CatchM - an intelligent fish catch logging, monitoring and assurance solution for marine fishing operators and regulators in the UK and Europe, with worldwide and cross-industry potential.
CatchM - 为英国和欧洲的海洋捕捞运营商和监管机构提供的智能渔获量记录、监控和保证解决方案,具有全球范围内的跨行业潜力。
基本信息
- 批准号:133530
- 负责人:
- 金额:$ 8.58万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Feasibility Studies
- 财政年份:2018
- 资助国家:英国
- 起止时间:2018 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
CatchM is a research project by FrontM to establish feasibility of a catch monitoring and logging solution using edge intelligence (satellite internet connection in remote environments), artificial intelligence and data optimisation algorithms.The 2013 Common Fisheries Policy (CFP) brought in a Europe wide ban on the the quota violating act of throwing good fish back into the sea. However, discarding persists in the UK and worldwide (27% of catches [http://www.fao.org/docrep/008/y5936e/y5936e07.htm\#fn4][0]). Attempts at enforcement through existing VMS (Vessel Monitoring Systems), REM (Remote Electronic Monitoring) over CCTV are proving unworkable at an overall global cost of $4.5 billion/year ([www.fao.org][1]).CatchM has the potential to be an efficient value-for-money catch logging and discard monitoring solution for marine fishing operators and the Marine Management Organisation, the UK's fishing regulator. This project is aimed at proving the effectiveness, cost savings and wider industry benefits of CatchM as a new VMS alternative to the struggling expensive REM solution.About Front MFrontM helps communication service providers establish more meaningful relationships with their customers in remote spaces.Less than half the planet is connected over terrestrial mobile telecommunication networks. Satellite operators are working towards overcoming this connectivity divide. This includes connecting industries operating in remote spaces: maritime markets (e.g. fishing, work-boats, dredgers, freight); remote land markets (e.g. mining, first responders in disaster zones); and aviation markets (e.g. commercial aviation).While technological advancement in Artificial Intelligence is transforming the landscape in urban and always-connected environments, in remote spaces the high cost of satellite bandwidth makes it prohibitively expensive for businesses to take full advantage of AI that needs constant-cloud connectivity and high bandwidth availability.The FrontM platform overcomes that and helps businesses serving remote customers over satellite connections to hold intelligent, humanised and fluid automated interactions with remote users. This creates operational efficiencies through smarter detection and prediction of customer needs, and automation of a user-centred meaningful response, leading to a better experience for their customers.FrontM:* works in remote environments to deliver instant help for customers in their moment of need* uses data compression and optimisation to deliver maximum information while consuming minimum bandwidth of satellite network* includes a private and secure front end for businesses and their customersFrontM is led by management and technology experts with 30+ years of satellite communications industry experience. Our team includes thought leaders, technologists and data science specialists and edge computing PHD scientists.[0]: http://www.fao.org/docrep/008/y5936e/y5936e07.htm#fn4[1]: http://www.fao.org
CatchM是FrontM的一个研究项目,旨在利用边缘智能(远程环境中的卫星互联网连接),人工智能和数据优化算法来建立捕获监测和记录解决方案的可行性。2013年共同渔业政策(CFP)在欧洲范围内禁止将好鱼扔回大海的违反配额的行为。然而,丢弃现象在联合王国和全世界仍然存在(占渔获量的27%[http://www.fao.org/docrep/008/y 5936 e/y5936e07.htm\#fn4][0])。通过现有的VMS(船舶监控系统)、REM(远程电子监控)和CCTV进行执法的尝试被证明是不可行的,全球总成本为45亿美元/年([www.fao.org][1])。CatchM有可能成为海洋捕捞经营者和海洋管理组织(英国渔业监管机构)的有效物有所值的渔获物记录和丢弃物监控解决方案。该项目旨在证明CatchM作为一种新的VMS替代方案的有效性、成本节约和更广泛的行业利益,以取代苦苦挣扎的昂贵REM解决方案。关于Front MFrontM帮助通信服务提供商与偏远地区的客户建立更有意义的关系。地球上不到一半的地区通过地面移动的电信网络连接。卫星运营商正在努力克服这一连接鸿沟。这包括连接在偏远地区运营的行业:海事市场(例如捕鱼、工作船、挖泥船、货运);偏远的陆地市场(例如采矿、灾区的第一反应者);航空市场(例如商业航空)。虽然人工智能的技术进步正在改变城市和始终连接的环境中的景观,在偏远地区,卫星带宽的高成本使企业无法充分利用需要恒定云连接和高带宽可用性的人工智能。FrontM平台克服了这一点,并帮助通过卫星连接为远程客户提供服务的企业保持智能,与远程用户进行人性化和流畅的自动化交互。这通过更智能地检测和预测客户需求,以及自动化以用户为中心的有意义的响应,为客户带来更好的体验,从而提高运营效率。FrontM:* 在远程环境中工作,在客户需要的时候为他们提供即时帮助 * 使用数据压缩和优化来提供最大的信息,同时消耗最少的卫星网络带宽 * 包括为企业及其客户提供的私有和安全的前端FrontM由拥有30多年卫星通信行业经验的管理和技术专家领导。我们的团队包括思想领袖、技术专家、数据科学专家和边缘计算博士科学家。[0]:http://www.fao.org [1]:http://www.fao.org
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
- 发表时间:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
- DOI:
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
- DOI:
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- 影响因子:0
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的其他文献
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