Autonomous Wind-driven Devices for Acoustic and Visual Sensing
Autonomous Wind-driven Devices for Acoustic and Visual Sensing
批准号:
10053989
负责人:
金额:
$6.69万
依托单位:
依托单位国家:
英国
项目类别:
CR&D Bilateral
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
Oshen设计了风力驱动的自主水面船舶,用于海洋传感。风能的自主控制和使用使我们的设备能够收集精确的数据,这比现有的解决方案更具成本效益。我们的设计只有1.2米长,就像一艘微型帆船。小尺寸使单位成本低,并允许设备快速大规模部署,为持续监测海洋生物多样性提供传感器网络。这种整体技术有助于解决越来越依赖海洋数据的世界中的数据稀疏问题。本项目旨在探讨在沿海水域使用这些设备的可行性,用于两种应用:声学测量和视觉数据集收集。声学调查可行性的主要重点将是海洋哺乳动物的检测,而视觉数据集收集的主要重点将是海鸟的检测和识别。该项目将分为三个主要阶段:首先,将传感器的物理硬件集成到我们现有的设备中,包括电子系统集成(确保传感器工作并链接回定制的人工智能软件)。第二阶段是一个小型测试,其中一个设备被部署在东海岸附近的一个区域:例如,斯卡伯勒,那里有常见的海洋哺乳动物,如海港鼠海豚,但海上交通密度较低。最后一次更大规模、持续时间更长的试验将在东海岸更广泛的地区进行,试验将使用多达10个装置。这一地区是繁殖海鸟的觅食范围,从弗朗伯勒角和汉普顿悬崖特别保护区(SPA),特别是北方塘鹅-桑雀。在海洋哺乳动物中,港湾鼠海豚和小须鲸是最有可能在这一地区被发现的种群。这项测试所产生的数据将被处理和用于验证设备识别海洋生物的能力,并审查收集视觉数据集的可行性。
英文摘要
Oshen designs wind-driven, autonomous surface vessels for marine sensing. The autonomous control and use of wind power allow our devices to gather precise data that is significantly more cost-effective than existing solutions. Just 1.2m in length, our design resembles a miniature sailboat. The small size keeps the unit cost low and allows devices to be quickly deployed en-masse, providing a sensor network for continuous monitoring of marine biodiversity. This holistic technology helps solve the problem of data sparsity in a world that is becoming increasingly reliant on ocean data.This project aims to investigate the feasibility of using these devices in coastal waters for two applications: acoustic surveying and visual dataset collection. The primary focus of the acoustic survey feasibility will be marine mammal detection and the primary focus of the visual dataset collection will be seabird detection and identification. There will be three overarching stages to the project: first, the physical hardware integration of the sensors into our existing devices, including the electronic systems integration (ensuring the sensors work and link back to bespoke AI software). The second stage is a small test, where one device is deployed in an area off the East coast: for example, Scarborough, where marine mammals such as harbour porpoises are common but marine traffic has a lower density. The final larger scale, longer duration test will be conducted with up to ten devices covering a broader area along the East coast. In this area lies the foraging range for breeding seabirds from Flamborough Head & Bempton Cliffs Special Protection Area (SPA), notably northern gannet _Morus bassanus_. Among marine mammals, harbour porpoise and minke whales are the populations most likely to be identified in this area. The data resulting from this test will be processed and used to validate the ability of the devices to identify marine life and to examine the feasibility of collecting visual datasets.
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国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: