CN112517429A - Capsule autofilter device based on vision calculates - Google Patents
Capsule autofilter device based on vision calculates Download PDFInfo
- Publication number
- CN112517429A CN112517429A CN202011165289.4A CN202011165289A CN112517429A CN 112517429 A CN112517429 A CN 112517429A CN 202011165289 A CN202011165289 A CN 202011165289A CN 112517429 A CN112517429 A CN 112517429A
- Authority
- CN
- China
- Prior art keywords
- capsule
- telescopic rod
- capsules
- defective
- conveying
- 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.)
- Pending
Links
- 239000002775 capsule Substances 0.000 title claims abstract description 235
- 230000007547 defect Effects 0.000 claims abstract description 47
- 230000000007 visual effect Effects 0.000 claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 238000012216 screening Methods 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 239000002699 waste material Substances 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 7
- 230000008602 contraction Effects 0.000 claims abstract description 5
- 238000012545 processing Methods 0.000 claims description 51
- 230000002950 deficient Effects 0.000 claims description 42
- 238000007664 blowing Methods 0.000 claims description 14
- 239000011159 matrix material Substances 0.000 claims description 14
- 238000012546 transfer Methods 0.000 claims description 12
- 238000007689 inspection Methods 0.000 claims description 11
- 238000013500 data storage Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 5
- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 230000008030 elimination Effects 0.000 abstract description 6
- 238000003379 elimination reaction Methods 0.000 abstract description 6
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 239000003814 drug Substances 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 108010010803 Gelatin Proteins 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229920002678 cellulose Polymers 0.000 description 1
- 239000001913 cellulose Substances 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 229920000159 gelatin Polymers 0.000 description 1
- 239000008273 gelatin Substances 0.000 description 1
- 235000019322 gelatine Nutrition 0.000 description 1
- 235000011852 gelatine desserts Nutrition 0.000 description 1
- 150000004676 glycans Chemical class 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 229920001282 polysaccharide Polymers 0.000 description 1
- 239000005017 polysaccharide Substances 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
- B07C5/365—Sorting apparatus characterised by the means used for distribution by means of air using a single separation means
Landscapes
- Sorting Of Articles (AREA)
Abstract
The invention relates to a capsule automatic screening device based on visual calculation, which comprises: the invention relates to a capsule detection device, an eliminating device, a waste collection box and a fixed support, wherein the capsule detection device is used for detecting the defects of capsules by using a computer vision technology, the waste is eliminated by the eliminating device and collected in the waste collection box, the whole device is simple in structure and can realize full-automatic control of the whole process of capsule detection, elimination and transportation, the mechanism is simple, the screening precision is high, the eliminating device adopts contact elimination, the capsules are eliminated by using the contraction of a telescopic rod, the eliminating effect is good, the blockage is not easy to cause, meanwhile, the moving speed of a conveyor belt is determined according to the number of the unrejected capsules, the elimination of the packaged capsules is not blocked, and the conveying speed is improved under the condition of no.
Description
Technical Field
The invention belongs to the field of material detection and conveying, and particularly relates to an automatic capsule screening device based on visual calculation
Background
Capsules, which are capsules made of special film-forming materials (such as gelatin, cellulose, polysaccharide and the like) are filled with contents (such as various medicaments in powder and liquid forms) or according to dosage, so that the capsules are convenient to swallow, have wide application in the pharmaceutical field, and have great production requirements, but in the production process of the capsules, waste products and defective products inevitably occur in the produced capsules due to machine faults, operation faults and the inherent rejection rate of the machines, and the main defects are as follows: deformation, cutting, top concave, thoughtlessly criticize, nested etc. and if the capsule that does not conform to the standard can not in time be rejected, can let a whole board medicament of encapsulation scrap, influence enterprise's image, reduced the qualification rate of capsule, increase the cost of enterprise, therefore capsule wastrel detects and seems to be very important, but current capsule sieve separator still has following problem:
the traditional capsule defective product detection device has low automation degree on removing defective capsules, and does not realize the automation of detection and removal of the capsules.
Disclosure of Invention
The present invention is directed to solving the above problems, and to this end, the present invention provides an automatic capsule screening apparatus based on visual calculation, which includes:
the conveying device at least comprises a conveying belt, and a plurality of through conveying holes are uniformly formed in the surface of the conveying belt;
the capsule detection device is arranged above the conveyor belt and used for detecting whether capsules driven on the conveyor belt have defects or not, controlling the moving speed of the conveyor belt according to the number of the non-removed capsules and controlling the telescopic rod to stretch;
the rejecting device, it sets up the downside of conveyer belt for reject the capsule on the conveyer belt, it includes: the capsule removing device comprises a removing box body, an inclined plate and a telescopic rod arranged in the removing box, wherein when the conveying belt drives capsules to reach the upper part of the telescopic rod, the telescopic rod can drive the capsules to enter the removing box through contraction;
a waste collection box arranged at one side of the rejection box body and used for collecting the capsule waste discharged from the rejection box body
The fixed support comprises two vertical rods which are vertically arranged and a bottom plate which is transversely arranged, and is used for fixing the removing device and the waste collecting box below the conveying belt.
Further, conveyer still includes a backup pad, the backup pad is used for supporting the conveyer belt, be provided with the hole that falls down on the backup pad 7, the hole that falls down set up the interval with the conveyer hole sets up the interval corresponding, so that the capsule that drives in the conveyer hole reachs can free fall when falling the hole.
Furthermore, the surface of the supporting plate is made of smooth materials, so that the conveying belt drives capsules in the conveying holes to smoothly move on the supporting plate.
Furthermore, the surface of the rejection box body is provided with a discharge hole, an inclined plate is obliquely arranged inside the rejection box body, one end of the inclined plate is fixedly connected with the inner wall of the rejection box body, the other end of the inclined plate is connected with the other end of the inner wall of the rejection box body, and the inclined plate extends out of the discharge hole, so that capsules can flow out of the discharge hole along the inclined plate, and an air inlet hole is formed in the upper portion of the discharge hole and used for fixing an air blowing pipe of an.
Furthermore, the telescopic rod is vertically arranged at the bottom of the rejection box and is positioned on the same straight line with the falling hole, so that the telescopic rod can extend out of the falling hole, one end of the telescopic rod is fixed with the bottom of the rejection box, and the end face of the other end of the telescopic rod is provided with a concave part, so that capsules can be completely placed in the concave part.
Further, the telescopic link is connected with the control motor, and when the defective capsule is conveyed to the position right above the telescopic link by the conveying belt, the control motor controls the telescopic link to descend to drive the capsule to fall.
Furthermore, be provided with gas blowing device on the montant of fixed bolster, the gas outlet end of gas blowing device's outlet duct is fixed on the inlet port, works as when the telescopic link drives the capsule and descends to predetermineeing the position, gas blowing device starts, through the outlet duct blows in the air to the inlet port, will capsule on the telescopic link blows off.
Furthermore, a vision system camera and a processing system are arranged in the capsule detection device, the vision system camera is used for shooting a capsule picture and transmitting picture information to the processing system, a vision processing algorithm is arranged in the processing system and used for processing the capsule picture shot by the vision system camera and judging whether the capsule is defective or not, meanwhile, the number n of passing capsules is recorded, when the capsule is detected to be defective, the processing system records the defective capsule, and when the defective capsule is transmitted to the upper portion of the telescopic rod by the conveyor belt, the processing system controls the telescopic rod to descend through the control motor.
Further, the visual processing algorithm needs artificial intelligence training before being used, and the training process comprises the following steps:
selecting a plurality of standard capsules, shooting the standard capsules by using the capsule inspection device to form a plurality of standard capsule pictures, identifying the standard capsule pictures by using the visual processing algorithm, extracting standard capsule features, and forming a standard capsule feature data set;
step two, selecting a defective capsule, shooting the standard capsule by using the capsule inspection device to form a plurality of defective capsule pictures, extracting defective capsule features from the capsule defect pictures, comparing the defective capsule features with the standard capsule features, and determining capsule defect identification features, so that the visual processing algorithm can identify different defects of the capsule in the images according to the capsule defect features, and correspondingly, generating a capsule defect feature identification matrix P (P1, P2.. Pn), wherein P1 represents a first class of capsule defect identification features, P2 represents a second class of capsule defect identification features.. P3 represents a third class of capsule defect identification features, and the capsule inspection device is further internally provided with a capsule data storage matrix C (C1, C2, C3), wherein C1 represents a capsule defect type, C2 represents a capsule defect position, the capsule defect position comprises a middle part and a top part, C3 represents a capsule defect picture, and correspondingly, when the capsule detection device detects a defective capsule, the capsule defect data is recorded to generate the capsule data storage matrix C (C1, C2, C3).
Further, the capsule detection device is connected with a motor of the conveying device, the power of the motor is controlled according to the number K0 of the non-rejected defective capsules so as to control the conveying speed of the conveying belt, and a conveying speed control matrix K (K1, K2, K3) is arranged inside the processing system, wherein: k1 denotes a first transfer rate, K2 denotes a second transfer rate, K3 denotes a third transfer rate, K3> K2> K1; contrast parameters K01 and KO2 are also arranged in the processing system, and K02 is greater than K01;
when K0< K01, the processing system controls the conveyor belt to convey at a third conveyance rate K3;
when K01 is not more than K0< K02, the processing system controls the conveyor belt to convey at a second conveying speed K2;
when K02 is not less than K0, the processing system controls the conveyor belt to convey at a first conveying speed K1.
Compared with the prior art, the invention has the technical effects that the invention comprises the following steps: the invention relates to a capsule detection device, an eliminating device, a waste collection box and a fixed support, wherein the capsule detection device is used for detecting the defects of capsules by using a computer vision technology, the waste is eliminated by the eliminating device and collected in the waste collection box, the whole device is simple in structure and can realize full-automatic control of the whole process of capsule detection, elimination and transportation, the mechanism is simple, the screening precision is high, the eliminating device adopts contact elimination, the capsules are eliminated by using the contraction of a telescopic rod, the eliminating effect is good, the blockage is not easy to cause, meanwhile, the moving speed of a conveyor belt is determined according to the number of the unrejected capsules, the elimination of the packaged capsules is not blocked, and the conveying speed is improved under the condition of no.
In particular, the defective capsules are rejected in a contact mode through the telescopic rod by using the rejection device, so that the rejection reliability is higher.
Particularly, the processing system is internally provided with a visual processing algorithm, the visual processing algorithm generates a capsule defect characteristic identification matrix P (P1, P2.. Pn) by training, can identify the type of the capsule defect according to the capsule picture and identify the position of the capsule defect at the same time, and leaves the relevant information of the defective capsule after identifying the defective capsule, thereby being beneficial to the follow-up analysis process problem of a manufacturer and improving the process for producing the capsule.
Particularly, a conveying speed control matrix K (K1, K2 and K3) is arranged in the processing system of the capsule detection device, the conveying speed of the conveying belt is controlled according to the number of defective capsules, the conveying speed of the conveying belt is reduced when the number of defective capsules is large, the defective capsules can be removed smoothly, the conveying speed of the conveying belt is increased when the number of the defective capsules is low, the conveying efficiency is increased, and the conveying efficiency of the whole device is improved.
Drawings
FIG. 1 is a view illustrating an installation structure of an automatic capsule screening apparatus based on visual calculation according to an embodiment of the present invention;
FIG. 2 is a block diagram of an automatic capsule screening apparatus based on visual calculation according to an embodiment of the present invention;
fig. 3 is a cross-sectional view of the inside of an automatic capsule screening device based on visual calculation according to an embodiment of the present invention.
Detailed Description
The above and further features and advantages of the present invention are described in more detail below with reference to the accompanying drawings.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1-2, which are a block diagram of an installation structure of an automatic capsule screening device based on visual calculation and a block diagram of an automatic capsule screening device based on visual calculation according to an embodiment of the present invention, an automatic capsule screening device based on visual calculation according to an embodiment of the present invention includes:
the conveying device at least comprises a conveying belt 6, and a plurality of through conveying holes 61 are uniformly formed in the surface of the conveying belt;
a capsule detection device 8 arranged above the conveyor belt 6 for detecting whether the capsule carried on the conveyor belt has defects;
rejecting device, it sets up in conveyer belt 6 below for reject the capsule on the conveyer belt 6, it includes: the capsule removing machine comprises a removing box body 2, an inclined plate 21 and a telescopic rod 24 arranged in the removing box, wherein when the conveyor belt 6 drives capsules to reach the upper part of the telescopic rod 24, the telescopic rod can drive the capsules to enter the removing box 2 through contraction;
a waste collection box 4 arranged at one side of the rejection box 2 for collecting the capsule waste discharged from the rejection box 2
The fixed support 1 comprises two vertical rods which are vertically arranged and a bottom plate 11 which is transversely arranged and is used for fixing the rejecting device and the waste collecting box 4 below the conveying belt 6.
Particularly, conveyer, it still includes a backup pad 7, backup pad 7 is used for supporting the conveyer belt, and its surface adopts smooth material so that the conveyer belt drives the capsule in its transfer port and is in smooth and easy the removal in the backup pad, be provided with the drop hole (not drawn on the picture) on the backup pad 7, the drop hole set position with transfer port position on the conveyer belt 6 is corresponding, so that the capsule that drives in the transfer port 61 reachs can free fall when dropping the hole.
Specifically, the delivery holes 61 are arranged at preset intervals L so that the telescopic rod has sufficient falling and rebounding time to prevent the capsule from continuously falling.
Specifically, referring to fig. 3, the surface of the rejecting box 2 of the rejecting device is provided with a discharge port, an inclined plate 21 is obliquely arranged inside the rejecting box 2, one end of the inclined plate 21 is fixedly connected with the inner wall of the rejecting box 2, and the other end of the inclined plate extends out of the discharge port 22, so that the capsule flows out of the discharge port 22 along the inclined plate 21, and an air inlet 23 is arranged above the discharge port 22 and used for fixing an air blowing pipe 51 of an air blowing device.
Specifically, as shown in fig. 3, the telescopic rod is vertically arranged at the bottom of the removing box and is located on the same straight line with the falling hole, so that the telescopic rod 24 can extend out of the falling hole, one end of the telescopic rod 24 is fixed to the bottom of the removing box, and a recess is formed in the end face of the other end of the telescopic rod, so that the capsule can be completely placed in the recess.
Specifically, the telescopic link 24 is connected with the control motor, and when the capsule needs to be rejected, the control motor controls the telescopic link 24 to descend to drive the capsule to fall when the capsule is conveyed to the position right above the telescopic link by the conveying belt.
Particularly, be provided with gas blowing device 5 on the montant of fixed bolster, gas blowing device's outlet duct 51's the end of giving vent to anger is fixed on inlet port 23, work as when telescopic link 24 drives the capsule and descends to preset position, gas blowing device starts, through the outlet duct blows in the air in to inlet port 23, will capsule on the telescopic link 24 blows off.
Specifically, the conveying device is provided with a capsule detection device 8, a vision system camera 81 and a processing system are arranged in the capsule detection device, the vision system camera 81 is used for shooting a capsule picture and transmitting picture information to the processing system, a vision processing algorithm is arranged in the processing system and used for processing the capsule picture shot by the vision system camera and judging whether the capsule is defective or not, meanwhile, the number n of passed capsules is recorded, when the capsule is detected to be defective, the processing system records the defective capsule, and when the defective capsule is transmitted to the upper portion of the telescopic rod by the conveying belt, the processing system controls the telescopic rod to descend through the control motor.
Specifically, a visual processing algorithm is arranged in the processing system, the visual processing algorithm needs artificial intelligence training before being used, and the training process comprises the following steps:
selecting a plurality of standard capsules, shooting the standard capsules by using the capsule inspection device to form a plurality of standard capsule pictures, identifying the standard capsule pictures by using the visual processing algorithm, extracting standard capsule features, and forming a standard capsule feature data set;
selecting a defective capsule, shooting the standard capsule by using the capsule inspection device to form a plurality of defective capsule pictures, extracting defective capsule features from the capsule defect pictures, comparing the defective capsule features with the standard capsule features, and determining capsule defect identification features, so that the visual processing algorithm can identify different defects of the capsule in the images according to the capsule defect features, and correspondingly generating a capsule defect feature identification matrix P (P1, P2.. Pn), wherein P1 represents first-class capsule defect identification features, and P2 represents second-class capsule defect identification features.
Specifically, the capsule inspection apparatus is internally provided with a capsule data storage matrix C (C1, C2, C3), wherein C1 represents a capsule defect type, C2 represents a capsule defect position, the capsule defect position comprises a middle part and a top part, and C3 represents a capsule defect picture, and correspondingly, when the capsule inspection apparatus detects a defective capsule, the capsule defect data is recorded to generate the capsule data storage matrix C (C1, C2, C3).
Specifically, the capsule detection device is connected with a motor of the conveying device, the power of the motor is controlled according to the number K0 of non-rejected defective capsules so as to control the conveying speed of the conveying belt, and a conveying speed control matrix K (K1, K2 and K3) is arranged inside the processing system, wherein: k1 denotes a first transfer rate, K2 denotes a second transfer rate, K3 denotes a third transfer rate, K3> K2> K1; contrast parameters K01 and KO2 are also arranged in the processing system, and K02 is greater than K01;
when K0< K01, the processing system controls the conveyor belt to convey at a third conveyance rate K3;
when K01 is not more than K0< K02, the processing system controls the conveyor belt to convey at a second conveying speed K2;
when K02 is not less than K0, the processing system controls the conveyor belt to convey at a first conveying speed K1.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A capsule autofilter device based on visual computation, comprising:
the conveying device at least comprises a conveying belt, and a plurality of through conveying holes are uniformly formed in the surface of the conveying belt;
the capsule detection device is arranged above the conveyor belt and used for detecting whether capsules driven on the conveyor belt have defects or not, controlling the moving speed of the conveyor belt according to the number of the non-removed capsules and controlling the telescopic rod to stretch;
the rejecting device, it sets up the downside of conveyer belt for reject the capsule on the conveyer belt, it includes: the capsule removing device comprises a removing box body, an inclined plate and a telescopic rod arranged in the removing box, wherein when the conveying belt drives capsules to reach the upper part of the telescopic rod, the telescopic rod can drive the capsules to enter the removing box through contraction;
a waste collection box arranged at one side of the rejection box body and used for collecting the capsule waste discharged from the rejection box body
The fixed support comprises two vertical rods which are vertically arranged and a bottom plate which is transversely arranged, and is used for fixing the removing device and the waste collecting box below the conveying belt.
2. The automatic capsule screening device based on visual calculation of claim 1, wherein the conveying device further comprises a supporting plate for supporting the conveyor belt, and the supporting plate 7 is provided with dropping holes at intervals corresponding to the conveying hole intervals, so that the capsule carried in the conveying hole can freely fall down when reaching the dropping hole.
3. The capsule automatic screening device based on visual calculation of claim 2, wherein the surface of the supporting plate is made of smooth material, so that the capsule in the conveying hole is driven by the conveying belt to move smoothly on the supporting plate.
4. The capsule automatic screening device based on visual calculation of claim 1, wherein the surface of the rejection box body is provided with a discharge port, the inside of the rejection box body is obliquely provided with an inclined plate, one end of the inclined plate is fixedly connected with the inner wall of the rejection box body, and the other end of the inclined plate extends out of the discharge port, so that the capsule flows out of the discharge port along the inclined plate, and an air inlet hole is arranged above the discharge port and used for fixing an air blowing pipe of an air blowing device.
5. The capsule autofilter device based on visual calculation of claim 1, wherein the telescopic rod is vertically disposed at the bottom of the rejecting box and is in the same line with the falling hole, so that the telescopic rod can extend out of the falling hole, one end of the telescopic rod is fixed with the bottom of the rejecting box, and the other end of the telescopic rod is provided with a recess, so that the capsule can be completely placed in the recess.
6. The capsule automatic screening device based on vision calculation of claim 5, wherein the telescopic rod is connected with a control motor, and when the defective capsule is conveyed by the conveyor belt to a position right above the telescopic rod, the control motor controls the telescopic rod to descend so as to drive the capsule to fall.
7. The capsule automatic screening device based on vision calculation of claim 1, wherein an air blowing device is arranged on a vertical rod of the fixed support, an air outlet end of an air outlet pipe of the air blowing device is fixed on the air inlet hole, when the telescopic rod drives the capsule to descend to a preset position, the air blowing device is started, air is blown into the air inlet hole through the air outlet pipe, and the capsule on the telescopic rod is blown down.
8. The vision-calculation-based automatic capsule screening device according to claim 1, wherein a vision system camera and a processing system are arranged in the capsule detection device, the vision system camera is used for taking a capsule picture and transmitting picture information to the processing system, a vision processing algorithm is arranged in the processing system and used for processing the capsule picture taken by the vision system camera and judging whether the capsule is defective or not, meanwhile, the number n of passed capsules is recorded, when the capsule is detected to be defective, the processing system records the defective capsule, and when the defective capsule is conveyed to the position above the telescopic rod by the conveyor belt, the processing system controls the telescopic rod to descend through the control motor.
9. The vision-computation-based capsule autofilter apparatus of claim 8, wherein the vision processing algorithm is trained with artificial intelligence before use, and the training process comprises:
selecting a plurality of standard capsules, shooting the standard capsules by using the capsule inspection device to form a plurality of standard capsule pictures, identifying the standard capsule pictures by using the visual processing algorithm, extracting standard capsule features, and forming a standard capsule feature data set;
step two, selecting a defective capsule, shooting the standard capsule by using the capsule inspection device to form a plurality of defective capsule pictures, extracting defective capsule features from the capsule defect pictures, comparing the defective capsule features with the standard capsule features, and determining capsule defect identification features, so that the visual processing algorithm can identify different defects of the capsule in the images according to the capsule defect features, and correspondingly, generating a capsule defect feature identification matrix P (P1, P2.. Pn), wherein P1 represents a first class of capsule defect identification features, P2 represents a second class of capsule defect identification features.. P3 represents a third class of capsule defect identification features, and the capsule inspection device is further internally provided with a capsule data storage matrix C (C1, C2, C3), wherein C1 represents a capsule defect type, C2 represents a capsule defect position, the capsule defect position comprises a middle part and a top part, C3 represents a capsule defect picture, and correspondingly, when the capsule detection device detects a defective capsule, the capsule defect data is recorded to generate the capsule data storage matrix C (C1, C2, C3).
10. The vision-computation-based automatic capsule screening device according to claim 1, wherein the capsule inspection device is connected to a motor of the conveyor, the power of the motor is controlled according to the number of non-rejected defective capsules K0 so as to control the conveying speed of the conveyor belt, and a conveying speed control matrix K (K1, K2, K3) is provided inside the processing system, wherein: k1 denotes a first transfer rate, K2 denotes a second transfer rate, K3 denotes a third transfer rate, K3> K2> K1; contrast parameters K01 and KO2 are also arranged in the processing system, and K02 is greater than K01;
when K0< K01, the processing system controls the conveyor belt to convey at a third conveyance rate K3;
when K01 is not more than K0< K02, the processing system controls the conveyor belt to convey at a second conveying speed K2;
when K02 is not less than K0, the processing system controls the conveyor belt to convey at a first conveying speed K1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011165289.4A CN112517429A (en) | 2020-10-27 | 2020-10-27 | Capsule autofilter device based on vision calculates |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011165289.4A CN112517429A (en) | 2020-10-27 | 2020-10-27 | Capsule autofilter device based on vision calculates |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112517429A true CN112517429A (en) | 2021-03-19 |
Family
ID=74978949
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011165289.4A Pending CN112517429A (en) | 2020-10-27 | 2020-10-27 | Capsule autofilter device based on vision calculates |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112517429A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113289924A (en) * | 2021-05-20 | 2021-08-24 | 北京美宝高科技有限责任公司 | Gastrointestinal capsule pill selection device and method thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105583162A (en) * | 2014-11-05 | 2016-05-18 | 南京大目信息科技有限公司 | Universal full-automatic capsule defect detecting system |
| CN210497309U (en) * | 2019-07-15 | 2020-05-12 | 苏州市职业大学 | Capsule defect detection system based on machine vision |
| CN215354787U (en) * | 2020-10-27 | 2021-12-31 | 贵州大学 | Capsule autofilter device based on vision calculates |
-
2020
- 2020-10-27 CN CN202011165289.4A patent/CN112517429A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105583162A (en) * | 2014-11-05 | 2016-05-18 | 南京大目信息科技有限公司 | Universal full-automatic capsule defect detecting system |
| CN210497309U (en) * | 2019-07-15 | 2020-05-12 | 苏州市职业大学 | Capsule defect detection system based on machine vision |
| CN215354787U (en) * | 2020-10-27 | 2021-12-31 | 贵州大学 | Capsule autofilter device based on vision calculates |
Non-Patent Citations (1)
| Title |
|---|
| 朱书德等: "基于机器视觉的胶囊缺陷检测装置设计", 贵州大学学报( 自然科学版), vol. 37, no. 3, 31 May 2020 (2020-05-31), pages 42 - 48 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113289924A (en) * | 2021-05-20 | 2021-08-24 | 北京美宝高科技有限责任公司 | Gastrointestinal capsule pill selection device and method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104209273B (en) | A defect detecting device for a bottle cap | |
| CN210847262U (en) | Medical plastic bag defect detection device | |
| JP2017136559A (en) | Automatic sorter of lead accumulator electrode plate | |
| CN206395010U (en) | Automatic several bottling machines | |
| CN111242177B (en) | Method, system and equipment for detecting medicine package based on convolutional neural network | |
| JP2011059114A (en) | Device and method for investigating vessel lid | |
| CN107127163A (en) | A kind of Novel button sorting equipment | |
| CN112517429A (en) | Capsule autofilter device based on vision calculates | |
| CN111674652A (en) | Bubble cap plate defective product removing device | |
| CN215354787U (en) | Capsule autofilter device based on vision calculates | |
| CN112158416A (en) | Arranging, detecting, counting and packaging all-in-one machine | |
| CN101373178A (en) | Method and system for detecting granular medicament appearance | |
| CN205471720U (en) | Thin slice material promotes and divides material feed machine | |
| CN212494051U (en) | Online leakproofness check out test set | |
| CN206951602U (en) | A kind of Novel button sorting equipment | |
| CN214777140U (en) | Full-automatic assembly line for seasoning product offline | |
| CN215354788U (en) | Inspection rejects device among capsule visual defect testing process | |
| CN206615468U (en) | A kind of material counts discharging production line | |
| CN216397142U (en) | Visual detection device | |
| KR101210551B1 (en) | Singulation apparatus type of turntable | |
| CN215476014U (en) | Feeding system of screening and counting O-shaped rubber ring packaging machine | |
| CN209870956U (en) | High-efficient tablet counting machine | |
| CN114018947A (en) | High reflection of light plastic bottle lid surface flaw detection device | |
| CN213001267U (en) | Tablet detection equipment capable of eliminating damage | |
| CN107132176A (en) | Visual combination formula tablet counting mechanism |
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 |