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STA1488 - University of Essex - Representation of GLA AtoN in AI Systems

TRINITY HOUSE

Buyer Contact Info

Buyer Name: TRINITY HOUSE

Buyer Address: TRINITY HOUSE, TOWER HILL, LONDON, LONDON, UKI31, EC3N 4DH, United Kingdom

Contact Name: PROCUREMENT SPECIALIST

Contact Email: etender@trinityhouse.co.uk

Contact Telephone: 01255245000

Status
complete
Procedure
limited
Value
29830.28 GBP
Published
03 Jul 2025, 11:05
Deadline
n/a
Contract Start
28 May 2025, 23:00
Contract End
28 Feb 2026, 23:59
Category
n/a
CPV
30211400 - Computer configurations
Region
n/a
Awarded To
University of Essex
Official Source
Open Find a Tender

Description

As the adoption of the Maritime Autonomous Surface Ships (MASS) technology continues to grow, it is crucial to ensure the seamless interaction between MASS and the existing maritime infrastructure. Therefore, it is essential to ascertain whether machine vision systems, integral to the autonomy of MASS, perceive AtoN accurately enough to guarantee safe and efficient operations. GRAD in collaboration with the University of Essex (UoE), recently completed a research project, which demonstrated the feasibility of using machine vision systems for detecting and classifying AtoNs, with high accuracy. To view this notice, please click here: https://trinityhouse.delta-esourcing.com/delta/viewNotice.html?noticeId=962252395

Linked Documents

No linked documents found for this notice.

Opportunity Context

Lots

Lot 1 Status: complete

Raw Notice JSON

Expand raw payload
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