Camera Field-of-View Distortion Correction for ITS Imaging

The patent replaces mechanical sensor-based detection (gyroscope/accelerometer) with an image processing-based detection system. The system uses computational algorithms to analyze image content and detect distortion by comparing extracted features against predefined models, thereby eliminating the need for additional mechanical sensors and reducing device complexity while maintaining detection capability.

The patent introduces an intermediary image processing module that acts as a mediator between the camera and the distortion detection system. This intermediary layer extracts features from images and compares them against predefined models to detect distortion, providing a software-based solution that avoids the need for complex hardware sensors.

The patent segments the image processing into multiple stages: extracting predefined objects from images, comparing extracted results against reference data, and analyzing the differences to detect distortion. This segmentation allows each stage to focus on specific aspects of distortion detection, improving overall precision while keeping the system relatively simple.

The patent implements a feedback mechanism where the system continuously compares extracted image features against predefined models and reference data. The comparison results provide feedback that indicates the presence and type of distortion, allowing the system to adjust its detection algorithms to improve precision based on the specific distortion characteristics detected.