CN113945788B - Detection method, detection device, detection apparatus, electronic apparatus, and readable storage medium - Google Patents
Detection method, detection device, detection apparatus, electronic apparatus, and readable storage medium Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
According to the detection method, the detection device, the detection equipment, the electronic equipment and the readable storage medium, different identifications are generated by determining whether the current detected device is normal or invalid, namely if the current detected device is invalid, the invalid identification is generated and is not sent to the image processing system to acquire the detection result, if the current detected device is normal, the extraction sequence number is generated, and then the detection result can be extracted from the image processing system according to the extraction sequence number.
Description
Technical Field
The present invention relates to the field of detection technologies, and in particular, to a detection method, a device, a detection apparatus, an electronic apparatus, and a readable storage medium.
Background
With the development of semiconductor technology, the demands of basic electronic components such as resistors and capacitors are increasing, and the demands of detection devices matched with the basic electronic components are also increasing.
At present, a sequence method is adopted by a detection device to label a DUT (Device Under Test, DUT for short), namely, the sequence number of each DUT is generated according to a continuous sequence, and correspondingly, the detection results are also sequentially corresponding to the sequence number, but this method also often causes fatal defects: once the failed DUT exists in the detection process, the detection result of the normal DUT is corresponding to the failed DUT because the failed DUT also occupies the corresponding serial number but has no detection result, and the like, so that the detection results of all subsequent DUTs are corresponding to errors.
Disclosure of Invention
One of the purposes of the present invention is to provide a detection method, a device, a detection apparatus, an electronic apparatus, and a readable storage medium, so as to avoid the problem of dislocation of detection results caused by that a failed device occupies the detection results of a normal device.
In a first aspect, the present invention provides a method of detection, the method comprising: determining whether the current device to be tested is invalid or normal; if the current device to be tested fails, generating a corresponding failure identifier according to the classification serial number of the current device to be tested; the failure identification is not sent to the image processing system to obtain a detection result; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested; the extraction serial number of the current tested device and the extraction serial number of the last normal tested device form a continuous sequence; and obtaining the detection result of the current device to be detected according to the extraction sequence number.
In a second aspect, the present invention provides a detection apparatus comprising: the determining module is used for determining whether the current device to be tested is invalid or normal; the generation module is used for generating a corresponding failure identifier according to the classification serial number of the current tested device if the current tested device fails; the failure identification is not sent to the image processing system to obtain a detection result; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested; the extraction sequence number of the current device to be tested and the extraction sequence number of the last normal device to be tested form a continuous sequence, and the extraction sequence number is used for indicating the image processing system to provide a detection result according to the continuous sequence.
In a third aspect, an embodiment of the present invention provides a detection apparatus, including the control system and an image processing system, where the control system is configured to determine whether a current device under test is invalid or normal; if the current device to be tested fails, generating a corresponding failure identifier according to the classification serial number of the current device to be tested; the failure identification is not sent to the image processing system to obtain a detection result; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested; the control system is also used for sending the extraction sequence number to the image processing system; the image processing system is used for obtaining the detection result of the current device to be detected according to the extraction sequence number and sending the extraction sequence number and the detection result to the control system.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a processor and a memory, where the memory stores a computer program that can be executed by the processor, and the processor can execute the computer program to implement the detection method described in the first aspect.
In a fifth aspect, an embodiment of the present invention is a readable storage medium, on which a computer program is stored, which when executed by a processor implements the detection method according to the first aspect.
According to the detection method, the device, the detection equipment, the electronic equipment and the readable storage medium, different identifications are generated by determining whether the current detected device is normal or invalid, namely if the current detected device is invalid, the invalid identification is generated and is not sent to the image processing system to acquire the detection result, if the current detected device is normal, the extraction sequence number is generated, the detection result can be extracted from the image processing system, and as the extraction sequence number of each normal detected device can form a new continuous series, the image processing system can provide the detection result bound by the extraction sequence number of the current detected device according to the new continuous series, so that the problem that the invalid device occupies the detection result of the normal device can be avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 illustrates an architecture diagram of a conventional polyhedral AOI device;
FIG. 2 is a flow chart of a conventional inspection process;
FIG. 3 is a schematic flow chart of a detection method according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of another detection method according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of another detection method according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart of one implementation of step S301 provided by an embodiment of the present invention;
FIG. 7 is a schematic flow chart of another detection method according to an embodiment of the present invention;
FIG. 8 is an interactive process diagram of a detection flow provided in an embodiment of the present invention;
FIG. 9 is a functional block diagram of a detection device according to an embodiment of the present disclosure;
Fig. 10 is a block schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present invention, it should be noted that, if the terms "upper", "lower", "inner", "outer", and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or the azimuth or the positional relationship in which the inventive product is conventionally put in use, it is merely for convenience of describing the present invention and simplifying the description, and it is not indicated or implied that the apparatus or element referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus it should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, if any, are used merely for distinguishing between descriptions and not for indicating or implying a relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
Before describing the embodiments of the present application, terms referred to herein will be described.
Polyhedral AOI (Automated Optical Inspection, AOI) device: the industrial detection equipment is applied to basic electronic components, and can judge the size of the basic electronic components and further judge whether the surfaces of the components have defects or not through AOI (automatic optical inspection) and visual recognition technology.
DUT (Device Under Test, DUT for short): devices under test, also known as devices under test (EUTs) and Units Under Test (UUTs), are manufactured products that are tested at the time of first manufacture or later in their lifecycle, as part of an ongoing functional test and calibration. This may include post-repair testing to determine if the product performs to the original product specifications.
Class number (ID Label 1): each DUT is assigned an ID Label 1 when entering the test flow for distinguishing from other DUTs.
Failure identification/extraction sequence number (ID Label 2): for a failed DUT, ID Label 2 refers to the failure identity; for a normal DUT, ID Label 2 refers to an extraction sequence number that can obtain the detection result of the corresponding DUT from the image processing system.
Sequence number: it means that in one sequence, the sequence element corresponds to a number, for example, the sequence {1,3,2,4}, the sequence number corresponding to 3 is 2, and the sequence number corresponding to 2 is 3.
With the development of semiconductor technology, the demands of basic electronic components such as resistors and capacitors are increasing, and the demands of detection devices matched with the basic electronic components are also increasing. The size of the basic electronic element can be judged through the detection equipment, and whether the surface of the element has defects can be judged. Referring now to FIG. 1, a conventional process for DUT inspection is shown, and FIG. 1 illustrates a schematic diagram of a conventional polyhedral AOI device.
As shown in fig. 1, the inspection apparatus 100 includes an inspection device 110, a control system 120, an encoding device 130, an image processing device 140, image acquisition devices 150-1 to 150-n, and a dispensing system 160. Their respective connection relationships are shown in fig. 1. The architecture diagram of the detection device illustrated in fig. 1 is only an example and is not intended to limit the scale of the detection device. Wherein the arrow indicates the signaling transmission direction.
In the architecture diagram of the test apparatus shown in fig. 1, as shown in fig. 2, fig. 2 is a conventional test flow chart, and the information flow interaction flow for testing any DUT may include:
s1, the encoding device sends the encoder value to the control system.
The encoder device continuously sends the encoder value to the control system, and can be used for the control system to determine whether the DUT reaches the detection position, namely the shooting position of the image acquisition device according to the encoder value.
S2, the detection device sends DUT signals to the control system.
When the DUT enters the detection flow, the detection device sends a detection signal to the control system to inform that the DUT enters the detection flow.
S3, when the control system receives the signal of the detection device, a unique ID Label 1 is generated, and the ID Label 1 is stored in a queue.
S4, the control system sends a trigger signal to the image acquisition device and sends an ID Label 1 to the image processing device.
After the control system determines that the DUT reaches the shooting position of the image acquisition device, a trigger signal is sent to the image acquisition device to trigger the image acquisition of the image acquisition device, and meanwhile, the ID Label of the DUT is pushed to the image processing system.
S5, the image acquisition device sends the shot image to the image processing system.
S6, the image processing system receives the image of the image acquisition device, starts to process and analyze the image, and then binds the processing result with the ID Label 1.
S7, the image processing system sends the bound processing result and the ID Label 1 to the control system.
S8, the control system sends the comprehensive processing result of the DUT to the distributing system.
When a plurality of image acquisition devices exist, when the DUT passes through all the image acquisition devices, the control system makes comprehensive judgment by combining the processing results of the plurality of image processing systems, and sends the final comprehensive result to the distributing system, the distributing system processes the DUT, and the flow is ended.
For example, taking 6 image capturing devices as an example, assuming that the processing result of each image capturing device is OK, OK, NG, NG, OK, OK for a certain DUT, the control system finally determines that the detection result of the DUT is NG by using a statistical method. That is, when there are a plurality of image pickup devices, only the processing result of each image pickup device is OK, and the detection result of the DUT is OK.
However, as can be seen from the above detection flow, once the failed device appears, the failed device is often classified directly into a type needing to be re-detected, so that the control system does not send a trigger signal to the image acquisition device, and naturally there is no detection result corresponding to the failed device in the image processing system, if the above implementation flow is implemented, the control system still sends the ID Label 1 corresponding to the failed device to the image processing system, at this time, the image processing system is likely to bind the detection result of the subsequent normal device with the ID Label 1 of the failed device according to the serial sequence of the ID Label 1, so that the malposition phenomenon that the failed device occupies the detection result of the normal device is caused, and the malposition result is always transmitted in the DUT detected subsequently, so that the malposition result is always present in the system.
For example, assuming there are 4 consecutive DUTs, namely DUT W, DUT X, DUT Y and DUT Z, whose ID Label 1 is k, k+1, k+2 and k+3, respectively, if DUT X is a failed device, there will be virtually no image processing result corresponding to DUT X in the image processing system, if DUT Y is currently detected, however, at this time there are corresponding k+1 of DUT X, k+2 of DUT Y and image processing result of DUT Y in the image processing system, then in sequence order, the image processing system will bind k+1 of DUT X with the image processing result of DUT Y, thereby causing k+2 of DUT Y to bind with the image processing result of DUT Z, and so on, resulting in such errors being passed on in the subsequently detected DUTs all the time.
In order to solve the above-mentioned problems, the embodiment of the present invention provides a detection method based on the architecture of the detection apparatus shown in fig. 1, as shown in fig. 3, and fig. 3 is a schematic flowchart of a detection method provided in the embodiment of the present invention, where the method includes:
s301, determining whether the current device under test is invalid or normal.
It should be noted that, if the current device to be tested is the first device to be tested entering the detection flow, the current device to be tested is processed directly according to the normal device.
S302, if the current device to be tested fails, a corresponding failure identifier is generated according to the classification serial number of the current device to be tested.
Wherein the invalidation flag is not sent to the image processing system to obtain a detection result.
For example, taking the detection flow of fig. 2 as an example, that is, if the current device to be detected fails, the control system will not send the identification information of the current device to be detected to the image processing system, so that the detection result and the identification information thereof will not be bound, and the dislocation phenomenon caused by the fact that the failed current device to be detected occupies the detection result of the subsequent normal device to be detected can be avoided.
S303, if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested, and obtaining a detection result of the current device to be tested according to the extraction sequence number.
The extraction serial numbers of the current tested device and the last normal tested device form a continuous sequence, and the extraction serial numbers are used for indicating an image processing system to provide a detection result corresponding to the current tested device according to the continuous sequence. In one implementation, the extraction sequence number of the current device to be tested can be generated according to the classification sequence number of the current device to be tested and the extraction sequence number of the last normal device to be tested; in another possible implementation manner, the extraction sequence number of the current normal tested device can be calculated according to the classification sequence number of the current normal tested device and the number of the failed tested devices.
That is, taking fig. 2 as an example, instead of sending the ID Label 1 to the image processing system, the control system forms a new continuous series according to the ID Label2 of each normal device under test, and then sends the ID Label2 of the normal device under test to the image processing system, so that the image processing system provides the detection result of the current binding of the ID Label2 of the device under test according to the new continuous series, thereby avoiding the problem that the failed device occupies the detection result of the normal device.
The detection method provided by the embodiment of the invention is different from the prior art in that after the classification serial number ID Label 1 is generated for each DUT, the detection result is obtained from the image processing system by using the ID Label 1, once the failed device to be detected occurs, the image processing system is caused to associate the detection result of the subsequent device to be detected to the ID Label 1 of the failed device to be detected, so that the result dislocation phenomenon is continued in the system all the time.
For the sake of understanding, taking the 4 continuous DUTs, namely, DUT W, DUT X, DUT Y and DUT Z as an example, assuming that DUT W is the last normal device to be tested, the extraction sequence number is n, the image processing system receives the extraction sequence number n, and then the currently obtained detection result and n are bound and fed back to the control system, and further, the currently obtained device is DUT X, the classification sequence number is k+1, if DUT X fails, a corresponding failure identifier is generated, and the failure identifier is not pushed to the image processing system; if the DUT X is normal, generating an extraction sequence number n+1 corresponding to the DUT X according to n corresponding to the DUT W, and as can be seen, n and n+1 form a continuous sequence, then pushing n+1 to the image processing system, and binding and sending the detection result and n+1 to the control system by the image processing system according to the continuous sequence, so that the dislocation phenomenon caused by the fact that a normal device is occupied by a failed device is avoided.
In some possible embodiments, for step S303, the extraction sequence numbers of each normal device under test are formed into a continuous sequence, so that the extraction sequence numbers pushed by the control system are continuous, and thus, the triggering frequency of the image acquisition device can be combined to determine whether the image processing system has a missing image problem, and further, the missing image problem can be processed and corrected in time.
In some possible embodiments, the forms for the sort number, the extract number, and the failure indication appearing in steps S301, S302, and S303 may include, but are not limited to, numbers, letters, special symbols, and combinations thereof.
In one possible embodiment, for step S303, the consecutive series of sequences therein may be replaced with any custom sequence, including but not limited to increasing, decreasing, looping, etc.
In one possible implementation manner, the failure identifier may be a number, a letter, a special symbol, or a combination thereof, which is not limited herein, and note that continuity between the extraction numbers corresponding to the normal devices may not be broken during the process of generating the failure identifier.
For example, continuing with the 4 consecutive DUTs described above, namely DUT W, DUT X, DUT Y and DUT Z, whose ID Label1 is K, k+1, K+2 and k+3, respectively, their ID Label2 is n, n and n+1, respectively, by calculation, wherein the ID Label2 of DUT X and DUT Y may be other values as long as the continuity between DUT W to DUT Z is not affected.
In some possible embodiments, after generating the ID Label2 (including the failure identifier or the extraction serial number) for each device under test, the correspondence between the ID Label2 and the classification serial number ID Label1 may be stored, so that the ID Label2 is subsequently restored to the ID Label1, and the detection result and the restored ID Label1 are sent to the material distributing system together for processing.
Optionally, since the process of capturing an image by the image capturing device and transmitting the captured image to the image processing system is not necessarily reliable, for example, the camera triggers image capturing, but the image processing system does not receive the image, and it is considered that there is no DUT, and this may cause a dislocation of the DUT detection result, in order to solve this problem, an embodiment of the present invention further provides a correction manner to determine whether the image processing system is missing the image, and referring to fig. 4, fig. 4 is a schematic flowchart of another detection method provided in the embodiment of the present invention, where the method may further include:
s304, obtaining the currently generated extraction sequence number and the triggering times of the image acquisition device.
S305, if the sequence number corresponding to the extraction sequence number is inconsistent with the triggering times, determining that the image processing system is not receiving the image.
S306, correcting the extraction sequence number according to the triggering times.
The image acquisition device is used for acquiring images of the tested device and sending the generated images to the image processing system for processing to obtain detection results.
It will be appreciated that for each DUT detected, the image acquisition device is triggered once, the image acquisition device receives an image once, and because the extraction sequence number of each normal device is a continuous sequence, the currently generated sequence number of the extraction sequence number should be consistent with the number of triggers in the absence of missed images.
For example, assuming that DUT W, DUT X, DUT Y and DUT Z are all normal devices, their corresponding ID Label1 is divided into n, n+1, n+2, n+3, if the current device under test is DUT W, the image acquisition device shall trigger 1 time to obtain images of DUT W, then the sequence number 1 corresponding to the extraction sequence number n is consistent with the trigger number 1; otherwise, if the current device under test is DUT X and the corresponding sequence number of the extraction sequence number n+1 is 2, if the triggering times of the image acquisition device are 1 at the moment, the two are inconsistent, which indicates that the problem of missing images exists.
For the case where the sequence number and the trigger number in step S305 are inconsistent, there are the following two scenarios:
in the first scenario, the sequence number is smaller than the trigger number, because when the image acquisition device is triggered when the previous DUT is detected, the image processing system receives the image of the previous DUT, but does not read the ID Label 2 of the previous DUT from the control system, so that the image processing system processes the image and does not feed back the processing result to the control system, when the current DUT is detected, the image acquisition device is triggered once again, but when the image processing system reads the ID Label 2 of the previous DUT, the situation that the sequence number is smaller than the trigger number occurs.
For this case, the way to correct the extraction sequence number may be: and continuing to read the ID Label2 from the control system until the sequence number of the read ID Label2 is equal to the triggering frequency of the current reading.
In a second scenario: the sequence number is greater than the trigger number because, after the image processing system receives the image of the current DUT, more than 1 ID Label2 (e.g., 2 ID labels) are read from the control system for some reason, where the next DUT ID Label2 is included, so that the sequence number for obtaining the currently generated extraction sequence number is greater than the trigger number.
For the above scenario, the way to correct the extraction sequence number may be: the read ID Label2 needs to be temporarily stored, the result is not fed back to the control system, when the next image is waited to be received, the ID Label2 is read from the control system, the temporarily stored ID Label2 is compared with the triggering times, and the serial number of the extracted serial number is equal to the triggering times.
Optionally, an implementation manner of classifying the device under test after obtaining the detection result of the current device under test is further provided below, referring to fig. 5, fig. 5 is a schematic flowchart of another detection method provided by an embodiment of the present invention, where the method further includes:
S307, when the extraction sequence number sent by the image processing system and the detection result corresponding to the extraction sequence number are received, the classification sequence number corresponding to the detection result is determined according to the corresponding relation between the extraction sequence number and the classification sequence number.
And S308, sending the detection result and the classification serial number corresponding to the detection result to a material distribution system so as to enable the classification system to classify the detected devices corresponding to the classification serial number.
It will be appreciated that after the control system generates the extraction sequence number, the correspondence between the extraction sequence number and the classification sequence number may be stored, so as to restore the extraction sequence number later, and determine the DUT corresponding to the detection result. After receiving the extraction sequence number and the detection result sent by the image processing system, in order to determine the DUT corresponding to the detection result, the detection result and the classification sequence number can be bound according to the restored classification sequence number and sent to the material distributing system for classification.
When the control system needs to send the processing information to the distributing system 14, since the distributing system 14 will process each DUT, it is necessary to restore the ID Label 2 to the ID Label1 according to the above array, for example, restore the value n+1 of the ID Label 2 attached to the result received by the image processing system 9 to the value k+3 of the ID Label1, and finally send the result to the distributing system 14 to complete the sorting process.
In some possible embodiments, the sorting system may place its corresponding DUT at a designated location according to the sort order number, implementing sorting.
Optionally, since the test device will typically make failure labels on DUTs that are too close to each other, an embodiment of determining whether the device under test is normal or failed is given below, and referring to fig. 6, fig. 6 is a schematic flow of an implementation of step S301 provided by an embodiment of the present invention.
S300-1, detecting whether the distance between the current tested device and the last tested device is larger than or equal to a preset distance threshold value.
In some possible embodiments, the above-mentioned preset distance threshold may be defined according to an actual mechanical structure of the detecting device, for example, the preset distance threshold may be defined as 250 pulses according to a rotation speed of a turntable of the detecting device.
S300-2, if the distance is greater than or equal to a preset distance threshold, determining that the current tested device is normal.
And S300-3, if the distance is smaller than a preset distance threshold value, determining that the current tested device fails.
In the implementation of the invention, the failed DUT can be determined by judging whether two DUTs are stuck together, wherein the difference is that the two DUTs are stuck together, and the distance between the two stuck DUTs is smaller than the length of a single DUT; too close a distance means that the distance between 2 DUTs will be greater than the length of a single DUT.
In one possible implementation manner, a preset distance threshold for judging whether the distance between two DUTs is too short may be set as a first preset distance threshold, a preset distance threshold for judging whether the two DUTs are adhered together is set as a second preset distance threshold, wherein the first preset distance threshold is greater than the second preset distance threshold, if the distance between the current device to be tested and the last device to be tested is smaller than the second preset distance threshold, it is determined that the current device to be tested and the last device to be tested are invalid, if the distance between the current device to be tested and the last device to be tested is greater than or equal to the second preset distance threshold, it is further judged whether the distance between the current device to be tested and the last device to be tested is smaller than the first preset distance threshold, if yes, it is determined that the current device to be tested is invalid, and if no, it is determined that the current device to be tested is normal.
Optionally, a method for processing a failed device is also provided below, please refer to fig. 7, and fig. 7 is a schematic flowchart of another detection method provided in an embodiment of the present invention.
And S309, if the current tested device is determined to be invalid, stopping sending a trigger signal to the image acquisition device.
It can be understood that if the current device to be tested fails, the image acquisition device can not be triggered to acquire the image of the current device to be tested, so that the image processing system does not naturally have the detection result of the current device to be tested, and the dislocation phenomenon caused by the fact that the detection result of the failed device occupies the extraction sequence number of the normal device can be prevented.
And S310, if the current device to be tested is determined to be normal, sending a trigger signal to the image acquisition device when the current device to be tested is determined to reach the position of the image acquisition device, so that the image acquisition device can acquire the image of the current device to be tested.
In a possible embodiment, for step S310, before sending the trigger signal to the image acquisition device, it may be determined whether the current device under test has reached the position of the image acquisition device, by:
and determining whether the current tested device reaches the position of the image acquisition device according to the obtained encoder value.
Optionally, when the DUT enters the detection flow, a classification sequence number needs to be configured for each DUT, and an implementation manner of generating the classification sequence number is further provided below, namely:
when receiving the detection signal of the detection sensor, generating a serial number which is continuous with the classification serial number of the last tested device and is used as the classification serial number corresponding to the current tested device.
In some possible embodiments, the detection sensor may be, but is not limited to, a fiber optic sensor, a laser sensor, a vision sensor.
The following describes a scheme provided by the embodiment of the present application in order to introduce the polyhedral AOI device shown in fig. 1 from the perspective of the working principle of the interaction process of each component in fig. 1, please refer to fig. 8, and fig. 8 is an interaction process diagram of a detection flow provided by the embodiment of the present invention.
S801, the encoding apparatus transmits the encoder value to the control system.
S802, the detection device sends DUT signals to the control system.
S803, when the control system receives the signal of the detection device, a unique ID Label 1 is generated, and the ID Label 1 is stored in a queue.
S804, determining whether the DUT is normal or invalid. If normal, the following procedure is executed:
s805a, the control system generates an extraction serial number ID Label 2, and stores the corresponding relation between the ID Label 2 and the ID Label 1.
S806, the control system sends an extraction serial number ID Label 2 to the image processing system and sends a trigger photographing signal to the image acquisition device.
S807, the image acquisition apparatus transmits the image to the image processing system.
S808, the image processing system performs image processing and binds the processing result with the ID Label 2.
S809, the image processing system sends the bound ID Label 2 and the processing result to the control system.
S810, the control system restores the ID Label 1 according to the corresponding relation between the ID Label 2 and the ID Label 1.
S811a, the control system sends the comprehensive detection result of the DUT and the ID Label 1 to the material distributing system.
If the failure occurs, the following procedure is executed:
s805b, the control system generates a failure identification ID Label 2, and stores the corresponding relation between the ID Label 2 and the ID Label 1.
S811b, the control system sends an ID Label 1 to the dispensing system.
In order to implement the steps in the foregoing embodiments to achieve the corresponding technical effects, the image feature extraction method provided in the embodiments of the present application may be implemented in a hardware device or in a software module, and when the image feature extraction method is implemented in a software module, the embodiments of the present application further provide an image feature extraction apparatus, please refer to fig. 9, fig. 9 is a functional block diagram of a detection apparatus provided in the embodiments of the present application, and the detection apparatus 400 may include:
a determining module 410, configured to determine whether the current device under test is invalid or normal;
the generating module 420 is configured to generate a corresponding failure identifier according to the classification serial number of the current device under test if the current device under test fails; the failure identification is not sent to the image processing system to obtain a detection result; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested; the extraction sequence number of the current device to be tested and the extraction sequence number of the last normal device to be tested form a continuous sequence, and the extraction sequence number is used for indicating the image processing system to provide a detection result according to the continuous sequence.
It is to be understood that the determining module 410 and the generating module 420 may cooperate to perform steps S301 to S303 in fig. 3 to achieve corresponding technical effects.
Optionally, the detecting device 400 further includes a correction module for: acquiring the currently generated extraction sequence number and the triggering times of an image acquisition device; if the sequence number corresponding to the extraction sequence number is inconsistent with the triggering frequency, determining that the image processing system is not receiving the image; and correcting the extraction sequence number according to the triggering times. The image acquisition device is used for acquiring images of the tested device and sending the generated images to the image processing system for processing so as to obtain the detection result.
Optionally, the detecting device 400 further includes a restoring module and a sending module, where the restoring module is configured to determine, when receiving the extraction sequence number sent by the image processing system and a detection result corresponding to the extraction sequence number, a classification sequence number corresponding to the detection result according to a correspondence between the extraction sequence number and the classification sequence number; and the sending module is used for sending the detection result and the classification serial number corresponding to the detection result to the material distributing system so that the classification system classifies the tested devices corresponding to the classification serial number.
Optionally, the determining module 410 is specifically configured to: detecting whether the distance between the current measured device and the last measured device is larger than or equal to a preset distance threshold value; if the distance is greater than or equal to the preset distance threshold, determining that the current tested device is normal; and if the distance is smaller than the preset distance threshold value, determining that the current tested device fails.
Optionally, the sending module is further configured to stop sending a trigger signal to the image acquisition device if it is determined that the current device under test fails; if the current device to be tested is determined to be normal, sending a trigger signal to the image acquisition device when the current device to be tested is determined to reach the position of the image acquisition device, so that the image acquisition device can acquire images of the current device to be tested.
Optionally, the generating module 420 is further configured to generate, when receiving a detection signal of the detection sensor, a serial number that is continuous with a classification serial number of a last device under test, as the classification serial number corresponding to the current device under test.
Optionally, the determining module 410 is further configured to: and determining whether the current tested device reaches the position of the image acquisition device according to the obtained encoder value.
The embodiment of the application also provides a detection device, which comprises a control system and an image processing system.
The control system is used for determining whether the current tested device is invalid or normal; if the current device to be tested fails, generating a corresponding failure identifier according to the classification serial number of the current device to be tested; the failure identification is not sent to the image processing system to obtain a detection result; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested according to the classification sequence number of the current device to be tested and the extraction sequence number of the last normal device to be tested;
the control system is also used for sending the extraction sequence number to the image processing system;
and the image processing system is used for obtaining the detection result of the current tested device according to the extraction sequence number and sending the extraction sequence number and the detection result to the control system.
In some possible embodiments, the detection device described above may be, but is not limited to, a polyhedral AOI device as shown in FIG. 1.
It will be appreciated that the above-described detection device may be used to perform the steps shown in the figures to achieve the corresponding technical effects.
The embodiment of the application also provides an electronic device, which can be other terminals with data processing functions, and the application is not limited.
Fig. 10 is a schematic block diagram of an electronic device according to an embodiment of the present application. The electronic device 50 comprises a communication interface 501, a processor 502 and a memory 503. The processor 502, the memory 503 and the communication interface 501 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 503 may be used to store software programs and modules, such as program instructions/modules corresponding to the detection methods provided in the embodiments of the present application, and the processor 502 executes the software programs and modules stored in the memory 503, thereby performing various functional applications and data processing. The communication interface 501 may be used for communication of signaling or data with other node devices. The electronic device 50 may have a plurality of communication interfaces 501 in this application.
The Memory 503 may be, but is not limited to, random access Memory (RandomAccess Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 502 may be an integrated circuit chip with signal processing capabilities. The processor may be a general-purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
Alternatively, when the detection method is implemented in the form of a software module, each functional module in the detection apparatus 400 according to the embodiment of the present application may be stored in a memory in the form of software or Firmware (Firmware) or be cured in an Operating System (OS) of the electronic device 50, and may be executed by the processor 502 in the electronic device 50. Meanwhile, data, codes of programs, and the like necessary for executing the above-described modules may be stored in the memory 503.
The present embodiments also provide a readable storage medium having stored thereon a computer program which, when executed by a processor, implements a detection method according to any of the foregoing embodiments. The computer readable storage medium may be, but is not limited to, a usb disk, a removable hard disk, ROM, RAM, PROM, EPROM, EEPROM, a magnetic disk, or an optical disk, etc. various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A method of detection, the method comprising:
determining whether the current device to be tested is invalid or normal; the distance between the current measured device and the last measured device obtained by failure is too close or is adhered;
if the current device to be tested fails, generating a corresponding failure identifier according to the classification serial number of the current device to be tested; the failure identification is not sent to the image processing system to obtain a detection result; the failure mark represents that the current tested device has no detection result and needs to be re-detected; the detection result is used for determining the classification result of the device to be detected;
if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested, and obtaining a detection result of the current device to be tested according to the extraction sequence number;
The extraction serial number of the current tested device and the extraction serial number of the last normal tested device form a continuous sequence; the continuous sequence is used for correctly extracting the detection result corresponding to each extraction sequence number and enabling the extraction sequence numbers pushed to the image acquisition device by the control system to be continuous, so that the image acquisition device can judge whether the image processing system has the problem of missing images or not by combining the triggering times.
2. The method of detection according to claim 1, wherein the method further comprises:
acquiring the currently generated extraction sequence number and the triggering times of an image acquisition device;
if the sequence number corresponding to the extraction sequence number is inconsistent with the triggering frequency, determining that the image processing system is not receiving the image;
correcting the extraction sequence number according to the triggering times;
the image acquisition device is used for acquiring images of the tested device and sending the generated images to the image processing system for processing so as to obtain the detection result.
3. The detection method according to claim 1 or 2, characterized in that the method further comprises:
when the extraction serial number and the detection result corresponding to the extraction serial number sent by the image processing system are received, determining the classification serial number corresponding to the detection result according to the corresponding relation between the extraction serial number and the classification serial number;
And sending the detection result and the classification serial number corresponding to the detection result to a material distribution system so that the material distribution system classifies the tested devices corresponding to the classification serial number.
4. The method of testing of claim 1, wherein determining whether the current device under test is failed or normal comprises:
detecting whether the distance between the current measured device and the last measured device is larger than or equal to a preset distance threshold value;
if the distance is greater than or equal to the preset distance threshold, determining that the current tested device is normal;
and if the distance is smaller than the preset distance threshold value, determining that the current tested device fails.
5. The method of detecting according to claim 4, further comprising:
if the current tested device is determined to be invalid, stopping sending a trigger signal to the image acquisition device;
if the current device to be tested is determined to be normal, sending a trigger signal to the image acquisition device when the current device to be tested is determined to reach the position of the image acquisition device, so that the image acquisition device can acquire images of the current device to be tested.
6. The method of testing of claim 1, wherein prior to determining whether the current device under test is failed or normal, the method further comprises:
when receiving the detection signal of the detection sensor, generating a serial number which is continuous with the classification serial number of the last tested device and is used as the classification serial number corresponding to the current tested device.
7. The method of detecting according to claim 5, wherein before sending a trigger signal to the image acquisition device, the method further comprises:
and determining whether the current tested device reaches the position of the image acquisition device according to the obtained encoder value.
8. A detection apparatus, characterized by comprising:
the determining module is used for determining whether the current device to be tested is invalid or normal; the current measured device obtained by failure is too close to or is adhered to the last measured device;
the generation module is used for generating a corresponding failure identifier according to the classification serial number of the current tested device if the current tested device fails; the failure identification is not sent to the image processing system to obtain a detection result; the failure mark represents that the current tested device has no detection result and needs to be re-detected; the detection result is used for determining the classification result of the device to be detected; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested according to the classification sequence number of the current device to be tested and an extraction sequence number of a last normal device to be tested, and obtaining a detection result of the current device to be tested according to the extraction sequence number;
The extraction serial number of the current tested device and the extraction serial number of the last normal tested device form a continuous sequence; the continuous sequence is used for correctly extracting the detection result corresponding to each extraction sequence number and enabling the extraction sequence numbers pushed to the image acquisition device by the control system to be continuous, so that the image acquisition device can judge whether the image processing system has the problem of missing images or not by combining the triggering times.
9. A detection apparatus, characterized by comprising a control system and an image processing system;
the control system is used for determining whether the current tested device is invalid or normal; the current measured device obtained by failure is too close to or is adhered to the last measured device; if the current device to be tested fails, generating a corresponding failure identifier according to the classification serial number of the current device to be tested; the failure identification is not sent to the image processing system to obtain a detection result; the failure mark represents that the current tested device has no detection result and needs to be re-detected; the detection result is used for determining the classification result of the device to be detected; if the current device to be tested is normal, generating an extraction sequence number of the current device to be tested;
The control system is also used for sending the extraction sequence number to the image processing system;
the image processing system is used for obtaining the detection result of the current device to be detected according to the extraction sequence number and sending the extraction sequence number and the detection result to the control system; the extraction serial number of the current tested device and the extraction serial number of the last normal tested device form a continuous sequence; the continuous sequence is used for correctly extracting the detection result corresponding to each extraction sequence number and enabling the extraction sequence numbers pushed to the image acquisition device by the control system to be continuous, so that the image acquisition device can judge whether the image processing system has the problem of missing images or not by combining the triggering times.
10. An electronic device comprising a processor and a memory, the memory storing a computer program executable by the processor, the processor being executable to implement the detection method of any one of claims 1-7.
11. A readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the detection method according to any one of claims 1-7.
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