Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

New energy vehicle abnormal parking big data detection method for smart city

A technology of a new energy vehicle and a detection method, which is applied in the field of large data detection of abnormal parking of new energy vehicles, can solve the problems of short cruising range, detection of abnormal parking conditions of new energy vehicles, hindering the smooth construction of smart cities, etc., so as to improve accuracy and reduce The effect of calculation

Active Publication Date: 2022-04-12
重庆华源智禾科技有限公司
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the need for charging and short cruising range, new energy vehicles often park abnormally for a long time in the same place, which significantly hinders the smooth construction of smart cities
[0003] Traditional object detection and other related methods can often detect the abnormal parking of some new energy vehicles, but cannot accurately and comprehensively detect the abnormal parking of new energy vehicles, which brings many practical difficulties to the construction of smart cities

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • New energy vehicle abnormal parking big data detection method for smart city
  • New energy vehicle abnormal parking big data detection method for smart city
  • New energy vehicle abnormal parking big data detection method for smart city

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] see figure 1 , figure 1 Shown is a flow chart of a smart city-oriented large data detection method for abnormal parking of new energy vehicles provided by an embodiment of the present invention. The large data detection method for abnormal parking of new energy vehicles facing smart cities comprises the following steps:

[0053] Step S1: Build a new energy vehicle image database, and select a preset number of template images of new energy vehicle images.

[0054] In the above steps, by constructing the new energy vehicle image database, the original basis can be provided for the subsequent recognition to determine whether the image to be detected contains a new energy vehicle, and the judgment accuracy can be improved. And by selecting and retaining a preset number of representative new energy vehicle image template images, the computing resources for operation and storage of the entire system can be greatly reduced, and the computing speed and accuracy can be greatly...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a new energy vehicle abnormal parking big data detection method oriented to a smart city. Under the condition that a new energy automobile image database is constructed, representative new energy automobile template images are selected. And photographing the target area by using an existing camera to obtain a to-be-detected image. And performing similarity calculation on the to-be-detected image and the template image, and judging whether the to-be-detected image contains the new energy automobile or not according to a similarity calculation result. In addition, a license plate area is detected and processed by using a target detection technology and a super-resolution reconstruction technology, and on the basis, license plate information is accurately identified by using a plurality of OCR technologies in a cross mutual inspection mode. And after a preset time interval, the camera photographs the same target area, and after a series of processing, whether the original new energy vehicle is still parked in the same area is judged, so that the abnormal parking condition of the new energy vehicle is accurately and comprehensively detected.

Description

technical field [0001] The invention relates to the field of detection of new energy vehicles, in particular to a large data detection method for abnormal parking of new energy vehicles facing smart cities. Background technique [0002] In modern society, the construction of smart cities is playing an increasingly important role, providing great convenience to the people. However, due to the need for charging and short cruising range, new energy vehicles often park abnormally for a long time in the same place, which significantly hinders the smooth construction of smart cities. [0003] Traditional object detection and other related methods can often detect the abnormal parking of some new energy vehicles, but they cannot accurately and comprehensively detect the abnormal parking of new energy vehicles, which brings many practical difficulties to the construction of smart cities. Therefore, how to propose a large data detection method for abnormal parking of new energy vehi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06V10/75G06V10/74G06K9/62G06Q50/26
Inventor 王军利
Owner 重庆华源智禾科技有限公司
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More