CN112630150A - Imaging system for COIL AI appearance detection - Google Patents
Imaging system for COIL AI appearance detection Download PDFInfo
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- CN112630150A CN112630150A CN202011502621.1A CN202011502621A CN112630150A CN 112630150 A CN112630150 A CN 112630150A CN 202011502621 A CN202011502621 A CN 202011502621A CN 112630150 A CN112630150 A CN 112630150A
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- 238000003384 imaging method Methods 0.000 title claims abstract description 24
- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 230000007246 mechanism Effects 0.000 claims abstract description 46
- 238000003825 pressing Methods 0.000 claims abstract description 16
- 238000007599 discharging Methods 0.000 claims abstract description 7
- 230000007547 defect Effects 0.000 claims description 34
- 239000000463 material Substances 0.000 claims description 26
- 238000000034 method Methods 0.000 claims description 26
- 238000007689 inspection Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 14
- 230000003139 buffering effect Effects 0.000 claims description 4
- 238000013135 deep learning Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 229910000831 Steel Inorganic materials 0.000 claims description 3
- 230000009191 jumping Effects 0.000 claims description 3
- 239000010959 steel Substances 0.000 claims description 3
- 239000002699 waste material Substances 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 2
- 238000003466 welding Methods 0.000 claims 1
- 238000003754 machining Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000011897 real-time detection Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
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- 238000004804 winding Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 208000003464 asthenopia Diseases 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/9515—Objects of complex shape, e.g. examined with use of a surface follower device
Abstract
The invention discloses an imaging system for COIL AI appearance detection, which comprises a feeding mechanism, a measuring mechanism and a discharging mechanism, and is characterized in that: the measuring mechanism comprises a buffer tray, a rotary table mechanism is arranged on one side of the buffer tray, a rotary table is arranged on the top of the rotary table mechanism, a first rotary photographing unit is arranged on the top of the rotary table, a second rotary photographing unit is arranged on one side of the first rotary photographing unit, a third rotary photographing unit is arranged on one side of the second rotary photographing unit, an unloading unit is arranged on one side of the third rotary photographing unit, a loading unit is arranged on one side of the unloading unit, a pressing unit is arranged on one side of the loading unit, the first rotary photographing unit comprises a top pressure head, a guide sheet is arranged at the bottom of the top pressure head, a base is arranged at the bottom of the guide sheet, and a bottom pressure head is arranged at the bottom of the base.
Description
Technical Field
The invention relates to the technical field of appearance detection, in particular to a COIL AI appearance detection imaging system.
Background
Appearance inspection is an inspection method mainly used for rapidly identifying appearance defects of a sample. The appearance detection system is mainly used for rapidly identifying appearance defects of a sample, such as pits, cracks, warps, gaps, stains, sand grains, burrs, bubbles, uneven color and the like, and the detected sample can be transparent or opaque.
The prior coil product appearance detection is generally in a visual identification mode, so that the measuring standard is possibly inconsistent due to human factors, and the condition of misjudgment caused by visual fatigue is detected for a long time. With the deep matching of computer technology and optical, mechanical and electrical technologies, the method has the characteristics of rapid and accurate detection, but still cannot ensure the rapid measurement of various error factors. Therefore, it is necessary to design an imaging system for detecting the appearance of COIL AI with high detection accuracy and strong practicability.
Disclosure of Invention
It is an object of the present invention to provide an imaging system for COIL AI appearance inspection that solves the problems set forth in the background above.
In order to solve the technical problems, the invention provides the following technical scheme: to COIL AI outward appearance detection imaging system, including feed mechanism, measuring mechanism, unloading mechanism, its characterized in that: the measuring mechanism comprises a buffering tray, one side of the buffering tray is provided with a rotary table mechanism, the top of the rotary table mechanism is provided with a rotary table, the top of the rotary table is provided with a first rotary photographing unit, one side of the first rotary photographing unit is provided with a second rotary photographing unit, one side of the second rotary photographing unit is provided with a third rotary photographing unit, one side of the third rotary photographing unit is provided with an unloading unit, one side of the unloading unit is provided with a loading unit, and one side of the loading unit is provided with a pressing unit.
According to the technical scheme, the first rotary photographing unit comprises a top pressure head, a guide piece is arranged at the bottom of the top pressure head, a base is installed at the bottom of the guide piece, a bottom pressure head is installed at the bottom of the base, a first backlight is arranged at the bottom of the first rotary photographing unit, a first annular lamp is arranged at the top of the first backlight, and a first photographing head is arranged at the top of the first annular lamp.
According to the technical scheme, the rotary photographing unit II comprises a backlight unit II, an annular lamp II is arranged at the bottom of the backlight unit II, a photographing head II is arranged at the bottom of the annular lamp II, and a lens I is installed at the bottom of the photographing head II.
According to the technical scheme, the rotary photographing unit III comprises a backlight III, a lens II is installed at the bottom of the backlight III, and a photographing head III is installed at the bottom of the lens II.
According to the technical scheme, the automatic feeding device further comprises a mechanical arm, the mechanical arm comprises a vacuum suction part, a product is installed at the bottom of the vacuum suction part, suction nozzles are evenly arranged at the bottom of the product, and a sensor is arranged inside the product in a penetrating mode.
According to the technical scheme, the blanking mechanism comprises the stacking tray, a normal tray is arranged on one side of the stacking tray, and an empty tray is arranged on one side of the normal tray.
According to the technical scheme, the detection process flow of the imaging system comprises
The method comprises the following steps: a robot takes materials, and a mechanical arm is used for taking the coil off a loaded tray and placing the coil on a clamp;
step two: unloading, wherein the coil is unloaded from the clamp by the robot through the clamping device;
step three: pressing, namely placing the coil on a feeding plate, and then pushing the coil of the strip-shaped mechanism into the pressing unit by a person;
step four: the method comprises the steps of carrying out primary rotation shooting, shooting a coil below a first rotation line array surface rotation shooting unit, detecting the edge separation defect of the coil, and detecting the defects of line deviation, line sticking weight, no glue of the line, waste materials of the line, two-dimensional code loss and two-dimensional code deviation, wherein the coil needs to be kept vertical for 90 degrees when shooting;
step five: secondary rotation photographing, wherein the coil is rotated above the second rotation photographing unit to photograph, the defect of a circumferential gap of the coil is detected, and the defect is used for detecting the defects of lead dirt, coil dirt, inner lead deformation, coil deformation, outer lead deformation, stripping print, coil crush, R-angle crush, wire jumping, wire breakage and wire twisting;
step six: thirdly, rotating to shoot, namely rotating the coil to a coil above the third rotary shooting unit to shoot, detecting the edge bevel defect of the coil, and detecting the defects of coil scratch, outer lead scattering, inner lead scattering, coil layering, R angle scattering, coil scattering, inner lead layering and outer lead layering;
step seven: the coil is rotated to a blanking mechanism.
According to the technical scheme, the loading and unloading station process flow of the imaging system comprises
Step one, the PC controls the empty tray to move to an unloading position;
secondly, the PC controls the rotary table to move to a discharging position;
step three, the PC informs the robot to take away the material;
step four, the tray is filled with materials;
step five, the tray flows to a stacking unloading station;
and step six, when the stacking unloading disc is full and is stacked with a plurality of trays, the stacking unloading disc is cleared and output.
According to the technical scheme, in the process flow of the loading and unloading station, the two sides of the coil are measured by using the liners and the modules, the measurement precision is guaranteed by adopting M and M ccd, a deep learning algorithm is installed, equipment is controlled by an industrial personal computer, an alarm tower indicates the running condition of the equipment, and the safety interlocking device is a light curtain, so that an operator is far away from a moving shaft to weld a steel frame support.
According to the technical scheme, the control flow of the mechanical arm is
The method comprises the following steps that firstly, the PC controls an empty tray to move to an unloading position, and a contact roller in a clamping groove is used for positioning a pin shaft;
step two, the PC informs the mechanical arm to take materials, and the friction lines on the outer side of the guide frame are used for distinguishing the materials;
step three, the tray is filled with materials, and all the materials are loaded to a proper containing amount by using the tray;
and step four, unloading the material in the tray to a loading and unloading station, and carrying out size-fixing inspection on the coil formed in the step three according to the use requirement.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the coil can be positioned at multiple angles by arranging the measuring mechanism and the rotary photographing unit, the edge break angle defect, the edge removal defect and the winding instability defect of the coil are detected in real time, and the machining defect of the coil is detected by utilizing the mechanical arm in a real-time tracking manner, so that the omnibearing real-time detection is realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic view of the turntable mechanism of the present invention;
FIG. 3 is a schematic view of a partial structure of a rotational photographing unit according to the present invention;
FIG. 4 is a schematic structural diagram of a rotational photographing unit according to the present invention;
FIG. 5 is a schematic structural diagram of a second rotary photographing unit according to the present invention;
FIG. 6 is a schematic diagram of a third structure of the rotary photographing unit according to the present invention;
FIG. 7 is a schematic structural view of a blanking mechanism of the present invention;
FIG. 8 is a schematic view of a partial structure of a robotic arm of the present invention;
in the figure: 1. a feeding mechanism; 2. a measuring mechanism; 3. a blanking mechanism; 21. a buffer tray; 31. a stacking tray; 32. a normal tray; 33. an empty tray; 22. a turntable mechanism; 221. a turntable; 222. a pressing unit; 223. rotating the first photographing unit; 224. rotating the second photographing unit; 225. rotating the photographing unit III; 226. an unloading unit; 227. a loading unit; 2231. a top ram; 2232. a base; 2233. a bottom ram; 2234. a guide piece; 2235. a first backlight; 2236. a ring-shaped lamp I; 2237. taking a picture of the first camera; 2241. a second backlight; 2242. a second annular lamp; 2243. a second camera; 2244. a first lens; 2251. a third backlight; 2252. a second lens; 2253. a third camera; 4. a mechanical arm; 41. a sensor; 42. a suction nozzle; 43. producing a product; 44. a vacuum suction section.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-8, the present invention provides the following technical solutions: to COIL AI outward appearance detection imaging system, including feed mechanism 1, measuring mechanism 2, unloading mechanism 3, its characterized in that: the measuring mechanism 2 comprises a buffer tray 21, a turntable mechanism 22 is arranged on one side of the buffer tray 21, a turntable 221 is arranged on the top of the turntable mechanism 22, a first rotary photographing unit 223 is arranged on the top of the turntable 221, a second rotary photographing unit 224 is arranged on one side of the first rotary photographing unit 223, a third rotary photographing unit 225 is arranged on one side of the second rotary photographing unit 224, an unloading unit 226 is arranged on one side of the third rotary photographing unit 225, a loading unit 227 is arranged on one side of the unloading unit 226, a pressing unit 222 is arranged on one side of the loading unit 227, the feeding mechanism 1 is used for placing materials above a detection table from an initial storage rack, the discharging mechanism 3 is used for discharging coils, the three rotary photographing units are used for carrying out three-time rotary photographing on the coils to realize multi-directional full-angle detection, and compared with a conventional manual detection method, the effect of utilizing photographing for identification, the visual observation is not needed, the accuracy is high, and the method is suitable for mass production;
the first rotary photographing unit 223 comprises a top pressing head 2231, a guide sheet 2234 is arranged at the bottom of the top pressing head 2231, a base 2232 is arranged at the bottom of the guide sheet 2234, a bottom pressing head 2233 is arranged at the bottom of the base 2232, a first backlight 2235 is arranged at the bottom of the first rotary photographing unit 223, a first annular lamp 2236 is arranged at the top of the first backlight 2235, a first photographing head 2237 is arranged at the top of the first annular lamp 2236, the guide sheet 2234 is used for guiding the movement direction of the coil, the operation efficiency is improved, the camera can be always aligned to the coil to be detected in real time, and the first rotary photographing unit is used for detecting the offset problem above the coil;
the second rotary photographing unit 224 comprises a second backlight 2241, a second ring light 2242 is arranged at the bottom of the second backlight 2241, a second photographing head 2243 is arranged at the bottom of the second ring light 2242, a first lens 2244 is arranged at the bottom of the second photographing head 2243, and the second rotary photographing unit is used for detecting gaps wound by coils;
the rotary photographing unit III 225 comprises a backlight III 2251, a lens II 2252 is mounted at the bottom of the backlight III 2251, a photographing head III 2253 is mounted at the bottom of the lens II 2252, and the rotary photographing unit III is used for inspecting the edge defect of the coil;
the coil machining defect detection device is characterized by further comprising a mechanical arm 4, wherein the mechanical arm 4 comprises a vacuum suction part 44, products 43 are mounted at the bottom of the vacuum suction part 44, suction nozzles 42 are uniformly arranged at the bottom of the products 43, a sensor 41 penetrates through the products 43, the mechanical arm is used for detecting the machining defects of the coil in a real-time tracking mode, all-dimensional real-time detection is achieved, in addition, the suction nozzles can be used for sucking the coil with certain force, and the coil is prevented from being damaged;
the blanking mechanism 3 comprises a stacking tray 31, a normal tray 32 is arranged on one side of the stacking tray 31, an empty tray 33 is arranged on one side of the normal tray 32, blanking is distributed in a multi-working condition mode, and the defective coils can be placed above the middle tray, so that the working efficiency of coil blanking can be improved;
the detection process flow of the imaging system comprises
The method comprises the following steps: a robot takes materials, and a mechanical arm is used for taking the coil off a loaded tray and placing the coil on a clamp;
step two: unloading, wherein the coil is unloaded from the clamp by the robot through the clamping device;
step three: pressing, namely placing the coil on a feeding plate, and then pushing the coil of the strip-shaped mechanism into the pressing unit by a person;
step four: the coil below the first rotary line array surface rotary photographing unit 223 is photographed for one-time rotary photographing, the edge of the coil is detected to be separated from the defects and is used for detecting the defects of line deviation, line sticking weight, no glue of the line, waste materials of the line, two-dimensional code loss and two-dimensional code deviation, and the coil needs to be kept vertical for 90 degrees when photographing is conducted;
step five: secondary rotation photographing, wherein the coil is rotated above the second rotation photographing unit 224 to photograph, the defect of a circumferential gap of the coil is detected, and the defect is used for detecting the defects of lead dirt, coil dirt, inner lead deformation, coil deformation, outer lead deformation, stripping print, coil crush, R-angle crush, wire jumping, wire breakage and wire twisting;
step six: thirdly, rotating to shoot, namely rotating the coil above a third 225 rotating and shooting unit to shoot, detecting the edge bevel defect of the coil, and detecting the defects of coil scratch, outer lead scattering, inner lead scattering, coil layering, R angle scattering, coil scattering, inner lead layering and outer lead layering;
step seven: the coil is rotated to a blanking mechanism, the coil can be positioned at multiple angles through the photographing process, the edge break angle defect, the edge removal defect and the winding instability defect of the coil can be detected in real time, and the machining defect of the coil is detected in real time by utilizing a mechanical arm, so that the omnibearing real-time detection is realized;
the process flow of the loading and unloading station of the imaging system comprises
Step one, the PC controls the empty tray to move to an unloading position;
secondly, the PC controls the rotary table 221 to move to the unloading position;
thirdly, the PC informs the robot to take away the materials, when the turnover mechanism moves to the rightmost end, the coils enter the collecting mechanism, and the coils are turned over for 180 degrees and are divided into 90-degree and 180-degree step-by-step working states, so that the coils can be clearly recovered in a distributed manner;
step four, the tray is filled with materials, the lower ends of the coils are turned to the right side, and when the turning mechanism works continuously, adjacent coils can be tightly adsorbed together;
fifthly, enabling the trays to flow to a stacking unloading station, enabling the trays to be placed on the stacking station, stacking the coils until 60 coils are placed, ensuring the alignment of the coil arrangement by the stacking mode, being beneficial to the processing of the coils, and positioning the coils in the turnover frame by the self-locking mechanism during specific work;
step six, the stacking and discharging tray is full, when the stacking and discharging tray is stacked with 60 trays, the output is removed, the automatic stacking and the material loading and unloading can be realized by the loading and unloading mode, and the working efficiency is high;
in the process flow of the loading and unloading station, two sides of a coil are measured by using a liner and a module, the measurement precision is ensured by adopting 25M and 12M ccd, a deep learning algorithm is installed, equipment is controlled by an industrial personal computer, the operation condition of the equipment is indicated by an alarm tower, a safety interlocking device is a light curtain, an operator is far away from a moving shaft, a steel frame support is welded, the loading and unloading process can be improved in real time according to the market demand by the deep learning algorithm, the fitting capability is convenient to improve, the performance is better than that of the traditional machine learning under many conditions, the traditional neural network can solve some problems, but too many parameters are gradually replaced by the convolutional neural network, and the work efficiency can be improved by preferably adopting the convolutional neural network on a mechanical arm;
the control flow of the mechanical arm is
The method comprises the following steps that firstly, the PC controls an empty tray to move to an unloading position, and a contact roller in a clamping groove is used for positioning a pin shaft;
step two, the PC informs the mechanical arm to take materials, and the friction lines on the outer side of the guide frame are used for distinguishing the materials;
step three, the tray is filled with materials, and all the materials are loaded to a proper containing amount by using the tray;
and step four, unloading the material in the tray to a loading and unloading station, and carrying out fixed-size inspection on the coil formed in the step three according to the use requirement, wherein the control mode of the mechanical arm can realize a multi-direction and multi-angle real-time tracking detection mode, so that the real-time adjustment and correction of the coil in a processing state are convenient to realize, and the defect that errors are accumulated to the next process layer by layer is avoided.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. 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. To COIL AI outward appearance detection imaging system, including feed mechanism (1), measuring mechanism (2), unloading mechanism (3), its characterized in that: measuring mechanism (2) is including buffering tray (21), one side of buffering tray (21) is provided with revolving stage mechanism (22), the top of revolving stage mechanism (22) is provided with revolving stage (221), the top of revolving stage (221) is provided with rotatory unit (223) of shooing, one side of rotatory unit (223) of shooing is provided with rotatory unit two (224) of shooing, one side of rotatory unit two (224) of shooing is provided with rotatory unit three (225) of shooing, one side of rotatory unit three (225) of shooing is provided with uninstallation unit (226), one side of uninstallation unit (226) is provided with loading unit (227), one side of loading unit (227) is provided with presses unit (222).
2. The imaging system for COIL AI appearance inspection of claim 1, wherein: the rotary photographing unit I (223) comprises a top pressing head (2231), a guide piece (2234) is arranged at the bottom of the top pressing head (2231), a base (2232) is installed at the bottom of the guide piece (2234), a bottom pressing head (2233) is installed at the bottom of the base (2232), a backlight I (2235) is arranged at the bottom of the rotary photographing unit I (223), an annular lamp I (2236) is arranged at the top of the backlight I (2235), and a photographing head I (2237) is arranged at the top of the annular lamp I (2236).
3. The imaging system for COIL AI appearance inspection of claim 2, wherein: rotatory unit two (224) of shooing is including two (2241) in a poor light, the bottom of two (2241) in a poor light is provided with ring lamp two (2242), the bottom of ring lamp two (2242) is provided with first (2243) of shooing, first lens (2244) are installed to the bottom of first two (2243) of shooing.
4. The imaging system for COIL AI appearance inspection according to claim 3, characterized in that: the rotary photographing unit III (225) comprises a backlight III (2251), a lens II (2252) is mounted at the bottom of the backlight III (2251), and a photographing head III (2253) is mounted at the bottom of the lens II (2252).
5. The imaging system for COIL AI appearance inspection according to claim 4, characterized in that: still include arm (4), arm (4) include vacuum suction portion (44), product (43) are installed to the bottom of vacuum suction portion (44), the bottom of product (43) evenly is provided with suction nozzle (42), the inside of product (43) is run through and is provided with sensor (41).
6. The imaging system for COIL AI appearance inspection according to claim 5, characterized in that: unloading mechanism (3) are including piling up tray (31), the one side of piling up tray (31) is provided with normal tray (32), one side of normal tray (32) is provided with empty tray (33).
7. The imaging system for COIL AI appearance inspection according to claim 6, characterized in that: the detection process flow of the imaging system comprises
The method comprises the following steps: a robot takes materials, and a mechanical arm is used for taking the coil off a loaded tray and placing the coil on a clamp;
step two: unloading, wherein the coil is unloaded from the clamp by the robot through the clamping device;
step three: pressing, namely placing the coil on a feeding plate, and then pushing the coil of the strip-shaped mechanism into the pressing unit by a person;
step four: the coil below the first rotary line array face rotary photographing unit (223) is photographed for one-time rotary photographing, the edge separation defect of the coil is detected, the defects of line deviation, line sticking weight, line glue-free, waste material in line belt, two-dimensional code loss and two-dimensional code deviation are detected, and the coil needs to be kept vertical for 90 degrees when photographing is conducted;
step five: secondary rotation photographing, wherein the coil is rotated above a second rotation photographing unit (224) to photograph, the defect of a circumferential gap of the coil is inspected, and the coil is used for detecting the defects of lead dirt, coil dirt, inner lead deformation, coil deformation, outer lead deformation, stripping print, coil crush, R-angle crush, wire jumping, wire breakage and wire twisting;
step six: thirdly, rotating to shoot, namely rotating the coil to a position above a third (225) of the rotary shooting unit to shoot, detecting the edge corner folding defect of the coil, and detecting the defects of coil scratch, outer lead scattering, inner lead scattering, coil layering, R corner scattering, coil scattering, inner lead layering and outer lead layering;
step seven: the coil is rotated to a blanking mechanism.
8. The imaging system for COIL AI appearance inspection of claim 7, wherein: the process flow of the loading and unloading station of the imaging system comprises
Step one, the PC controls the empty tray to move to an unloading position;
secondly, the PC controls the rotary table (221) to move to a discharging position;
step three, the PC informs the robot to take away the material;
step four, the tray is filled with materials;
step five, the tray flows to a stacking unloading station;
and step six, when the stacking unloading tray is full and is stacked with 60 trays, the stacking unloading tray is cleared and output.
9. The imaging system for COIL AI appearance inspection of claim 8, wherein: in the process flow of the loading and unloading station, the two sides of the coil are measured by using the liner and the module, the measurement precision is guaranteed by adopting 25M and 12M ccd, a deep learning algorithm is installed, equipment is controlled by an industrial personal computer, an alarm tower indicates the running condition of the equipment, and a safety interlocking device is a light curtain, so that an operator is far away from a moving shaft and is supported by a welding steel frame.
10. The imaging system for COIL AI appearance inspection of claim 9, wherein: the control flow of the mechanical arm is
The method comprises the following steps that firstly, the PC controls an empty tray to move to an unloading position, and a contact roller in a clamping groove is used for positioning a pin shaft;
step two, the PC informs the mechanical arm to take materials, and the friction lines on the outer side of the guide frame are used for distinguishing the materials;
step three, the tray is filled with materials, and all the materials are loaded to a proper containing amount by using the tray;
and step four, unloading the material in the tray to a loading and unloading station, and carrying out size-fixing inspection on the coil formed in the step three according to the use requirement.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011502621.1A CN112630150A (en) | 2020-12-18 | 2020-12-18 | Imaging system for COIL AI appearance detection |
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| CN202011502621.1A CN112630150A (en) | 2020-12-18 | 2020-12-18 | Imaging system for COIL AI appearance detection |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09210656A (en) * | 1995-11-28 | 1997-08-12 | Nikon Corp | Inspection system |
| JP2005093792A (en) * | 2003-09-18 | 2005-04-07 | Tdk Corp | Method and device for visual inspection and integration of coil component |
| CN110369334A (en) * | 2019-08-06 | 2019-10-25 | 深圳市新晨芯科技有限公司 | Mobile lens photography detection device |
| CN111701884A (en) * | 2020-07-02 | 2020-09-25 | 武汉森赛睿科技有限公司 | Converging type sucking disc ceramic flaw detection device |
| CN111804621A (en) * | 2020-07-17 | 2020-10-23 | 湖南红太阳光电科技有限公司 | Battery piece testing and sorting equipment |
-
2020
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09210656A (en) * | 1995-11-28 | 1997-08-12 | Nikon Corp | Inspection system |
| JP2005093792A (en) * | 2003-09-18 | 2005-04-07 | Tdk Corp | Method and device for visual inspection and integration of coil component |
| CN110369334A (en) * | 2019-08-06 | 2019-10-25 | 深圳市新晨芯科技有限公司 | Mobile lens photography detection device |
| CN111701884A (en) * | 2020-07-02 | 2020-09-25 | 武汉森赛睿科技有限公司 | Converging type sucking disc ceramic flaw detection device |
| CN111804621A (en) * | 2020-07-17 | 2020-10-23 | 湖南红太阳光电科技有限公司 | Battery piece testing and sorting equipment |
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Application publication date: 20210409 |