Anchor Lab News
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18-02-2019
Queensland project moves forward to the proof of concept phase

We are extremely happy to announce that we are continuing our collaboration with the Advance Queensland Small Business Innovation Research Initiative and moving forward into the proof of concept phase.

Over the next 12 months we will be working closely with the Queensland Department of Agriculture and Fisheries (DAF) to produce and roll out our new electronic monitoring system tailored toward small scale fisheries. Our new system will enable us to gather a greater variety of fisheries data and open up exciting possibilities to further our development of automated analysis tools.

You can read the full press release from the Queensland Government here.

For further details of the project as it proceeds can be read from our project development webpage that can be found here

16-01-2019
VIND version 2.4 has been released

VIND just got even better. We have optimized different areas of the application and reduced the size of all the dynamic layers. We even added some new bottom layers, providing information about the bottom current, sediment and sea cabling.

The major features in VIND 2.4 are:
  • New background map added with a light theme.
  • View the bottom current at any position in the North Sea, with a 5 day forecast.
  • View the depth at any position in the North Sea.
  • View the different sediment types in the North Sea.
  • Get an overview of the cables in the North Sea.
  • Reduced layer sizes for dynamic layers.
  • Improved overview of historical catches.

VIND version 2.0

VIND is a free windows application, so please contact us if you want to give it at try.
12-04-2018
Small Business Innovation Research contract signed

We are extremely happy to announce that we have just signed a contract with the Advance Queensland Small Business Innovation Research Initiative to develop a new modular and flexible remote electronic monitoring system to enable a fully documented fishery.

Over the next 6 months we will be working closely with the Queensland Department of Agriculture and Fisheries (DAF) to develop a new electronic monitoring system that can be tailored to the needs of the fisheries of Queensland. While also using some new technologies to incorporate machine learning and image analysis techniques to streamline and optimize the reporting requirements of Queensland’s fishers.

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H. C. Andersens Boulevard 37, 5. mf. | 1553 Copenhagen V | info@anchorlab.net | tel. (+45) 48 48 15 53