基于声音和图像智能识别技术的生物多样性监测研究

Research on biodiversity monitoring based on sound and image intelligent recognition technology

基于声音和图像的智能识别技术在生物多样性监测中具有快速便捷、可视化程度高、便于环境管理等优势。本文阐述了基于声音和图像智能识别技术的主要理论基础和研究方法,介绍了相关案例,在传感器、标准库建设、识别算法、网络传输等发展方向进行了展望,以期为生物多样性智能监测的快速发展提供借鉴和参考。

Intelligent recognition technology based on sound and image has advantages in biodiversity monitoring,such as being fast,convenient,highly visual,and facilitating environmental management.This article elucidates the main theoretical basis and research methods of intelligent recognition technology based on sound and image,introduces relevant case studies and provides prospects for development in sensor technology,database construction,recognition algorithms,and network transmission.The aim is to provide guidance and reference for the rapid development of intelligent biodiversity monitoring.