CN113489870A - Clothes recognition device and system - Google Patents

Clothes recognition device and system Download PDF

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Publication number
CN113489870A
CN113489870A CN202110755644.1A CN202110755644A CN113489870A CN 113489870 A CN113489870 A CN 113489870A CN 202110755644 A CN202110755644 A CN 202110755644A CN 113489870 A CN113489870 A CN 113489870A
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CN
China
Prior art keywords
camera
clothes
oled
light
clothing
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Pending
Application number
CN202110755644.1A
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Chinese (zh)
Inventor
刘玮
张涵
杨浩胜
程建军
杜迁
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Shenzhen Weishi Baike Technology Co ltd
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Shenzhen Weishi Baike Technology Co ltd
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Priority to CN202110755644.1A priority Critical patent/CN113489870A/en
Publication of CN113489870A publication Critical patent/CN113489870A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/95Computational photography systems, e.g. light-field imaging systems
    • H04N23/957Light-field or plenoptic cameras or camera modules
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J3/2823Imaging spectrometer
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50Constructional details
    • H04N23/52Elements optimising image sensor operation, e.g. for electromagnetic interference [EMI] protection or temperature control by heat transfer or cooling elements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/741Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70SSIS architectures; Circuits associated therewith
    • H04N25/76Addressed sensors, e.g. MOS or CMOS sensors

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Electromagnetism (AREA)
  • General Physics & Mathematics (AREA)
  • Electroluminescent Light Sources (AREA)

Abstract

The present invention relates to a clothes recognition apparatus and system, comprising: the camera unit and the light supplementing unit are respectively connected with the main control unit; the camera unit comprises a camera and a camera driving module connected with the camera; the light supplementing unit comprises a plurality of OLED lamp beads and an OLED control module connected with the OLED lamp beads; the OLED lamp beads are regularly arranged on the periphery of the camera, and each OLED lamp bead is used for emitting light with different wavelengths to supplement light; the OLED control module is connected with the main control unit and is used for controlling parameters of the OLED lamp beads containing wavelengths; the camera is used for collecting the clothes images after light supplement, and the camera driving module is used for sending the related data of the clothes images to the main control unit to identify the clothes types. The invention has the beneficial effects that: according to different clothes, light is supplemented through different wavelengths, so that the complexity of an identification algorithm is reduced, and the efficiency of identification and classification is improved.

Description

Clothes recognition device and system
Technical Field
The invention belongs to the technical field of clothes identification, and particularly relates to a clothes identification device and a clothes identification system.
Background
Along with the continuous development of modern economic society, the living standard of people is also continuously improved, the requirements of people on the quality of life are also continuously improved, particularly along with the rise of E-commerce and online shopping, the physical life of people is greatly improved, and higher requirements are also provided for the classification of clothes made of different materials.
The existing clothes imaging identification system mostly adopts the imaging of a common camera based on visible light, and the classification of materials of clothes is needed, so that the classification effect is poor, and the complicated artificial intelligence algorithm is needed for analysis, so that the identification efficiency is not high, and the application scene is greatly limited.
Disclosure of Invention
In order to solve the problems of complex post-processing and low efficiency in the prior art, the invention provides a clothes recognition device and a clothes recognition system, which have the characteristics of more real images, higher recognition efficiency, higher speed and the like.
A clothing recognition apparatus according to an embodiment of the present invention includes: the camera unit and the light supplementing unit are respectively connected with the main control unit;
the camera unit comprises a camera and a camera driving module connected with the camera;
the light supplementing unit comprises a plurality of OLED lamp beads and an OLED control module connected with the OLED lamp beads;
the OLED lamp beads are regularly arranged on the periphery of the camera, and each OLED lamp bead is used for emitting light with different wavelengths for light supplement;
the OLED control module is connected with the main control unit and used for controlling the OLED lamp beads to emit corresponding wavelengths to supplement light according to different clothes;
the camera is used for collecting the clothes images after light supplement, and the camera driving module is used for sending corresponding data of the clothes images to the main control unit for identifying the clothes types.
Furthermore, the clothes recognition device also comprises a display module connected with the main control unit and used for displaying the clothes image and the corresponding clothes type information.
Furthermore, the foreign object recognition device further comprises a communication module connected with the main control unit and used for providing an interface for data transmission with external equipment for the main control unit.
Further, the quantity of OLED lamp pearl is 14, equidistant setting is in the week side of camera.
Further, the wavelength range of the OLED lamp beads is 400nm-1100 nm.
Furthermore, the light supplementing unit further comprises a calibration module, and the calibration module is used for compensating the illumination intensity and the temperature of the OLED lamp beads.
Further, the camera comprises a 120-degree wide-angle CMOS camera.
According to the clothes identification system provided by the embodiment of the invention, at least two clothes identification devices are included, and the clothes identification system is used for shooting and identifying the types of clothes to be classified from different angles.
The invention has the beneficial effects that: the OLED lamp beads arranged regularly on the periphery of the camera are used for light supplement, and light supplement is carried out according to different clothes and different wavelengths, so that the obtained image is more attached to the characteristics of the clothes, the complexity of an identification algorithm is reduced, and the efficiency of identification classification is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a laundry identification device provided according to an exemplary embodiment;
FIG. 2 is a block diagram of a garment identification device and system provided in accordance with an exemplary embodiment.
Reference numerals
1-clothes; 2-a calibration module; 3-OLED lamp beads; 4-a camera; 5-an OLED control module; 6-camera driving module; 7-a communication module; 8-a main control unit; 9-a power supply module; 10-a display module; 11-a laundry identification device; 12-wardrobe.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
Referring to fig. 1 and 2, an embodiment of the present invention provides a clothes recognition apparatus, including: the camera unit and the light supplementing unit are respectively connected with the main control unit;
the camera unit comprises a camera 4 and a camera driving module 6 connected with the camera 4;
the light supplementing unit comprises a plurality of OLED lamp beads 3 and an OLED control module 5 connected with the OLED lamp beads 3;
the OLED lamp beads 3 are regularly arranged on the periphery of the camera 4, and each OLED lamp bead 3 is used for emitting light with different wavelengths for light supplement;
the OLED control module 5 is connected with the main control unit 8, and is used for controlling parameters of the OLED lamp beads 3 containing wavelengths, such as brightness, on-off and the like of a light source channel, and controlling the OLED lamp beads 3 to emit corresponding wavelengths to supplement light according to different clothes. The camera 4 is used for collecting the clothes images after light supplement, and the camera driving module 6 is used for sending corresponding data of the clothes images to the main control unit 8 to identify the types of the clothes.
Specifically, a plurality of OLED lamp beads 3 are arranged on the periphery of the camera 4 to form a plurality of light supplementing channels, so that the light waves of a plurality of wave bands can be covered. For example, from the wave band of ultraviolet-visible light-near infrared full coverage to the realization adopts the light of different wave bands to shine the clothing, because different clothing all has the reflection effect of corresponding wavelength, reflection effect is best after the light irradiation of corresponding wavelength like this, thereby can carry out the light filling according to the characteristics of clothing and no longer only rely on natural light to carry out the discernment of clothing kind, the clothing image after corresponding light filling is gathered to rethread camera, carry out the discernment of corresponding clothing kind by camera drive module 6 with corresponding image data transmission to main control unit 8. Therefore, the light supplement lamps with multiple wave bands are adopted to acquire the clothes images, and compared with the method that the common camera is adopted to identify the clothes types based on the imaging of daily visible light, the difficulty of later-stage clothes identification algorithm design is reduced, and the identification accuracy and identification efficiency are improved.
As a feasible implementation manner of the above embodiment, the main control unit 8 may be formed by a CPU + GPU or TPU, DDR, eMMC, etc., and form a minimum system for control and calculation together with the power module 9, all logic control and algorithm processing are completed in the core module, the power module 9 may supply power to the entire device, and input voltages of 12V, 2A, and output voltages of 3.3V, 5V, 1.35V, etc., to supply power. The master control unit may use a processing chip integrated with a graphics processor, such as intel's i7-8809G processor, and has a processor + AMD Vega graphics card design, which provides greater graphics processing capability. Of course, other types of processors with integrated image processing capabilities may be used in the art, and the invention is not limited thereto.
In another specific embodiment of the invention, the number of the OLED lamp beads 3 is 14, the OLED lamp beads are arranged on the periphery of the camera at equal intervals, and the wavelength range of the OLED lamp beads 3 is 400nm-1100 nm. Hyperspectral OLEDs by using annular 14-channel: the total number of light sources is 14, the ultraviolet-visible light-near infrared full coverage is achieved, and the wave band range is 400nm-1100 nm. The continuous light change of the multiband can be realized, and further the multiband light supplement is realized.
Meanwhile, in order to conveniently shoot clothes and shoot more clothes in a wider range, the camera 4 can be a wide-angle CMOS camera, the filter is removed, sensing and imaging of 400-1100nm wavelength can be realized, and a wide-angle lens with a wide-angle range of 120 degrees can be generally used for shooting images.
It can be understood that, a person skilled in the art selects the wide-angle lens with different parameters and the different numbers of OLED lamp beads for light supplement according to the size of the space in the wardrobe and the number of clothes, and the invention is not limited herein.
In some embodiments of the present invention, the clothes recognition apparatus further comprises a display module 10 connected to the main control unit for displaying the clothes image and the corresponding clothes type information. The display module 10 may be a TFT display screen, a liquid crystal display screen, or the like, which is disposed on a wardrobe on which clothes are hung, and displays corresponding recognition and classification results and photographed images.
The clothing recognition device also comprises a communication module 7 connected with the main control unit, and is used for providing an interface for the main control unit 8 to carry out data transmission with external equipment. The communication module 7 can be selected according to actual application conditions, and for wired communication, data transmission can be performed in the modes of RS232/485, USB, power line carrier and the like, so that the obtained original data or the analyzed data can be uploaded conveniently, and product debugging and later analysis can be performed. The wireless mode can adopt wireless transmission modes such as Bluetooth, WIFI and a mobile network of an operator to transmit data.
The light supplementing unit further comprises a calibration module 2, and the calibration module 2 is used for compensating the illumination intensity and the temperature of the OLED lamp beads. The calibration module 2 can adopt a feedback type adjustment mode to correspondingly adjust the color temperature of the OLED lamp bead and the temperature generated by light emission so as to control the temperature within the range set by a user, thereby ensuring the normal operation of the OLED lamp bead.
Meanwhile, in order to enhance the integration level and compactness of the device and occupy smaller space in the cabinet, all modules and the camera can be integrated on the same supporting frame, so that the device is more favorable for installation and use.
Based on the same design idea, the embodiment of the invention further provides a clothes identification system, which comprises at least two clothes identification devices 11 as described in the above embodiments, and is used for shooting and identifying the types of clothes to be classified from different angles.
Specifically, as shown in fig. 2, in a specific use, different numbers of the clothes recognition devices 11 may be set according to the size of the wardrobe accommodating space and the amount of the clothes, and the distance from the clothes may be generally kept to be about 40cm to 50cm, for example, the clothes recognition devices 11 may be respectively arranged on three side surfaces and a top surface in the wardrobe 12 to shoot the clothes 1, and further, the clothes images may be acquired from multiple angles, so that the acquired clothes images are more comprehensive, and the efficiency of clothes classification and identification is further improved.
According to the clothes recognition device and the clothes recognition system provided by the embodiment of the invention, the OLED lamp beads which are regularly arranged are arranged on the periphery of the camera for light supplement, specific wavelength selective imaging can be carried out on specific scenes, and light supplement is carried out on different clothes through different wavelengths, so that the obtained images are more fit with the characteristics of the clothes, the complexity of a recognition algorithm is further reduced, and the recognition and classification efficiency is improved.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (8)

1. A clothing identifying apparatus, comprising: the camera unit and the light supplementing unit are respectively connected with the main control unit;
the camera unit comprises a camera and a camera driving module connected with the camera;
the light supplementing unit comprises a plurality of OLED lamp beads and an OLED control module connected with the OLED lamp beads;
the OLED lamp beads are regularly arranged on the periphery of the camera, and each OLED lamp bead is used for emitting light with different wavelengths for light supplement;
the OLED control module is connected with the main control unit and used for controlling the OLED lamp beads to emit corresponding wavelengths to supplement light according to different clothes;
the camera is used for collecting the clothes images after light supplement, and the camera driving module is used for sending corresponding data of the clothes images to the main control unit for identifying the clothes types.
2. The clothing recognition device of claim 1, further comprising a display module connected to the main control unit for displaying the clothing image and corresponding clothing category information.
3. The clothing recognition device of claim 1, further comprising a communication module connected to the main control unit for providing an interface for the main control unit to transmit data to an external device.
4. The clothing recognition device of claim 1, wherein the number of the OLED beads is 14, and the OLED beads are arranged on the periphery of the camera at equal intervals.
5. The clothing recognition device of claim 1, wherein the OLED light bead has a wavelength in the range of 400nm to 1100 nm.
6. The clothing recognition device of claim 1, wherein the light supplement unit further comprises a calibration module, and the calibration module is used for compensating the illumination intensity and the temperature of the OLED lamp beads.
7. The garment identification device of any of claims 1-6, wherein the camera comprises a 120-degree wide-angle CMOS camera.
8. A clothing identification system, characterized in that, comprises at least two clothing identification devices according to any one of claims 1 to 7, which are used for shooting and identifying the types of the clothing to be classified from different angles.
CN202110755644.1A 2021-07-05 2021-07-05 Clothes recognition device and system Pending CN113489870A (en)

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CN202110755644.1A CN113489870A (en) 2021-07-05 2021-07-05 Clothes recognition device and system

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Application Number Priority Date Filing Date Title
CN202110755644.1A CN113489870A (en) 2021-07-05 2021-07-05 Clothes recognition device and system

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CN113489870A true CN113489870A (en) 2021-10-08

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109444052A (en) * 2018-10-29 2019-03-08 合刃科技(武汉)有限公司 Hyperspectral imaging devices, imaging system and monitoring method
CN109750450A (en) * 2017-11-01 2019-05-14 青岛海尔智能技术研发有限公司 A kind of intelligent object and intelligent washing machine identifying clothing material
CN110703652A (en) * 2019-10-23 2020-01-17 南京熊猫电子制造有限公司 Display control system and method of novel intelligent washing machine
CN110804836A (en) * 2018-07-18 2020-02-18 青岛海尔智能技术研发有限公司 Hyperspectral imaging device for detecting clothes in washing machine and washing machine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109750450A (en) * 2017-11-01 2019-05-14 青岛海尔智能技术研发有限公司 A kind of intelligent object and intelligent washing machine identifying clothing material
CN110804836A (en) * 2018-07-18 2020-02-18 青岛海尔智能技术研发有限公司 Hyperspectral imaging device for detecting clothes in washing machine and washing machine
CN109444052A (en) * 2018-10-29 2019-03-08 合刃科技(武汉)有限公司 Hyperspectral imaging devices, imaging system and monitoring method
CN110703652A (en) * 2019-10-23 2020-01-17 南京熊猫电子制造有限公司 Display control system and method of novel intelligent washing machine

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