Oct. 26

It's a Bird... It's a Plane... It's Superman - monitoring a wind farm isn't easy!

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If you love birds (who doesn't?) and are curious about how AI can be used for biodiversity, join us at this practical workshop. Spoor uses computer vision and AI to detect, track, and classify birds in wind farms in order to help developers and operators gain insights and guide mitigation measures. In this workshop, they will share more about computer vision and its applications. You will apply your newfound knowledge on a real data set to classify images using neural networks. The workshop covers the basics of convolutional neural nets and practical implementation concerns, and is accessible for those who are familiar with basic programming concepts - a great introduction if you are AI-curious!


  • Basic programming skills
  • Bring a laptop
  • A Google account so that they can follow Google collab notebook

Practical information

Note that this event is in English. The event is open to everyone. We open doors and serve snacks and drinks from 16.00 and start workshop at 17.00. This event has a no-show up policy.

Møtet arrangeres av fagnettverket Tekna Big Data. Det er gratis og uforpliktende for deg som er Tekna-medlem å bli med i våre faglige nettverk.


4th Floor, room Darwin
  • Charlène Bruno

    Computer vision engineer


    Charlene has a Master's degree in Computer Science and is passionate about developing new technologies, especially in the field of applied Artificial Intelligence. Being a computer vision engineer at Spoor allows her to dedicate her technical skill to a meaningful cause which is close to her heart: enabling industry and nature to coexist.

  • Elifsu Filiz

    Data engineer


    Elifsu has a Master's of Science degree in Computer Engineering. She has previously worked as a Research Assistant in the Computer Engineering department, and as a Data Scientist in a startup in the wind energy sector. Now she is applying her skills to help make wind power more nature friendly as a data engineer at Spoor.

  • Raaisa Raaisa

    Data Scientist


    Raaisa has a Master's in Mathematics and Computing from IIT Delhi, India. Her data science experience spans across solving systems of ODEs for metabolic data to deploying deep learning NLP models at two previous startups. She also has mass spectrometry experience from Yale School of Medicine and now is working in the field of computer vision at Spoor.

Sustainable development goals:

  • Logo for UN's sustainable development goal number 4
  • Logo for UN's sustainable development goal number 5
  • Logo for UN's sustainable development goal number 15
  • Logo for UN's sustainable development goal number 17

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