STA1488 - University of Essex - Representation of GLA AtoN in AI Systems
Buyer: Trinity House
- Published
- 3 July 2025
- Estimated value
- £29,830
- Procedure
- Direct award
- Lots
- 1
- Notice number
- 037063-2025
- Reference
- ocds-h6vhtk-055831
- Official source
- Official source
CPV codes
- 30211400Computer configurations
- 72221000Business analysis consultancy services
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
Awards
| Awarded to | Amount | Date |
|---|---|---|
| University of Essex | £29,830 | — |
Official publications
- FTS · 037063-2025 · 3 July 2025
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Frequently asked questions
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- The estimated value published by the buyer is £29,830.
- Who is the buyer of this tender?
- The contracting authority is Trinity House (United Kingdom).
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