Pulsar market research study

脉冲星市场调查研究

• 批准号: 10018181
• 金额: $ 2.47万
• 依托单位: SIRIUS CONSTELLATION LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10018181
• 关键词: Pulsar; market; research; study

The maritime domain is a notoriously difficult and dangerous environment in which to work. It is hard to identify vessels remotely, especially those which do not wish to be identified, and even harder to determine what a vessel may be doing.Currently maritime situational awareness is built primarily on the transponder anti-collision system, AIS. This Automatic Identification System is only mandatory for vessels over a certain size (300 tonnes) and is susceptible to erroneous transmissions, areas of poor reception and (often deliberately) incorrect operation.Moreover, many threats come from smaller vessels which are not obliged to transmit on AIS and are harder to spot on other sensors.SiriusInsight.AI has developed a system This project aims to use novel methods of detecting, identifying and tracking small vessels (less than 10m) without transponders, by enabling a future network of autonomous sensor platforms to transform the information available to stakeholders without overburdening them with data deluge.Sirius has already demonstrated the proof of concept to the UK Government with remote sensors (both at sea and on headlands) and, based upon strong support, now aims to develop artificial intelligence and machine learning to deliver 'insights' from a large-scale deployment of such sensors both in UK and overseas.

众所周知，海洋领域是一个非常困难和危险的工作环境。船舶的远程识别非常困难，特别是那些不希望被识别的船舶，更难确定船舶可能在做什么。目前海上态势感知主要建立在应答器防撞系统（AIS）上。此自动识别系统仅对超过一定尺寸的船舶强制使用（300吨），容易出现错误传输，接收不良的地区，（通常是故意的）不正确的操作。此外，许多威胁来自较小的船只，这些船只没有义务在AIS上传输，并且更难在其他传感器上发现。识别和跟踪小型船只（不到10米），无需转发器，通过使未来的自主传感器平台网络能够转换利益相关者可用的信息，而不会因数据泛滥而使他们负担过重。Sirius已经向英国政府展示了遥感器的概念验证（在海上和海岬），在强有力的支持下，现在的目标是开发人工智能和机器学习，以通过在英国和海外大规模部署此类传感器来提供“见解”。