Pulsar market research study

众所周知，在海洋领域工作是一个困难而危险的环境。很难远程识别船只，尤其是那些不希望被识别的船只，更难确定船只可能在做什么。目前，海上态势感知主要建立在应答器防碰撞系统AIS上。这种自动识别系统只适用于超过一定尺寸（300吨）的船只，并且容易受到错误传输、接收不良区域和（通常是故意）错误操作的影响。此外，许多威胁来自小型船只，这些船只没有义务在AIS上进行传输，也很难在其他传感器上发现。siriusinsight . ai开发了一套系统，该项目旨在使用新的方法来检测、识别和跟踪没有转发器的小型船只（小于10米），通过使未来的自主传感器平台网络能够将可用的信息转换为利益相关者，而不会给他们带来过多的数据负担。Sirius已经向英国政府展示了远程传感器的概念验证（包括海上和海岬），并且在强有力的支持下，现在的目标是开发人工智能和机器学习，以便从英国和海外大规模部署此类传感器中提供“见解”。

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.