Intelligent parking lot management system and intelligent parking lot management method based on video images

Abstract

The invention discloses an intelligent parking lot management system and an intelligent parking lot management method based on video images, and belongs to the field of intelligent parking lots. The system comprises a data acquisition module, an ARM board development module, a data relay module, a background server module, and an information display module, wherein the data acquisition module uses a camera to shoot image information of a parking space in real time and sends the image information to the ARM board development module, the ARM board development module carries out multi-scene identification and parking space state judgment by use of a background modeling algorithm, the data relay module sends parking space state information to the background server module, and the information display module and the background server module are connected and interacts with each other. The management method comprises the following steps: an image of parking spaces is collected; the state of the parking spaces is judged by use of the background modeling algorithm; the parking space information is sent to a server; and terminal equipment receives the parking space information. Multiple parking spaces can be detected simultaneously. The cost of equipment is reduced. Follow-up maintenance is simple. The state of a parking space can be judged more accurately by use of the background modeling algorithm. The system and the method are simple to implement and highly robust.

Description

technical field [0001] The invention relates to the field of intelligent parking lots, and more specifically, relates to a video image-based intelligent parking management system and management method. Background technique [0002] With the modernization of cities, people's living standards have improved. The number of cars owned by urban residents has increased sharply, and the contradiction between cars and parking spaces has become more and more prominent in crowded urban areas. Public parking lots are increasingly unable to meet more and more parking needs. How to make full use of the limited parking lot resources to meet the parking needs of vehicles to the greatest extent has become a problem that needs to be solved urgently. [0003] At present, the problems existing in the parking lot management system mainly include: [0004] 1. In the prior art, sensor networks are used to detect and manage whether a parking space is occupied. Sensor detection generally include...

AI Technical Summary

Problems solved by technology

Sensor detection generally includes ground sensing coil detection, ultrasonic detection, infrared detection, and RFID-based technology detection. The use of sensors has low technical content and a relatively complex network, low stability, and limited data processing capabilities.

Each parking space needs to be equipped with one sensor. The equipment installation and maintenance workload is heavy and the cost is high. It is not suitable for large parking lots. The obtained parking space occupancy is only displayed on the LED screen in the parking lot. Place to obtain parking lot information, such as the location of the parking lot, the location of empty parking spaces in the parking lot, etc.

[0005] 2. In the prior art, there are also researches on the use of image technology for parking space detection, but most of these methods need to set marker points in the parking space area, and then judge whether there is a car at the current position according to whether the marker points are blocked by vehicles, but These landmarks are cumbersome to set up, and are easily affected by the environment, with poor robustness

[0006] It can be seen that neither the use of sensors to monitor the status information of parking spaces nor the existing image-based parking lot management system can accurately manage the parking space information of the parking lot, and the management of the parking lot and the utilization of parking spaces cannot reach the optimal state. , because it is impossible to grasp the status of vacant parking spaces in some large parking lots in real time through the mobile client, it may consume a lot of time to find parking spaces, which is not good for businesses, customers and parking lots

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