Senseboat - Making Sense of Water - Workshop April 21/22 2026

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Senseboat - Making Sense of Water - Workshop April 2122

senseboat

The Senseboat and the workshop

Sensemakers’ SenseBOAT™​ is an intelligent, uncrewed surface vessel (USV) measuring water quality and natural ecosystem data using advanced sensor technologies. On April 21 - 22, it will come to ITU, hosted by the DASYA LAB and the ITU Maritime Hub, for a 2-day workshop and field/water activity. to explore this autonomous maritime sensing platform (USV), and the data analytics and computer vision methods for improving marine biodiversity.

We will have two in-water data collection trips -

on day 1, in the water pools directly outside the ITU building on day 2, for a 3 - 4 hour data collection campaign at Amager Strandpark

You will have opportunity to

  • control the USV

  • work with its sensors and the data collected

    • Multivariant water quality probe
    • Keel camera (eelgrass and seabed detection)
    • Multibeam sonar for seabed scanning
    • 360 degree mast camera for navigation (could also be used for bird detection)
  • contribute with your own ideas, additions and improvements to the Senseboat

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Send an email to Sebastian!

Detail Agenda (work in progress)

Tuesday 21st of April (iot course)

 10.15 - 12 Presentations (location: 5A60)
- Sebastian Büttrich introduces and gives background perspectives: Sensing (&) water

- Company presentation, Søren Femmer Jensen, CEP Sensemakers 1 hour presentation and discussion.

 12.30 - 14 - open end ... Field trial / exercise (location: 5A60 and out)

- Show and the USV in pond area at ITU. look at the hardware. Set up Remote Operator Center (ROC). Carl explains
- Students have access to visual data in a sandbox for computer vision experiments

Wednesday 22nd of April 

10-12

- Data analytics and data scientific, title and short talk. 30 minutes

- Laura Casanovas, Data Scientis Sensemakers shares work on ”Computer vision techniques for scaling up seabed mapping”

(see also separate announcement https://dasya.itu.dk/posts/lauracasanovas_20260422/ )

12 - 16

- Students have access to visual data in a sandbox for computer vision experiments

- Hackathon of ideas

- Pizza and drinks



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