Camera Position Calibration Using Vehicle Visual Markers

The patent replaces manual mechanical training operations with an automated computer vision system. The system uses image processing algorithms to automatically identify routes, vehicles, and areas of interest, eliminating the need for manual operator training that takes multiple days. The automated system processes visual data from the camera to generate monitoring parameters without human intervention.

The patent implements a self-service calibration system where the camera automatically determines its own position and training parameters using visual indicators in the environment. When moved to a new location, the camera captures images, detects visual indicators (QR codes, barcodes, or natural features), and autonomously calculates its position and generates appropriate monitoring parameters without requiring operator re-training.

The patent introduces visual indicators (QR codes, barcodes, or natural visual features) as intermediary elements that facilitate automatic camera calibration. These indicators serve as mediators between the camera system and the environment, providing recognizable reference points that the computer vision system can detect and use to calculate camera position and orientation without complex direct measurement systems.