Continuous improvement

We’re constantly delivering small and large improvements to Starboard. Below are some of the larger, new pieces of work we have planned.

Our roadmap comes from a combination of new scientific research, harnessing new satellite technology, and user research with maritime experts—the people who use our software.

Starboard software roadmap 2021

Real-time vessel movements

See real-time vessel movements, via automatic identification system (AIS) data, with important events detected as the data streams into Starboard.
Coming soon

Alerts when vessels enter and exit areas

Set and receive automated alerts when vessels enter and exit custom areas.
Coming soon

Fisheries database integration

View fishing activity by non-registered vessels, and check registration information through the integration of the Western and Central Pacific Fisheries Commission (WCPFC) database.
Next

Vessel watch lists

Create and maintain shared watch lists of vessels of interest, and see which vessels they interact with through on-water encounter analysis.
Next

Detecting anomalous vessel activity

View automatically flagged anomalous vessel movements, based on a new machine learning algorithm developed in partnership with the Australian Geospatial-Intelligence Organisation.
Later

Store and analyse your vessel information

Upload documents and add comments about vessels and vessel inspections, enabling you to securely and privately analyse your vessel information with global vessel information.
Later

Add more streaming data sources

Bring more streaming data into Starboard, such as data from search and rescue assets at sea, or additional sensors such as land based radar.
Later

Past deliveries

Hitchhiker pest risk (AGM)

4 June 2021
Recently delivered

Arriving vessels are automatically flagged if they have previously visited risk areas during risk periods for the Asian gypsy moth (AGM).

More about hitchhiker pest risk assessments →

Improved vessel lists

31 May 2021
Recently delivered

Quickly view a list of vessels on screen, what their previous port was, and what their relative risk is.

Explore on-water vessel networks

16 Mar 2021

Explore and understand on-water vessel networks, through the automatic flagging of encounters—when two vessels meet at sea for at least 10 minutes.

More about encounters and track history →

Hitchhiker pest risk (BMSB)

1 Mar 2021

Arriving vessels are automatically flagged if they have previously visited risk areas during risk periods for the brown marmorated stink bug (BMSB).

More about hitchhiker pest risk assessments →

Delivery summary

Feb 2021

User research with maritime analysts

We continued to hold user research sessions with maritime analysts and incorporated our learnings back into the software—from smaller interface improvements to planning for larger pieces of work.

Funding to develop anomaly detection algorithms

We started developing machine learning algorithms to detect anomalous vessel movements at sea, following funding received from the Australian Geospatial-Intelligence Organisation.

Beta testing

Dec 2020

Beta testing programme begins

We recruited a wide range of participants across the New Zealand Government, various NGOs and private companies who were then given access to Starboard. This enabled us to learn about their work, and how the analysis of maritime activity fits into that.

Delivery summary

Nov 2020

Satellite monitoring for small craft

We began persistent monitoring, using high-res optical satellite images, to detect small craft coming to Aotearoa New Zealand, which are potential vectors of Covid-19.

Automated Covid-19 risk assessments

In partnership with leading epidemiologists, we developed an epidemiological risk model which establishes the relative likelihood of crew having Covid-19 onboard vessels.

More about Covid-19 risk assessments →

Delivery summary

Oct 2020

Analysis to detect non-reporting small craft

We analysed historical small craft movements between the Pacific and Aotearoa New Zealand to establish the best location and type of satellite data to use to detect non-reporting small craft.

Global vessel movements ingested and analysed

We started ingesting, analysing, and updating global vessel movements (via AIS data) every 24 hours.

Delivery summary

Sep 2020

Find vessels anywhere in the world by entering their MMSI, IMO, name, or call sign.

Improved user management

Invite multiple users from your organisation into Starboard, and manage what level of access they have.

Delivery summary

Jul 2020

Buying and processing global AIS data

To help nations understand and protect their maritime domain they must be able to analyse maritime activity globally. We purchased global historical AIS data from exactEarth and started processing it.

Starboard is born

Jun 2020

With a successful proof of concept, then real-time operation which generated valuable new intelligence, and gathered positive feedback we moved from an idea to a business. Starboard was named and registered.

Delivery summary

May 2020

Southern bluefin tuna operation in Tasman Sea

We ran a digital operation with the Ministry of Primary Industries in Aotearoa New Zealand looking at southern bluefin tuna over 1–14 May. We combined multiple data sources in real-time, including four types of satellite data to uncover a fleet of non-reporting ‘dark vessels’.

Delivery summary

Apr 2020

Ingest real-time AIS data for the Tasman Sea

Ingesting and analysing streaming AIS data direct from exactEarth for a chosen area of the Tasman Sea.

Delivery summary

Feb 2020

Processing pipeline for synthetic aperture radar (SAR) data

We developed a processing pipeline to rapidly detect vessels in SAR data, and pass that to Starboard to be displayed to analysts in near real-time.

Delivery summary

Jan 2020

Real-time analysis interface

To support real-time operations we developed several real-time relevant aspects of Starboard, such as being able to see the speed, heading and location of multiple vessels in a chosen area at once.

Delivery summary

Dec 2019

Proof of concept finished

We finished a proof of concept web application, testing the integration of satellite data, coupled with automated analysis of AIS data to detect dark vessels on the high seas in between Fiji and Vanuatu.

Delivery summary

Nov 2019

Display sea surface temperature (SST) for chosen areas of the world

To help analysts understand which fish species vessels may be targeting we integrated SST data from National Oceanic and Atmospheric Administration (NOAA) which can be turned on and off as a map layer.

Integrated regional fisheries management organisation (RFMO) databases

To help analysts quickly check a vessel’s registration details we integrated RFMO data into Starboard, which could be viewed on the vessel details panel.