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Roadside parking management system based on street lamp

A management system and street lamp technology, applied in the traffic control system of road vehicles, traffic control systems, instruments, etc., can solve the problems of untimely, illegal parking on the roadside and other problems, and achieve the effect of facilitating the treatment of violations

Inactive Publication Date: 2018-04-24
SICHUAN QIXING ELECTRONICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a roadside parking management system based on street lamps, which solves the serious problem of illegal parking on the roadside and the problem of untimely discovery and processing

Method used

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  • Roadside parking management system based on street lamp

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Such as figure 1 As shown, a street lamp-based roadside parking management system includes a deep learning unit, a road detection unit and a cloud data platform, the road detection unit is combined with a street lamp, and the road detection unit includes:

[0025] Image acquisition module: real-time acquisition of roadside vehicle parking images through the camera;

[0026] Image detection module: input the pictures collected by the image acquisition module into the deep neural network model for forward propagation to obtain relevant detection data;

[0027] Illegal parking judgment module: judge the data processed by the deep learning detection module, judge whether the vehicle is parked illegally, and obtain the real-time location and license plate number of the vehicle;

[0028] Communication module: transmit the vehicle detection and vehicle violation judgment results to the cloud data platform.

[0029] In this solution, by combining the road detection unit with ...

Embodiment 2

[0036] On the basis of embodiment 1, the deep learning unit includes:

[0037] Data pre-processing module: collect pictures of common car models parked illegally, and mark the collected pictures to form a training set category label;

[0038] Deep neural network training module: process and compare the category labels of the training set to obtain the final convolutional neural network model.

[0039] In this solution, by collecting pictures of illegally parked common vehicles and the measurement data corresponding to the pictures, the exact position of the vehicle in the picture and the exact position of the license plate are marked, and the vehicle data picture containing the label that meets the application scenario is obtained, and the picture of the illegally parked vehicle is collected. Data, mark the illegal parking location, and get the actual category label of the application picture of the vehicle illegally parked that meets the application scenario.

[0040] Design...

Embodiment 3

[0043] On the basis of embodiment 1, described cloud data platform comprises:

[0044] Communication module: receive vehicle detection and vehicle violation judgment result information;

[0045] Information storage module: store the received vehicle detection and vehicle violation judgment results;

[0046] Violation report module: Send the vehicle information of the violation judgment to the road supervision department for reporting.

[0047] The communication module of the cloud data platform receives the vehicle detection and vehicle violation judgment result information. When the illegal parking judgment is 0, the received data includes the real-time vehicle position and the corresponding license plate position. When the illegal parking judgment is 1, it is determined that the vehicle is illegally parked. Under certain circumstances, the received data includes the real-time vehicle location, the corresponding license plate location and the pictures taken in violation of r...

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PUM

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Abstract

The invention discloses a street lamp-based roadside parking management system, which includes a deep learning unit, a road detection unit and a cloud data platform. The road detection unit is combined with a street lamp. The road detection unit includes an image acquisition module, an image detection module, an illegal parking judgment module, and a communication module, the road detection unit includes a data preprocessing module, a deep neural network training module, and the cloud data platform includes a communication module, an information storage module, and a violation reporting module. The unit detects vehicles parked on the side of the road, and then combines the deep learning unit to perform convolutional neural network model processing to determine whether the vehicle is parked illegally, store the judgment result and image collection information, and send the information of the illegally parked vehicle to the city supervision department Reporting is convenient for city supervisors to deal with violations.

Description

technical field [0001] The invention relates to the technical field of vehicle image detection, in particular to a roadside parking management system based on street lamps Background technique [0002] With the rapid development of the economy, the number of cars is increasing, so the demand for parking vehicles on the roadside is also increasing. It is difficult for people to find a suitable place to park in the process of parking their vehicles. Therefore, people are parking At the same time, looking for empty parking spaces to park at will, or even parking in illegal areas, has brought some troubles to urban management and caused traffic jams. Therefore, a lot of manpower and material resources have been invested in supervision. However, due to the large area of ​​parking vehicles, it is difficult for The supervisors have brought great difficulty, it is difficult to realize timely detection and treatment, and there are serious management hidden dangers. Contents of the ...

Claims

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Application Information

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IPC IPC(8): G08G1/017
CPCG08G1/0175
Inventor 江明泓
Owner SICHUAN QIXING ELECTRONICS