CN113984169A - Intelligent electronic scale system based on visual analysis - Google Patents
Intelligent electronic scale system based on visual analysis Download PDFInfo
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- CN113984169A CN113984169A CN202111251322.XA CN202111251322A CN113984169A CN 113984169 A CN113984169 A CN 113984169A CN 202111251322 A CN202111251322 A CN 202111251322A CN 113984169 A CN113984169 A CN 113984169A
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- 230000000007 visual effect Effects 0.000 title claims abstract description 66
- 238000004458 analytical method Methods 0.000 title claims abstract description 15
- 238000005303 weighing Methods 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000007246 mechanism Effects 0.000 claims abstract description 9
- 230000008569 process Effects 0.000 claims abstract description 4
- 238000011084 recovery Methods 0.000 claims description 19
- 239000006096 absorbing agent Substances 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000001179 sorption measurement Methods 0.000 claims description 4
- 239000013589 supplement Substances 0.000 claims description 4
- 238000003708 edge detection Methods 0.000 claims description 3
- 230000014509 gene expression Effects 0.000 claims description 3
- 230000005764 inhibitory process Effects 0.000 claims description 3
- 235000012055 fruits and vegetables Nutrition 0.000 abstract description 14
- 230000009471 action Effects 0.000 abstract description 8
- 235000013399 edible fruits Nutrition 0.000 description 6
- 235000013311 vegetables Nutrition 0.000 description 6
- 235000012149 noodles Nutrition 0.000 description 5
- 238000004064 recycling Methods 0.000 description 4
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/40—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
- G01G19/413—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means
- G01G19/414—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention belongs to the technical field of electronic weighing, and particularly discloses an intelligent electronic scale system based on visual analysis, which comprises an electronic scale body, wherein a visual acquisition processing mechanism matched with the electronic scale body is arranged on the electronic scale body, the visual acquisition processing mechanism comprises a visual acquisition structure, the visual acquisition structure is provided with a visual processing structure connected with the electronic scale body, and an electronic surface single execution module connected with the visual processing structure is arranged in the electronic scale body; according to the intelligent fruit and vegetable surface sticking and paying device, the visual collection and processing mechanism is used for shooting and scanning fruits and vegetables on the electronic scale weighing plate, intelligent identification of the fruits and vegetables is carried out, and intelligent weighing is carried out through the electronic scale weighing plate, so that intelligent surface sticking and paying actions of the fruits and vegetables on the electronic scale body are achieved, the process is simple and rapid, the weighing efficiency of the fruits and vegetables can be greatly improved, and the misjudgment probability is effectively reduced.
Description
Technical Field
The invention belongs to the technical field of electronic weighing, and particularly relates to an intelligent electronic scale system based on visual analysis.
Background
The centralized consumption point of the fruits and the vegetables is a supermarket or a stall, the weighing pricing mode of the centralized consumption point is mainly that the fruits and the vegetables are weighed by an electronic scale, the fruits and the vegetables are placed on a weighing plate of the electronic scale to be weighed, and then the unit price is manually input manually or is input by a shortcut key. The method judges the types and the corresponding unit prices of the fruits and the vegetables through salesmen and extremely depends on manual participation, so that the method not only can cause the occupation of manpower, but also has low efficiency in manual weighing and is easy to judge wrongly, and particularly, when the supermarket is in a peak period, a large amount of queuing congestion of the salesmen is easy to cause, and the purchase desire of consumers is seriously influenced.
Disclosure of Invention
In order to solve the problems caused by weighing fruits, vegetables and the like, the intelligent electronic scale system based on the visual analysis and capable of intelligently identifying, weighing and attaching an intelligent surface sheet is provided.
Based on the above purpose, the invention is realized by the following technical scheme:
the utility model provides an intelligent electronic scale system based on visual analysis, includes the electronic scale body, is equipped with on the electronic scale body with electronic scale body matched with vision acquisition processing mechanism, and vision acquisition processing mechanism includes the vision collection structure, and the structural vision processing structure who is connected with the electronic scale body that is equipped with of vision collection is equipped with the electronic face list execution module who is connected with the vision processing structure in the electronic scale body.
Preferably, the vision collection structure includes the vision collection telescopic link that sets up on the electronic scale body side, and the vision collection telescopic link top is equipped with the vision collection casing, and the slope is provided with two at least vision collection cameras on the vision collection casing bottom surface, is equipped with on the vision collection casing bottom surface with vision collection camera matched with annular light filling lamp, is equipped with the display screen with vision processor electric connection on the side of one side that the telescopic link was gathered to the vision collection casing.
Preferably, the vision processing structure comprises a vision processor arranged in the vision acquisition shell, the vision processor is electrically connected with the vision acquisition camera through a vision preprocessing module respectively, and the vision processor is electrically connected with the electronic surface single execution module; a vision contrast processing module and a vision storage module which are electrically connected with the vision processor are arranged in the vision acquisition shell; the visual comparison processing module processes RGB image information acquired by the visual acquisition camera by using a Canny algorithm, and performs graying processing firstly, and the method comprises the following steps: after graying is finished, filtering out high-frequency noise superposed in an ideal image through image Gaussian filtering, and realizing the graying by one convolution through a two-dimensional Gaussian kernel, wherein the method comprises the following steps:
discretized Gaussian convolution kernel
k determines the dimensionality of the kernel matrix, expressed as:
after the gaussian kernel is obtained, the gaussian kernel is usually normalized.
The gradient of the image gray values can be approximated using a first order finite difference, which results in two matrices of partial derivatives of the image in the x and y directions. Commonly used gradient operators are Roberts operator, Sobel operator, Prewitt operator, etc. The operator is simple and is expressed as follows:
the mathematical expressions of the first-order partial derivative matrix, the gradient amplitude and the gradient direction in the x direction and the y direction are as follows:
P[i，j]＝(f[i，j+1]-f[i，j]+f[i+1，j+1]-f[i+1，j])/2
Q[i，j]＝(f[i，j]-f[i+1，j]+f[i，j+1]-f[i+1，j+1])/2
and then carrying out non-maximum value inhibition on the gradient amplitude, detecting and connecting edges by using a dual-threshold algorithm, separating a foreground and a background after edge detection, then separating a target object (foreground), carrying out appropriate scaling, and finishing the processing.
Preferably, an electronic face single attaching device is arranged in the electronic scale body and comprises an electronic face single push rod, a face single absorber is arranged at the movable end of the electronic face single push rod, and the face single absorber is in clearance fit with a face single attaching port arranged on a weighing disc of the electronic scale.
Preferably, an electronic surface single printer is arranged in the electronic scale body, the electronic surface single printer is connected with a recovery rotary drum arranged in the electronic scale body through a surface single rotary drum, and a recovery motor matched with the recovery rotary drum is arranged on the recovery rotary drum.
Preferably, the surface single absorber comprises a negative pressure suction cup arranged at the end part of the electric surface single push rod, and the negative pressure suction cup is connected with a negative pressure absorption motor arranged in the electronic scale body through a negative pressure suction pipe.
Preferably, a surface single-attaching-pair slide way is arranged in the electronic scale body and matched with a surface single-attaching-pair sliding plate arranged at the fixed end of the electric surface single push rod.
Preferably, the surface single attaching slide plate is provided with an adjusting motor, and the adjusting motor is matched with an adjusting rack arranged on the bottom surface of the surface single attaching slide way; the electric surface single push rod, the electric surface single printer, the recovery motor and the negative pressure adsorption motor are all electrically connected with the vision processor.
Compared with the prior art, the invention has the following beneficial effects:
(1) the visual collection structure identifies fruits and vegetables on the bearing plate through the visual collection camera, realizes accurate identification by utilizing early data collection results, greatly reduces the misjudgment and misjudgment probability, and improves the identification probability by polishing through the annular light supplement lamp; the vision processing structure carries out preprocessing on the acquired image data through the vision preprocessing module, reduces the working strength of the vision processor, improves the image recognition speed, reduces the probability of fault generation, and can accelerate the contrast speed of the acquired image and the image data stored in the vision storage module by the vision contrast processing module, thereby being convenient for intelligent and rapid identification.
(2) The telescopic visual collection rod is convenient to adjust according to the surrounding environment, and a visual collection camera is convenient to accurately shoot fruits and vegetables; the electronic surface single attaching device can carry out intelligent electronic surface single attaching action on the fruits and vegetables after identification and weighing, and is convenient for customers to settle accounts; the electric surface single push rod is driven to move in the attaching slide way through the adjusting motor, the electronic surface sheet printed on the surface single rotary drum by the negative pressure sucker is conveniently adsorbed, the adsorbed electric surface single push rod is driven to the surface single attaching opening through the adjusting motor, and intelligent surface single attaching action is carried out on the fruits and vegetables subjected to intelligent recognition weighing, so that the purposes of intelligent weighing and electronic surface single attaching are achieved, manual intervention can be greatly reduced, and weighing and electronic surface single attaching efficiency is improved.
According to the intelligent fruit and vegetable surface sticking and paying device, the visual collection and processing mechanism is used for carrying out camera shooting scanning on the fruit and vegetable and the like on the electronic scale weighing plate, intelligent identification of the fruit and vegetable and the like is carried out, and intelligent weighing is carried out through the electronic scale weighing plate, so that intelligent surface sticking and paying actions of the fruit and vegetable and the like on the electronic scale body are realized, the process is simple and rapid, the weighing efficiency of the fruit and vegetable can be greatly improved, the misjudgment probability can be effectively reduced, the weighing efficiency of the merchant in a peak period and the shopping experience of customers can be greatly improved.
Drawings
FIG. 1 is a schematic structural view of embodiment 1 of the present invention;
FIG. 2 is a schematic view showing an internal structure of an electronic scale body in embodiment 1;
FIG. 3 is a schematic view showing the connection of the dough sheet drum and the recovery drum in example 1;
fig. 4 is a schematic structural view of an electric face single push rod in embodiment 1.
In the figure, an electronic scale body 1, a vision collection telescopic rod 2, a vision collection camera 3, a vision collection shell 4, an annular light supplement lamp 5, a display screen 6, an electronic scale weighing plate 7, a single noodle sticking port 8, an electric single noodle push rod 9, an electronic single noodle printer 10, a negative pressure sucker 11, a single noodle rotary drum 12, a negative pressure sucker 13, a recovery rotary drum 14, a recovery motor 15, a single noodle sticking slide plate 16, an adjusting motor 17, a motor gear 18 and a slide plate roller 19.
Detailed Description
The present invention is further illustrated by the following specific examples, which are not intended to limit the scope of the invention.
Example 1
An intelligent electronic scale system based on visual analysis is structurally shown in figures 1-4 and comprises an electronic scale body 1, a visual acquisition processing mechanism matched with the electronic scale body 1 is arranged on the electronic scale body 1 and comprises a visual acquisition structure, the visual acquisition structure is provided with a visual processing structure connected with the electronic scale body 1, and an electronic surface single execution module connected with the visual processing structure is arranged in the electronic scale body 1. The visual collection structure is including setting up visual collection telescopic link 2 on electronic scale body 1 side, 2 tops of visual collection telescopic link are equipped with visual collection casing 4, 4 bottom surfaces of visual collection casing are tilted upward and are provided with two at least visual collection cameras 3, be equipped with on the 4 bottom surfaces of visual collection casing with visual collection camera 3 matched with annular light filling lamp 5, visual collection casing 4 is equipped with on one side of keeping away from visual collection telescopic link 2 with visual processor electric connection's display screen 6. The vision processing structure comprises a vision processor arranged in a vision acquisition shell 4, the vision processor is electrically connected with the vision acquisition camera 3 through a vision preprocessing module respectively, and the vision processor is electrically connected with an electronic surface single execution module; and a vision contrast processing module and a vision storage module which are electrically connected with the vision processor are arranged in the vision acquisition shell 4.
An electronic face single attaching device is arranged in the electronic scale body 1 and comprises an electric face single push rod 9, a face single absorber is arranged at the movable end of the electric face single push rod 9, and the face single absorber is in clearance fit with a face single attaching port 8 arranged on a weighing disc 7 of the electronic scale. An electronic surface single printer 10 is arranged in the electronic scale body 1, the electronic surface single printer 10 is connected with a recycling rotary drum 14 arranged in the electronic scale body 1 through a surface single rotary drum 12, and a recycling motor 15 matched with the recycling rotary drum 14 is arranged on the recycling rotary drum 14. The surface single absorber comprises a negative pressure sucker 11 arranged at the end part of the electric surface single push rod 9, and the negative pressure sucker 11 is connected with a negative pressure adsorption motor arranged in the electronic scale body 1 through a negative pressure sucker 13. A surface single-attaching-pair slide way is arranged in the electronic scale body 1 and is matched with a surface single-attaching-pair sliding plate 16 arranged at the fixed end of the electric surface single push rod 9. The surface single-attaching sliding plate 16 is provided with an adjusting motor 17, and the adjusting motor 17 is matched with an adjusting rack arranged on the bottom surface of the surface single-attaching slideway; the electric surface single push rod 9, the electric surface single printer 10, the recovery motor 15 and the negative pressure adsorption motor are all electrically connected with the vision processor.
When the device is used, the height of the vision acquisition shell 4 is adjusted through the vision acquisition telescopic rod 2, the device is convenient to use, fruits or vegetables and the like are placed on an electronic scale weighing disc 7, the vision acquisition camera 3 shoots and records RGB images of an object on the electronic scale weighing disc 7, the annular light supplement lamp 5 performs lighting action, the shot and recorded and acquired RGB image information is transmitted to a vision preprocessing module, the acquired RGB image information is preprocessed through the vision preprocessing module and then transmitted to a vision processor, the preprocessed RGB stored image information and the RGB image information stored in a vision storage module are compared by using a vision comparison processing module, the type, unit price and other information of the object are determined through image comparison, meanwhile, the information is transmitted back to the vision processor together with the weight information acquired by the electronic scale weighing disc 7 on the electronic scale body 1, and the information is transmitted to an electronic surface single execution module by the vision processor, the electronic bill executing module controls the electronic bill printer 10 to perform the electronic bill printing operation, and simultaneously performs information display through the display screen 6.
When the Canny algorithm is used for processing the RGB image informationFirstly, carrying out gray level processing, wherein the method comprises the following steps: after graying is finished, filtering out high-frequency noise superposed in an ideal image through image Gaussian filtering, and realizing the graying by one convolution through a two-dimensional Gaussian kernel, wherein the method comprises the following steps:
discretized Gaussian convolution kernel
k determines the dimensionality of the kernel matrix, expressed as:
after the gaussian kernel is obtained, the gaussian kernel is usually normalized.
The gradient of the image gray values can be approximated using a first order finite difference, which results in two matrices of partial derivatives of the image in the x and y directions. Commonly used gradient operators are Roberts operator, Sobel operator, Prewitt operator, etc. The operator is simple and is expressed as follows:
the mathematical expressions of the first-order partial derivative matrix, the gradient amplitude and the gradient direction in the x direction and the y direction are as follows:
p [ i, j ] (f [ i, j +1] -f [ i, j ] + f [ i +1, j +1] — f [ i +1, j ])/2
Q [ i, j ] (f [ i, j ] -f [ i +1, j ] + f [ i, j +1] — f [ i +1, j +1])/2
And then carrying out non-maximum value inhibition on the gradient amplitude, detecting and connecting edges by using a dual-threshold algorithm, separating a foreground and a background after edge detection, then separating a target object (foreground), carrying out appropriate scaling, and finishing the processing.
The visual processor controls the recovery motor 15 to start, the recovery motor 15 drives the recovery drum 14 to rotate through a synchronous belt, so that the electronic surface single-side single-back film is driven to rotate through the electronic surface single-side single-back film, the recovery motor 15 is started for a period of time, the printed electronic surface single-side moves to the top end of the negative pressure suction cup 11, then the recovery motor 15 stops working, meanwhile, the electronic surface single push rod 9 extends to enable the negative pressure suction cup 11 to move to the lower side of the electronic surface single-side, the negative pressure suction motor works, the negative pressure suction motor carries out negative pressure suction action on the negative pressure suction cup 11 through the negative pressure suction pipe 13, so that the electronic surface single-side on the surface single-back film is sucked on the negative pressure suction cup 11, the electric surface single push rod 9 contracts, then the adjusting motor 17 is started, the adjusting motor 17 drives the motor gear 18 to be meshed with the adjusting rack, and the roller sliding plates 19 at the two ends of the surface single-side sliding plate 16 move along the surface single-side sliding rail, the driving surface single-attaching sliding plate 16 moves to the position below the surface single-attaching port 8, the electric surface single-push rod 9 extends, the negative pressure suction disc 11 attaches the electronic surface single to the object through the surface single-attaching port 8, intelligent identification, intelligent weighing and intelligent surface single-attaching actions on the object are completed, after the attaching is completed, the electric surface single-push rod 9 contracts, then the adjusting motor 17 is started, the driving surface single-push rod 9 is driven to move to the initial position through the surface single-attaching sliding plate 16, and the intelligent surface single-attaching actions are convenient to be carried out again.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, but rather as the following description is intended to cover all modifications, equivalents and improvements falling within the spirit and scope of the present invention.
Claims (8)
1. The utility model provides an intelligent electronic scale system based on visual analysis, includes the electronic scale body, its characterized in that, be equipped with on the electronic scale body with electronic scale body matched with vision acquisition processing mechanism, vision acquisition processing mechanism includes vision acquisition structure, is equipped with the vision processing structure who is connected with the electronic scale body on the vision acquisition structure, this internal electron face that is connected with vision processing structure list execution module that is equipped with of electronic scale.
2. The intelligent electronic scale system based on visual analysis according to claim 1, wherein the visual collection structure comprises a visual collection telescopic rod arranged on the side surface of the electronic scale body, a visual collection shell is arranged at the top end of the visual collection telescopic rod, at least two visual collection cameras are obliquely arranged on the bottom surface of the visual collection shell, an annular light supplement lamp matched with the visual collection cameras is arranged on the bottom surface of the visual collection shell, and a display screen electrically connected with the visual processor is arranged on the side surface of the visual collection shell, which is far away from the visual collection telescopic rod.
3. The intelligent electronic scale system based on visual analysis according to claim 2, wherein the visual processing structure comprises a visual processor disposed in a visual collection housing, the visual processor is electrically connected with the visual collection camera through a visual preprocessing module, and the visual processor is electrically connected with the electronic surface single execution module; a vision contrast processing module and a vision storage module which are electrically connected with the vision processor are arranged in the vision acquisition shell; the visual comparison processing module processes RGB image information acquired by the visual acquisition camera by using a Canny algorithm, and performs graying processing firstly, and the method comprises the following steps: after graying is finished, filtering out high-frequency noise superposed in an ideal image through image Gaussian filtering, and realizing the graying by one convolution through a two-dimensional Gaussian kernel, wherein the method comprises the following steps:
discretized Gaussian convolution kernel
k determines the dimensionality of the kernel matrix, expressed as:
after the gaussian kernel is obtained, the gaussian kernel is usually normalized.
The gradient of the image gray values can be approximated using a first order finite difference, which results in two matrices of partial derivatives of the image in the x and y directions. Commonly used gradient operators are Roberts operator, Sobel operator, Prewitt operator, etc. The operator is simple and is expressed as follows:
the mathematical expressions of the first-order partial derivative matrix, the gradient amplitude and the gradient direction in the x direction and the y direction are as follows:
P[i，j]＝(f[i，j+1]-f[i，j]+f[i+1，j+1]-f[i+1，j])/2
Q[i，j]＝(f[i，j]-f[i+1，j]+f[i，j+1]-f[i+1，j+1])/2
and then carrying out non-maximum value inhibition on the gradient amplitude, detecting and connecting edges by using a dual-threshold algorithm, separating a foreground and a background after edge detection, then separating a target object (foreground), carrying out appropriate scaling, and finishing the processing.
4. The intelligent electronic scale system based on visual analysis according to claim 3, wherein an electronic surface single attaching device is arranged in the electronic scale body, the electronic surface single attaching device comprises an electronic surface single push rod, a surface single absorber is arranged at the movable end of the electronic surface single push rod, and the surface single absorber is in clearance fit with a surface single attaching port arranged on a weighing disc of the electronic scale.
5. The intelligent electronic scale system based on visual analysis according to claim 4, wherein an electronic surface single printer is arranged in the electronic scale body, the electronic surface single printer is connected with a recovery drum arranged in the electronic scale body through a surface single drum, and the recovery drum is provided with a recovery motor matched with the recovery drum.
6. The intelligent electronic scale system based on visual analysis according to claim 5, wherein the surface single sucker comprises a negative pressure sucker arranged at the end of the electric surface single push rod, and the negative pressure sucker is connected with a negative pressure sucking motor arranged in the electronic scale body through the negative pressure sucker.
7. The intelligent electronic scale system based on visual analysis according to claim 6, wherein a single-face-attaching slide way is arranged in the electronic scale body, and the single-face-attaching slide way is matched with a single-face-attaching slide plate arranged at the fixed end of the electric single-face push rod.
8. The intelligent electronic scale system based on visual analysis according to claim 7, wherein the single-sided attached slide plate is provided with an adjusting motor, and the adjusting motor is matched with an adjusting rack arranged on the bottom surface of the single-sided attached slide way; the electric surface single push rod, the electric surface single printer, the recovery motor and the negative pressure adsorption motor are all electrically connected with the vision processor.
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2021
- 2021-10-26 CN CN202111251322.XA patent/CN113984169A/en active Pending
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