CN114187596A - Chip surface character detection system - Google Patents
Chip surface character detection system Download PDFInfo
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- CN114187596A CN114187596A CN202210135731.1A CN202210135731A CN114187596A CN 114187596 A CN114187596 A CN 114187596A CN 202210135731 A CN202210135731 A CN 202210135731A CN 114187596 A CN114187596 A CN 114187596A
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- 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
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- 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
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- 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
- B07C2301/00—Sorting according to destination
- B07C2301/0008—Electronic Devices, e.g. keyboard, displays
Abstract
The invention discloses a chip surface character detection system, and relates to the technical field of chip production and testing, so as to realize automatic sorting of chips and improve the production and testing efficiency of the chips. The system includes a character recognition device, a first transfer device, a second transfer device, and a control device. The control device is used for controlling the first conveying device to convey the chip to the identification area of the character identification device according to the preset conveying speed. The control device is also used for controlling the character recognition device to acquire a first image of the characters on the surface of the chip in the recognition area according to a preset recognition rate. The character recognition device is used for sequentially carrying out image binarization processing and image segmentation on the first image to obtain a plurality of character areas, respectively matching the plurality of character areas with a preset character template, and determining surface character detection information of the chip. The control device is used for controlling the second conveying device to convey the chip to the target position according to the surface character detection information.
Description
Technical Field
The invention relates to the technical field of chip production testing, in particular to a chip surface character detection system.
Background
Chips are a general term for semiconductor device products, which are essentially integrated circuits, and are a miniaturized way of collectively manufacturing circuits on the surface of a semiconductor wafer. The most advanced integrated circuits are the cores of microprocessors or multi-core processors, which can control computers, cell phones and various home intelligent devices. Therefore, the development of chips has also directly determined the development of smart devices. In the production and manufacturing process of the chip, a silk-screen image is added on the surface of the chip, and the silk-screen image generally represents the manufacturer name code, the chip model code, the version, the internal code, the factory date or the factory batch of the chip.
Under the background of increasing the chip research and development production investment in China, the automation degree of chip production testing is also improved. However, at present, in the process of chip production and test, chips still need to be sorted manually, and chips of different models and versions are distinguished by naked eyes, so that the production and test efficiency of the chips is low, the labor cost is high, and the large-scale automatic production of the chips is restricted.
Disclosure of Invention
The invention aims to provide a chip surface character detection system to realize automatic chip sorting and improve the production test efficiency of chips.
The invention provides a chip surface character detection system. The system comprises: the character recognition device, the first transmission device, the second transmission device and the control device are respectively connected with the character recognition device, the first transmission device and the second transmission device in a communication mode.
The control device is used for controlling the first conveying device to convey the chip to the identification area of the character identification device according to the preset conveying speed.
The control device is also used for controlling the character recognition device to acquire a first image of the characters on the surface of the chip in the recognition area according to a preset recognition rate. The character recognition device is used for sequentially carrying out image binarization processing and image segmentation on the first image to obtain a plurality of character areas, respectively matching the plurality of character areas with a preset character template, and determining surface character detection information of the chip.
The control device is used for controlling the second conveying device to convey the chip to the target position according to the surface character detection information.
Under the condition of adopting the technical scheme, the control device is respectively in communication connection with the character recognition device, the first transmission device and the second transmission device. Based on this, the control means may control the first transfer means to transfer the chip to the recognition area of the character recognition means at a preset transfer rate. The control means may further control the character recognition means to acquire the first image of the characters of the on-chip surface of the recognition area at a preset recognition rate. The character recognition device obtains a plurality of character areas after sequentially carrying out image binarization processing and image segmentation on the first image, matches the plurality of character areas with a preset character template respectively, and determines surface character detection information of the chip. The control means may also control the second transfer means to transfer the chip to the target position based on the surface character detection information. Compared with the prior art that the chips need to be sorted manually, the chips of different models and versions are distinguished by naked eyes, the automatic chip sorting device can replace manual work with machinery, and the first conveying device, the character recognition device and the second conveying device are controlled by the control device, so that the automatic chip sorting is realized, the labor cost is reduced, and the chip sorting accuracy can be improved. In addition, in the detection process of the characters on the surface of the chip, the chip is conveyed and sorted by adopting machinery in the whole process, so that the production test efficiency of the chip can be improved, and further, the large-scale automatic production of the chip 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 invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a chip surface character detection system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a control device according to an embodiment of the present invention.
Description of the drawings:
10-chip surface character detection system, 11-control device,
12-first conveying means, 13-character recognition means,
14-second conveying means, 15-diffuse light sources,
121-transport tray, 122-transport mechanism,
131-an image acquisition module, 132-a character recognition module,
1321-an image pre-processing sub-module, 1322-an image segmentation sub-module,
1323-character recognition sub-module, 200-control device,
210-a first processor, 220-a memory,
230-communication interface, 240-communication line,
250-a second processor.
Detailed Description
In order to facilitate clear description of technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. For example, the first threshold and the second threshold are only used for distinguishing different thresholds, and the sequence order of the thresholds is not limited. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.
It is to be understood that the terms "exemplary" or "such as" are used herein to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a and b combination, a and c combination, b and c combination, or a, b and c combination, wherein a, b and c can be single or multiple.
Chips are a general term for semiconductor device products, which are essentially integrated circuits, and are a miniaturized way of collectively manufacturing circuits on the surface of a semiconductor wafer. The most advanced integrated circuits are the cores of microprocessors or multi-core processors, which can control computers, cell phones and various home intelligent devices. Therefore, the development of chips has also directly determined the development of smart devices. In the production and manufacturing process of the chip, a silk-screen image is added on the surface of the chip, and the silk-screen image generally represents the manufacturer name code, the chip model code, the version, the internal code, the factory date or the factory batch of the chip.
Under the background of increasing the chip research and development production investment in China, the automation degree of chip production testing is also improved. However, at present, in the process of chip production and test, chips still need to be sorted manually, and chips of different models and versions are distinguished by naked eyes, so that the production and test efficiency of the chips is low, the labor cost is high, and the large-scale automatic production of the chips is restricted.
In order to solve the above problems, an embodiment of the present invention provides a chip surface character detection system 10, so as to implement automatic sorting of chips and improve the production test efficiency of chips.
Fig. 1 illustrates a schematic structural diagram of a chip surface character detection system 10 according to an embodiment of the present invention.
As shown in fig. 1, the system includes: a character recognition device 13, a first transmission device 12, a second transmission device 14 and a control device 11 which is respectively connected with the character recognition device 13, the first transmission device 12 and the second transmission device 14 in a communication way.
The control means 11 is adapted to control the first transfer means 12 to transfer the chips to the recognition area of the character recognition means 13 at a preset transfer rate.
The control means 11 is further adapted to control the character recognition means 13 to obtain a first image of the characters of the on-chip surface of the recognition area at a preset recognition rate. The character recognition device 13 is configured to perform image binarization processing and image segmentation on the first image in sequence to obtain a plurality of character regions, match the plurality of character regions with a preset character template, and determine surface character detection information of the chip.
The control device 11 is used for controlling the second conveying device 14 to convey the chip to the target position according to the surface character detection information.
With the above-described technical solution, the control device 11 is in communication connection with the character recognition device 13, the first transmission device 12 and the second transmission device 14, respectively. Based on this, the control device 11 can control the first transfer device 12 to transfer the chips to the recognition area of the character recognition device 13 at a preset transfer rate. The control means 11 may also control the character recognition means 13 to acquire the first image of the characters of the on-chip surface of the recognition area at a preset recognition rate. The character recognition device 13 obtains a plurality of character areas after sequentially performing image binarization processing and image segmentation on the first image, and matches the plurality of character areas with a preset character template respectively to determine surface character detection information of the chip. The control means 11 may also control the second transfer means 14 to transfer the chip to the target position based on the surface character detection information. Compared with the prior art that the chips need to be sorted manually, and the chips of different models and versions are distinguished by naked eyes, the chip sorting device can replace manual work with machinery, and the first conveying device 12, the character recognition device 13 and the second conveying device 14 are controlled by the control device 11, so that the chips are automatically sorted, the labor cost is reduced, and the chip sorting accuracy can be improved. In addition, in the detection process of the characters on the surface of the chip, the embodiment of the invention adopts machinery to transmit and sort the chip in the whole process, so that the production test efficiency of the chip can be improved, and further the large-scale automatic production of the chip is realized.
In the above-described embodiment, the preset transfer rate is matched with the preset recognition rate.
In an actual process, before the characters on the upper surface of the chip are identified, a preset transmission rate and a preset identification rate can be set in advance, wherein the preset transmission rate and the preset identification rate can be specifically set according to actual conditions, for example, the preset transmission rate and the preset identification rate can be set according to the identification efficiency of a character identification device. In practice, the preset transfer rate needs to be slower than the preset recognition rate to ensure that the character recognition device 13 can correctly recognize the character information on the upper surface of the current chip.
For example, the character recognition device 13 may be set to recognize the chips at a speed of 1/second, and the time for transferring each chip by the first transfer device 12 needs to be set to be more than 1 second. That is, when the preset recognition rate is 1/sec, the preset transfer rate needs to be less than 1/sec. Alternatively, the character recognition means 13 may be arranged to recognize the chips at a speed of 2/sec, and the time for transferring each chip by the first transfer means 12 needs to be set to be longer than 2 seconds. That is, when the preset recognition rate is 2/sec, the preset transfer rate needs to be less than 2/sec. The embodiments of the present invention are not particularly limited.
Referring to fig. 1, in one possible implementation, the first conveying device 12 includes a conveying tray 121 and a conveying mechanism 122, the conveying mechanism 122 is connected to the control device 11 in a communication manner, and the conveying tray 121 is placed on the conveying mechanism 122 for carrying chips. The conveying mechanism 122 is configured to convey the tray 121 at a preset conveying rate under the control of the control device 11 to convey the chip to the recognition area of the character recognition device 13.
In a specific implementation, when placing the chip on the transfer tray 121, the side of the chip on which the silk-screen image is printed needs to be directed to the position of the character recognition device 13. Illustratively, when the character recognition device 13 is disposed above the first conveying device 12, the side of the chip on which the silk-screen image is printed needs to be directed upward, and the control device 11 controls the conveying mechanism 122 to convey the tray 121 at a preset conveying rate to convey the chip to the recognition area of the character recognition device 13, so as to facilitate the character recognition device 13 to recognize the character information on the upper surface of the chip. Illustratively, when the character recognition device 13 is disposed on the left side of the first conveying device 12, the side of the chip on which the silk-screen image is printed needs to be oriented toward the left side. The embodiment of the present invention is not particularly limited thereto.
The conveying mechanism 122 in the above embodiment may be a conveying belt, a roller line, or an automatic navigation Vehicle (abbreviated as AGV) provided with an automatic navigation system. The conveying tray 121 may be fixed on the conveying mechanism 122, or may be placed only on the conveying mechanism 122, only to ensure that the conveying tray 121 does not generate relative displacement on the conveying mechanism 122. Therefore, the chips can be ensured to be completely positioned in the recognition area of the character recognition device 13, and incomplete display of the character information of the chips is avoided when the character recognition device 13 recognizes the chips.
In a possible implementation manner, the control device 11 is further configured to determine a model and a version of the chip according to the surface character detection information of the chip, and control the second transmitting device 14 to transmit the chip to the target location according to the model and the version of the chip, where different models or versions of the chip correspond to different target locations.
It can be understood that, after the character recognition device 13 completes the recognition of the surface character information of the chip, the control device 11 may determine the model and version of the chip according to the surface character detection information of the chip, so as to control the second conveying device 14 to convey the chip to the target position, so as to realize the automatic sorting of the chip according to different models or different versions of the chip, and improve the production test efficiency of the chip.
Illustratively, the second conveyor 14 may be a diverting conveyor. Before the control device 11 controls the second transfer device 14 to transfer the chips, different target positions may be set, the target position of the a-type chip being set as the first position, and the target position of the B-type chip being set as the second position. After the setting is finished, the type A chips are conveyed to the first position and the type B chips are conveyed to the second position according to the surface character detection information of each chip.
The second conveyor 14 in the above embodiment may also be the same as the first conveyor 12, with the chips being transported to different target locations by conveyor belts, roller lines, or AGV carts. The embodiment of the present invention is not limited thereto.
In one possible implementation, the character recognition apparatus 13 includes an image acquisition module 131 and a character recognition module 132. The image obtaining module 131 is configured to obtain a first image of the characters on the chip surface in the recognition area according to a preset recognition rate under the control of the control device 11. The character recognition module 132 is configured to perform image binarization processing and image segmentation on the first image in sequence to obtain a plurality of character regions, match the plurality of character regions with a preset character template, and determine surface character detection information of the chip.
It is understood that the control device 11 controls the image acquisition module 131 to acquire a first image of the characters of the surface on the chip and sends the first image to the character recognition module 132. The character recognition module 132 performs image binarization processing and image segmentation on the first image to obtain a plurality of character areas, matches each character area with a preset character template, and determines surface character detection information of the chip when matching is successful.
In the above embodiment, the image acquisition module 131 includes a vertical camera. The chip surface character detection system 10 further comprises a diffused light source 15, and the diffused light source 15 is arranged around the vertical camera and used for improving the uniformity of light received by the chip. Based on this, the vertical camera can shoot the chip passing through the recognition area, and capture the first image of the characters on the surface of the chip. Meanwhile, the diffusion light source 15 is arranged around the vertical camera, so that the surface characters of the chip can be illuminated, and the uniformity of illumination on the surface of the chip is improved when the vertical camera acquires the first image. Further, the vertical camera may also set a photographing rate to ensure that the character recognition device 13 can accurately recognize the first image.
In some embodiments, the character recognition module 132 includes an image pre-processing sub-module 1321, an image segmentation sub-module 1322, and a character recognition sub-module 1323 electrically connected in series. The image preprocessing submodule 1321 is configured to perform image binarization on the first image to obtain a second image, and send the second image to the image segmentation submodule 1322.
The image segmentation sub-module 1322 is configured to perform image segmentation on the second image to obtain a plurality of character regions, and send the plurality of character regions to the character recognition sub-module 1323.
The character recognition sub-module 1323 is configured to match the plurality of character areas with a preset character template, respectively, and determine surface character detection information of the chip.
Specifically, after receiving the first image, the image preprocessing submodule 1321 performs image binarization on the first image to obtain a second image, and sends the second image to the image segmentation submodule 1322. The image segmentation submodule 1322 receives the second image, performs image segmentation on the second image to obtain a plurality of character regions, and sends the plurality of character regions to the character recognition submodule 1323. After receiving the plurality of character areas, the character recognition sub-module 1323 matches each character area with a preset character template, and finally determines the surface character detection information of the chip.
In some embodiments, the image preprocessing sub-module 1321 is further configured to determine a first pixel value according to a pixel value of a background region in the first image, determine a second pixel value according to a pixel value of a character region in the first image, determine a target threshold value according to the first pixel value and the second pixel value, and perform image binarization processing on the first image based on the target threshold value.
In the above embodiment, the first pixel value is an average pixel value of the background area in the first image, and the second pixel value is an average pixel value of the character area in the first image.
For example, the pixel value of the background region in the first image may be 20, the pixel value of the character region may be 180, and the target threshold may be calculated to be 100 according to the first pixel value 20 and the second pixel value 180. According to the target threshold value 100, performing binarization processing on the first image, namely traversing the first image, setting the pixel value of a pixel point of which the pixel value is less than or equal to 100 in the first image to be 0, and setting the pixel value of a pixel point of which the pixel value is greater than 100 in the first image to be 255 so as to process the collected colorful first image into a black and white second image. It can be understood that the pixel values of the background area and the pixel values of the character area in the first image also have a relation to the intensity of the diffuse light source 15, and the intensity of the diffuse light source 15 needs to be set appropriately to make the contrast of the first pixel value with the second pixel value sharpest.
In some embodiments, the image segmentation sub-module 1322 is further configured to segment the second image by using a watershed algorithm to obtain a plurality of connected regions, and determine the connected regions meeting the preset condition as character regions.
The watershed algorithm is a mathematical morphology segmentation method based on a topological theory, and the basic idea is that an image is regarded as a topological landform on geodetic science, the gray value of each point pixel in the image represents the altitude of the point, each local altitude minimum value and an influence area of the local altitude minimum value are called as a catchbasin, and the edge of the catchbasin forms a watershed. In the embodiment of the present invention, since the first image has been subjected to the binarization processing, the first image can be segmented quickly. After traversing the images, marking the pixel point with the pixel value of 0 in the first image as a watershed, and marking the pixel point with the pixel value of 255 as a basin. Based on this, when the image is segmented, the embodiment of the invention can mark each pixel point as a watershed or a basin and record the size of the connected region only by one-time image traversal, then the basins with the overlarge or undersize connected regions are removed, and the remaining basins meeting the preset conditions are marked with character regions.
In the actual operation process, the preset condition is the number of pixel points of the surface characters on the chip in the first image. For example, knowing that the chip top surface character exhibits about 150 pixels in the first image, the preset condition can be set to 100 pixels to 200 pixels, and connected regions smaller than 100 pixels and connected regions larger than 200 pixels are excluded.
In some embodiments, the character recognition sub-module 1323 is further configured to match each character region with a preset character template to obtain multiple matching rates of the character region and multiple characters in the preset character template, determine character information corresponding to each character region based on the multiple matching rates, and determine surface character detection information of the chip based on the character information corresponding to each character region.
For example, the character recognition sub-module 1323 matches each character region with a preset character template, so as to determine a matching rate between each character region and each character in the preset character template, where the character template with the highest matching rate is the character information of each character region. After the character information of each character area is determined, the plurality of character information are integrated, thereby determining the surface character detection information of the chip.
In the embodiment of the invention, a quick template matching method is adopted to match a plurality of character areas. The fast template matching method is to match each character area with a preset character template. The preset character template is formed by respectively identifying 26 capital English letters from A to Z, 26 small capital English letters from A to Z and ten numbers from 0 to 9 by the character identification device 13 before identifying the chip, so that the character area can be quickly matched with the corresponding character template when the chip is identified. It should be understood that, when the character recognition device recognizes the above-mentioned english alphabets and numbers, the light condition of the diffuse light source 15 may be set to be consistent with the light condition when actually recognizing the character information on the upper surface of the chip, so as to avoid that the threshold value fluctuates too much to affect the accuracy of matching.
Referring to fig. 2, the control device 11 may be a control apparatus 200, and actions performed by the control apparatus 200 may be stored in a memory 220 of the control apparatus 200 as computer instructions, and the computer instructions stored in the memory 220 are executed by the first processor 210.
The control device 200 comprises a first processor 210 and a communication interface 230, the communication interface 230 being coupled to the first processor 210, the first processor 210 being adapted to execute computer programs or instructions. The control device 200 can communicate with the first transfer means 12, the character recognition means 13 and the second transfer means 14 via the communication interface 230.
As shown in fig. 2, the first processor 210 may be a general processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs according to the present invention. The communication interface 230 may be one or more. Communication interface 230 may use any transceiver or the like for communicating with other devices or a communication network.
As shown in fig. 2, the control device 200 may further include a communication line 240. The communication link 240 may include a path for transferring information between the devices.
Optionally, as shown in fig. 2, the control device 200 may further include a memory 220. The memory 220 is used to store computer instructions for performing aspects of the present invention and is controlled for execution by the first processor 210. The first processor 210 is operable to execute computer instructions stored in the memory 220.
As shown in fig. 2, the memory 220 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a Random Access Memory (RAM) or other types of dynamic storage devices that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 220 may be self-contained and coupled to the first processor 210 via a communication line 240. The memory 220 may also be integrated with the first processor 210.
Optionally, the computer instructions in the embodiment of the present invention may also be referred to as application program codes, which is not specifically limited in this embodiment of the present invention.
In particular implementations, as one embodiment, as shown in FIG. 2, the first processor 210 may include one or more CPUs, such as CPU0 and CPU1 in FIG. 2.
In a specific implementation, as an embodiment, as shown in fig. 2, the control device 200 may include a plurality of processors, such as the first processor 210 and the second processor 250 in fig. 2. Each of these processors may be a single core processor or a multi-core processor.
The embodiment of the invention also provides a computer readable storage medium. The computer-readable storage medium has stored therein instructions that, when executed, implement the functions performed by the control device 200 in the above-described embodiments.
The embodiment of the present invention further provides a chip, which is applied in a chip surface character detection system, where the chip includes at least one processor and a communication interface, the communication interface is coupled with the at least one processor, and the processor is configured to execute instructions to implement the functions executed by the control device 200 in the above-described embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. The procedures or functions of the embodiments of the invention are performed in whole or in part when the computer program or instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a computer network, a terminal, user equipment, or other programmable device. The computer program or instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer program or instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that integrates one or more available media. The available media may be magnetic media, such as floppy disks, hard disks, magnetic tape; or optical media such as Digital Video Disks (DVDs); it may also be a semiconductor medium, such as a Solid State Drive (SSD).
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A system for detecting characters on a surface of a chip, the system comprising: the character recognition device, the first transmission device, the second transmission device and the control device are respectively connected with the character recognition device, the first transmission device and the second transmission device in a communication mode;
the control device is used for controlling the first conveying device to convey the chip to the identification area of the character identification device according to a preset conveying speed;
the control device is further used for controlling the character recognition device to acquire a first image of the characters on the upper surface of the chip in the recognition area according to a preset recognition rate; the character recognition device is used for sequentially carrying out image binarization processing and image segmentation on the first image to obtain a plurality of character areas, respectively matching the plurality of character areas with a preset character template and determining surface character detection information of the chip;
the control device is used for controlling the second conveying device to convey the chip to a target position according to the surface character detection information.
2. The chip surface character detection system of claim 1, wherein the preset transfer rate matches the preset recognition rate.
3. The chip surface character detection system according to claim 1, wherein the first transfer device includes a transfer tray and a transfer mechanism, the transfer mechanism being communicatively connected to the control device, the transfer tray being placed on the transfer mechanism for carrying the chip;
the conveying mechanism is used for conveying the tray according to the preset conveying speed under the control of the control device so as to convey the chip to the identification area of the character identification device.
4. The system for detecting characters on a surface of a chip as claimed in claim 1, wherein the control device is further configured to determine a model and a version of the chip according to the detection information of the surface characters of the chip, and control the second transmitting device to transmit the chip to the target location according to the model and the version of the chip, wherein different models or versions of the chip correspond to different target locations.
5. The chip surface character detection system according to any one of claims 1-4, wherein the character recognition device comprises an image acquisition module and a character recognition module;
the image acquisition module is used for acquiring a first image of the characters on the upper surface of the chip in the identification area according to the preset identification rate under the control of the control device;
the character recognition module is used for carrying out image binarization processing and image segmentation on the first image in sequence to obtain a plurality of character areas, matching the plurality of character areas with the preset character template respectively and determining surface character detection information of the chip.
6. The chip surface character detection system according to claim 5, wherein the character recognition module comprises an image preprocessing sub-module, an image segmentation sub-module and a character recognition sub-module which are electrically connected in sequence;
the image preprocessing submodule is used for carrying out image binarization processing on the first image to obtain a second image and sending the second image to the image segmentation submodule;
the image segmentation submodule is used for carrying out image segmentation on the second image to obtain the character areas and sending the character areas to the character recognition submodule;
the character recognition sub-module is used for respectively matching the character areas with the preset character template and determining the surface character detection information of the chip.
7. The chip surface character detection system according to claim 6, wherein the image preprocessing sub-module is further configured to determine a first pixel value according to a pixel value of a background region in the first image, determine a second pixel value according to a pixel value of a character region in the first image, determine a target threshold value according to the first pixel value and the second pixel value, and perform image binarization processing on the first image based on the target threshold value.
8. The system for detecting characters on a chip surface according to claim 6, wherein the image segmentation sub-module is further configured to segment the second image by using a watershed algorithm to obtain a plurality of connected regions, and determine the connected regions satisfying a preset condition as the character regions.
9. The system for detecting characters on a chip surface according to claim 6, wherein the character recognition sub-module is further configured to match each of the character areas with the preset character template to obtain a plurality of matching rates between the character areas and a plurality of characters in the preset character template, determine character information corresponding to each of the character areas based on the plurality of matching rates, and determine the detection information of the characters on the chip surface based on the character information corresponding to each of the character areas.
10. The chip surface character detection system of claim 5, wherein the image acquisition module comprises a vertical camera; the chip surface character detection system further comprises a diffusion light source, wherein the diffusion light source is arranged around the vertical camera and used for improving the uniformity of illumination received by the chip.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114897828A (en) * | 2022-05-11 | 2022-08-12 | 安徽大学 | Automatic chip identification and sorting method, device and system |
| CN114897828B (en) * | 2022-05-11 | 2024-04-16 | 安徽大学 | Automatic chip identification and sorting method, device and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874909A (en) * | 2017-01-18 | 2017-06-20 | 深圳怡化电脑股份有限公司 | A kind of recognition methods of image character and its device |
| CN211100225U (en) * | 2019-09-19 | 2020-07-28 | 深圳格兰达智能装备股份有限公司 | Character recognition device for chip testing sorting machine |
| CN113282532A (en) * | 2021-06-11 | 2021-08-20 | 成都爱旗科技有限公司 | Communication device, communication method of communication device and electronic equipment |
-
2022
- 2022-02-15 CN CN202210135731.1A patent/CN114187596A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874909A (en) * | 2017-01-18 | 2017-06-20 | 深圳怡化电脑股份有限公司 | A kind of recognition methods of image character and its device |
| CN211100225U (en) * | 2019-09-19 | 2020-07-28 | 深圳格兰达智能装备股份有限公司 | Character recognition device for chip testing sorting machine |
| CN113282532A (en) * | 2021-06-11 | 2021-08-20 | 成都爱旗科技有限公司 | Communication device, communication method of communication device and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 王文平: "基于Halcon的芯片字符识别", 《中国优秀博硕士学位论文全文数据库（硕士）信息科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114897828A (en) * | 2022-05-11 | 2022-08-12 | 安徽大学 | Automatic chip identification and sorting method, device and system |
| CN114897828B (en) * | 2022-05-11 | 2024-04-16 | 安徽大学 | Automatic chip identification and sorting method, device and system |
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