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Mobile computer vision light spot detecting and positioning method

A computer vision and positioning method technology, applied in computing, image data processing, instruments, etc., can solve the problems of artificial intelligence and big data analysis functions that do not have accurate street lamp positioning capabilities, and achieve the effect of wide application prospects

Pending Publication Date: 2020-06-30
REDNOVA INNOVATIONS INC
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a mobile computer vision light spot detection and positioning method, which can be loaded on the top of a street lamp inspection vehicle, and during the rapid movement of the vehicle, use the system's high-definition camera at night to capture the street lamp in real time. The facula can be identified and analyzed in real time through the trained artificial intelligence network, and the approximate time for each street light spot to appear is calculated through the speedometer and the distance between the facula, combined with the dual-frequency GPS system, the street lamp can be quickly and accurately positioned to solve the problem. Solve the problem that the existing manual measurement method does not have the ability of accurate street lamp positioning, problem analysis, management assistance and other artificial intelligence and big data analysis functions

Method used

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  • Mobile computer vision light spot detecting and positioning method
  • Mobile computer vision light spot detecting and positioning method

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Experimental program
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Embodiment 1

[0046] A mobile computer vision light spot detection and positioning method, such as figure 2 , including the following steps, in order:

[0047] Step 1: Convert the image to grayscale and smooth to reduce high frequency noise;

[0048]Step 2: Use the threshold function to display the brightest area in the picture. This operation is aimed at all pixel values ​​in the picture. When the threshold value is greater than or equal to the preset threshold value, set the corresponding pixel value to 255; when the threshold value is less than When the threshold is preset, the corresponding pixel value is set to 0; after processing, the bright areas of the picture are all white, while the rest are set to black;

[0049] Step 3: Use erosion and dilation functions to clean up the noise points in the picture;

[0050] Step 4: Use the connected component analysis algorithm to mark the spot area, and further filter out the remaining spots;

[0051] Step 5: Draw the marked spots on the im...

Embodiment 2

[0065] The difference between this embodiment and Embodiment 1 is that in the step 1, the image is converted to grayscale and smoothed using the cvtColor and GaussianBlur functions in OpenCV.

Embodiment 3

[0067] The difference between this embodiment and Embodiment 1 is that, when using the erosion and expansion functions to clean up the noise points in the picture in the step 3, the erosion and expansion functions are used at least twice.

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Abstract

The invention discloses a mobile computer vision light spot detecting and positioning method, and relates to the field of light spot detecting and positioning. The method comprises the following steps: converting a picture into gray scale and smoothing; displaying the brightest area in the picture by using a threshold function; clearing noise points in the picture; marking a light spot area, and further filtering out left spots; drawing marked spots on the image; according to the picture analysis of the above steps, if effective light spots are found and marked in the picture, taking the picture as an effective picture, recording GPS information corresponding to the picture, and enabling a picture analysis thread to start to search for a next effective picture; calculating the time interval of the next effective picture according to the light spot interval input by the operator and the current moving speed read by the speedometer, ignoring the picture within the time interval, repeating the operation by the analysis software when the time interval is ended, analyzing the cached picture and continuing to find the effective picture.

Description

technical field [0001] The invention relates to the field of spot detection and positioning, in particular to a mobile computer vision spot detection and positioning method. Background technique [0002] Street lamps play a pivotal role in cities, and the rapid changes in Chinese cities have also made the construction and transformation of street lamps a norm. The continuous construction of street lamps has brought many new issues and challenges to the management of street lamps by the city management department. Precisely determining the location of streetlights for subsequent regulation is one of the more thorny topics. [0003] The urban management department does not have modern mobile monitoring equipment at present. The existing processing method is that the management personnel discover the urban facilities and smart devices by driving around, observing with the naked eye, taking pictures, using handheld devices for measurement, and calling the command center. vario...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06T5/30G06T7/136G06T7/70
CPCG06T7/0004G06T7/136G06T5/30G06T7/70G06T2207/30108G06T5/70Y02D10/00
Inventor 王铭宇潘乐琳石迪飞
Owner REDNOVA INNOVATIONS INC
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