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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
| Supplier | Identifier | Award Value | Lots Won | Cross-References |
|---|---|---|---|---|
| University of Essex | RC000652 | - | 1 lot Lot 1 | LOBBYIST Policy Connect Limited (7 quarters) |
This procurement was divided into 1 lots, each awarded separately.
| Lot | Value | Awarded To | Status |
|---|---|---|---|
| Lot 1 | £29,830 initial term | University of Essex | active |