CN113916895A - Method and device for detecting and processing bar cheese lack - Google Patents

Method and device for detecting and processing bar cheese lack Download PDF

Info

Publication number
CN113916895A
CN113916895A CN202111269367.XA CN202111269367A CN113916895A CN 113916895 A CN113916895 A CN 113916895A CN 202111269367 A CN202111269367 A CN 202111269367A CN 113916895 A CN113916895 A CN 113916895A
Authority
CN
China
Prior art keywords
cheese
wrapping material
industrial
bar
shearing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111269367.XA
Other languages
Chinese (zh)
Other versions
CN113916895B (en
Inventor
毕春光
席宁
金雅娟
王华龙
李超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Liaoning Petrocchemical College
Liaoning Chunguang Pharmaceutical Equipment Corp ltd
Original Assignee
Liaoning Petrocchemical College
Liaoning Chunguang Pharmaceutical Equipment Corp ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Liaoning Petrocchemical College, Liaoning Chunguang Pharmaceutical Equipment Corp ltd filed Critical Liaoning Petrocchemical College
Priority to CN202111269367.XA priority Critical patent/CN113916895B/en
Publication of CN113916895A publication Critical patent/CN113916895A/en
Application granted granted Critical
Publication of CN113916895B publication Critical patent/CN113916895B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8806Specially adapted optical and illumination features
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8806Specially adapted optical and illumination features
    • G01N2021/8841Illumination and detection on two sides of object
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8883Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges involving the calculation of gauges, generating models
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/04Batch operation; multisample devices
    • G01N2201/0469One cell, sequential, e.g. successive samples
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/04Batch operation; multisample devices
    • G01N2201/0484Computer controlled

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Treatment Of Fiber Materials (AREA)
  • Dairy Products (AREA)

Abstract

The bar cheese defective detection processing method and device can identify and remove the cheese wrapping material with the defective bar handle or the defective cheese, improve the qualification rate of products leaving factories, provide guarantee for product quality and enterprise credit, and avoid economic loss brought to production enterprises due to the product form quality problem. Step 1: constructing and debugging a bar cheese incomplete detection processing device, and step 2: image acquisition, step 3: constructing a standard template, and step 4: and analyzing, processing, comparing and rejecting the images. The device comprises a rack, an industrial personal computer and a shearing part conveying device are arranged on the rack, the shearing device is arranged at the discharge end of the shearing part conveying device on the rack, parallel backlight sources and industrial cameras are arranged on the two sides of the shearing part conveying device corresponding to a cheese package material linear conveying section on the rack, and a removing device is arranged at a discharge port corresponding to the shearing device on the rack.

Description

Method and device for detecting and processing bar cheese lack
Technical Field
The invention relates to a bar cheese incomplete detection processing method and device, and belongs to the technical field of food packaging.
Background
The bar cheese is a food with a handheld bar handle added on cheese, and the mode of taking the handheld bar handle to eat the cheese is cleaner and more sanitary than the traditional mode of directly taking the cheese to eat the cheese, so the bar cheese is popular with consumers. In the packaging process, because equipment failure or the quality problem of the handheld bar handle, the phenomenon that the handheld bar handle of cheese in a cheese packaging material is incomplete often occurs, after the products flow into the market, a consumer purchases the products with the incomplete handheld bar handle, the inconvenience of holding is caused, the poor experience feeling and psychological difference are caused when the consumer purchases the products with the incomplete cheese, the product quality and the enterprise reputation are seriously influenced, and therefore the economic loss is brought to a production enterprise due to the quality problem.
Disclosure of Invention
The invention aims to solve the technical problems and provides a bar cheese incomplete detection processing method and device, which can identify and remove cheese packing materials with defective hand-held bar handles or defective cheeses, improve the qualification rate of delivered products, provide guarantee for product quality and enterprise credit and avoid economic loss brought to production enterprises due to product form quality problems.
The solution of the invention is:
a bar cheese incomplete detection processing method is characterized by comprising the following steps:
step 1: constructing bar cheese incomplete detection processing device and debugging
A rejecting device is arranged at a discharge port of a shearing device on a rack of a shearing part conveying device, parallel backlight sources and industrial cameras are arranged on two sides of a cheese wrapping material linear conveying section of the shearing part conveying device on the rack, so that the industrial cameras and the parallel backlight sources respectively correspond to the front and the back of the cheese wrapping material and are opposite to each other, a signal output end of each industrial camera is connected with a signal input end of an industrial personal computer, and a control signal input end of the rejecting device is connected with a control signal output end corresponding to the industrial personal computer; the shooting tempo of the industrial camera is consistent with the transmission tempo of the cheese wrapping material, and the industrial camera can shoot a clear image of the cheese wrapping material after the cheese wrapping material is irradiated by the parallel backlight source;
step 2: image acquisition
Selecting a cheese wrapping material of which the first section is artificially detected to be a qualified product, installing the cheese wrapping material on a shearing part conveying device, intermittently conveying the cheese wrapping material installed on the shearing part conveying device through the control of an industrial personal computer, starting to snapshot partial images of the cheese wrapping material when the first section of the cheese wrapping material is conveyed to the position of an industrial camera, and transmitting the snapshot partial images of the cheese wrapping material to the industrial personal computer in a digital signal mode by the industrial camera;
and step 3: building a Standard template
The industrial personal computer firstly receives the image of the qualified cheese wrapping material, obtains the gray values corresponding to the cheese part in the qualified cheese product, namely the number n1 of pixel points corresponding to the standard gray value I and the standard gray value I, and the gray values corresponding to the handheld bar handle part, namely the number n2 of pixel points corresponding to the standard gray value II and the standard gray value II after analysis and processing, and stores the gray values as a standard template;
and 4, step 4: image analysis processing, comparison and rejection
The method comprises the steps that qualified cheese products are cut off one by controlling a shearing device through an industrial personal computer, the industrial personal computer analyzes and processes received images of subsequent cheese wrapping products to obtain the number n1 'of pixel points with the gray value equal to a standard gray value I and the number n 2' of pixel points with the gray value equal to a standard gray value II, when n1 '/n 1 or n 1'/n 1 is smaller than m, the industrial personal computer judges that the cheese products are unqualified and sends signals to a removing device according to a delay beat, so that the unqualified products and the cheese finished products with the unqualified grade at the same beat are directly removed when passing through the removing device, and m is a similarity value and takes a value of 0.8-1.
Further, the standard gray value ranges from 70 to 90, and the standard gray value ranges from 100 to 130.
Further, the image analysis processing steps in step 3 and step 4 are as follows: firstly, extracting a detection area through image gray based on an edge segmentation method, then determining an edge by using a Canny algorithm, and finally fitting the detected edge to an image by using a least square method.
Further, the wavelength of the parallel backlight source is 850 nm-2000 nm.
Further, the snapped cheese wrapping material partial image comprises 2-3 cheese wrapping material monomers.
Furthermore, the delay beat is the required beat quantity when the unqualified product passes through the industrial camera snapping position and reaches the rejecting device.
Furthermore, in step 3, the industrial camera collects a plurality of cheese package material images according to the frame number in each intermittent delivery beat, the average value of the sum of the pixel numbers corresponding to the cheeses in the collected cheese package material images is compared with the number of the pixel points corresponding to the cheeses in the standard template, the average value of the sum of the pixel numbers corresponding to the handheld bar handle in the collected cheese package material images is compared with the number of the pixel points corresponding to the handheld bar handle in the standard template, and the contrast accuracy is improved.
Further, a bar cheese incomplete detection processing device comprises a rack, an industrial personal computer and a shearing part conveying device are installed on the rack, a shearing device is installed at the discharging end of the shearing part conveying device on the rack, the control signal input ends of a power source of the shearing part conveying device and a power source of the shearing device are connected with the corresponding control signal output end of the industrial personal computer, a parallel backlight source and an industrial camera are installed on the rack and located on two sides of a linear conveying section of the shearing part conveying device corresponding to a cheese wrapping material, the industrial camera and the parallel backlight source respectively correspond to the front surface and the back surface of the cheese wrapping material and are opposite to each other, a removing device is installed on the rack and corresponds to a discharging port of the shearing device, the removing device comprises a material guide chute installed on the rack and corresponds to the discharging port of the shearing device, a notch is formed in the bottom surface of the material guide chute, a turning plate capable of rotating up and down is installed on the bottom surface of the material guide chute and corresponds to the notch, and a driving mechanism for controlling the turning plate to rotate is arranged on the rack, and a control signal input end of the driving mechanism is connected with a control signal output end corresponding to the industrial personal computer.
Furthermore, a support frame is arranged on the machine frame, the support frame is composed of a longitudinal support frame which is arranged on the machine frame in a front-back adjusting mode, a transverse support frame which is arranged on the longitudinal support frame in a left-right adjusting mode, and a vertical support frame which is arranged on the transverse support frame in an up-down adjusting mode, and the industrial camera is arranged on the vertical support frame.
Furthermore, be located between parallel backlight and the industrial camera and correspond cheese package material upper edge fixed mounting L type backup pad in the frame, L type backup pad extends along direction of transfer on one side, the another side is installed in the frame and can be adjusted from beginning to end, and L type backup pad side direction supports cheese package material, improves cheese package material transfer in-process stability, the industrial camera of being convenient for takes a candid photograph.
The invention has the beneficial effects that:
the cutting part conveying device continuously conveys the packaged cheese wrapping material from front to back in an intermittent motion mode, the contours of cheese and a handheld bar handle in the cheese wrapping material are displayed under the irradiation of a parallel backlight source, an industrial camera captures the displayed contours of the cheese and the handheld bar handle and conveys the captured contours to an industrial personal computer for comparison with a pre-collected standard template, whether the detected handheld bar handle is qualified or not is further judged, and when the cheese and the handheld bar handle are qualified, the cutting device cuts off and guides out the qualified cheese wrapping material; when cheese or handheld bar handle are unqualified, shearing mechanism cuts off unqualified cheese package material, and industrial computer control removing devices rejects unqualified cheese package material, simple structure, convenient operation, degree of automation is high, improves the qualification rate of the product that dispatches from the factory, for product quality and enterprise reputation provide the guarantee, avoid bringing economic loss for manufacturing enterprise because of product form quality problem.
Drawings
FIG. 1 is a schematic structural diagram I of an embodiment of the present invention;
FIG. 2 is a schematic structural diagram II of an embodiment of the present invention;
FIG. 3 is a schematic structural view of the support stand of FIG. 1;
FIG. 4 is a control schematic of the present invention;
FIG. 5 is a schematic structural view of a standard template or a qualified cheese wrapper for a cheese wrapper in an embodiment of the present invention;
FIG. 6 is a schematic structural view of an off-grade cheese wrapper in an embodiment of the present invention;
in the figure: the device comprises a machine frame 1, an industrial personal computer 2, a shearing part 3, a shearing device 4, a parallel backlight source 5, a support frame 6, an industrial high-speed camera 7, an 8-L-shaped support plate 9, a material guide chute 10, a turning plate 11, an electric push rod 11, a longitudinal support frame 601, a transverse support frame 602 and a vertical support frame 603.
Detailed Description
As shown in figures 1-6, a bar cheese incomplete detection processing device comprises a frame 1, an industrial personal computer 2 and a cutting part conveying device 3 are installed on the frame 1, a cutting device 4 is installed on the frame 1 at the discharge end of the cutting part conveying device 3, parallel backlights 5 and support frames 6 are installed on the frame 1 at two sides of the cutting part conveying device 3 corresponding to a cheese wrapping material linear conveying section and are opposite to each other, the wavelength of the parallel backlights is 850 nm-2000 nm, the support frame 6 is composed of a longitudinal support frame 601 installed on the frame 1 in a front-back adjusting mode, a transverse support frame 602 installed on the longitudinal support frame 601 in a left-right adjusting mode, and a vertical support frame 603 installed on the transverse support frame 602 in a vertical adjusting mode, an industrial camera 7 is installed on the vertical support frame 603, the industrial camera 7 adopts an Ethernet port in a transmission mode, and the hardware environment is Windows 7(64) + Intel (R) Core (TM) i3-2120 CPU 3.3GHz +4 RAM industrial phase Ethernet port Performance requirements of the machine: the sensor type is 2/3", the global shutter is CMOS; resolution was 2448 × 2048; the pixel size is 3.45 μm × 3.45 μm; the frame rate is 11.7fps @2448 × 2048YUV, 23.5fps @2448 × 2048Bayer 8; the dynamic range is >60 dB; signal to noise ratio >40 dB; the gain range is 0-17 dB; the exposure time is in the range of 20 mus-10 sec; the shutter mode is a global shutter and supports automatic exposure, manual exposure and one-key exposure modes; the data interface is a Gigabit Ethernet; digital I/O: the optical coupler is isolated and is provided with an input path 1, an output path 1 and a bidirectional configurable non-isolated I/O path 1; the buffer capacity is 128MB frame buffer; the data format is Mono8/10/12, RGB8, Bayer RG 8/10/10p/12/12p, YUV 4228 UYVY and YUV 4228, an L-shaped support plate 8 is fixedly arranged on the rack 1 between the parallel backlight source 5 and the industrial camera 7 and corresponding to the upper edge of the cheese wrapping material, one edge of the L-shaped support plate 8 extends along the conveying direction, the other edge is adjusted and arranged on the rack 1 front and back, a rejecting device is arranged on the rack 1 corresponding to a discharging opening of the shearing device 4, the rejecting device comprises a material guiding chute 9 arranged on the rack 1 corresponding to the discharging opening of the shearing device 4, a notch is arranged on the bottom surface of the material guiding chute 9, a turning plate 10 capable of rotating up and down is arranged on the bottom surface of the material guiding chute 9 corresponding to the notch, an electric push rod 11 is arranged between the rack 1 and the bottom surface of the turning plate 10, the signal output end of the industrial camera 7 is connected with the signal input end of the industrial personal computer 2, and the control signal input end of the power source of the shearing part conveying device 3, the power source control signal input end of the shearing device 4 and the control signal input end of the electric push rod 11 are connected with the control signal output end corresponding to the industrial personal computer 2.
A bar cheese incomplete detection processing method comprises the following steps:
step 1: constructing the bar cheese incomplete detection processing device and debugging
Debugging an industrial personal computer 2 to control the snapshot beat of an industrial camera 7 to be consistent with the transmission beat of the cheese packaging material, adjusting the horizontal, vertical and height of a support frame 6 to enable the industrial camera and a parallel backlight source to be opposite to each other, and enabling the industrial camera 7 to shoot clear images of 2 cheese packaging material monomers after the parallel backlight source 5 irradiates the cheese packaging material;
step 2: image acquisition
Selecting a cheese wrapping material of which the first section is artificially detected to be a qualified product, installing the cheese wrapping material on a shearing part conveying device 3, controlling the cheese wrapping material installed on the shearing part conveying device 3 to be intermittently conveyed through an industrial personal computer 2, starting to snapshot 2 cheese wrapping material monomer images when the first section of the cheese wrapping material is conveyed to the position of an industrial camera 7, and transmitting the snapshot cheese wrapping material part image to the industrial personal computer 2 in a digital signal mode through the industrial personal computer 7;
and step 3: building a Standard template
The industrial personal computer 2 firstly receives the image of the qualified cheese packaging material, extracts a detection area through image gray scale based on an edge segmentation method, determines an edge by using a Canny algorithm, finally fits the detected edge to the image by adopting a least square method to obtain gray values corresponding to a cheese part in the qualified cheese product, namely a pixel number n1 corresponding to a standard gray value I and a standard gray value I, and gray values corresponding to a handheld rod handle part, namely a pixel number n2 corresponding to a standard gray value II and a standard gray value II, stores the gray values into a standard template, the standard template is a first value range 75 of the standard gray value, the standard gray value II value range 110 of the gray value II, the industrial camera 7 collects 10 cheese packaging material images according to the frame number in each intermittent transmission beat, compares the average value of the pixel number sum corresponding to the cheese in the collected 10 cheese packaging material images with the pixel number corresponding to the cheese in the standard template, Comparing the average value of the sum of the pixel points corresponding to the handheld bar handle in the collected 10 cheese package material images with the pixel point number corresponding to the handheld bar handle in the standard template;
and 4, step 4: the industrial personal computer 2 controls the shearing device 4 to cut off the passing qualified cheese products one by one, the industrial personal computer 2 analyzes and processes the received images of the subsequent cheese packaging product to obtain the number of pixel points n1 'with the gray value equal to the standard gray value one and the number of pixel points n 2' with the gray value equal to the standard gray value two, when n1 '/n 1 or n 1'/n 1 is smaller than m, the industrial personal computer 2 judges that the cheese product is unqualified and sends a signal to the removing device according to a delay beat, wherein m is the similarity value and the value is 0.9, the delay beat is the number of beats required when the unqualified product reaches the removing device through the industrial camera 7 at the capturing position, and the unqualified product and the cheese packaging product with the unqualified grade in the same beat are directly removed through the removing device.
The above description is only exemplary of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A bar cheese incomplete detection processing method is characterized by comprising the following steps:
step 1: constructing bar cheese incomplete detection processing device and debugging
A rejecting device is arranged at a discharge port of a shearing device on a rack of a shearing part conveying device, parallel backlight sources and industrial cameras are arranged on two sides of a cheese wrapping material linear conveying section of the shearing part conveying device on the rack, so that the industrial cameras and the parallel backlight sources respectively correspond to the front and the back of the cheese wrapping material and are opposite to each other, a signal output end of each industrial camera is connected with a signal input end of an industrial personal computer, and a control signal input end of the rejecting device is connected with a control signal output end corresponding to the industrial personal computer; the shooting tempo of the industrial camera is consistent with the transmission tempo of the cheese wrapping material, and the industrial camera can shoot a clear image of the cheese wrapping material after the cheese wrapping material is irradiated by the parallel backlight source;
step 2: image acquisition
Selecting a cheese wrapping material of which the first section is artificially detected to be a qualified product, installing the cheese wrapping material on a shearing part conveying device, intermittently conveying the cheese wrapping material installed on the shearing part conveying device through the control of an industrial personal computer, starting to snapshot partial images of the cheese wrapping material when the first section of the cheese wrapping material is conveyed to the position of an industrial camera, and transmitting the snapshot partial images of the cheese wrapping material to the industrial personal computer in a digital signal mode by the industrial camera;
and step 3: building a Standard template
The industrial personal computer firstly receives the image of the qualified cheese wrapping material, obtains the gray values corresponding to the cheese part in the qualified cheese product, namely the number n1 of pixel points corresponding to the standard gray value I and the standard gray value I, and the gray values corresponding to the handheld bar handle part, namely the number n2 of pixel points corresponding to the standard gray value II and the standard gray value II after analysis and processing, and stores the gray values as a standard template;
and 4, step 4: image analysis processing, comparison and rejection
The method comprises the steps that qualified cheese products are cut off one by controlling a shearing device through an industrial personal computer, the industrial personal computer analyzes and processes received images of subsequent cheese wrapping products to obtain the number n1 'of pixel points with the gray value equal to a standard gray value I and the number n 2' of pixel points with the gray value equal to a standard gray value II, when n1 '/n 1 or n 1'/n 1 is smaller than m, the industrial personal computer judges that the cheese products are unqualified and sends signals to a removing device according to a delay beat, so that the unqualified products and the cheese finished products with the unqualified grade at the same beat are directly removed when passing through the removing device, and m is a similarity value and takes a value of 0.8-1.
2. The bar cheese disability detection processing method according to claim 1, characterized in that: the first value range of the standard gray scale value is 70-90, and the second value range of the standard gray scale value is 100-130.
3. The bar cheese disability detection processing method according to claim 1, characterized in that: the image analysis processing steps in the step 3 and the step 4 are as follows: firstly, extracting a detection area through image gray based on an edge segmentation method, then determining an edge by using a Canny algorithm, and finally fitting the detected edge to an image by using a least square method.
4. The bar cheese disability detection processing method according to claim 1, characterized in that: the wavelength of the parallel backlight source is 850 nm-2000 nm.
5. The bar cheese disability detection processing method according to claim 1, characterized in that: the snapped cheese wrapping material partial image comprises 2-3 cheese wrapping material monomers.
6. The bar cheese disability detection processing method according to claim 1, characterized in that: and the delay beats are the number of beats required when the unqualified product passes through the snapping position of the industrial camera and reaches the rejecting device.
7. The bar cheese disability detection processing method according to claim 1, characterized in that: and 3, collecting a plurality of cheese package material images by the industrial camera in each intermittent transmission beat according to the frame number, comparing the average value of the sum of the pixel numbers corresponding to the cheeses in the collected cheese package material images with the number of the pixel points corresponding to the cheeses in the standard template, and comparing the average value of the sum of the pixel numbers corresponding to the handheld bar handles in the collected cheese package material images with the number of the pixel points corresponding to the handheld bar handles in the standard template.
8. The utility model provides a bar cheese lacks incomplete detection processing apparatus, includes the frame, at frame installation industrial computer and shearing part conveyer, lies in shearing part conveyer discharge end installation shearing mechanism in the frame, the control signal input of shearing part conveyer's power supply and shearing mechanism's power supply is connected its characterized in that with the corresponding control signal output of industrial computer: the machine frame is provided with parallel backlight sources and industrial cameras, the two sides of a cheese wrapping material linear conveying section corresponding to a shearing part conveying device are provided with the parallel backlight sources, the industrial cameras and the parallel backlight sources respectively correspond to the front side and the back side of a cheese wrapping material and are opposite to each other, a removing device is arranged at a material outlet of the shearing device corresponding to the machine frame and comprises a material guide chute arranged at the position of the material outlet of the shearing device corresponding to the machine frame, an opening is formed in the bottom surface of the material guide chute, a turning plate capable of rotating up and down is arranged at the position of the opening corresponding to the bottom surface of the material guide chute, a driving mechanism for controlling the turning plate to rotate is arranged on the machine frame, and a control signal input end of the driving mechanism is connected with a control signal output end corresponding to the industrial personal computer.
9. The bar cheese disability detection processing apparatus according to claim 8, wherein: the industrial camera is characterized in that a support frame is arranged on a rack, the support frame is composed of a longitudinal support frame which is arranged on the rack in a front-back adjusting mode, a transverse support frame which is arranged on the longitudinal support frame in a left-right adjusting mode, and a vertical support frame which is arranged on the transverse support frame in an up-down adjusting mode, and the industrial camera is arranged on the vertical support frame.
10. The bar cheese disability detection processing apparatus according to claim 8, wherein: an L-shaped supporting plate is fixedly arranged on the machine frame and is positioned between the parallel backlight source and the industrial camera and corresponds to the upper edge of the cheese wrapping material, one side of the L-shaped supporting plate extends along the conveying direction, and the other side of the L-shaped supporting plate is arranged on the machine frame and can be adjusted forwards and backwards.
CN202111269367.XA 2021-10-29 2021-10-29 Method and device for detecting and processing defective bars and cheeses Active CN113916895B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111269367.XA CN113916895B (en) 2021-10-29 2021-10-29 Method and device for detecting and processing defective bars and cheeses

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111269367.XA CN113916895B (en) 2021-10-29 2021-10-29 Method and device for detecting and processing defective bars and cheeses

Publications (2)

Publication Number Publication Date
CN113916895A true CN113916895A (en) 2022-01-11
CN113916895B CN113916895B (en) 2024-06-04

Family

ID=79243360

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111269367.XA Active CN113916895B (en) 2021-10-29 2021-10-29 Method and device for detecting and processing defective bars and cheeses

Country Status (1)

Country Link
CN (1) CN113916895B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140147015A1 (en) * 2012-11-26 2014-05-29 Frito-Lay North America, Inc. Method for Scoring and Controlling Quality of Food Products in a Dynamic Production Line
CN105067616A (en) * 2015-07-15 2015-11-18 江苏大学 Imaging detection method for biogenic amine in food
JP2019039674A (en) * 2017-08-22 2019-03-14 株式会社明治 Method for determining surface condition of packaged food in which cheese-like solid food is packaged by packaging material, method for producing packaged food, and apparatus for determining surface condition of packaged food
CN112218729A (en) * 2018-06-11 2021-01-12 克里奥瓦克公司 Process and system for built-in inspection of product streams for detecting foreign objects
JP2021042993A (en) * 2019-09-06 2021-03-18 清水建設株式会社 Visual inspection system and visual inspection method
JP2021042994A (en) * 2019-09-06 2021-03-18 清水建設株式会社 Visual inspection system and visual inspection method
CN212845105U (en) * 2020-08-14 2021-03-30 内蒙古蒙信食品有限责任公司 X-ray detector

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140147015A1 (en) * 2012-11-26 2014-05-29 Frito-Lay North America, Inc. Method for Scoring and Controlling Quality of Food Products in a Dynamic Production Line
CN104871175A (en) * 2012-11-26 2015-08-26 福瑞托-雷北美有限公司 Method for scoring and controlling quality of food products in a dynamic production line
CN105067616A (en) * 2015-07-15 2015-11-18 江苏大学 Imaging detection method for biogenic amine in food
JP2019039674A (en) * 2017-08-22 2019-03-14 株式会社明治 Method for determining surface condition of packaged food in which cheese-like solid food is packaged by packaging material, method for producing packaged food, and apparatus for determining surface condition of packaged food
CN112218729A (en) * 2018-06-11 2021-01-12 克里奥瓦克公司 Process and system for built-in inspection of product streams for detecting foreign objects
JP2021042993A (en) * 2019-09-06 2021-03-18 清水建設株式会社 Visual inspection system and visual inspection method
JP2021042994A (en) * 2019-09-06 2021-03-18 清水建設株式会社 Visual inspection system and visual inspection method
CN212845105U (en) * 2020-08-14 2021-03-30 内蒙古蒙信食品有限责任公司 X-ray detector

Also Published As

Publication number Publication date
CN113916895B (en) 2024-06-04

Similar Documents

Publication Publication Date Title
WO2022052480A1 (en) Method and system for detecting and processing defect in lithium battery electrode plate in real time
CN201086448Y (en) Printing carton quality detecting machine
CN2859539Y (en) Surface quality on-line checkout device for coin completed product
CN102275656B (en) On-line visual pack absence detection device and detection method for cigarette pack cartoning machine
CN101627832B (en) On-line automatic tobacco recognition and classification system
CN108613987A (en) Cigarette appearance real-time online detects device for eliminating and method
CN109692820A (en) Optical fiber metalwork surface defect on-line measuring device and method based on image procossing
CN103323457A (en) Fruit appearance defect real-time on-line detection system and detection method
CN108333188A (en) A kind of online apparent visual detection device of battery pole piece
CN215449031U (en) Laminate polymer battery surface defect check out test set
CN102514767A (en) Automatic detection device based on machine vision for defects of instant noodle sauce packets and method
CN113977669B (en) Automatic machine vision sheet defect eliminating method
CN208758086U (en) A kind of mark after-vision detection device with removing function
CN101807061A (en) Vision detection control system and method for integrated circuit tendon-cut system
WO2013106904A1 (en) Automatic online defective elements-checking-and-removing device for flexographic printing presses
WO2023134286A1 (en) Online automatic quality testing and classification method for cathode copper
CN105478372B (en) Electronic component on-line checking forms distribution equipment
CN208912567U (en) A kind of cystosepiment detection device
CN113916895A (en) Method and device for detecting and processing bar cheese lack
CN107796823B (en) Cigarette packaging machine label paper appearance quality detecting system
CN109877061A (en) A kind of product testing sorting control system and method
CN110953986A (en) Non-contact type automatic plate size measuring equipment
CN108931529A (en) A kind of yield forecast method of continuous production weblike material
CA2783577A1 (en) Automatic online defective elements-checking-and-removing device for flexographic printing presses
CN115018722A (en) Method for predicting instantaneous leaf yield of air separator based on steady-state duty ratio of air separation process

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant