STA1488 - University of Essex - Representation of GLA AtoN in AI Systems
Details
- Buyer
- Trinity House
- Supplier(s)
- University of Essex
- Value
- GBP 29,830.28
- Duration
- 8 months
- Topic
- Computer configurations
- Published
- 3 July 2025
- Source
- uk:find_a_tender
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 ## Contract award
Timeline
- Completed: Award published3 July 2025Current notice
- Completed: Award date3 July 2025
- Completed: Contract expiry date28 February 2026
About the buyer
Trinity House is a public sector buyer in United Kingdom publishing tenders and awards on Stotles. Explore their procurement activity and find more opportunities like this one.
Relevant CPV codes
- 30211400 · Computer configurations
- 72221000 · Business analysis consultancy services
Decision makers
Connect with the people behind this procurement.
| Contact name | Job title | Phone number | Work email |
|---|---|---|---|
| Head of Procurement | +44 •••• •••••• | ••••••••@trinity-house.gov | |
| Commercial Director | +44 •••• •••••• | ••••••••@trinity-house.gov | |
| Procurement Manager | +44 •••• •••••• | ••••••••@trinity-house.gov | |
| Category Lead | +44 •••• •••••• | ••••••••@trinity-house.gov | |
| Senior Buyer | +44 •••• •••••• | ••••••••@trinity-house.gov | |
| Contracts Manager | +44 •••• •••••• | ••••••••@trinity-house.gov |
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