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Label mapping method and device, equipment and storage medium

A technology for labeling and labeling areas, which is applied in the directions of instruments, character and pattern recognition, computer components, etc., can solve the problems of low efficiency of mapping and high labor cost, so as to reduce labor costs, reduce errors in mapping, and improve the accuracy of mapping degree of effect

Pending Publication Date: 2021-11-19
KEENON ROBOTICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the above label mapping method, in order to reduce the problem of inaccurate positioning caused by label posting errors or robot misrecognition, it is often necessary to manually proofread the labels detected by the robot one by one, which results in high labor costs and low mapping efficiency.

Method used

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  • Label mapping method and device, equipment and storage medium
  • Label mapping method and device, equipment and storage medium
  • Label mapping method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] figure 1 It is a flow chart of a label mapping method in Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the situation where the label confidence is obtained according to the attribute information of the label contained in the label image. This method can be constructed by label device, which can be implemented by software and / or hardware, and can be integrated in various general-purpose computer equipment. The tag mapping method in this embodiment specifically includes the following steps:

[0041] Step 110, perform image acquisition in the label area, and acquire at least one label image; the label image includes at least one label.

[0042] Among them, the tag is used for wireless positioning of the robot. Specifically, the tag can be a marker containing specific identification information pre-set in the area where the robot is located. The robot can locate by identifying the tag during operation. For example, differ...

Embodiment 2

[0056] Figure 2a It is a flow chart of a tag mapping method in Embodiment 2 of the present invention. This embodiment is further refined on the basis of the above embodiments, and provides specific steps for obtaining target tags and their confidence levels according to attribute information. Combine below Figure 2a A label mapping method provided in Embodiment 2 of the present invention is described, including the following steps:

[0057] Step 210, perform image acquisition in the label area, and acquire at least one label image; the label image includes at least one label.

[0058] Step 220, identify the label image, and acquire the attribute information of the label in the label image.

[0059] Step 230: Classify the label images according to the attribute information, and obtain the number of label images of each category.

[0060] In this embodiment, after acquiring the attribute information of the tag in the tag image, in order to avoid the wrong tag recognition ca...

Embodiment 3

[0074] image 3 It is a flow chart of a label mapping method in Embodiment 3 of the present invention. This embodiment is further refined on the basis of the above-mentioned embodiments, and provides a specific method for collecting images in the label area and obtaining at least one label image. step. Combine below image 3 A label mapping method provided in Embodiment 3 of the present invention is described, including the following steps:

[0075] Step 310: Collect images based on a preset image collection frequency, and determine whether the collected images contain tags.

[0076] In this embodiment, the robot uses the image acquisition unit carried on the top to collect images according to the preset image acquisition frequency, and recognizes the image every time a frame of image is collected, and judges whether the image contains a label, or every time a set number of images are collected The images are identified uniformly, and it is judged whether the collected imag...

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Abstract

The embodiment of the invention discloses a label mapping method, system and device, equipment and a medium. The label mapping method comprises the following steps: carrying out image acquisition in a label area to obtain at least one label image; wherein the label image comprises at least one label; identifying the label image, and acquiring attribute information of a label in the label image; and according to the attribute information, obtaining a target tag and confidence thereof. According to the technical scheme provided by the embodiment of the invention, the confidence coefficient of the label is obtained through the attribute information of the label contained in the label image, so that label addition in the robot map according to the confidence coefficient is facilitated, and the efficiency and accuracy of label mapping are improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of wireless positioning, and in particular to a label mapping method, device, equipment and storage medium. Background technique [0002] With the rapid development of the field of artificial intelligence, robots are widely used in more and more scenarios, such as delivery robots, disinfection robots, reception robots, and sweeping robots. [0003] Before the robot is officially used or when the operating environment changes, a map needs to be established or updated to enable accurate positioning during use. Simultaneous localization and mapping (SLAM) is a method to realize the positioning or mapping of robots in unknown environments. The commonly used methods in SLAM include visual SLAM and laser SLAM. Among them, visual SLAM has been widely used due to its low cost. application. For example, positioning tags can be set in the operating environment of the robot, such as the ceil...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20G06K9/34
Inventor 张飞万永辉唐旋来
Owner KEENON ROBOTICS CO LTD
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