Data and AI experts from Capgemini, in collaboration with Naturalis Biodiversity Center and Amazon Web Services (AWS), have developed AI models that use sound recognition to automate and improve the identification of insects. Insects make up about 80% of all animals on the planet, and their loss could lead to the collapse of the overall ecosystem. Currently, identifying insect species by their sounds is a challenging task, but the AI solutions developed by Capgemini will enable scientists to analyze terabytes of information within 24 hours, allowing for better monitoring and conservation of vital insect populations.
Insects are important for the global ecosystem as they play critical roles such as pollination, indicating ecosystem health, and serving as a food source for larger animals. However, factors such as changes in land use, pesticides, urban development, and climate change are impacting insect populations. Monitoring insect populations is difficult due to the large number of species, but acoustic recognition complements other methods like traditional and camera-based monitoring. Acoustic recognition allows for the identification of insect species that may go undetected by human observation, providing valuable insights for conservation efforts.