Real-time detection and localization based on acoustic characteristics of bees and wasps

In recent years, there have been frequent incidents of wasps attacking bees raised by beekeepers, resulting in significant losses. To address this issue, I chose to compare the acoustic characteristics of wasps and bees, thereby constructing a dataset. By using the cosine distance to compare the similarity of similar features we can determine whether the sound is from a wasp or a bee. Additionally, the Time Difference of Arrival (TDOA) algorithm is used for tracking and localization. Through the use of Generalized Cross-Correlation (GCC), noise is mitigated, achieving relatively accurate localization in different Signal-to-Noise Ratio (SNR) conditions.