SUN'IY INTELLEKT YORDAMIDA MASOFAVIY TA'LIMDA VIDEO MONITORING TIZIMLARINING OPTIMALLASHTIRILISHI

The study focuses on the optimization of video monitoring systems in distance education through the integration of artificial intelligence. The problem addressed is the need for effective and reliable monitoring solutions that ensure the academic integrity and active engagement of students in virtual classrooms. The research methodology involves the development and testing of algorithms based on artificial intelligence that enhance the efficiency and accuracy of student identification and monitoring processes. The primary findings demonstrate the effectiveness of AI-driven solutions in identifying students and monitoring their activities with minimal errors. Overall, the study concludes that AI technologies can significantly improve the quality and reliability of video monitoring systems in online education.