Image Recognition and AI for Species Identification

Image Recognition and AI for Species Identification
Alba Gomez Segura (UK Centre for Ecology & Hydrology)
Species ID Skills Virtual Symposium
20 Jun 2024
This presentation will explore how image recognition and artificial intelligence (AI) can revolutionize the identification of insect species. By leveraging advanced machine learning algorithms and high-resolution imaging technology, UK CEH aims to enhance the accuracy and efficiency of monitoring insect populations. Alba will discuss the development and application of the Automated Moth Identification (AMI) system, which exemplifies these technologies in action. Additionally, she will highlight the role of citizen science in this initiative, enabling broader participation and data collection. This approach not only provides critical data for addressing the biodiversity crisis but also bridges the gap between technological innovation and ecological research.
Alba Gomez Segura is a Research Software Engineer at the UK Centre for Ecology and Hydrology, where she develops and applies new technologies to monitor biodiversity. With a background in Environmental Science and Bioinformatics, she now focuses primarily on electronics and coding. Her interests include hardware (e.g., cameras and Raspberry Pi) and software (machine learning) to enhance insect monitoring in the field, aiming to provide more and better data to tackle the biodiversity crisis. She is passionate about bridging the gap between technology and biological research, driven by a deep passion for understanding the natural world.
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