DIGITAL IMAGE PROCESSING TECHNOLOGIES FOR PARKING SPACE MONITORING SYSTEMS
Keywords:
parking monitoring, computer vision, machine learning, smart parking systems, object detection, urban infrastructure, image recognitionAbstract
This article examines the application of digital image processing technologies in parking space monitoring systems, analyzing current methodological approaches and their effectiveness in modern urban infrastructure. The research concludes that multi-layered processing approaches combining edge detection, feature extraction, and deep learning classification represent the most promising direction for developing robust parking monitoring infrastructure capable of operating in complex urban environments with varying lighting conditions and weather patterns.
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