Exploration of machine learning in camera trapping and bioacoustics

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Speaker:

  • Lorna Mugambi
  • Yuri Njathi (Centre for Data Science and Artificial Intelligence [DSAIL], Dedan Kimathi University of Technology, Kenya)

Time: 13:00–14:00, 8th July 2025

Location/Room: Zoology Museum, Wallace Building, Singleton Campus

Contact Information: Andrew King (a.j.king@swansea.ac.uk)

Camera trapping and bioacoustics are both methods of monitoring wildlife ecosystems. They both involve hardware and software development, data collection, data analysis and drawing of insights. In this seminar, we will look at how we designed and implemented low-cost hardware for camera traps and acoustic recorders in Kenya’s Mt. Kenya region. We will also look into how we have applied machine learning to identify wildlife species from collected ecological data and how machine learning could assist in monitoring wildlife and their ecosystems at scale.