HawkEye 360 has developed new maritime security and vessel monitoring capabilities that combine its radio frequency (RF) geolocation services with Amazon Web Services’ (AWS) machine learning (ML) model.

The maritime security and vessel monitoring capabilities will be integrated into the HawkEye 360 portfolio of products.

How well do you really know your competitors?

Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.

Company Profile – free sample

Thank you!

Your download email will arrive shortly

Not ready to buy yet? Download a free sample

We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form

By GlobalData
Visit our Privacy Policy for more information about our services, how we may use, process and share your personal data, including information of your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.

Using underlying vessel characteristics and behaviours, it becomes possible to predict whether a given vessel is likely to engage in similar activities as sanctioned vessels.

Amazon SageMaker Autopilot, a fully managed service that helps to quickly build, train and deploy ML models, has been used by HawkEye 360 in the development of the algorithms undergirding the new capabilities.

The purpose-built, proprietary algorithms can help to derive maritime domain insights from RF and vessel information.

HawkEye 360 stated that the RF signals ability and ML analysis support a range of applications such as commercial maritime activity, national security operations, maritime domain awareness and environmental protection.

HawkEye 360 product vice-president Tim Pavlick said: “RF signals can provide valuable insight into commercial vessel activity across the globe, even when bad actors seek to hide their location.

“With these ML-backed capabilities, we will empower customers to cut through an ocean full of noise to obtain more timely and critical insights from maritime RF data to improve mission outcomes and prevent illegal and illicit activities.”

The algorithms evaluate past data, known interactions and contextual vessel characteristics to produce insights into the complex connections that are involved in illegal maritime vessel activities, such as illegal fishing, human trafficking and more.