With the acceleration of urbanization and the rapid growth of vehicle ownership,the problem of parking difficulty is becoming increasingly serious,and there is an urgent need for an efficient intelligent parking management system.Based on this,a parking space recognition algorithm for parking lots is proposed,aiming to automatically detect and recognize vacant parking spaces in parking lots and provide real-time parking space in-formation to improve parking efficiency.Firstly,the image captured by the parking lot camera is preprocessed to filter out the superfluous background information.Secondly,the Hough transform is used to detect the boundary lines of the parking area,accurately positioning the parking space location.Finally,the convolutional neural network is used to classify and recognize the parking space(whether it is vacant or not)and perform visual oper-ations.The experimental results show that the algorithm has a high recognition accuracy and can effectively iden-tify vacant parking spaces,and has certain practical value.
image preprocessingHough transformconvolutional neural networkparking space recogni-tion
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