CN114926467B - Full-automatic lead frame counting method and device - Google Patents
Full-automatic lead frame counting method and device Download PDFInfo
- Publication number
- CN114926467B CN114926467B CN202210865138.2A CN202210865138A CN114926467B CN 114926467 B CN114926467 B CN 114926467B CN 202210865138 A CN202210865138 A CN 202210865138A CN 114926467 B CN114926467 B CN 114926467B
- Authority
- CN
- China
- Prior art keywords
- image
- lead frame
- counting
- belt system
- areas
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000000873 masking effect Effects 0.000 claims abstract description 6
- 238000009499 grossing Methods 0.000 claims abstract description 4
- 239000000463 material Substances 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 7
- 238000012946 outsourcing Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 230000001502 supplementing effect Effects 0.000 description 3
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 239000010931 gold Substances 0.000 description 2
- 229910052737 gold Inorganic materials 0.000 description 2
- 241001085205 Prenanthella exigua Species 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- UCHOFYCGAZVYGZ-UHFFFAOYSA-N gold lead Chemical compound [Au].[Pb] UCHOFYCGAZVYGZ-UHFFFAOYSA-N 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- BSIDXUHWUKTRQL-UHFFFAOYSA-N nickel palladium Chemical compound [Ni].[Pd] BSIDXUHWUKTRQL-UHFFFAOYSA-N 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Image Processing (AREA)
Abstract
The invention relates to the field of lead frame counting, in particular to a full-automatic lead frame counting method and device. The full-automatic lead frame counting method comprises the following steps of counting common lead frames: 1-1: acquiring an initial image of a lead frame; 1-2: carrying out image masking on the initial image, and then carrying out linear smoothing on the image to obtain a preprocessed image; 1-3: converting the preprocessed three-channel images into an R image, a G image and a B image respectively; 1-4: calculating the mean value and the variance of the R image, zooming the R image, and subtracting the B image from the zoomed image to obtain a sharpened image; 1-5: the method and the device have the advantages that the lead frame area is divided, the divided areas are subjected to expansion treatment, the unconnected areas are divided into independent areas, the lead frame is selected according to the height characteristics of the areas, and counting is carried out.
Description
Technical Field
The invention relates to the field of lead frame counting, in particular to a full-automatic lead frame counting method and device.
Background
The metal lead frame counting is operated by 75 common sheets/boxes from the initial manual turning counting one by one, the counting time is long, product defects such as product dirt, abrasion and the like are easily increased manually in the counting process, and counting errors can be caused along with the increase of fatigue. With the increase of the product yield, a weighing mode is gradually selected, the weight of a standard number of pieces is firstly weighed for each type, then products of the same type are sequentially weighed, if the weights are the same, the products are qualified and different, and then manual reinspection is carried out. This approach appears to reduce the count time, but since the monolithic lead frame is relatively light, there is often an error of one or two pieces, plus the review time, the total time is not reduced. In view of the former two traditional ways, in the artificial intelligence era, there is a novel check out test set, with the help of machine vision detecting system, has realized semi-automatic count, but is not high to the lead frame count degree of accuracy of polytypic. Therefore, an efficient and fully automatic lead frame counting system for multi-type lead frames is needed.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the device overcome the defects of the prior art and are suitable for various types of full-automatic lead frame counting methods and devices with accurate counting.
The technical scheme adopted by the invention for solving the technical problem is as follows: the full-automatic lead frame counting method comprises the following steps of counting common lead frames:
1-1: a lead frame counting device acquires an initial image of a common lead frame;
1-2: carrying out image masking on the initial image, and then carrying out linear smoothing on the image to obtain a preprocessed image;
1-3: converting the preprocessed three-channel image into three images, namely an R image, a G image and a B image;
1-4: calculating the mean value and the variance of the R image, zooming the R image, and then performing image subtraction on the zoomed R image and the B image to obtain a sharpened image;
1-5: dividing lead frame regions, expanding the divided regions, dividing the unconnected regions into separate regions, selecting lead frames according to the region height characteristics, and counting.
In step 1-2, each pixel in the image is scanned with a 5 by 5 rectangular mask.
In the steps 1-5, the area with the gray value larger than 70 is a lead frame area;
polygonal contour ModeRow for expansion processing: = [0,0, 80, 80,0], modeCol: anding the structural elements with the divided areas, wherein if the structural elements are all 0, the pixels of the image are 0, and otherwise, the structural elements are 1;
the unconnected areas are divided into separate areas, the height of the areas between 300-9999 pixels is judged as a lead frame, and counted.
The method also comprises the step of counting the nickel palladium gold lead frames, wherein the counting step comprises the following steps:
2-1: acquiring an initial image of the nickel-palladium-gold lead frame;
2-2: performing mean operation on the initial image, filtering to obtain a filtered image, and subtracting the filtered image from the mean image to obtain a difference image;
2-3: performing image masking operation on the image;
2-4: dividing lead frame areas, expanding the divided areas, calculating a minimum outsourcing rectangle which returns to the input area and is parallel to a coordinate system, framing the lead frame areas according to the minimum outsourcing rectangle, expanding the lead frame areas, separating each lead frame, selecting shapes and counting.
In step 2-3, each pixel in the image is scanned using three masks, 11 x 17, 11 x 99.
In the step 2-4, the area with the gray value larger than 220 is determined as a lead frame area;
after the expansion processing is carried out on the 999 × 33 structure, the coordinates of the center point of the region and the coordinates of the lower right corner of the region are obtained through a visual library operator smallest _ rectangle 1.
The full-automatic lead frame counting device applied to the full-automatic lead frame counting method comprises a conveyor belt system for conveying lead frames, wherein one end of the conveyor belt system is provided with an upper rack device for conveying the lead frames to be counted to the conveyor belt system, the other end of the conveyor belt system is provided with a lower rack device for receiving the counted lead frames, one side of the conveyor belt system is provided with a lead frame counting device, and the lead frame counting device is used for acquiring initial images of the lead frames conveyed on the conveyor belt system and counting the initial images;
the lead frame counting device comprises a fixed bottom plate which is fixedly arranged, a camera is arranged above the fixed bottom plate towards the conveying belt system, and a coaxial light source is arranged in front of a lens of the camera;
a detection sensor for detecting the lead frame box is arranged on the coaxial light source;
the system also comprises an industrial personal computer, wherein the camera and the detection sensor are electrically connected with the industrial personal computer, and the industrial personal computer and the camera are connected with a power supply;
the industrial personal computer is electrically connected with the conveying belt system.
The rack loading device comprises a rack loading bottom plate, a material box supporting table is arranged above the rack loading bottom plate, the upper side of the material box supporting table is flush with the conveying belt system, an inductor used for inducing the lead frame is arranged on one side of the material box supporting table, and a three-axis manipulator used for righting the lead frame is arranged above the material box supporting table;
a feeding conveyor belt is arranged on one side, away from the conveyor belt system, of the material box support platform;
the industrial personal computer is electrically connected with the sensor, the three-axis manipulator and the feeding conveyor belt.
The lower frame device comprises an electric sliding table fixedly arranged on a lower frame bottom plate, a movable platen of the electric sliding table is fixedly connected with a lifting cylinder, and a piston rod of the lifting cylinder is fixedly connected with a material receiving bearing box for receiving a lead frame box;
one end of the conveying belt system, which is close to the lower frame device, is provided with a lower frame sensor for detecting the position of the lead frame box;
and the electric sliding table, the lifting cylinder, the lower frame sensor and the industrial personal computer are electrically connected.
A feeding device is arranged on one side of the conveyor belt system and is positioned on one side, close to the lower frame device, of the lead frame counting device;
the feeding device comprises a feeding bottom plate, a grabbing manipulator is arranged on the feeding bottom plate, and a lead frame bearing box is arranged on the feeding bottom plate corresponding to the grabbing manipulator;
the industrial personal computer is electrically connected with the grabbing manipulator.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a full-automatic lead frame counting method, which completely liberates manpower; and by adopting visual detection, the counting accuracy is improved, and the production efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of the present invention.
Fig. 2 is a schematic structural view of the lead frame counting device of the present invention.
Fig. 3 is a schematic structural diagram of the racking device of the present invention.
FIG. 4 is a schematic view of the structure of the lower rack device of the present invention.
FIG. 5 is a schematic view of the feeding apparatus of the present invention.
Fig. 6 is a schematic diagram of a generic lead frame analysis of the present invention.
FIG. 7 is an analysis diagram of a NiPdAu lead frame according to the invention.
In the figure: 1. a racking device; 101. an upper frame bottom plate; 102. a magazine support table; 103. an inductor; 104. a three-axis manipulator; 105. a feeding conveyor belt; 2. a racking device; 201. a lower frame bottom plate; 202. an electric sliding table; 203. a receiving bearing box; 204. a lifting cylinder; 205. a lower rack sensor; 3. a conveyor belt system; 4. a lead frame counting device; 401. fixing the bottom plate; 402. a power source; 403. a camera; 404. supporting the upright post; 405. an industrial personal computer; 406. a lens; 407. a coaxial light source; 5. a material supplementing device; 501. a replenishing base plate; 502. a grabbing manipulator; 503. a lead frame carrying case.
Detailed Description
Embodiments of the invention are further described below with reference to the accompanying drawings:
as shown in fig. 1 to 7, the full-automatic lead frame counting is applied to a full-automatic lead frame counting device, the full-automatic lead frame counting device includes a conveyor belt system 3 for conveying lead frames, an upper frame device 1 for conveying lead frames to be counted to the conveyor belt system 3 is arranged at one end of the conveyor belt system 3, a lower frame device 2 for receiving the counted lead frames is arranged at the other end of the conveyor belt system 3, a lead frame counting device 4 is arranged at one side of the conveyor belt system 3, and the lead frame counting device 4 is used for acquiring initial images of the lead frames conveyed on the conveyor belt system 3 for counting;
the full-automatic lead frame counting method comprises the following steps of counting common lead frames:
1-1: the lead frame counting device 4 acquires an initial image of a common lead frame;
1-2: an image mask is applied to the initial image, specifically, each pixel in the image is scanned with a 5 by 5 rectangular mask. Then, performing linear smoothing on the image to obtain a preprocessed image;
1-3: converting the preprocessed three-channel image into three images, namely an R image, a G image and a B image;
1-4: calculating the mean value and the variance of the R image, zooming the R image, and then carrying out image subtraction on the zoomed R image and the B image to obtain a sharpened image; for example, the mean value of the R image is calculated to be 96.2607 and the variance is calculated to be 79.0828, the R image is scaled by a scale _ filtered image _ range operator, the parameter values are 0.2 × mean and 255 to obtain RScaled, and the filtered image Sub sharpened image is obtained by using the difference between the RScaled and the B image.
1-5: dividing lead frame regions, expanding the divided regions, dividing the unconnected regions into separate regions, selecting lead frames according to the region height characteristics, and counting.
In the step 1-5, the area with the gray value larger than 70 is divided into a lead frame area; polygonal profile for expansion processing ModeRow: = [0,0, 80, 80,0], modeCol: anding the structural elements with the divided areas, wherein if the structural elements are all 0, the pixels of the image are 0, and otherwise, the structural elements are 1; modeRow and ModeCol create polygon profile parameters without rounded corners for gen _ contour _ polygon _ xld, with coordinates specified in the form of an array, row coordinates placed in the ModeRow array, and column coordinates placed in the ModeCol array. The first and last values of the coordinate array are the same to form a closed polygon outline.
The unconnected areas are divided into separate areas, the height of the areas between 300-9999 pixels is judged as a lead frame, and counted.
Referring to fig. 6 and 7, the common lead frame is silver-plated, and needs to be plated with tin after being packaged, the camera takes a gold picture, while the nickel-palladium-gold lead frame is plated with nickel-palladium-gold, and does not need to be plated with tin after being packaged, and the camera takes a bright white picture. The two images are very different, so the two algorithms are used for processing.
Counting the nickel-palladium-gold lead frames, wherein the counting steps are as follows:
2-1: acquiring an initial image of the nickel-palladium-gold lead frame;
2-2: performing mean operation on the initial image, filtering to obtain a filtered image, and subtracting the filtered image from the mean image to obtain a difference image;
2-3: performing an image masking operation on the image, specifically, scanning each pixel in the image with three masks, 11 × 17, 11 × 99;
2-4: dividing lead frame areas, expanding the divided areas, calculating a minimum outsourcing rectangle which returns to the input area and is parallel to a coordinate system, framing the lead frame areas according to the minimum outsourcing rectangle, expanding the lead frame areas, separating each lead frame, selecting shapes and counting.
In the step 2-4, the area with the gray value larger than 220 is judged as a lead frame area;
and after expansion processing is carried out on the 999-33 structure, the coordinates of the center point of the area and the coordinates of the lower right corner of the area are obtained through a visual library operator smallest _ rectangle 1.
The lead frame counting device 4 comprises a fixed bottom plate 401 which is fixedly arranged, the fixed bottom plate 401 is fixedly connected with a conveying frame of the conveying belt system in a welding mode and the like, a camera 403 is arranged above the fixed bottom plate 401 towards the conveying belt system 3, and a coaxial light source 407 is arranged in front of a lens 406 of the camera 403;
a detection sensor (not shown) for detecting the lead frame box is arranged on the coaxial light source 407;
the device comprises a camera 403, a detection sensor, an industrial personal computer 405, a power supply 402, a power supply controller and a power supply controller, wherein the camera 403 and the detection sensor are electrically connected with the industrial personal computer 405;
the industrial personal computer 405 is electrically connected with the conveyor belt system 3. Referring to fig. 2, a support column 404 is welded on a fixed base plate 401, an industrial personal computer 405 is fixedly connected with the top of the support column 404, and a power source 402 is fixed on the fixed base plate 401 and supplies power to a camera 403 and the industrial personal computer 405. The conveying speed and the conveying state of the conveyor belt system 3 are controlled by an industrial personal computer. After detecting that the lead frame box reaches the coaxial light source 407, the detection sensor sends a signal to the industrial personal computer 405, and the industrial personal computer 405
The conveyor belt system 3 is controlled to pause, and photographing and counting analysis are carried out through the camera 403; and after the analysis result is obtained, controlling the conveyor belt system 3 to continuously operate.
In operation, the camera is focused in advance according to the product model, and then enters a counting mode. The industrial personal computer 405 displays the analysis result through a display screen.
The racking device 1 comprises a racking baseplate 101, a material box supporting table 102 is arranged above the racking baseplate 101, the upper part of the material box supporting table 102 is flush with the conveying belt system 3, an inductor 103 for inducing a lead frame is arranged on one side of the material box supporting table 102, and a three-axis manipulator 104 for righting the lead frame is arranged above the material box supporting table 102;
a feeding conveyor belt 105 is arranged on one side of the material box support platform 102 far away from the conveyor belt system 3;
the industrial personal computer 405 is electrically connected with the inductor 103, the three-axis manipulator 104 and the feeding conveyor belt 105. Referring to fig. 3, the leadframe cassettes with the leadframes are placed on the feeding conveyor 105 and conveyed to the magazine support 102, the sensor 103 sends a signal to the industrial computer 405 after sensing the leadframe cassettes, the leadframe cassettes on the magazine support 102 are aligned by the three-axis robot 104, and the aligned leadframe cassettes are pushed by the subsequent leadframe cassettes to enter the conveyor system 3 and move toward the leadframe counting device 4 along with the conveyor system 3. Referring to fig. 1 and 3, in the present application, the feeding conveyor 105 is provided in two rows, and the magazine support 102 is also provided in two rows corresponding to the feeding conveyor 105, wherein one row is aligned with the conveyor system 3, and the other magazine support is provided with a pushing cylinder on a side away from the conveyor system 3 for pushing the current lead frame magazine towards the magazine support 102 aligned with the conveyor system 3. The pushing cylinder is connected with the industrial personal computer 405, the sensor 103 senses the position of the lead frame box, the lead frame box is pushed to the row of the material box supporting tables 102 aligned with the conveyor belt system 3 through the pushing cylinder, and then the lead frame box moves to the conveyor belt system 3 along with the pushing action of the subsequent lead frame box and moves to the lead frame counting device 4.
The lower frame device 2 comprises an electric sliding table 202 fixedly arranged on a lower frame bottom plate 201, a movable platen of the electric sliding table 202 is fixedly connected with a lifting cylinder 204, and a piston rod of the lifting cylinder 204 is fixedly connected with a material receiving bearing box 203 for receiving a lead frame box;
one end of the conveyor belt system 3 close to the lower frame device 2 is provided with a lower frame sensor 205 for detecting the position of the lead frame box;
the electric sliding table 202, the lifting cylinder 204 and the lower frame sensor 205 are electrically connected with the industrial personal computer 405.
Referring to fig. 4, in the present application, two sets of receiving boxes 203 are disposed on the electric sliding table 202 for receiving lead frame boxes, and the receiving boxes 203 are disposed in two sets or in multiple sets, and are controlled by the electric sliding table 202 to correspond to the conveying belt system, so as to receive the lead frame boxes with correct counting. Every receipts are received and are born the lead frame box quantity that box 203 can bear and be certain, and industrial computer 405 detects the interior correct back of lead frame box, through the receiving material that 3 input of conveyer belt system correspond bear in the box 203 to the count, and after reaching a certain quantity, industrial computer 405 control electronic slip table 202 removes, and another receives the material and bears box 203 and conveyer belt system 3 and correspond, and the staff or utilize the manipulator to take out the lead frame box from the receiving material that will shift out bears the box 203 this moment.
Referring to fig. 5, a feeding device 5 is arranged on one side of the conveyor belt system 3, and the feeding device 5 is positioned on one side of the lead frame counting device 4 close to the lower rack device 2;
the feeding device 5 comprises a feeding bottom plate 501, a grabbing manipulator 502 is arranged on the feeding bottom plate 501, and a lead frame bearing box 503 is arranged on the feeding bottom plate 501 corresponding to the grabbing manipulator 502;
the industrial personal computer 405 is electrically connected with the grabbing manipulator 502. The number of lead frames in each lead frame box is preset in the industrial personal computer 405. Because the distance between the lead frame counting device 4 and the material supplementing device 5 is fixed, and the time from the lead frame box passing through the lead frame counting device 4 to the material supplementing device 5 is relatively fixed, after the lead frame counting device 4 detects a counting result, the industrial personal computer 405 sends a signal to the grabbing manipulator 502, the grabbing manipulator 502 grabs redundant lead frames to be placed in the current lead frame box or grabs redundant lead frames from the current lead frame box to be placed in the lead frame bearing box 503, and the consistency between the number in each lead frame box and a set value is ensured.
Claims (9)
1. The full-automatic lead frame counting method is characterized by comprising a conveying belt system (3) for conveying lead frames, wherein one end of the conveying belt system (3) is provided with an upper rack device (1) for conveying the lead frames to be counted to the conveying belt system (3), the other end of the conveying belt system (3) is provided with a lower rack device (2) for receiving the counted lead frames, one side of the conveying belt system (3) is provided with a lead frame counting device (4), and the lead frame counting device (4) is used for acquiring initial images of the lead frames conveyed on the conveying belt system (3) and counting the initial images;
the lead frame counting device (4) comprises a fixed bottom plate (401) which is fixedly arranged, a camera (403) is arranged above the fixed bottom plate (401) and faces the conveyor belt system (3), and a coaxial light source (407) is arranged in front of a lens (406) of the camera (403);
a detection sensor for detecting the lead frame box is arranged on the coaxial light source (407);
the device is characterized by further comprising an industrial personal computer (405), wherein the camera (403) and the detection sensor are electrically connected with the industrial personal computer (405), and the industrial personal computer (405) and the camera (403) are connected with the power supply (402);
the industrial personal computer (405) is electrically connected with the conveying belt system (3);
the counting method of the full-automatic lead frame counting device comprises the following steps of counting common lead frames:
1-1: a lead frame counting device (4) acquires an initial image of a lead frame;
1-2: carrying out image masking on the initial image, and then carrying out linear smoothing on the image to obtain a preprocessed image;
1-3: converting the preprocessed three-channel image into three images, namely an R image, a G image and a B image;
1-4: calculating the mean value and the variance of the R image, zooming the R image, and then carrying out image subtraction on the zoomed R image and the B image to obtain a sharpened image;
1-5: dividing lead frame regions, expanding the divided regions, dividing the unconnected regions into separate regions, selecting lead frames according to the region height characteristics, and counting.
2. The method according to claim 1, wherein in step 1-2, each pixel in the image is scanned with a 5-by-5 rectangular mask.
3. The method according to claim 1, wherein in the steps 1-5, the area with the gray value greater than 70 is the lead frame area;
polygonal profile for expansion processing ModeRow: = [0, 80,0], modeCol: anding the structural elements with the divided regions by = 0,5, 0, if both are 0, the pixel of the image is 0, otherwise, the pixel is 1;
the unconnected areas are divided into separate areas, the height of the areas is judged as a lead frame between 300-9999 pixels, and the number is counted.
4. The method of claim 1, further comprising counting the ni-pd-au lead frames by the steps of:
2-1: acquiring an initial image of a lead frame;
2-2: performing mean operation on the initial image, filtering to obtain a filtered image, and subtracting the filtered image from the mean image to obtain a difference image;
2-3: performing image masking operation on the image;
2-4: dividing lead frame areas, expanding the divided areas, calculating a minimum outsourcing rectangle which returns to the input area and is parallel to a coordinate system, framing the lead frame areas according to the minimum outsourcing rectangle, expanding the lead frame areas, separating each lead frame, selecting shapes and counting.
5. The method according to claim 4, wherein in step 2-3, each pixel in the image is scanned with three masks, 11 x 17, 11 x 99.
6. The method according to claim 4, wherein in the step 2-4, the area with the gray scale value greater than 220 is determined as the lead frame area;
and after expansion processing is carried out on the 999-33 structure, the coordinates of the center point of the area and the coordinates of the lower right corner of the area are obtained through a visual library operator smallest _ rectangle 1.
7. The full-automatic lead frame counting device according to claim 1, wherein the racking device (1) comprises a racking bottom plate (101), a magazine supporting table (102) is arranged above the racking bottom plate (101), the magazine supporting table (102) is flush with the conveyor belt system (3), an inductor (103) for inducing the lead frames is arranged on one side of the magazine supporting table (102), and a three-axis manipulator (104) for aligning the lead frames is arranged above the magazine supporting table (102);
a feeding conveyor belt (105) is arranged on one side, away from the conveyor belt system (3), of the material box support platform (102);
the industrial personal computer (405) is electrically connected with the sensor (103), the three-axis manipulator (104) and the feeding conveyor belt (105).
8. The full-automatic lead frame counting device according to claim 1, characterized in that the lower frame device (2) comprises an electric sliding table (202) fixedly arranged on a lower frame bottom plate (201), a moving platen of the electric sliding table (202) is fixedly connected with a lifting cylinder (204), and a piston rod of the lifting cylinder (204) is fixedly connected with a receiving bearing box (203) for receiving the lead frame box;
one end of the conveyor belt system (3) close to the lower frame device (2) is provided with a lower frame sensor (205) for detecting the position of the lead frame box;
and the electric sliding table (202), the lifting cylinder (204) and the lower frame sensor (205) are electrically connected with the industrial personal computer (405).
9. The fully automatic lead frame counting device according to claim 1, characterized in that a feeding device (5) is arranged on one side of the conveyor belt system (3), and the feeding device (5) is arranged on one side of the lead frame counting device (4) close to the lower rack device (2);
the feeding device (5) comprises a feeding bottom plate (501), a grabbing manipulator (502) is arranged on the feeding bottom plate (501), and a lead frame bearing box (503) is arranged on the feeding bottom plate (501) corresponding to the grabbing manipulator (502);
the industrial personal computer (405) is electrically connected with the grabbing manipulator (502).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210865138.2A CN114926467B (en) | 2022-07-22 | 2022-07-22 | Full-automatic lead frame counting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210865138.2A CN114926467B (en) | 2022-07-22 | 2022-07-22 | Full-automatic lead frame counting method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114926467A CN114926467A (en) | 2022-08-19 |
| CN114926467B true CN114926467B (en) | 2022-10-21 |
Family
ID=82815688
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210865138.2A Active CN114926467B (en) | 2022-07-22 | 2022-07-22 | Full-automatic lead frame counting method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114926467B (en) |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4040611B2 (en) * | 2004-07-29 | 2008-01-30 | キヤノン株式会社 | Image forming apparatus |
| US9092675B2 (en) * | 2012-03-29 | 2015-07-28 | The Nielsen Company (Us), Llc | Methods and apparatus to count people in images |
| US10552933B1 (en) * | 2015-05-20 | 2020-02-04 | Digimarc Corporation | Image processing methods and arrangements useful in automated store shelf inspections |
| CN108804992B (en) * | 2017-05-08 | 2022-08-26 | 电子科技大学 | Crowd counting method based on deep learning |
| CN113269745A (en) * | 2021-05-21 | 2021-08-17 | 燕山大学 | Aerial photography automobile counting method based on OpenCv |
| CN114047125A (en) * | 2021-10-29 | 2022-02-15 | 中山品高电子材料有限公司 | Real-time high-speed 3D appearance image detection system for lead frame and working method thereof |
-
2022
- 2022-07-22 CN CN202210865138.2A patent/CN114926467B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN114926467A (en) | 2022-08-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109060827B (en) | Intelligent visual detection and identification equipment | |
| CN106670127B (en) | Full-automatic visual inspection system of screen defect | |
| CN107402216B (en) | Film-coated product detection system and method | |
| JP7055212B2 (en) | How to inspect masks online | |
| JP7055223B2 (en) | Mask defect inspection method | |
| KR101256369B1 (en) | Flat display pannel test equipment and test method using multi ccd camera | |
| CN114529510B (en) | Automatic detection and classification method for cathode copper on-line quality | |
| CN209961700U (en) | High-precision intelligent image visual detection device | |
| CN106000903B (en) | A kind of non-contact detection system and method for being used to detect loom cloth gripper edge gap | |
| US11378520B2 (en) | Auto focus function for vision inspection system | |
| CN115610997A (en) | Full-automatic integrated board card burning and testing machine and method | |
| CN114926467B (en) | Full-automatic lead frame counting method and device | |
| CN113953208B (en) | Full-automatic sorting device and method for electronic components | |
| CN110646436B (en) | Detection marking equipment and detection method for defects in solar crystal column | |
| KR100277725B1 (en) | Automatic insertion / removal method and device of image display device | |
| CN211989743U (en) | Cylindrical workpiece detection platform | |
| CN212083460U (en) | Automatic change detecting system | |
| CN113900270A (en) | Precision positioning equipment and automatic optical axis precision positioning method | |
| KR100249844B1 (en) | Ic leadframe automatic inspection system and operating method | |
| CN217878921U (en) | Hydroecium vision inspection machine | |
| CN118122654B (en) | Visual defect detection-based insulating end plate appearance detection equipment and process | |
| CN218835260U (en) | Device for automatically detecting, screening and packaging abnormity | |
| CN116798899B (en) | Array position detection device for chip sealing and detection and application method thereof | |
| CN212460208U (en) | Precision positioning equipment | |
| CN217638757U (en) | Photovoltaic crystal silicon battery piece basket of flowers visual detection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |