Parking intelligent management method based on machine vision

Abstract

The invention discloses a parking intelligent management method based on machine vision. The parking intelligent management method comprises the steps: image information of a shielded reflective ribbon on each parking space is collected through an image collector in a parking lot, the information is fed back to an industrial personal computer for image processing, and then the occupancy conditionof each parking space is obtained according to collected images; shape size parameters of a parking vehicle are collected through an image collector at an entrance, and according to the occupancy condition of each parking space in an intelligent management system, parking arrangement is provided for the parking vehicle; and signal connection between the industrial personal computer and the intelligent management system on an intelligent terminal is achieved through a wireless transmission unit, and when the situation of irregular parking is detected, an alarm is given to a vehicle owner in time through the intelligent management system on the intelligent terminal. According to the parking intelligent management method, the structure is simple, operation is convenient, the cost is low, goodinteraction with the owner is achieved through the industrial personal computer and the intelligent terminal, thus the parking state is intelligently detected and managed, the parking management efficiency is effectively improved, and the utilization rate of the parking spaces is effectively increased.

Description

technical field

[0001] The invention relates to a machine vision-based intelligent parking management method, which belongs to the technical field of machine vision detection. Background technique

[0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the shape information of the captured target. According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discri...