Awarded

University of Essex - Representation of GLA AtoN in AI Systems

Descriptions

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.

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https://trinityhouse.delta-esourcing.com/delta/viewNotice.html?noticeId=962252395

Timeline

Published Date :

3rd Jul 2025 9 days ago

Deadline :

N/A

Tender Awarded :

1 Supplier

Awarded date :

N/A

Contract Start :

N/A

Contract End :

N/A

Tender Regions

North West South West North East East of England Yorkshire and The Humber South East East Midlands West Midlands Ireland Wales Scotland Northern Ireland London

CPV Codes

72221000 - Business analysis consultancy services

30211400 - Computer configurations

Tender Lot Details

1 Tender Lot

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Workflows

Status :

Awarded

Assign to :

Tender Progress :

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

020044-2024.pdf

Buyer Information

Name :

The City of Liverpool College

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors