Artificial intelligence volleyball special test system based on deep learning and 3D imaging technology

Abstract

With the rise of digitalization and intelligence, more and more electronic products begin to replace manual labor, "artificial intelligence volleyball special examination system" is a combination of computer deep learning and three-dimensional imaging technology of college entrance examination service system. The development and application of this system is intended to replace the traditional manual scoring mode, open up a new path for the modern examination mode, and further ensure the fairness of the examination. In this paper, sports literature, experiment, data-driven and other research methods, constantly learn and record volleyball drop point, ball speed and other data in the actual field such as exams and competitions, analyze the data after data collection, and learn and discover patterns, rules and knowledge from the data through training models. Research and development was carried out through data results, and through in-depth calculation, the computer finally reached the point where it could identify various signs in volleyball, volleyball court and volleyball court. The hawk-eye camera could capture the trajectory of volleyball movement in real time without dead corners, and the computer controlled deep learning of volleyball movement images to automatically score the result according to different landing areas. The system through continuous learning, analysis, calculation and other research and development links to achieve accurate prediction effect, and its application in the exam, has achieved accurate points instead of manual, fair and fast, the application of manual system in modern exams has been very necessary, has become an indispensable part of the modern exam.