Intelligent parking lot in-out vehicle management system based on big data

Abstract

The invention discloses an intelligent parking lot in-out vehicle management system based on big data. The system comprises a region division module, an image acquisition module, an image processing module, a feature analysis module, a vehicle detection module, a display module, a parking space selection module, a license plate recognition module, a mobile device terminal, an analysis server and astorage database. According to the invention, through the image acquisition module, the image processing module and the feature analysis module, whether each vehicle drives out of the corresponding subarea is comprehensively determined; the number of vehicles entering the parking lot and leaving the parking lot is detected; the total remaining parking space number of the parking lot and the estimated time of each vehicle driving out of the parking lot from the corresponding subarea are comprehensively analyzed and displayed; the parking space is selected through code scanning of the vehicle owner and bound with the license plate number corresponding to the driving vehicle, and meanwhile, the standard path of the vehicle entering the bound parking space from the entrance of the parking lotis screened and displayed and navigated, so that the parking efficiency is improved, and the precious time and vigor of the vehicle owner are saved.

Description

technical field [0001] The invention relates to the field of intelligent parking lot management, and relates to a big data-based intelligent parking lot entry and exit vehicle management system. Background technique [0002] With the acceleration of urbanization in our country, the development of the automobile industry has also become a mainstream direction. While automobiles bring convenience to people, they also bring problems such as low parking efficiency at different times and long waiting times for parking. [0003] At present, there are many deficiencies in the existing parking lot management system. Most of the existing parking lot management is manual management. Through manual management, it is impossible to monitor the vehicles in the parking lot leaving the parking space in real time, so that the remaining time in the parking lot cannot be updated in time. Parking spaces, which not only increase the manual workload, but also have the problems of low work efficie...

AI Technical Summary

Problems solved by technology

[0002] With the acceleration of urbanization in our country, the development of the automobile industry has become a mainstream direction. While the automobile brings convenience to people, it also brings the problems of low parking efficiency and long parking waiting time at different times.

[0003] At present, there are many deficiencies in the existing parking lot management system. Most of the existing parking lot management is manual management. Through manual management, it is impossible to monitor the vehicles in the parking lot leaving the parking space in real time, so that the remaining time in the parking lot cannot be updated in time. Parking spaces, which not only increase the manual workload, but also have the problems of low work efficiency and poor statistical accuracy, and the waiting time cannot be predicted through manual management, resulting in a waste of valuable time and energy for car owners looking for parking spaces. At the same time, the existing parking lot management The system uses car owners to enter the parking lot to search for parking spaces. During the peak period, it will even cause vehicles to be difficult to quickly clear and congested, which greatly reduces the parking efficiency and causes great inconvenience to the lives of car owners. In order to solve the above problems, a system based on Intelligent parking lot entry and exit vehicle management system based on big data

Images