Application of Video Technologies and Analytical Software in the Judo Training Process

The development of judo as an Olympic sport requires innovative approaches to the assessment of technical and tactical training and the individualization of training programs. The purpose of this study was to substantiate and develop methods for integrating video technologies and analytical software into the judo training process in order to enhance the effectiveness of athletes’ technical, tactical, and physical preparation. The research was conducted using systematic analysis of scientific publications, international practice reviews, comparative evaluation of technical and tactical training, and synthesis of best practices in applying information technologies in sports. The findings indicate that in leading international centers, video analysis has become an essential part of training, whereas in Ukraine its application remains sporadic. Evidence shows that regular use of visual recognition algorithms and automated statistical collection enables timely correction of techniques, improves training load planning, and reduces recovery time. Methodological and organizational prerequisites for the effective implementation of digital tools were identified, including systematic repetition of movements, availability of technological equipment, coach training in analytical software, and structured feedback between coach and athlete. Practical recommendations were developed for combining video analysis, artificial intelligence programs, and sensor systems to support the individualization of training and prevent injuries. The overall conclusions confirm that integrating video technologies and analytical programs significantly improves the objectivity and scientific validity of training control. The proposed solutions can be introduced in youth sports schools, clubs, national teams, and coach training curricula. Prospects for further research involve the development of intelligent systems for personalized training and the creation of national protocols for digital support of the training process.