In today's rapidly advancing technological era,intelligent parking lot recognition,positioning,and navigation systems have become an indispensable part of large public venues such as commercial complexes and hospitals.Traditional parking lots suf-fer from various issues including weak signals,low navigation accuracy,and difficulty in finding parking spaces.To enhance parking efficiency,we have designed a machine vision-based parking space detection and path planning system.This system utilizes ultra-sonic sensors to gather parking space information and employs YoloV5 image recognition technology to analyze the license plate in-formation of incoming vehicles.All data is transmitted to a backend server and then presented to customers through a WeChat mini-program.Using advanced path planning algorithms,the system can identify the nearest available parking space to the customer and provide navigation services.
machine visionultrasonicYoloV5 image recognitionWeChat mini programpath planning
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