Method for intelligent parking guidance based on video tracking and identification, server and system

Abstract

The invention discloses a method for intelligent parking guidance based on video tracking and identification, a server and a system. The method comprises steps of: receiving a parking request sent by a user terminal; extracting vehicle feature information and a license plate from video information sent by a camera; sending a parking route to the user terminal; tracking the license plate according to the vehicle feature information and the license plate so as to obtain a parking stall information of a vehicle; and updating the parking stall information and binding the user terminal and the parking stall. According to the invention, through the video tracking and image identification technology, a parking lot is monitored and managed; parking routes are provided; and usage rate and management efficiency of the parking lots are improved.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a method, server and system for intelligent parking guidance based on video tracking and identification. Background technique [0002] With the development of camera device technology and video and image processing technology, video surveillance systems are installed in various places in the city, and multi-camera collaborative tracking technology is also widely used in military, sports, transportation, commercial places and other fields, becoming a smart city. important part. [0003] Currently, video surveillance systems are generally installed in parking lots, but they mainly rely on manual identification and management, and the degree of automation is very low, mainly including the following defects: [0004] 1) When the car owner parks, he mainly relies on himself or the staff to guide him to find a vacant space, which brings inconvenience to the car owner. Especially w...

AI Technical Summary

Problems solved by technology

[0003] Currently, video surveillance systems are generally installed in parking lots, but they mainly rely on manual identification and management, and the degree of automation is very low, mainly including the following defects:

[0004] 1) When the car owner parks, he mainly relies on himself or the staff to guide him to find a vacant space, which brings inconvenience to the car owner

Especially when picking up the car on behalf of others, it is difficult to quickly find an accurate parking space;

[0005] 2) The parking space information lacks quick release and query channels, and the utilization rate of parking spaces is low;

[0006] 3) Management automation and mobility are not high

[0007] The above drawbacks are especially prominent when managing larger car parks

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