消息 Hawkeye 360​​利用AWS的机器学习来优化海事安全和......

Hawkeye 360​​利用AWS的机器学习来优化海上安全和船舶监控能力

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Hawkeye 360​​., the first commercial company to use formation-flying satellites to create a new class of radio frequency (RF) data and analytics, has announced the development of new maritime security and vessel monitoring capabilities that combine HawkEye 360’s powerful RF geolocation services with a customized machine learning model developed through亚马逊网络服务'(AWS)机器学习(ML)解决方案实验室。将集成到Hawkeye 360​​产品组合中的能力,利用潜伏的血管特性和行为来预测给定的船舶是否可能将类似的活性与制裁血管相互作用。

“射频信号可以在全球的商业船舶活动中提供有价值的洞察力,即使糟糕的演员寻求隐藏他们的位置,”Hawkeye 360​​的产品副总裁Tim Pavlick说,“随着这些机器学习支持的能力,我们将授权客户通过充满噪音的海洋切割,从海上RF数据获得更及时,更关键的见解,以改善使命结果并防止非法和非法活动。“

The new algorithms evaluate vessels’ historical data and known interactions, along with contextual vessel characteristics to generate insights into the complex connections involved in illicit maritime vessel activity, such as illegal fishing, human trafficking, ship-to-ship transfer of illegal goods, smuggling and more. This provides analysts with a holistic view of maritime activity and the ability to detect, predict and zoom in on high-risk activity.

斯里埃利罗卢,亚马逊机器学习解决方案实验室的高级经理。“通过将Hawkeye的数据和深域专业技术与Amazon Sagemaker Autopilot结合起来,Hawkeye 360​​能够在机器学习模型开发和部署的一半时间内切成两半。这让他们的数据科学家释放了时间,专注于为世界问题创造新的创新解决方案。“

该RF信号分析和机器学习能力可以通过支持各种应用,包括商业海事活动,国家安全运营,海域意识,环境保护等各种应用来帮助使海洋成为安全的地方。