상명대 생물정보학 연구실

Monitoring of endangered species and development of intelligent recognition technology for identification of individuals

This study aims to enhance the efficiency and cost-effectiveness of customs inspection processes by leveraging artificial intelligence (AI), a key technology driving the Fourth Industrial Revolution, and molecular DNA barcode analysis for the accurate and rapid identification of endangered species.

To facilitate the swift and precise classification of endangered parrot species, we developed a real-time AI-based image recognition system and a mobile application for parrot species identification, which can be utilized on-site in the management of endangered species trade. Additionally, we identified DNA barcode information for parrots, reptiles, and bears frequently involved in illegal trade, enabling the accurate determination of their original species. To further support conservation strategies for endangered species, we sequenced mitochondrial genomes and developed microsatellite markers.

This research establishes a quantitative and scientifically rigorous integrated evidence analysis system, which combines object recognition technology and biological data analysis to facilitate the standardized identification of endangered species. The system is designed for broad applicability across various species, contributing to the advancement of conservation efforts and forensic investigations related to wildlife trade.