CLIENT-SERVER SYSTEM FOR PARKING MANAGEMENT BASED ON VIDEO SURVEILLANCE DATA ANALYSIS
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Abstract
A web-based system for monitoring and managing parking lots based on analysis of images from surveillance cameras is presented. An approach has been developed for segmentation of parking spaces, that allows you to automatically determine the coordinates of parking spaces in the image using the Otsu adaptive binarization algorithm and the Hough transform algorithm for linking lines. The classification of parking spaces by occupancy type is performed using the convolutional neural network ResNet50. The features of the implementation of the server part are given, the developed class diagram and their main purpose are described. The client part of the system is a website that can be accessed using a personal computer or mobile device. Examples for main software functionality are shown.
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References
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