September 5, 2025

Dynamic High-accuracy Parking Occupancy Detection Using Lightweight CNN-Based Framework and Advanced Image Processing for Smart City Integration

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The developed system achieves an overall accuracy of 98.02%, indicating high effectiveness in parking detection.
Robust experimental results show precision of 98.94% and recall of 98.25%, ensuring reliable parking space analysis.
Implemented methodologies include extensive image preprocessing techniques to enhance detection performance under various conditions.
The framework's integration potential into smart city infrastructures could greatly improve urban parking management and efficiency.

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Framework utilizes lightweight cnn for advanced image processing in dynamic parking management, suggesting better urban traffic flow.

Yun Cheng (2025) studied this question.

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