Ball Motion Video Analysis for Real-Time Serve Tracking

The patent replaces manual observation (mechanical/human system) with computer vision and deep neural network algorithms (information processing system). The system uses video capture devices to record motion and applies automated image processing and neural network analysis to extract motion parameters, eliminating the need for manual measurement while achieving high precision through computational methods.

The system performs preliminary action by capturing and pre-processing video data during the event in real-time. The video capture device continuously records motion, and the neural network algorithms are ready to process the data as it becomes available, enabling immediate analysis rather than waiting for post-event processing. This preliminary preparation of data and computational readiness achieves high productivity while maintaining operational simplicity through automated workflows.

The patent segments the analysis system into distinct functional modules: video capture device for data acquisition, deep neural network module for feature extraction and motion parameter calculation, and output module for results display. Each module performs a specific function, allowing the complex overall system to be managed through modular design. The neural network itself is segmented into multiple layers (input layer, hidden layers, output layer) that process information in stages, making the computational complexity manageable and trainable.