Trinity House has published this notice through Delta eSourcing
| Notice Summary |
|---|
| Title: | STA1488 - University of Essex - Representation of GLA AtoN in AI Systems |
| Notice type: | UK7: Contract details notice |
| Authority: | Trinity House |
| Nature of contract: | Not applicable |
| Procedure: | Below threshold |
| Short 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. |
| Published: | 03/07/2025 10:46 |
STA1488 - University of Essex - Representation of GLA AtoN in AI Systems
Contracting Authorities
- Contracting authority:
- TRINITY HOUSE
- Public Procurement Organisation Number:
- PXWM-8968-LPJY
- Address:
TRINITY HOUSE, TOWER HILL, LONDON
LONDON
EC3N 4DH
UK- Contact name:
- PROCUREMENT SPECIALIST
- Email:
- etender@trinityhouse.co.uk
- Telephone:
- 01255245000
- Website:
- Not provided
- Organisation type:
- MINISTRY
- Devolved regulations that apply:
- None
Procedure
- Procedure type:
Below threshold - limited competition- Tenders received:
- 0
- Tenders assessed:
- 0
- Tenders from SMEs:
- 0
- Tenders from VCSEs:
- 0
- Special regime:
None
Scope
- Title:
- STA1488 - University of Essex - Representation of GLA AtoN in AI Systems
- Reference number:
- Not provided
- 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 value:
- Not provided
Contract Details
Contract 1
- Title:
- Not provided
- Reference number:
- Not provided
- Contract value:
- GBP 35,796.33 including VAT
- Below the relevant threshold:
- Yes
- Award decision date:
- Not provided
- Earliest date the contract will be signed:
- 28/05/2025
- Contract dates (estimated):
- 29/05/2025 to 28/02/2026
- Main procurement category:
- SERVICES
- CPV classifications:
30211400 - Computer configurations.
72221000 - Business analysis consultancy services.- Delivery regions:
Not provided
Supplier
- Supplier:
- University of Essex
- Companies House:
- RC000652
- Address:
WIVENHOE PARK, WIVENHOE, COLCHESTER
COLCHESTER
CO4 3SQ
UK- Email:
- marcia.klincke@essex.ac.uk
- Telephone:
- Not provided
- Small or medium-sized enterprise (SME):
- Yes
- Voluntary, community or social enterprise (VCSE):
- No
- Key performance indicators:
Not provided- Associated documents:
Not provided
Other organisations
Not provided