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

TRINITY HOUSE

There is 1 contract in this contracting process.

Summary of the contracting process

The contracting authority, TRINITY HOUSE, located in London, has completed a procurement process under the title "STA1488 - University of Essex - Representation of GLA AtoN in AI Systems." This procurement, which falls under the services category, involves the representation of General Lighthouse Authority's (GLA) Aids to Navigation (AtoN) in AI systems and aims to enhance interaction between maritime autonomous systems and existing maritime infrastructure. The procurement method was limited and below the threshold with the award being active as of the 3rd of July, 2025. The project is based in the United Kingdom and involves a contract running from 29th May 2025 to 28th February 2026, focusing on computer configurations and business analysis consultancy services, with a total contract value of £29,830.28 (excluding VAT).

This tender presents significant business opportunities for firms specialising in maritime AI systems, particularly those with expertise in machine vision and AtoN technology. The collaboration with the University of Essex highlights potential for those in academia or SMEs looking to engage in similar government projects related to maritime safety and technology. The well-suited businesses are likely those already possessing a strong foundation in AI systems, strategic consultancy services, and a commitment to enhancing maritime operational safety through technological integration. The involvement of a central government public authority like TRINITY HOUSE further underscores the potential prestige and credibility associated with successfully securing such contracts.

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Award, Contract

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

TRINITY HOUSE

Contract Timeline

Publication Date

3rd July 2025 11:05:06 AM
Contract Summary

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
Contract Details

Open Contracting ID

ocds-h6vhtk-055831

Publication Source

Find a Tender Service

Procurement Stage

Award, Contract

Procurement Method

Limited

Procurement Method Details

Below Threshold - Limited Competition

Procurement Category

N/A

Tender Suitability

Framework / DPS
Contract Classification

CPV Code(s)

CPV Division(s)
Awarding Authority

TRINITY HOUSE

Buyer Name

PROCUREMENT SPECIALIST

Buyer Email

etender@trinityhouse.co.uk

Buyer Phone

01255245000

Buyer Address

TRINITY HOUSE, TOWER HILL, LONDON

LONDON

EC3N 4DH

United Kingdom
Awarded Supplier(s)

Supplier Name(s)

UNIVERSITY OF ESSEX

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

TRINITY HOUSE

Contract Timeline

Contract Summary

Contract Details

Contract Classification

Awarding Authority

Awarded Supplier(s)