

Conditions for replication

Entrances must be staffed while the scanners run. Detected items must be seized or kept out for the count to mean fewer weapons inside.

Entry details

Sector

Public safety / weapons detection.

Purpose

Xtract One Technologies built the Gateway scanner to detect weapons on people and in their bags as they walk through an entrance, while passing harmless items such as phones and keys.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this benefit

Peter H. Vartanian. (2026). Xtract One Gateway scanners flag 1,546 items at a Winnipeg hospital (AIBD-1190). Artificial Intelligence Benefits Database, edition of 2 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1190.html (archived at https://doi.org/10.7910/DVN/AADSII, version 9.0)

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