Developing a Low-Cost Raspberry Pi-based Camera Trap for Wildlife Detection




1. Gabriel Kiarie

  • Gabriel is a graduate Electrical and Electronic Engineer. Currently, he is pursuing his MSc in Telecommunication Engineering at Dedan Kimathi University of Technology. He is also working as a Research Intern at the Centre for Data Science and Artificial Intelligence (DSAIL), Dedan Kimathi University of Technology. He has an interest in electrical and electronic hardware design. He has been involved in the design of Raspberry Pi-based acoustic sensors and camera traps for ecological data collection. His master's research involves developing a low-cost Raspberry Pi Time Domain Reflectometer (TDR) for detecting and locating faults in electric fences.
2. Lorna Mugambi

  • Lorna is a graduate engineer who works as a researcher at the Centre for Data Science and Artificial Intelligence (DSAIL). She is currently pursuing an MSc in Telecommunication Engineering at Dedan Kimathi University of Technology, while mainly focusing on research related to AI in healthcare. She has been a part of developing software for a camera trap deployed in the university’s conservancy deployed in the aim to detect predators. Her master’s research involves the tracing of valve motion in the heart and the early detection of Rheumatic Heart Disease.
3. Yuri Njathi

  • Yuri is a researcher at the Centre for Data Science and Artificial Intelligence (DSAIL) in Dedan Kimathi University of Technology. He works on computer vision tasks around wildlife imagery and health. He is also pursuing his MSc in Electrical and Electronics Engineering. Currently, his research is focused on computer vision tasks for wildlife conservation.
4. Ciira wa Maina

  • An Associate Professor at Dedan Kimathi University of Technology who is the director of the Centre for Data Science and Artificial Intelligence and the Chair of Data Science Africa.