Sensor Data Synchronization via Motion Characteristic Filtering

The patent replaces the mechanical hardware synchronization system with a software-based signal processing system. Specifically, it uses high-pass filtering to extract motion characteristics from both image sensor data and motion sensor data, then employs pattern matching algorithms to identify corresponding motion patterns and calculate time offsets. This substitution eliminates the need for dedicated hardware synchronization lines while achieving accurate temporal alignment between the two data streams.

The patent introduces motion characteristics as an intermediary element that mediates between the image sensor data and motion sensor data. By extracting motion characteristics from both data streams through high-pass filtering and then matching these characteristics through pattern recognition, the system creates a common reference framework that enables precise synchronization without direct hardware coupling. This intermediary approach maintains high precision while keeping the system architecturally simple.

The patent implements a self-service synchronization mechanism where the system uses its own operational data (image sensor data and motion sensor data) to automatically determine and correct timing offsets. The high-pass filtering extracts motion characteristics inherent in the captured data, and pattern matching algorithms automatically identify corresponding patterns to calculate synchronization offsets. This self-service approach eliminates the need for external hardware synchronization infrastructure while ensuring reliable temporal alignment through data-driven correction.