STA1488 - University of Essex - Representation of GLA AtoN in AI Systems
This is a contract result notice, not an open opportunity. Details from the official award data.
The procurement contact named on the official notice.
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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What the supplier must deliver
As the adoption of the Maritime Autonomous
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.
GRAD in collaboration with the University
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.
Derived from the notice text — always confirm against the original documents.
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- OCID
- ocds-h6vhtk-055831
- Stage
- award · Awarded
- Source
- Find a Tender
- Buyer ref
- 037063-2025
Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.
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