CN114119601B - Mattress replacement identification system and method based on numerical analysis - Google Patents
Mattress replacement identification system and method based on numerical analysis Download PDFInfo
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Abstract
The invention relates to a mattress replacement identification system based on numerical analysis, which comprises: the mattress article is placed above the horizontal support plate body at the bottom of the bed body and is used for providing a support platform for a person lying above the mattress article; the parameter extraction component is used for extracting imaging depth of field data corresponding to each pixel point of the bed cushion picture; and the numerical identification component is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold value. The invention also relates to a mattress replacement identification method based on numerical analysis. The mattress replacement identification system and method based on numerical analysis are compact in design and wide in application. The customized intelligent recognition mechanism based on the color characteristics and the customized numerical analysis mechanism based on the standard deviation can be adopted to realize the field analysis of the surface flatness of the currently used mattress supplies, so that the user is helped to locate the real reason of discomfort in use.
Description
Technical Field
The invention relates to the field of mattress supplies, in particular to a system and a method for identifying replacement of a mattress based on numerical analysis.
Background
The mattress is an article between the human body and the bed, which is used for ensuring that consumers obtain healthy and comfortable sleep. The mattress material is various, and the mattress made of different materials can bring different sleep effects to people.
For example, palm mattresses are woven from palm fibers and are generally stiff or stiff with a little to no softness. The mattress is relatively inexpensive. When the palm fiber is used, the palm fiber has natural palm smell, is poor in durability, easy to collapse and deform, poor in bearing performance, difficult to maintain, easy to damage by worms or mildew and the like.
Modern palm mattress is made of palm or coconut palm with modern adhesive. Has the characteristic of environmental protection. The mountain palm and coconut palm mattresses are distinguished in that the mountain palm is excellent in toughness but insufficient in bearing capacity, and the coconut palm is better in integral bearing capacity and durability, uniform in stress and relatively hard to the mountain palm.
In the prior art, the mattress is easy to generate surface deformation phenomenon under the condition of long-term use or violent impact, so that a user cannot obtain the use effect matched with a product in subsequent use, and further possibly determines that the mattress article needs to be replaced. However, whether the surface of the mattress is deformed or not is difficult to detect by naked eyes, so that a user cannot accurately know the actual reason of using discomfort.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a mattress replacement identification system and method based on numerical analysis, which can realize field analysis of the surface flatness of the currently used mattress product by adopting a customized intelligent identification mechanism based on the color characteristics of an outer-layer knitted fabric of the mattress product and a customized numerical analysis mechanism based on standard deviation, thereby providing reference data for whether the mattress product is subsequently replaced or not.
Compared with the prior art, the invention at least needs to have the following two prominent substantive characteristics:
(1) identifying a mattress sub-picture in the field picture after targeted optimization processing based on the color characteristics of the outer-layer knitted fabric of the mattress article, and judging whether the surface of the mattress article is flat or not based on the numerical analysis result of each depth of field data of each pixel point forming the mattress sub-picture, thereby providing key information for changing the mattress article or not;
(2) the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space, and pixel points of which the red brightness, the green brightness and the blue brightness are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval in a field picture after targeted optimization processing are used as constituent pixel points for constituting a mattress sub-picture.
According to an aspect of the present invention, there is provided a mattress replacement identification system based on numerical analysis, the system comprising:
the mattress article is placed above the horizontal support plate body at the bottom of the bed body and is used for providing a support platform for a person lying above the mattress article;
the top imaging mechanism is arranged at the roof position right above the central position of the bed body and used for executing imaging actions of a scene where the mattress article is located towards the mattress article so as to obtain a corresponding field imaging frame;
the head end operating mechanism is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the secondary end operating mechanism is connected with the head end operating mechanism and used for executing salt and pepper noise removal operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the terminal operating mechanism is connected with the secondary terminal operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary terminal operating picture so as to obtain a corresponding terminal operating picture;
the color identification component is connected with the tail end operation mechanism and is used for identifying a mattress sub-picture in the received tail end operation picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the parameter extraction part is connected with the color identification part and is used for extracting imaging depth data corresponding to each pixel point of the bed cushion picture;
the numerical identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold;
a feature storage unit connected to the color discrimination unit and configured to store a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space in advance;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: and taking pixel points of which the red brightness, the green brightness and the blue brightness are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval in the terminal operation picture as constituent pixel points of the mattress sub-picture.
According to another aspect of the present invention, there is also provided a mattress replacement identification method based on numerical analysis, the method including:
the mattress article is used for being placed above the horizontal support plate body at the bottom of the bed body and providing a support platform for a person lying above the mattress article;
a top imaging mechanism is used, is arranged at the roof position right above the central position of the bed body and is used for executing the imaging action of the scene where the mattress article is located facing the mattress article so as to obtain a corresponding field imaging frame;
a head end operating mechanism is used, is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the using secondary end operating mechanism is connected with the head end operating mechanism and used for executing salt and pepper noise removing operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the using end operating mechanism is connected with the secondary end operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary end operating picture so as to obtain a corresponding end operating picture;
the using color identification component is connected with the terminal operating mechanism and used for identifying a mattress sub-picture in the received terminal operating picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the using parameter extracting part is connected with the color identifying part and is used for extracting imaging depth-of-field data corresponding to each constituent pixel point of the bed cushion picture;
the use value identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold value;
a use characteristic storage unit connected to the color discrimination unit and configured to store in advance a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: and taking pixel points of which the red brightness, the green brightness and the blue brightness are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval in the terminal operation picture as constituent pixel points of the mattress sub-picture.
The mattress replacement identification system and method based on numerical analysis are compact in design and wide in application. The customized intelligent recognition mechanism based on the color characteristics and the customized numerical analysis mechanism based on the standard deviation can be adopted to realize the field analysis of the surface flatness of the currently used mattress supplies, so that the user is helped to locate the real reason of discomfort in use.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural view illustrating a mattress to which a system and method for identifying a replacement of a mattress based on numerical analysis according to an embodiment of the present invention are applied.
Detailed Description
Embodiments of the present invention of a system and method for mattress replacement identification based on numerical analysis will be described in detail with reference to the accompanying drawings.
The latex mattress is combined into latex and natural latex, the synthetic latex is derived from petroleum and has insufficient elasticity and air permeability, and the natural latex is derived from rubber trees. The natural latex has light frankincense flavor, is more close to nature, is soft and comfortable, has good ventilation, can inhibit bacteria and allergen from hiding, and has high cost.
The 3D mattress comprises two-sided screen cloth and intermediate junction silk, and two-sided screen cloth has decided the gas permeability that traditional material is incomparable, and the intermediate junction silk is the thick dacron monofilament of 0.18mm, has guaranteed the resilience of 3D screen cloth.
The spring mattress belongs to a modern common mattress with better performance, and the mattress core of the spring mattress consists of springs. The cushion has the advantages of good elasticity, better bearing performance, stronger air permeability, durability and the like. With the entry of foreign advanced technologies and the large number of patent applications in the modern times, spring mattresses have been subdivided into many categories, such as independent bagged bed nets, five-area bed nets, spring and latex systems, and the like, which greatly enriches the choices of people.
In the prior art, the mattress is easy to generate surface deformation phenomenon under the condition of long-term use or violent impact, so that a user cannot obtain the use effect matched with a product in subsequent use, and further possibly determines that the mattress article needs to be replaced. However, whether the surface of the mattress is deformed or not is difficult to detect by naked eyes, so that a user cannot accurately know the actual reason of discomfort in use.
In order to overcome the defects, the invention builds a mattress replacement identification system and method based on numerical analysis, and can effectively solve the corresponding technical problems.
Fig. 1 is a schematic structural view illustrating a mattress to which a system and method for identifying a replacement of a mattress based on numerical analysis according to an embodiment of the present invention are applied.
As shown in fig. 1, 1 is a side fabric of the mattress, and 2 is a front fabric of the mattress.
The first embodiment is as follows:
the mattress replacement identification system based on numerical analysis comprises the following components:
the mattress article is placed above the horizontal support plate body at the bottom of the bed body and is used for providing a support platform for a person lying above the mattress article;
the top imaging mechanism is arranged at the roof position right above the central position of the bed body and used for executing imaging actions of a scene where the mattress article is located towards the mattress article so as to obtain a corresponding field imaging frame;
the head end operating mechanism is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removal operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the secondary end operating mechanism is connected with the head end operating mechanism and used for executing salt and pepper noise removal operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the terminal operating mechanism is connected with the secondary terminal operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary terminal operating picture so as to obtain a corresponding terminal operating picture;
the color identification component is connected with the end operation mechanism and is used for identifying a mattress sub-picture in the received end operation picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the parameter extraction part is connected with the color identification part and is used for extracting imaging depth data corresponding to each pixel point of the bed cushion picture;
the numerical identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold;
a feature storage unit connected to the color discrimination unit and configured to store a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space in advance;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: pixel points of red brightness, green brightness and blue brightness in the terminal operation picture, which are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval, are used as constituent pixel points for forming the mattress sub-picture;
the numerical identification component is further used for sending a flat signal of the surface of the mattress when the standard deviation of each imaging field depth data is smaller than the preset standard deviation threshold value;
the tail end operating mechanism comprises a first conversion unit and a second conversion unit, and the second conversion unit is connected with the first conversion unit;
the first conversion unit is used for executing pulse noise removal operation on the received picture signal;
the second conversion unit is used for executing contrast lifting operation on the received picture signal to obtain a corresponding terminal operation picture.
Embodiment two:
the mattress replacement identification system based on numerical analysis comprises the following components:
the mattress article is placed above the horizontal support plate body at the bottom of the bed body and is used for providing a support platform for a person lying above the mattress article;
the top imaging mechanism is arranged at the roof position right above the central position of the bed body and used for executing imaging actions of a scene where the mattress article is located towards the mattress article so as to obtain a corresponding field imaging frame;
the head end operating mechanism is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the secondary end operating mechanism is connected with the head end operating mechanism and used for executing salt and pepper noise removal operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the terminal operating mechanism is connected with the secondary terminal operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary terminal operating picture so as to obtain a corresponding terminal operating picture;
the color identification component is connected with the tail end operation mechanism and is used for identifying a mattress sub-picture in the received tail end operation picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the parameter extraction part is connected with the color identification part and is used for extracting imaging depth data corresponding to each pixel point of the bed cushion picture;
the numerical identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold;
a feature storage unit connected to the color discrimination unit and configured to store a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space in advance;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: pixel points of red brightness, green brightness and blue brightness in the terminal operation picture, which are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval, are used as constituent pixel points for forming the mattress sub-picture;
a control box for storing the head end operating mechanism, the sub end operating mechanism, the tail end operating mechanism and the color discrimination member;
a UART communication interface connected to the head end operating mechanism, the sub end operating mechanism, the color identifying part, the parameter extracting part, the numerical value identifying part, and the feature storing part, respectively;
wherein, the UART communication interface is configured to provide configuration data of various requirements for the head end operating mechanism, the sub end operating mechanism, the color identifying part, the parameter extracting part, the value identifying part, and the feature storing part, respectively;
the numerical identification component is further used for sending a flat signal of the surface of the mattress when the standard deviation of each imaging field depth data is smaller than the preset standard deviation threshold value;
the tail end operating mechanism comprises a first conversion unit and a second conversion unit, and the second conversion unit is connected with the first conversion unit;
the first conversion unit is used for executing pulse noise removal operation on the received picture signal;
the second conversion unit is used for executing contrast lifting operation on the received picture signal to obtain a corresponding terminal operation picture.
The third embodiment is as follows:
the mattress replacement identification method based on numerical analysis comprises the following steps:
the mattress article is used for being placed above the horizontal support plate body at the bottom of the bed body and providing a support platform for a person lying above the mattress article;
a top imaging mechanism is used, is arranged at the roof position right above the central position of the bed body and is used for executing the imaging action of the scene where the mattress article is located facing the mattress article so as to obtain a corresponding field imaging frame;
a head end operating mechanism is used, is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the using secondary end operating mechanism is connected with the head end operating mechanism and used for executing salt and pepper noise removing operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the using end operating mechanism is connected with the secondary end operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary end operating picture so as to obtain a corresponding end operating picture;
the using color identification component is connected with the terminal operating mechanism and used for identifying a mattress sub-picture in the received terminal operating picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the using parameter extracting part is connected with the color identifying part and is used for extracting each imaging depth of field data corresponding to each pixel point of the bed cushion picture;
the use value identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold value;
a use characteristic storage unit connected to the color discrimination unit and configured to store in advance a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: pixel points of red brightness, green brightness and blue brightness in the terminal operation picture, which are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval, are used as constituent pixel points for forming the mattress sub-picture;
the numerical identification component is further used for sending a flat signal of the surface of the mattress when the standard deviation of each imaging field depth data is smaller than the preset standard deviation threshold value;
the tail end operating mechanism comprises a first conversion unit and a second conversion unit, and the second conversion unit is connected with the first conversion unit;
the first conversion unit is used for executing impulse noise removal operation on the received picture signal;
the second conversion unit is used for executing contrast lifting operation on the received picture signal to obtain a corresponding terminal operation picture.
The fourth embodiment:
the mattress replacement identification method based on numerical analysis comprises the following steps:
the mattress article is used for being placed above a horizontal supporting plate body at the bottom of a bed body and providing a supporting platform for a person lying above the mattress article;
a top imaging mechanism is used, is arranged at the roof position right above the central position of the bed body and is used for executing the imaging action of the scene where the mattress article is located facing the mattress article so as to obtain a corresponding field imaging frame;
a head end operating mechanism is used, is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the using secondary end operating mechanism is connected with the head end operating mechanism and is used for executing salt and pepper noise removing operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the using end operating mechanism is connected with the secondary end operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary end operating picture so as to obtain a corresponding end operating picture;
the using color identification component is connected with the terminal operating mechanism and used for identifying a mattress sub-picture in the received terminal operating picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the using parameter extracting part is connected with the color identifying part and is used for extracting each imaging depth of field data corresponding to each pixel point of the bed cushion picture;
the use value identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold value;
a use characteristic storage unit connected to the color discrimination unit and configured to store in advance a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: pixel points of red brightness, green brightness and blue brightness in the terminal operation picture, which are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval, are used as constituent pixel points for forming the mattress sub-picture;
a use control box for storing the head end operating mechanism, the sub end operating mechanism, the tail end operating mechanism and the color discrimination member;
a UART communication interface connected to the head end operating mechanism, the sub end operating mechanism, the color identifying part, the parameter extracting part, the numerical value identifying part, and the feature storing part, respectively;
wherein, the UART communication interface is configured to provide configuration data of various requirements for the head end operating mechanism, the sub end operating mechanism, the color identifying part, the parameter extracting part, the value identifying part, and the feature storing part, respectively;
the numerical identification component is further used for sending a flat signal of the surface of the mattress when the standard deviation of each imaging field depth data is smaller than the preset standard deviation threshold value;
the tail end operating mechanism comprises a first conversion unit and a second conversion unit, and the second conversion unit is connected with the first conversion unit;
the first conversion unit is used for executing pulse noise removal operation on the received picture signal;
the second conversion unit is used for executing contrast lifting operation on the received picture signal to obtain a corresponding terminal operation picture.
In addition, in the system and method for identifying a mattress change based on numerical analysis, identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further includes: and taking the pixel points of the terminal operation picture, which have any color brightness of red brightness, green brightness and blue brightness and are not matched with any color brightness distribution interval of the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval, as other pixel points which do not form the mattress sub-picture.
Many modifications and variations may be made in the techniques and data structures described and illustrated herein without departing from the spirit and scope of the present claims. Accordingly, it should be understood that the methods and apparatus described herein are illustrative only and are not limiting upon the claims.
Claims (10)
1. A system for mattress change identification based on numerical analysis, the system comprising:
the mattress article is placed above the horizontal support plate body at the bottom of the bed body and is used for providing a support platform for a person lying above the mattress article;
the top imaging mechanism is arranged at the roof position right above the central position of the bed body and used for executing imaging actions of a scene where the mattress article is located towards the mattress article so as to obtain a corresponding field imaging frame;
the head end operating mechanism is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the secondary end operating mechanism is connected with the head end operating mechanism and used for executing salt and pepper noise removal operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the terminal operating mechanism is connected with the secondary terminal operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary terminal operating picture so as to obtain a corresponding terminal operating picture;
the color identification component is connected with the end operation mechanism and is used for identifying a mattress sub-picture in the received end operation picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the parameter extraction part is connected with the color identification part and is used for extracting imaging depth data corresponding to each pixel point of the bed cushion picture;
the numerical identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold;
a feature storage unit connected to the color discrimination unit and configured to store a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space in advance;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: and taking pixel points of which the red brightness, the green brightness and the blue brightness are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval in the terminal operation picture as constituent pixel points of the mattress sub-picture.
2. A numerical analysis based mattress change identification system according to claim 1, the system further comprising:
a control box for storing the head end operating mechanism, the sub end operating mechanism, the tail end operating mechanism and the color identifying member;
a UART communication interface connected to the head end operating mechanism, the sub end operating mechanism, the color identifying part, the parameter extracting part, the numerical value identifying part, and the feature storing part, respectively;
wherein the UART communication interface is configured to provide configuration data of various requirements to the head end operating mechanism, the sub end operating mechanism, the color discriminating part, the parameter extracting part, the value discriminating part, and the feature storing part, respectively.
3. A system for mattress change identification based on numerical analysis according to any of claims 1-2, characterized in that:
the numerical identification component is further used for sending out a flat signal of the surface of the mattress when the standard deviation of each imaging field depth data is smaller than the preset standard deviation threshold value.
4. A mattress change identification system based on numerical analysis according to any of claims 1-2, wherein:
the end operating mechanism comprises a first conversion unit and a second conversion unit, and the second conversion unit is connected with the first conversion unit.
5. A mattress change identification system based on numerical analysis according to claim 4 wherein:
the first conversion unit is used for executing pulse noise removal operation on the received picture signal;
the second conversion unit is used for executing contrast lifting operation on the received picture signal to obtain a corresponding terminal operation picture.
6. A method for identifying a mattress replacement based on numerical analysis, the method comprising:
the mattress article is used for being placed above the horizontal support plate body at the bottom of the bed body and providing a support platform for a person lying above the mattress article;
a top imaging mechanism is used, is arranged at the position of the roof right above the central position of the bed body and is used for executing the imaging action of the scene where the mattress article is located to the mattress article so as to obtain a corresponding field imaging frame;
a head end operating mechanism is used, is positioned in the control box body near the top imaging mechanism, is electrically connected with the top imaging mechanism and is used for executing Gaussian white noise removing operation on the received field imaging frame so as to obtain a corresponding head end operating picture;
the using secondary end operating mechanism is connected with the head end operating mechanism and is used for executing salt and pepper noise removing operation on the received head end operating picture so as to obtain a corresponding secondary end operating picture;
the using end operating mechanism is connected with the secondary end operating mechanism and used for executing pulse noise removal operation and contrast improvement operation on the received secondary end operating picture so as to obtain a corresponding end operating picture;
the using color identification component is connected with the terminal operating mechanism and used for identifying a mattress sub-picture in the received terminal operating picture based on the color characteristics of the outer layer knitted fabric of the mattress article;
the using parameter extracting part is connected with the color identifying part and is used for extracting imaging depth-of-field data corresponding to each constituent pixel point of the bed cushion picture;
the use value identification component is connected with the parameter extraction component and is used for sending out a signal of uneven surface of the mattress when the standard deviation of each imaging field depth data is greater than or equal to a preset standard deviation threshold value;
a use characteristic storage unit connected to the color discrimination unit and configured to store in advance a red luminance distribution section, a green luminance distribution section, and a blue luminance distribution section in an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply comprises: the color characteristics of the outer layer braided fabric of the mattress article are a red brightness distribution interval, a green brightness distribution interval and a blue brightness distribution interval under an RGB color space;
wherein identifying a mattress sprite in the received end operation screen based on the color characteristics of the outer layer fabric of the mattress supply further comprises: and taking pixel points of which the red brightness, the green brightness and the blue brightness in the terminal operation picture are respectively matched with the red brightness distribution interval, the green brightness distribution interval and the blue brightness distribution interval as constituent pixel points for forming the sub-picture of the mattress.
7. A method for mattress change identification based on numerical analysis according to claim 6, the method further comprising:
a use control box for storing the head end operating mechanism, the sub end operating mechanism, the tail end operating mechanism and the color discrimination member;
a UART communication interface connected to the head end operating mechanism, the sub end operating mechanism, the color identifying part, the parameter extracting part, the numerical value identifying part, and the feature storing part, respectively;
wherein the UART communication interface is configured to provide configuration data of various requirements to the head end operating mechanism, the sub end operating mechanism, the color discriminating part, the parameter extracting part, the value discriminating part, and the feature storing part, respectively.
8. A method of mattress change identification based on numerical analysis according to any of claims 6-7, characterized in that:
the numerical identification component is further used for sending out a flat signal of the surface of the mattress when the standard deviation of each imaging field depth data is smaller than the preset standard deviation threshold value.
9. A method of mattress change identification based on numerical analysis according to any of claims 6-7, characterized in that:
the end operating mechanism comprises a first conversion unit and a second conversion unit, and the second conversion unit is connected with the first conversion unit.
10. A mattress change identification method based on numerical analysis according to claim 9, characterized in that:
the first conversion unit is used for executing pulse noise removal operation on the received picture signal;
the second conversion unit is used for executing contrast lifting operation on the received picture signal to obtain a corresponding terminal operation picture.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013074395A (en) * | 2011-09-27 | 2013-04-22 | Ricoh Co Ltd | Imaging apparatus |
| CN109086488A (en) * | 2018-07-02 | 2018-12-25 | 东莞市慕思寝室用品有限公司 | Mattress customizing device and method |
| CN110693472A (en) * | 2019-10-16 | 2020-01-17 | 赵佳祎 | Intelligent monitoring mattress and monitoring method thereof |
| CN112543606A (en) * | 2018-07-31 | 2021-03-23 | 帝斯曼知识产权资产管理有限公司 | Method for monitoring mattress quality |
| CN214471779U (en) * | 2020-09-11 | 2021-10-22 | 深圳数联天下智能科技有限公司 | Mattress check out test set |
-
2021
- 2021-12-12 CN CN202111513218.3A patent/CN114119601B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013074395A (en) * | 2011-09-27 | 2013-04-22 | Ricoh Co Ltd | Imaging apparatus |
| CN109086488A (en) * | 2018-07-02 | 2018-12-25 | 东莞市慕思寝室用品有限公司 | Mattress customizing device and method |
| CN112543606A (en) * | 2018-07-31 | 2021-03-23 | 帝斯曼知识产权资产管理有限公司 | Method for monitoring mattress quality |
| CN110693472A (en) * | 2019-10-16 | 2020-01-17 | 赵佳祎 | Intelligent monitoring mattress and monitoring method thereof |
| CN214471779U (en) * | 2020-09-11 | 2021-10-22 | 深圳数联天下智能科技有限公司 | Mattress check out test set |
Non-Patent Citations (2)
| Title |
|---|
| 如何确定床垫是否该更换了;百度经验原创;《百度经验》;20201121;第1-2页 * |
| 床垫透气性检测装置设计研究;王综综;《木材加工机械》;20191110(第2019年30期);20-22 * |
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