CN113916895B - Method and device for detecting and processing defective bars and cheeses - Google Patents
Method and device for detecting and processing defective bars and cheeses Download PDFInfo
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- CN113916895B CN113916895B CN202111269367.XA CN202111269367A CN113916895B CN 113916895 B CN113916895 B CN 113916895B CN 202111269367 A CN202111269367 A CN 202111269367A CN 113916895 B CN113916895 B CN 113916895B
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- 235000013351 cheese Nutrition 0.000 title claims abstract description 130
- 238000012545 processing Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims description 14
- 240000002129 Malva sylvestris Species 0.000 title abstract description 6
- 235000006770 Malva sylvestris Nutrition 0.000 title abstract description 6
- 230000002950 deficient Effects 0.000 title description 6
- 238000010008 shearing Methods 0.000 claims abstract description 46
- 239000000463 material Substances 0.000 claims abstract description 42
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000003672 processing method Methods 0.000 claims abstract description 13
- 239000005022 packaging material Substances 0.000 claims description 26
- 230000007547 defect Effects 0.000 claims description 17
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000010191 image analysis Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 239000000178 monomer Substances 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000012797 qualification Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 4
- 239000011248 coating agent Substances 0.000 description 2
- 238000000576 coating method Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012856 packing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000012858 packaging process Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
- G01N2021/8841—Illumination and detection on two sides of object
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
- G01N2021/8883—Scan 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan 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
- G01N2021/8887—Scan 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/04—Batch operation; multisample devices
- G01N2201/0469—One cell, sequential, e.g. successive samples
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/04—Batch operation; multisample devices
- G01N2201/0484—Computer controlled
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- General Health & Medical Sciences (AREA)
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Abstract
The bar cheese missing and remaining detection processing method and device can identify and reject cheese wrapping materials with missing and remaining handheld bar handles or missing and remaining cheeses, improve the qualification rate of outgoing products, provide guarantee for product quality and enterprise reputation, and avoid economic loss to production enterprises due to the problem of product form quality. Step 1: constructing a bar cheese residue lack detection processing device and debugging, wherein the step 2 is as follows: image acquisition, namely, step 3: building a standard template, and step 4: and (5) analyzing, processing, comparing and rejecting the images. The device comprises a frame, an industrial personal computer and a shearing part conveying device are arranged on the frame, the shearing device is arranged at the discharge end of the shearing part conveying device on the frame, parallel backlights and industrial cameras are arranged on the frame at two sides of the straight line conveying section of the cheese wrapping material corresponding to the shearing part conveying device, and a rejecting device is arranged at the discharge port of the frame corresponding to the shearing device.
Description
Technical Field
The invention relates to a bar cheese defect detection processing method and device, and belongs to the technical field of food packaging.
Background
Bar cheese is a food with a hand-held bar handle added on the cheese, and the cheese is eaten by taking the hand-held bar handle more cleanly and more hygienically than the traditional way of directly taking the cheese, so the bar cheese is popular with consumers. In the packaging process, due to equipment failure or quality problems of the handheld bar handle, the phenomenon of defective and incomplete cheese handheld bar handles arranged in cheese packaging materials frequently occurs, after the products flow into the market, consumers purchase defective and incomplete cheese handheld bar handles to cause inconvenient holding, consumers purchase defective and incomplete cheese products to cause poor experience feeling and psychological fall, product quality and enterprise reputation are seriously influenced, and therefore, economic losses are brought to production enterprises due to the quality problems.
Disclosure of Invention
The invention aims to solve the technical problems, and provides a bar cheese missing and remaining detection processing method and device, which can identify and remove cheese wrapping materials with missing and remaining handheld bar handles or missing and remaining cheeses, improve the qualification rate of outgoing products, provide guarantee for product quality and enterprise reputation, and avoid economic loss to production enterprises due to the problem of product form quality.
The solution of the invention is as follows:
The bar cheese defect detection processing method is characterized by comprising the following steps:
Step 1: constructing a bar cheese defect detection processing device and debugging
A frame of the shearing part conveying device is provided with a rejecting device at a discharge port of the shearing device, parallel backlights and industrial cameras are arranged on the frame and are positioned on two sides of the frame, corresponding to the linear conveying section of the cheese wrapping material, of the shearing part conveying device, so that the industrial cameras and the parallel backlights respectively correspond to the front surface and the back surface of the cheese wrapping material and are opposite to each other, a signal output end of the industrial cameras is connected with a signal input end of an industrial computer, and a control signal input end of the rejecting device is connected with a control signal output end corresponding to the industrial computer; the shooting beat of the industrial camera is kept consistent with the transmission beat of the cheese packaging material, and the industrial camera can capture clear images of the cheese packaging material after the cheese packaging material is irradiated by the parallel backlight source;
Step 2: image acquisition
The cheese package material with the first section detected as a qualified product by manpower is selected and installed on a shearing part conveying device, the cheese package material installed on the shearing part conveying device is intermittently conveyed under the control of an industrial personal computer, the cheese package material partial image is captured when the first section of the cheese package material is conveyed to the position of an industrial camera, and the industrial camera conveys the captured cheese package material partial image to the industrial personal computer in a digital signal form;
step 3: construction of Standard templates
The industrial personal computer firstly receives the image of the qualified cheese packaging material, obtains gray values corresponding to cheese parts in the qualified cheese product, namely a standard gray value I, the number of pixels n1 corresponding to the standard gray value I, and gray values corresponding to handle parts of the handheld bar, namely a standard gray value II and the number of pixels n2 corresponding to the standard gray value II, through analysis and processing, and stores the gray values as a standard template;
Step 4: image analysis processing, comparison and rejection
The method comprises the steps that a shearing device is controlled by an industrial personal computer to cut off qualified cheese packaging materials one by one, the industrial personal computer analyzes and processes received images of subsequent cheese packaging material finished products to obtain the number n1 'of pixels with gray values of standard gray values I and the number n 2' of pixels with gray values of standard gray values II, when n1 'or n 1' is smaller than m, the industrial personal computer judges that the cheese finished products are unqualified and sends signals to a removing device according to a delay beat, the unqualified products and the cheese finished products which are unqualified in the same beat are directly removed when passing through the removing device, and m is a similarity value and a value of 0.8-1.
Further, the first value range of the standard gray level is 70-90, and the second value range of the standard gray level is 100-130.
Further, the image analysis processing steps in the step 3 and the step 4 are as follows: firstly, extracting a detection area through image gray scale based on an edge segmentation method, 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 snap-shot cheese coating partial image comprises 2-3 cheese coating monomers.
Further, the time delay beat=the number of beats required when the reject reaches the rejecting device through the industrial camera capturing position.
Further, in the step 3, the industrial camera collects a plurality of cheese wrapping material images according to the frame number in each intermittent transmission beat, the average value of the sum of the pixel points corresponding to cheese in the collected plurality of cheese wrapping material images is compared with the number of the pixel points corresponding to cheese in the standard template, the average value of the sum of the pixel points corresponding to the hand-held bar handle in the collected plurality of cheese wrapping material images is compared with the number of the pixel points corresponding to the hand-held bar handle in the standard template, and the contrast accuracy is improved.
Further, the bar cheese defect detection processing device comprises a frame, an industrial personal computer and a shearing part conveying device are arranged on the frame, the shearing device is arranged at the discharging end of the shearing part conveying device on the frame, a power source of the shearing part conveying device and a control signal input end of the power source of the shearing device are connected with corresponding control signal output ends of the industrial personal computer, parallel backlights and industrial cameras are arranged on two sides of the frame, corresponding to a cheese package straight line conveying section, of the shearing part conveying device, the industrial cameras and the parallel backlights respectively correspond to the front surface and the back surface of the cheese package and are opposite to each other, a rejecting device is arranged at a discharge opening of the frame, the rejecting device comprises a material guide chute arranged at the position, corresponding to the discharge opening of the shearing device, of the frame, a notch is arranged at the bottom surface of the material guide chute, a turning plate capable of rotating up and down is arranged at the position, a driving mechanism for controlling the turning plate to rotate is arranged on the frame, and the control signal input end of the driving mechanism is connected with the control signal output end corresponding to the industrial personal computer.
Further, a support frame is arranged on the frame, the support frame is composed of a longitudinal support frame which is arranged on the 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.
Further, be located between parallel backlight and the industry camera in the frame and correspond cheese package upper edge fixed mounting L type backup pad, L type backup pad one border direction of delivery extends, the another side is installed in the frame and can adjust from front to back, and L type backup pad side direction supports cheese package, improves cheese package conveying in-process stability, is convenient for industry camera snap shot.
The beneficial effects of the invention are as follows:
The cutting part conveying device continuously conveys the packaged cheese packaging materials from front to back in an intermittent motion mode, outlines of cheese and handheld bar handles in the cheese packaging materials are displayed under the irradiation of a parallel backlight source, an industrial camera is used for capturing and conveying the displayed outlines of the cheese and the handheld bar handles to an industrial personal computer to be compared with a standard template acquired in advance, whether the detected handheld bar handles are qualified or not is further judged, and when the cheese and the handheld bar handles are qualified, the cutting device cuts off and leads out the qualified cheese packaging materials; when cheese or handheld stick handle are unqualified, after shearing mechanism cuts off unqualified cheese packing material, industrial computer control rejection unit rejects unqualified cheese packing material, simple structure, convenient operation, degree of automation is high, improves the qualification rate of leaving factory product, provides the guarantee for product quality and enterprise reputation, avoids bringing economic loss for manufacturing enterprise because of product form quality problem.
Drawings
FIG. 1 is a schematic diagram I of an embodiment of the present invention;
FIG. 2 is a schematic diagram II of an embodiment of the present invention;
FIG. 3 is a schematic view of the structure of the support frame in FIG. 1;
FIG. 4 is a control schematic of the present invention;
FIG. 5 is a schematic diagram of the structure of a standard template or a qualified cheese wrapper in an embodiment of the present invention;
FIG. 6 is a schematic diagram of the structure of a defective cheese wrapper in an embodiment of the present invention;
in the figure: the device comprises a 1-frame, a 2-industrial personal computer, a 3-shearing part conveying device, a 4-shearing device, a 5-parallel backlight source, a 6-support frame, a 7-industrial high-speed camera, an 8-L-shaped support plate, a 9-material guiding chute, a 10-turning plate, an 11-electric push rod, a 601-longitudinal support frame, a 602-transverse support frame and a 603-vertical support frame.
Detailed Description
As shown in fig. 1-6, a bar cheese defect detection processing device comprises a frame 1, an industrial personal computer 2 and a shearing part conveying device 3 are installed on the frame 1, a shearing device 4 is installed at the discharge end of the shearing part conveying device 3 on the frame 1, parallel backlights 5 and supporting frames 6 are installed on two sides of the shearing part conveying device 3 corresponding to a cheese wrapping material straight line conveying section and are opposite to each other, the wavelength of the parallel backlights is 850 nm-2000 nm, the supporting frames 6 are composed of a longitudinal supporting frame 601 installed on the frame 1 through front-back adjustment, a transverse supporting frame 602 installed on the longitudinal supporting frame 601 through left-right adjustment and a vertical supporting frame 603 installed on the transverse supporting frame 602 through up-down adjustment, an industrial camera 7 is installed on the vertical supporting frame 603, an Ethernet port is selected as a conveying mode of the industrial camera 7, and the hardware environment is 7 (64) +intel (R) Core (TM) i3-2120 CPU@3.3GHz+4GB RAM Ethernet industrial camera performance requirements: the sensor type is 2/3', and the global shutter is CMOS; resolution 2448 x 2048; the pixel size is 3.45 μm×3.45 μm; the frame frequency is 11.7fps@2448×2048YUV, 23.5fps@2448×2048Bayer8; dynamic range >60dB; signal to noise ratio >40dB; the gain range is 0-17dB; the exposure time ranges from 20 mu s to 10sec; the shutter mode is a global shutter and supports automatic exposure, manual exposure and one-key exposure modes; the data interface is Gigabit Ethernet; digital I/O: the optical coupler is isolated and provided with an input 1 path, an output 1 path and a bidirectional configurable non-isolated I/O1 path; the buffer capacity is 128MB frame buffer; the data format is Mono8/10/12,RGB8,Bayer RG 8/10/10p/12/12p,YUV 422 8UYVY, YUV 422 8, the L-shaped supporting plate 8 is fixedly arranged between the parallel backlight source 5 and the industrial camera 7 and corresponds to the upper edge of the cheese packaging material on the frame 1, one edge of the L-shaped supporting plate 8 extends along the conveying direction, the other edge of the L-shaped supporting plate is arranged on the frame 1 in a front-back adjusting mode, a removing device is arranged at a discharge port of the frame 1 corresponding to the shearing device 4, the removing device comprises a material guide chute 9 arranged at the discharge port of the frame 1 corresponding to the shearing device 4, a notch is arranged at the bottom surface of the material guide chute 9, a turning plate 10 capable of rotating up and down is arranged at the position of the bottom surface of the material guide chute 9 corresponding to the notch, an electric push rod 11 is arranged between the frame 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 computer 2, and the control signal input end of the power source of the shearing device 3, the control signal input end of the power source 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 computer 2.
A bar cheese missing residue detection processing method comprises the steps of:
step 1: constructing and debugging the bar cheese residue lack detection processing device
The industrial control computer 2 is used for controlling the snapshot beat of the industrial camera 7 to be consistent with the transmission beat of the cheese packaging material, and adjusting the transverse, longitudinal and height of the supporting frame 6 to enable the industrial camera and the parallel backlight source to be opposite to each other, so that the industrial camera 7 can snapshot clear images of 2 cheese packaging material monomers after the parallel backlight source 5 irradiates the cheese packaging material;
Step 2: image acquisition
The cheese package material with the first section being manually detected as a qualified product is selected and installed on the shearing part conveying device 3, the cheese package material installed on the shearing part conveying device 3 is intermittently conveyed under the control of the industrial personal computer 2, 2 cheese package material single images are captured when the first section of the cheese package material is conveyed to the position of the industrial camera 7, and the industrial camera 7 conveys the captured cheese package material partial images to the industrial personal computer 2 in a digital signal mode;
step 3: construction of Standard templates
The industrial personal computer 2 firstly receives an image of a qualified cheese package, extracts a detection area through image gray scale based on an edge segmentation method, then utilizes a Canny algorithm to determine an edge, finally adopts a least square method to fit the detected edge to the image, obtains a gray value corresponding to a cheese part in the qualified cheese, namely a standard gray value I, a pixel number n1 corresponding to the standard gray value I, a gray value corresponding to a handle part of a hand-held bar, namely a standard gray value II and a pixel number n2 corresponding to the standard gray value II, stores the gray value into a standard template, the standard gray value I takes a value range 75, the standard gray value II takes a value range 110, and the industrial camera 7 in each intermittent transmission beat acquires 10 cheese package images according to the frame number, compares the average value of the sum of the pixel numbers corresponding to cheeses in the acquired 10 cheese package images with the pixel number corresponding to cheeses in the standard template, and compares the average value of the sum of the pixel numbers corresponding to the handles in the hand-held bar in the acquired 10 cheese package images with the pixel numbers corresponding to the handles in the standard template;
Step 4: the cutting device 4 is controlled by the industrial personal computer 2 to cut off qualified cheese packaging materials one by one, the industrial personal computer 2 analyzes and processes the received subsequent cheese packaging material finished product images to obtain the number n1 'of pixels with gray values of standard gray values of first gray values and the number n 2' of pixels with gray values of standard gray values of second gray values, when n1 'or n 1' is smaller than m, the industrial personal computer 2 judges that the cheese packaging material is unqualified and sends signals to the removing device according to a delay beat, m is a similarity value and has a value of 0.9, and the delay beat = the number of beats required when the unqualified cheese packaging material reaches the removing device through the snapping position of the industrial camera 7, so that the unqualified cheese packaging material and the cheese packaging material finished product with the unqualified grade in the same beat are directly removed when passing through the removing device.
The above is only a specific embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. 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 missing residue detection processing method is characterized by comprising the following steps:
Step 1: constructing a bar cheese defect detection processing device and debugging
A frame of the shearing part conveying device is provided with a rejecting device at a discharge port of the shearing device, parallel backlights and industrial cameras are arranged on the frame and are positioned on two sides of the frame, corresponding to the linear conveying section of the cheese wrapping material, of the shearing part conveying device, so that the industrial cameras and the parallel backlights respectively correspond to the front surface and the back surface of the cheese wrapping material and are opposite to each other, a signal output end of the industrial cameras is connected with a signal input end of an industrial computer, and a control signal input end of the rejecting device is connected with a control signal output end corresponding to the industrial computer; the shooting beat of the industrial camera is kept consistent with the transmission beat of the cheese packaging material, and the industrial camera can capture clear images of the cheese packaging material after the cheese packaging material is irradiated by the parallel backlight source;
Step 2: image acquisition
The cheese package material with the first section detected as a qualified product by manpower is selected and installed on a shearing part conveying device, the cheese package material installed on the shearing part conveying device is intermittently conveyed under the control of an industrial personal computer, the cheese package material partial image is captured when the first section of the cheese package material is conveyed to the position of an industrial camera, and the industrial camera conveys the captured cheese package material partial image to the industrial personal computer in a digital signal form;
step 3: construction of Standard templates
The industrial personal computer firstly receives the image of the qualified cheese packaging material, obtains gray values corresponding to cheese parts in the qualified cheese product, namely a standard gray value I, the number of pixels n1 corresponding to the standard gray value I, and gray values corresponding to handle parts of the handheld bar, namely a standard gray value II and the number of pixels n2 corresponding to the standard gray value II, through analysis and processing, and stores the gray values as a standard template;
Step 4: image analysis processing, comparison and rejection
The method comprises the steps that a shearing device is controlled by an industrial personal computer to cut off qualified cheese packaging materials one by one, the industrial personal computer analyzes and processes received images of subsequent cheese packaging material finished products to obtain the number n1 'of pixels with gray values of standard gray values I and the number n 2' of pixels with gray values of standard gray values II, when n1 'or n 1' is smaller than m, the industrial personal computer judges that the cheese finished products are unqualified and sends signals to a removing device according to a delay beat, the unqualified products and the cheese finished products which are unqualified in the same beat are directly removed when passing through the removing device, and m is a similarity value and a value of 0.8-1.
2. The bar cheese defect detection processing method according to claim 1, characterized by comprising the steps of: the range of the standard gray value I is 70-90, and the range of the standard gray value II is 100-130.
3. The bar cheese defect detection processing method according to claim 1, characterized by comprising the steps of: the image analysis processing steps in the step 3 and the step 4 are as follows: firstly, extracting a detection area through image gray scale based on an edge segmentation method, 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 defect detection processing method according to claim 1, characterized by comprising the steps of: the wavelength of the parallel backlight source is 850 nm-2000 nm.
5. The bar cheese defect detection processing method according to claim 1, characterized by comprising the steps of: the snap-shot cheese wrapping material partial image comprises 2-3 cheese wrapping material monomers.
6. The bar cheese defect detection processing method according to claim 1, characterized by comprising the steps of: delay beat = the number of beats required when the reject arrives at the rejection apparatus through the industrial camera snapshot location.
7. The bar cheese defect detection processing method according to claim 1, characterized by comprising the steps of: in the step 3, the industrial camera collects a plurality of cheese wrapping material images according to the frame number in each intermittent transmission beat, the average value of the sum of the pixel points corresponding to cheese in the collected plurality of cheese wrapping material images is compared with the pixel point number corresponding to cheese in a standard template, and the average value of the sum of the pixel points corresponding to the hand-held bar handle in the collected plurality of cheese wrapping material images is compared with the pixel point number corresponding to the hand-held bar handle in the standard template.
8. The bar cheese defect detection processing device used in the bar cheese defect detection processing method according to any one of claims 1-7, comprising a frame, wherein an industrial personal computer and a shearing part conveying device are arranged on the frame, the shearing device is arranged on the frame at the discharge end of the shearing part conveying device, and the power source of the shearing part conveying device and the control signal input end of the power source of the shearing device are connected with the corresponding control signal output end of the industrial personal computer, and the bar cheese defect detection processing device is characterized in that: parallel backlights and industrial cameras are arranged on two sides of a straight line conveying section of the cheese wrapping material corresponding to the shearing part conveying device on the frame, the industrial cameras and the parallel backlights correspond to the front surface and the back surface of the cheese wrapping material respectively and are opposite to each other, a removing device is arranged at a discharge port of the shearing device corresponding to the shearing device on the frame, the removing device comprises a guide chute arranged at the discharge port of the shearing device corresponding to the frame, a gap is arranged on the bottom surface of the guide chute, a turning plate capable of rotating up and down is arranged at the bottom surface of the guide chute corresponding to the gap, a driving mechanism for controlling the turning plate to rotate is arranged on the 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 defect detection processing device according to claim 8, wherein: the industrial camera is characterized in that a support frame is arranged on the frame and consists of a longitudinal support frame which is arranged on the frame in a front-back adjusting manner, a transverse support frame which is arranged on the longitudinal support frame in a left-right adjusting manner and a vertical support frame which is arranged on the transverse support frame in an up-down adjusting manner, and the industrial camera is arranged on the vertical support frame.
10. The bar cheese defect detection processing device according to claim 8, wherein: an L-shaped supporting plate is fixedly arranged on the frame, positioned between the parallel backlight source and the industrial camera and corresponding to the upper edge of the cheese wrapping material, one edge of the L-shaped supporting plate extends along the conveying direction, and the other edge of the L-shaped supporting plate is arranged on the frame and can be adjusted forwards and backwards.
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| CN202111269367.XA CN113916895B (en) | 2021-10-29 | 2021-10-29 | Method and device for detecting and processing defective bars and cheeses |
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| CN202111269367.XA CN113916895B (en) | 2021-10-29 | 2021-10-29 | Method and device for detecting and processing defective bars and cheeses |
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| CN113916895B true CN113916895B (en) | 2024-06-04 |
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| JP2021042993A (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 |
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