Vehicle Overlap Detection Using Pixel-to-Global Coordinate Translation

The patent replaces manual mechanical inspection methods (tire-chalking) with an automated image processing system using cameras and computer vision algorithms. The system captures images of parking spaces, processes them through software to detect vehicles and validate parking compliance, thereby substituting human labor with automated optical and computational systems to improve detection accuracy while maintaining manageable system complexity

The patent creates a digital copy of the physical parking space by capturing images and generating virtual representations. The system processes these image copies to detect vehicles, determine their positions, and validate parking compliance without physically inspecting each space. This copying approach enables automated, high-accuracy detection across multiple parking spaces simultaneously

The patent implements continuous automated monitoring of parking spaces through cameras that continuously capture images. The system processes these images in real-time or near-real-time, enabling continuous detection of parking violations without the intermittent nature of manual inspections. This continuous operation dramatically increases detection speed and productivity, allowing the system to monitor numerous spaces simultaneously and generate violation reports automatically

The system performs self-service by automatically capturing images, processing them through algorithms, identifying violations, and generating reports without requiring constant human intervention. The automated image processing and violation detection capabilities enable the system to serve itself in terms of data collection, analysis, and enforcement documentation, thereby increasing productivity while reducing operational costs associated with manual enforcement