Parking standard detection model construction method, parking standard detection method and system, terminal and medium

A detection model, construction method technology, applied in the construction of parking specification detection model, terminal and medium, parking specification detection method, system field, can solve the problems of consumption, time-consuming and laborious, large labor cost and so on

Pending Publication Date: 2020-10-20
杭州智行星科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above-mentioned defects of the prior art, the present invention proposes a construction of a parking regulation detection model, a prediction method, a system, a terminal, and

Method used

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  • Parking standard detection model construction method, parking standard detection method and system, terminal and medium
  • Parking standard detection model construction method, parking standard detection method and system, terminal and medium
  • Parking standard detection model construction method, parking standard detection method and system, terminal and medium

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Embodiment 1

[0031] like figure 2 As shown, a schematic flowchart of a method for constructing a parking regulation detection model in an embodiment of the present invention is shown.

[0032]It should be noted that the method for constructing the parking regulation detection model in this embodiment can be applied to various types of hardware devices. The hardware device may be a controller, specifically an ARM (Advanced RISC Machines) controller, an FPGA (Field Programmable Gate Array) controller, a SoC (System on Chip) controller, a DSP (Digital Signal Processing) controller, or an MCU ( Micorcontroller Unit) controller etc.; Described hardware device also can be personal computer, specifically such as desktop computer, notebook computer, tablet computer, smart phone, smart TV, personal digital assistant (Personal Digital Assistant, be called for short PDA) etc.; Described hardware The device can also be a server, and the server can be arranged on one or more physical servers accordin...

Embodiment 2

[0048] like image 3 As shown in FIG. 1 , a schematic flowchart of a parking regulation detection method in an embodiment of the present invention is shown.

[0049] It should be noted that the parking regulation detection method in this embodiment can be applied to various types of hardware devices. The hardware device can be a controller, specifically as an ARM (Advanced RISC Machines) controller, an FPGA (Field Programmable Gate Array) controller, a SoC (System on Chip) controller, a DSP (Digital Signal Processing) controller, or an MCU (Micorcontroller Unit) controller, etc.; the hardware device can also be a personal computer, such as a desktop computer, a notebook computer, a tablet computer, a smart phone, a smart TV, a personal digital assistant (Personal Digital Assistant, PDA for short), etc.; the hardware device It may also be a server, and the server may be arranged on one or more physical servers according to various factors such as functions and loads, or may be...

Embodiment 3

[0069] like Figure 4 As shown, a schematic structural diagram of a parking regulation detection system in an embodiment of the present invention is shown. The parking regulation detection system of this embodiment includes an image acquisition device 41 , a detection device 42 , and a prompting device 43 .

[0070] Specifically, the image acquisition device 41 is used to collect the real-time image of the corresponding parking area; the detection device 42 is connected in communication with the image acquisition device 41; the detection device 42 receives the real-time image from the image acquisition device 41; and the The real-time image input is obtained by training the parking regulation detection model of the deep learning network to obtain the vehicle parking information output by the parking regulation detection model; according to the vehicle parking information, it is judged whether the vehicle in the image to be detected has irregular parking .

[0071] It should be...

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Abstract

The invention provides a parking standard detection model construction method, a parking standard detection method, a parking standard detection system, a terminal and a medium. The parking standard detection method is a parking standard detection scheme based on deep learning. View from computer vision, a shot public parking region picture is directly detected through a deep neural network, whether the situations that a vehicle is parked randomly, crookedly, irregularly, or the vehicle falls to the ground and the like occur in the picture is identified, if any one or more of the situations are detected, the corresponding responsible person is notified to correct the situations, and the parking region does not need to be patrolled manually, so that automatic maintenance of the public parking region is realized, manpower and material resources for manual patrolling are saved, and the city appearance is improved.

Description

technical field [0001] The invention relates to the technical fields of vehicle management and machine vision, in particular to a construction method of a parking regulation detection model, a parking regulation detection method, a system, a terminal and a medium. Background technique [0002] At present, the public parking areas of non-motor vehicles often have random parking, crooked parking, uneven parking or vehicles falling to the ground. These phenomena not only affect the city appearance, but also hinder others from orderly parking. To solve this problem, the main solution The parking area is inspected manually, and manual adjustments are made when the above phenomena are found, but this method is not only time-consuming and labor-intensive, but also consumes a lot of labor costs. Contents of the invention [0003] In view of the above-mentioned defects of the prior art, the present invention proposes a construction of a parking regulation detection model, a predict...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/70G06K9/62G06N3/08
CPCG06T7/70G06N3/08G06T2207/20081G06T2207/20084G06V20/54G06F18/285G06F18/217
Inventor 曹学军
Owner 杭州智行星科技有限公司
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