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037063-2025- Published tags
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ocds-h6vhtk-055831Published facts
037063-2025As 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
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Award notice observed
Latest variant observed by Bidwake on .
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037063-2025Awards and suppliers
Buyer: The Corporation of Trinity House of Deptford StrondSupplier: University of Essex
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