CN117858316A - Lamp box brightness automatic adjusting method and device, electronic equipment and storage medium - Google Patents

Lamp box brightness automatic adjusting method and device, electronic equipment and storage medium Download PDF

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Publication number
CN117858316A
CN117858316A CN202311668050.2A CN202311668050A CN117858316A CN 117858316 A CN117858316 A CN 117858316A CN 202311668050 A CN202311668050 A CN 202311668050A CN 117858316 A CN117858316 A CN 117858316A
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China
Prior art keywords
brightness
target
adjustment value
data
target area
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Pending
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CN202311668050.2A
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Chinese (zh)
Inventor
陈敬谦
黄飞
张春利
赵启东
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Guangzhou Luotu Terminal Technology Co ltd
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Guangzhou Luotu Terminal Technology Co ltd
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Priority to CN202311668050.2A priority Critical patent/CN117858316A/en
Publication of CN117858316A publication Critical patent/CN117858316A/en
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

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Abstract

The invention discloses a method and a device for automatically adjusting the brightness of a lamp box, electronic equipment and a storage medium, wherein the method comprises the following steps: responding to an identification instruction of a target object in a target area, and acquiring an image of the target area to obtain a target image; acquiring ambient light brightness data of a target area; according to the target image, performing age bracket analysis processing on the target object to obtain age data of the target object; determining a brightness adjustment value according to the ambient light brightness data and the age data; and carrying out self-adaptive adjustment on the brightness of the lamp box according to the brightness adjustment value. The embodiment of the invention carries out self-adaptive adjustment on the lamp box based on the ambient light brightness and the age data obtained by recognition, can effectively save the power used by the lamp box, accurately provides the proper brightness for a user, and can be widely applied to the technical field of data processing.

Description

Lamp box brightness automatic adjusting method and device, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for automatically adjusting the brightness of a lamp box, electronic equipment and a storage medium.
Background
Along with the rapid development of social economy and the progress of scientific technology, intelligent algorithms are increasingly applied to lottery equipment, and as unattended self-service lottery equipment, the intelligent function is becoming more and more important. The prior art lottery auxiliary equipment lamp box is not beneficial to saving electric power energy, no matter whether the user exists in the area or not in the daytime and at night.
Disclosure of Invention
In view of the above, the embodiments of the present invention provide a method, an apparatus, an electronic device, and a storage medium for automatically adjusting the brightness of a light box, which can effectively and accurately perform the automatic adjustment of the brightness of the light box.
In one aspect, an embodiment of the present invention provides a method for automatically adjusting brightness of a light box, including:
responding to an identification instruction of a target object in a target area, and acquiring an image of the target area to obtain a target image;
acquiring ambient light brightness data of a target area;
according to the target image, performing age bracket analysis processing on the target object to obtain age data of the target object;
determining a brightness adjustment value according to the ambient light brightness data and the age data;
and carrying out self-adaptive adjustment on the brightness of the lamp box according to the brightness adjustment value.
Optionally, the method further comprises:
identifying and detecting a target area through a human body infrared detection device;
when the detected target object is identified in the target area, an identification instruction is triggered.
Optionally, in response to an identification instruction of a target object in the target area, performing image acquisition on the target area includes:
responding to an identification instruction of a target object in a target area, and starting an image acquisition device;
and acquiring an image of the target area through an image acquisition device.
Optionally, acquiring ambient light brightness data of the target area includes:
and periodically collecting the ambient light brightness data of the target area through an ambient light detection device.
Optionally, according to the target image, performing age bracket analysis processing on the target object to obtain age data of the target object, including:
collecting a face image of a target object from a target image;
facial feature analysis is performed on the facial image, and age data of the target object is obtained based on the result of the facial feature analysis.
Optionally, determining the brightness adjustment value according to the ambient light brightness data and the age data includes:
determining a first adjustment value according to a first difference value between the ambient light brightness data and a preset reference brightness;
determining a second adjustment value according to a second difference value between the age data and a preset reference age;
and determining a brightness adjustment value according to the first adjustment value and the second adjustment value.
Optionally, determining the brightness adjustment value according to the first adjustment value and the second adjustment value includes:
and according to the first adjustment value and the second adjustment value, carrying out weighted summation by combining preset weights to obtain a brightness adjustment value.
On the other hand, the embodiment of the invention provides an automatic adjusting device for the brightness of a lamp box, which comprises the following components:
the first module is used for responding to the identification instruction of the target object in the target area, and acquiring an image of the target area to obtain a target image;
a second module, configured to obtain ambient light brightness data of the target area;
the third module is used for analyzing and processing the age bracket of the target object according to the target image to obtain age data of the target object;
a fourth module for determining a brightness adjustment value according to the ambient light brightness data and the age data;
and the fifth module is used for adaptively adjusting the brightness of the lamp box according to the brightness adjusting value.
Optionally, the apparatus further comprises:
a sixth module, configured to identify and detect the target area through the human infrared detection device;
and a seventh module for triggering the identification instruction when the detected target object is identified in the target area.
In another aspect, an embodiment of the present invention provides an electronic device, including a processor and a memory;
the memory is used for storing programs;
the processor executes a program to implement the method as before.
In another aspect, embodiments of the present invention provide a computer-readable storage medium storing a program for execution by a processor to perform a method as previously described.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
The method comprises the steps of firstly, responding to an identification instruction of a target object in a target area, and acquiring an image of the target area to obtain a target image; acquiring ambient light brightness data of a target area; according to the target image, performing age bracket analysis processing on the target object to obtain age data of the target object; determining a brightness adjustment value according to the ambient light brightness data and the age data; and carrying out self-adaptive adjustment on the brightness of the lamp box according to the brightness adjustment value. The embodiment of the invention carries out self-adaptive adjustment on the lamp box based on the ambient light brightness and the age data obtained by recognition, can effectively save the power used by the lamp box, and simultaneously accurately provides proper brightness for a user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for automatically adjusting the brightness of a lamp box according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an automatic brightness adjustment system for a lamp box according to an embodiment of the present invention;
fig. 3 is a schematic overall flow chart of a method for automatically adjusting the brightness of a lamp box according to an embodiment of the present invention;
fig. 4 is a schematic view of an appearance structure of a lamp box according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an automatic brightness adjusting device for a lamp box according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a frame of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In one aspect, as shown in fig. 1, an embodiment of the present invention provides a method for automatically adjusting brightness of a light box, including:
s100, responding to an identification instruction of a target object in a target area, and acquiring an image of the target area to obtain a target image;
in some embodiments, the method may further include: identifying and detecting a target area through a human body infrared detection device; when the detected target object is identified in the target area, an identification instruction is triggered.
In some embodiments, in response to an identification instruction of a target object in a target area, image acquisition is performed on the target area, including: responding to an identification instruction of a target object in a target area, and starting an image acquisition device; and acquiring an image of the target area through an image acquisition device.
S200, acquiring the ambient light brightness data of a target area;
it should be noted that, in some embodiments, step S200 may include: and periodically collecting the ambient light brightness data of the target area through an ambient light detection device.
S300, analyzing and processing the age bracket of the target object according to the target image to obtain age data of the target object;
it should be noted that, in some embodiments, step S300 may include: collecting a face image of a target object from a target image; facial feature analysis is performed on the facial image, and age data of the target object is obtained based on the result of the facial feature analysis.
Illustratively, in some embodiments, age identification may be generally implemented in two stages:
stage 1: detecting a face in an input image/video;
stage 2: the face of the person (region of interest, ROI) is extracted and the age of the person is predicted by an algorithm of an age detector.
For phase 1, face detectors are available that can generate a bezel for a face in a picture, including but not limited to Haar cascades, HOG + linear SVM, single bar detectors (SSD), etc. The advantages and disadvantages of various face detectors are as follows
Haar cascades are fast and can run in real time on embedded devices, with the problem that they are less accurate and are very prone to false positive detection.
The HOG + linear SVM model is more accurate than Haar cascades, but at a slower rate. They are also less tolerant to occlusion (i.e., portions of the face are visible) or changes in viewing angle (i.e., different views of the face).
The deep learning based face detector is the most powerful, providing the highest accuracy, but requires more computational resources than Haar cascades and HOG + linear SVMs.
When the face detector is selected in practical application, the corresponding face detector can be selected based on the emphasis of different detection speeds or detection accuracy.
After the boundary box coordinates of the face are generated in the image/video based on the face detector, stage 2, which identifies the age of the person, can be entered. The specific flow is as follows:
after the bounding box coordinates (x, y) of the face are determined, the face ROI is first extracted, while the rest of the image (frame) is ignored. This may be done so that the age detector only focuses on the face, not other irrelevant "noise" points in the image.
The facial ROI is then passed to the model, resulting in an actual age prediction.
There are many algorithmic models of age detectors, and the model used in the embodiments of the present invention is not particularly limited, and for example, an age detector based on deep learning may be used as the age detection model.
S400, determining a brightness adjustment value according to the ambient light brightness data and the age data;
it should be noted that, in some embodiments, step S400 may include: determining a first adjustment value according to a first difference value between the ambient light brightness data and a preset reference brightness; determining a second adjustment value according to a second difference value between the age data and a preset reference age; and determining a brightness adjustment value according to the first adjustment value and the second adjustment value.
In some embodiments, determining the brightness adjustment value according to the first adjustment value and the second adjustment value may include: and according to the first adjustment value and the second adjustment value, carrying out weighted summation by combining preset weights to obtain a brightness adjustment value. For example, the weight of the brightness adjustment of the light brightness data of the heavy environment or the light brightness adjustment of the light age data of the heavy environment can be adjusted according to the actual application requirement, and the default weights are 1, that is, the first adjustment value and the second adjustment value are directly added to obtain the final brightness adjustment value.
S500, carrying out self-adaptive adjustment on the brightness of the lamp box according to the brightness adjustment value.
In some embodiments, the compensation is performed by overlaying the parameters of the ambient brightness with the pre-stored parameters of the appropriate brightness corresponding to the age. For example: the program sets a basic brightness of the lamp box, the age exceeds 30 years, and the brightness value of the lamp box increases by 5% every 5 years of age; the brightness of the lamp box is increased by 5% every 5% compared with the reference brightness.
For the purpose of illustrating the general principles of embodiments of the present invention in detail, the following general flows of embodiments of the invention are described in connection with the accompanying drawings and some specific embodiments, it being understood that the following is an explanation of the invention and is not to be construed as limiting the invention.
The embodiment of the invention provides a method for automatically adjusting the brightness of a lamp box of lottery auxiliary equipment, which aims to solve the problem that the brightness of the lamp box of the lottery auxiliary equipment cannot be automatically adjusted. The specific flow is as follows:
detecting a target object in the area through a human body infrared detection device on the lottery auxiliary equipment, and carrying out image acquisition on the target area through an image acquisition device on the equipment to acquire a target image; and obtaining regional ambient light brightness data (first data) through an ambient light detection device on the equipment.
Further, age group analysis is performed on the user based on the target image, so that user age data (second data) is obtained.
Further, the required target value data (third data) is determined based on the first data and the second data analysis.
And further adjusting the brightness of the lamp box according to the third data.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
In some embodiments, the method for automatically adjusting the brightness of the lamp box according to the embodiments of the present invention may be implemented by a system for automatically adjusting the brightness of the lamp box, and fig. 2 is a system configuration diagram of the system for automatically adjusting the brightness of the lamp box of the lottery auxiliary device according to the present invention. The invention provides a system structure for automatically adjusting the brightness of a lamp box of lottery auxiliary equipment, which specifically comprises the following components:
the system comprises a target detection module 201, an image acquisition module 202, an image processing module 203, a target value calculation module 204 and a brightness adjustment module 205.
Fig. 3 is a flowchart of a method for automatically adjusting the brightness of a lamp box of a lottery auxiliary device provided by the invention. The method for automatically adjusting the brightness of the lamp box of the auxiliary equipment for the lottery provided by the invention specifically comprises the following steps:
step 301: the human body infrared detection device detects a target object; acquiring an image through an image acquisition device on the equipment to obtain a target image; and obtaining regional ambient light parameters through an ambient light detection device on the equipment.
Step 302: obtaining age group parameters of a user through target image analysis (target facial feature analysis); and determining the brightness parameter of the lamp box by combining the age group parameter of the user and the regional ambient light parameter.
Step 303: and adjusting the brightness of the lamp box according to the brightness parameters of the lamp box.
It should be further noted that fig. 4 is an exemplary schematic diagram of a light box provided by the embodiment of the present invention, and the image acquisition device, the human body infrared detection device and the ambient light detection device may be integrated at any position of the light box, so no specific reference is made. In some embodiments, in the case that the target object is not identified, the adjustment is directly performed according to the brightness of the ambient light, for example: the illumination in the daytime or on the edge reduces the brightness or turns off the light, and the illumination in the evening or in the dark increases the brightness.
Specifically, the system stores appropriate brightness parameters corresponding to the ages, and then superimposes parameters of the ambient brightness to comprehensively compensate. For example: the program sets a basic brightness of the lamp box, the age exceeds 30 years, and the brightness value of the lamp box increases by 5% every 5 years of age; the brightness of the lamp box is increased by 5% every 5% compared with the reference brightness.
On the other hand, as shown in fig. 5, an embodiment of the present invention provides an automatic lamp box brightness adjusting device 600, including: a first module 610, configured to respond to an identification instruction of a target object in a target area, perform image acquisition on the target area, and obtain a target image; a second module 620, configured to obtain ambient light brightness data of the target area; a third module 630, configured to perform age bracket analysis processing on the target object according to the target image, to obtain age data of the target object; a fourth module 640 for determining a brightness adjustment value according to the ambient light brightness data and the age data; and a fifth module 650, configured to adaptively adjust the brightness of the lamp box according to the brightness adjustment value.
In some embodiments, the apparatus may further include:
a sixth module, configured to identify and detect the target area through the human infrared detection device;
and a seventh module for triggering the identification instruction when the detected target object is identified in the target area.
The content of the method embodiment of the invention is suitable for the device embodiment, the specific function of the device embodiment is the same as that of the method embodiment, and the achieved beneficial effects are the same as those of the method.
As shown in fig. 6, another aspect of an embodiment of the present invention further provides an electronic device 700, including a processor 710 and a memory 720;
the memory 720 is used for storing programs;
processor 710 executes a program to implement the method as before.
The content of the method embodiment of the invention is suitable for the electronic equipment embodiment, the functions of the electronic equipment embodiment are the same as those of the method embodiment, and the achieved beneficial effects are the same as those of the method.
Another aspect of the embodiments of the present invention also provides a computer-readable storage medium storing a program that is executed by a processor to implement a method as before.
The content of the method embodiment of the invention is applicable to the computer readable storage medium embodiment, the functions of the computer readable storage medium embodiment are the same as those of the method embodiment, and the achieved beneficial effects are the same as those of the method.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the invention is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the functions and/or features may be integrated in a single physical device and/or software module or may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the invention, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution apparatus, device, or apparatus, such as a computer-based apparatus, processor-containing apparatus, or other apparatus that can fetch the instructions from the instruction execution apparatus, device, or apparatus and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution apparatus, device, or apparatus.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium upon which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and the equivalent modifications or substitutions are intended to be included in the scope of the present invention as defined in the appended claims.

Claims (10)

1. The automatic regulating method for the brightness of the lamp box is characterized by comprising the following steps:
responding to an identification instruction of a target object in a target area, and acquiring an image of the target area to obtain a target image;
acquiring the ambient light brightness data of the target area;
according to the target image, performing age bracket analysis processing on the target object to obtain age data of the target object;
determining a brightness adjustment value according to the ambient light brightness data and the age data;
and carrying out self-adaptive adjustment on the brightness of the lamp box according to the brightness adjustment value.
2. The automatic lamp box brightness adjustment method according to claim 1, further comprising:
the target area is identified and detected by a human body infrared detection device;
and triggering the identification instruction when the target object is identified and detected in the target area.
3. The method for automatically adjusting the brightness of a lamp box according to claim 1, wherein the responding to the identification instruction of the target object in the target area, the image acquisition of the target area comprises:
responding to an identification instruction of a target object in a target area, and starting an image acquisition device;
and carrying out image acquisition on the target area through the image acquisition device.
4. The method for automatically adjusting the brightness of a lamp box according to claim 1, wherein the step of obtaining the ambient light brightness data of the target area comprises:
and periodically collecting the ambient light brightness data of the target area through an ambient light detection device.
5. The method for automatically adjusting the brightness of a lamp box according to claim 1, wherein the step of performing an age group analysis process on the target object according to the target image to obtain age data of the target object comprises the steps of:
acquiring a face image of the target object from the target image;
and performing facial feature analysis on the facial image, and obtaining age data of the target object based on a result of the facial feature analysis.
6. The method of claim 1, wherein said determining a brightness adjustment value based on said ambient light brightness data and said age data comprises:
determining a first adjustment value according to a first difference value between the ambient light brightness data and a preset reference brightness;
determining a second adjustment value according to a second difference value between the age data and a preset reference age;
and determining the brightness adjustment value according to the first adjustment value and the second adjustment value.
7. The method of claim 6, wherein said determining said brightness adjustment value based on said first adjustment value and said second adjustment value comprises:
and according to the first adjustment value and the second adjustment value, carrying out weighted summation by combining preset weights to obtain the brightness adjustment value.
8. An automatic lamp box brightness adjusting device, comprising:
the first module is used for responding to an identification instruction of a target object in a target area, and acquiring an image of the target area to obtain a target image;
a second module, configured to obtain ambient light brightness data of the target area;
the third module is used for analyzing and processing the age bracket of the target object according to the target image to obtain age data of the target object;
a fourth module for determining a brightness adjustment value according to the ambient light brightness data and the age data;
and the fifth module is used for adaptively adjusting the brightness of the lamp box according to the brightness adjusting value.
9. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program implements the method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the storage medium stores a program that is executed by a processor to implement the method of any one of claims 1 to 7.
CN202311668050.2A 2023-12-06 2023-12-06 Lamp box brightness automatic adjusting method and device, electronic equipment and storage medium Pending CN117858316A (en)

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Application Number Priority Date Filing Date Title
CN202311668050.2A CN117858316A (en) 2023-12-06 2023-12-06 Lamp box brightness automatic adjusting method and device, electronic equipment and storage medium

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CN117858316A true CN117858316A (en) 2024-04-09

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