Research Article
AI based behavior analysis of Birds using UAV
@INPROCEEDINGS{10.4108/eai.23-2-2024.2346975, author={Venugopal E and Saghana T and Shakunthala S and Varnika S and Sathana S}, title={AI based behavior analysis of Birds using UAV}, proceedings={Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India}, publisher={EAI}, proceedings_a={ICAMDMS}, year={2024}, month={6}, keywords={unmanned aerial vehicle (uav) artificial intelligence (ai) avian bird behaviour remote sensor drone corridor}, doi={10.4108/eai.23-2-2024.2346975} }- Venugopal E
Saghana T
Shakunthala S
Varnika S
Sathana S
Year: 2024
AI based behavior analysis of Birds using UAV
ICAMDMS
EAI
DOI: 10.4108/eai.23-2-2024.2346975
Abstract
Analyzing avian reactions to Unmanned Aerial Vehicles (UAVs) using Artificial Intelligence (AI) provides valuable insights into their response to such technology. Gathering data on avian behavior and population dynamics in a specific area deepens understanding of UAV effects on behavior of birds, identifying zones where drones can operate without disturbing natural avian conduct. Drones act as unobtrusive tools for capturing bird imagery in their habitats, while avian tagging aids in monitoring individual bird movements. Remote sensors facilitate the observation of avian vocalizations and behavior indicators. Designating safe drone corridors enables researchers and professionals to operate drones without disrupting avian habitats, protecting vulnerable bird populations and reducing bird-drone collision risks. Leveraging AI-driven analysis of avian responses to UAVs enhances understanding of their impact on behavior of birds and aids in safeguarding bird populations. Establishing designated drone zones ensures coexistence between drones and birds.