This study focuses on developing real-time UAV recognition systems to enhance military security. The authors conduct a comparative analysis of advanced machine learning models, including Neural Networks, Support Vector Machines, ensemble methods, and Random Forest Gradient Boosting Machines, to address the challenge of aerial classification in diverse environmental conditions. The models are evaluated based on accuracy and computational efficiency, with Neural Networks demonstrating the best performance in distinguishing UAVs from birds. The research highlights the potential of Neural Networks to enhance operational security and improve resource allocation in defense. The study recommends regular updates to these models to keep pace with advancements in UAV technology, including more agile and stealthy designs. The findings emphasize the effectiveness of machine learning in real-time UAV recognition and advocate for the integration of Neural Networks into military defense systems to strengthen decision-making and security operations.This study focuses on developing real-time UAV recognition systems to enhance military security. The authors conduct a comparative analysis of advanced machine learning models, including Neural Networks, Support Vector Machines, ensemble methods, and Random Forest Gradient Boosting Machines, to address the challenge of aerial classification in diverse environmental conditions. The models are evaluated based on accuracy and computational efficiency, with Neural Networks demonstrating the best performance in distinguishing UAVs from birds. The research highlights the potential of Neural Networks to enhance operational security and improve resource allocation in defense. The study recommends regular updates to these models to keep pace with advancements in UAV technology, including more agile and stealthy designs. The findings emphasize the effectiveness of machine learning in real-time UAV recognition and advocate for the integration of Neural Networks into military defense systems to strengthen decision-making and security operations.