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A method for counting the number of people in construction elevator cars based on multi-information fusion

A construction hoist and multi-information fusion technology, applied in the field of computer vision, can solve the problems of image sticking, low resolution, inaccurate statistics of the number of people in the construction hoist cage, and achieve the effect of high algorithm recognition accuracy and good real-time performance.

Inactive Publication Date: 2017-10-31
XIAN MAPLE TREE ELECTRONICSAL TECH DEV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for counting the number of people in the construction elevator car based on multi-information fusion, which solves the complex background, image adhesion and low resolution of the construction elevator car in the prior art, which lead to the number of people counting in the construction elevator cage inaccurate question

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  • A method for counting the number of people in construction elevator cars based on multi-information fusion
  • A method for counting the number of people in construction elevator cars based on multi-information fusion
  • A method for counting the number of people in construction elevator cars based on multi-information fusion

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Embodiment

[0068] The actual collected images of a construction site are as follows: Figure 4 , the red background is also marked in the figure, the number 1 is a yellow helmet, and the number 2 is a red helmet. Taking the red helmet as an example for analysis, Figure 5 Segment the binarized image for the image, Image 6 It is the final analysis and processing result of the present invention. Depend on Figure 5 It can be seen that after the binary segmentation, the yellow helmet is filtered out first, and there are 6 connected domains after color extraction, among which, connected domain 4 (red door frame), connected domain 5 (red background), connected domain 6 (red background) It can be directly excluded by using the area feature; the aspect ratio of the connected domain 3 is 2, but it is excluded because the duty ratio of 0.63 does not meet the target threshold; the connected domain 1 has a duty ratio of 0.82 and an aspect ratio of 1.81. The number of targets in domain 1 is 2; f...

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Abstract

The invention discloses a method for counting the number of people in a construction elevator car based on multi-information fusion. The steps include: step 1, obtaining the RGB color feature threshold of the safety helmet; step 2, image segmentation and binarization processing; step 3, removing the background Interference; step 4, performing mathematical morphology processing on the image; step 5, extracting multi-geometric features in the image; step 6, identifying the number of people through multi-information fusion. The method of the invention effectively solves the problem of using the image processing method to count the number of people in the construction elevator, has high algorithm recognition accuracy, good real-time performance, and can meet the needs of engineering applications.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a method for counting the number of people in a construction elevator car based on multi-information fusion. Background technique [0002] With the advancement of urbanization, there are more and more high-rise buildings, and the use of construction elevators is becoming more and more frequent. In order to avoid group death and group injury accidents, the number of people carried by construction elevators is limited in China, and the safety monitoring system is required to realize the elevator cage. Statistics of the number of people inside. According to the working characteristics of the construction elevator, because the car needs to transport items or staff on different floors of the building, it cannot simply install the safety calculation device outside the door. Therefore, the easiest and feasible method is to use image recognition. There are two main algorithms for ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/54
CPCG06V20/53
Inventor ζ¨ι™ζŽδΌŸ
Owner XIAN MAPLE TREE ELECTRONICSAL TECH DEV