Liability Assessment System Using Multi-Source Video Compilation

The system performs preliminary actions by capturing video evidence at the moment of the crash and pre-processing it to extract key frames and characteristics. This advance preparation ensures that when liability assessment is needed, the evidence is already prepared and ready for immediate analysis, eliminating delays associated with collecting evidence after the fact.

The patent replaces the mechanical system of manual eyewitness reporting and photograph collection with an automated video capture and analysis system. The automated system continuously records and processes crash events, substituting human observation and manual evidence gathering with machine-based automated evidence collection and initial processing.

The system segments the complex task of liability assessment into distinct processing stages: video capture from multiple sources, synchronization and alignment, key frame extraction, characteristic analysis, and fault determination. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining high accuracy through comprehensive multi-source analysis.

The patent implements a universal processing framework that handles multiple video sources, various crash scenarios, and different types of evidence through a single integrated system. The multi-functional architecture processes surveillance footage, smartphone videos, and other sources using common algorithms for synchronization, analysis, and liability determination, reducing complexity by avoiding separate specialized systems for each function.