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A method, device, storage medium and electronic equipment for classifying objects

An item and classification model technology, applied in the field of electronic information, can solve the problems of inaccurate classification and low efficiency, and achieve the effect of reducing trouble and improving efficiency.

Active Publication Date: 2022-04-08
GREE ELECTRIC APPLIANCES INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present application provides an item classification method, device, storage medium and electronic equipment, which solves the problems of inaccurate classification and low efficiency caused by artificial identification of item categories in the prior art

Method used

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  • A method, device, storage medium and electronic equipment for classifying objects
  • A method, device, storage medium and electronic equipment for classifying objects
  • A method, device, storage medium and electronic equipment for classifying objects

Examples

Experimental program
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Embodiment 1

[0045] see figure 1 , the present application provides an item classification method that can be applied to electronic devices such as mobile phones, computers, or tablet computers. When the item classification method is applied to the electronic device, steps S110-S140 are performed.

[0046] Step S110: Obtain the video to be detected.

[0047] In this embodiment, the video to be detected includes multiple frames of images, and at least one frame of the video to be detected contains an object. Wherein, the article may include garbage, and further, the garbage may be food waste or plastic waste. Wherein, in this embodiment, garbage is used as an item to explain the solution.

[0048] The video to be detected can be recorded by a device with a camera component, and the device with a camera component includes but is not limited to: mobile phone, tablet, camera, etc. Exemplarily, in the process of cooking, a large amount of garbage may be generated. In order to facilitate the ...

Embodiment 2

[0104] see Figure 6 , this embodiment also provides a garbage sorting device, the device includes a processor, and the processor is used to execute the following program modules stored in the memory: a first obtaining module, used to obtain the video to be detected; a prediction module, used According to the video to be detected, using the item classification model to obtain the classification result of the items in each frame of the image in the video to be detected; the second obtaining module is used to obtain the classification results of the items included in each frame of the image. The items in the corresponding image are identified to obtain the identified item classification video.

[0105] Wherein, the implementation principle of the first obtaining module is similar to the implementation principle of step S110 in the first embodiment above. For the implementation principle of the first obtaining module, reference may be made to the first embodiment above, which wil...

Embodiment 3

[0107] This embodiment also provides a computer-readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), only Read memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, server, App application store, etc., on which computer programs are stored, When the computer program is executed by the processor, the method steps in the first embodiment can be implemented. For the specific implementation process of the above method steps, please refer to the first embodiment, and this embodiment will not be repeated here.

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Abstract

The present application relates to the field of electronic information technology, and specifically relates to an article classification method, device, storage medium and electronic equipment, which solves the problems of inaccurate classification and low efficiency caused by artificially identifying garbage categories. The method includes: obtaining the video to be detected; according to the video to be detected, using an item classification model to obtain the classification result of the item in each frame of the image included in the video to be detected; according to the classification result of the item in each frame of image, the corresponding image Identify the items in to get the identified item classification video. The video to be detected is obtained through real-time analysis, and the position and category of the corresponding item in each frame of image are identified according to the classification result of the item in each frame of image, and then the identified item classification video is obtained for the user to use according to the identification. The item classification video of the item classification video classifies the items in the item classification video, which improves the efficiency of item classification and reduces the user's troubles in item classification.

Description

technical field [0001] The present application relates to the field of electronic information technology, and in particular to an article classification method, device, storage medium and electronic equipment. Background technique [0002] In real life, people need to classify different types of items, such as garbage classification, food classification, material classification, etc. With the continuous improvement of people's living standards, especially the problem of garbage classification, the problem of garbage is becoming more and more serious. Therefore, in order to alleviate the problems caused by garbage, more and more cities have begun to introduce garbage classification policies to urge people to classify garbage. [0003] Because most people have a vague concept of item classification and poor classification awareness, people cannot correctly classify items; and artificially classify items, resulting in low classification efficiency. [0004] Therefore, how to i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/774G06V10/82G06K9/62G06V20/60
CPCG06V20/00G06F18/214G06F18/24
Inventor 宋德超陈翀陈勇郑威李斌山李雨铭
Owner GREE ELECTRIC APPLIANCES INC