JP7844658B2 - Deterioration determination device - Google Patents

Description

This specification discloses a deterioration detection device.

Conventionally, adjustment devices are known that use jig tapes to adjust the amount of tape fed in a tape feeder. For example, Patent Document 1 discloses a device that sets the tape feed amount so that the hole to be observed in the image of the jig tape captured by a camera overlaps with a defined component suction position in the image, and controls the motor so that the tape is fed out by the set amount.

Japanese Patent Publication No. 2007-158047

However, the adjustment device described above does not take into account the deterioration of the jig tape itself due to prolonged use. Therefore, using a deteriorated jig tape to adjust the feed amount with the aforementioned adjustment device may actually worsen the feed accuracy.

This disclosure was made to solve the aforementioned problems, and its primary purpose is to enable proper detection of deterioration of the jig tape.

To achieve the primary objectives described above, this disclosure employs the following measures:

The deterioration determination device disclosed herein is
A deterioration determination device applied to a tape feeder that feeds out a tape in which cavities are formed at predetermined intervals and components are housed in the cavities, and which determines whether or not a jig tape used for inspecting the tape feeder has deteriorated,
An imaging unit capable of capturing an image of the jig tape being fed out from the tape feeder,
A deterioration determination unit acquires the image from the imaging unit and processes the acquired image to determine whether or not the jig tape has deteriorated,
The gist of it is that it is equipped with the following features.

This degradation detection device captures images of the jig tape being fed from the tape feeder, acquires images of the jig tape, and processes the acquired images to determine whether or not the jig tape has deteriorated. This allows for the proper detection of jig tape deterioration.

This is a schematic diagram of the feeder inspection device 10. This is a perspective view of the feeder set stand 20 and the tape feeder 30. This is a side view of the feeder set stand 20 and the tape feeder 30. This is a perspective view of the reel 32 and the component tape 50. This is a perspective view of the reel 32 and the jig tape 60. This is a flowchart showing an example of a degradation detection routine. This is a flowchart showing an example of a wear detection subroutine. This is a flowchart showing an example of a bend detection subroutine. This shows an example of a hole deformation detection subroutine. This is an explanatory diagram showing an example of jig tape image Im1. This is an explanatory diagram showing an example of jig tape image Im1. This is an explanatory diagram showing an example of jig tape image Im1. This is an explanatory diagram showing an example of a method for calculating the degree of distortion. This is an explanatory diagram showing an example of a method for calculating the degree of distortion. This is an explanatory diagram showing an example of a method for calculating the degree of distortion. This is an explanatory diagram illustrating an example of the relationship between the number of degradation detections and the value of the hole deformation detection counter. This is an explanatory diagram showing an example of deterioration judgment result 74a.

Next, embodiments of the present disclosure will be described with reference to the drawings. Figure 1 is a schematic diagram of the feeder inspection device 10. Figure 2 is a perspective view of the feeder set stand 20 and the tape feeder 30. Figure 3 is a side view of the feeder set stand 20 and the tape feeder 30. Figure 4 is a perspective view of the reel 32 and the component tape 50. Note that the left-right direction in Figures 1 to 3 is the X direction (perpendicular to the plane of the paper in Figures 1 and 3), the front-back direction is the Y direction, and the up-down direction is the Z direction.

The feeder inspection device 10 is a device for inspecting the tape feeding accuracy of the tape feeder 30. The tape feeder 30 is mounted on a component mounting machine that mounts components P onto a circuit board and supplies components P to the component mounting machine. As shown in Figure 2, the tape feeder 30 has a reel holding section 31, a main body section 33, a rail 35 provided at the lower part of the main body section 33, and a connector 36.

The reel holding portion 31 is a member capable of holding a reel 32 (see Figure 4) around which a component tape 50 (see Figure 4) is wound. The component tape 50 contains a component P in each of a plurality of cavities 51 formed at predetermined intervals. The main body portion 33 has a tape feeding mechanism 34 that feeds the component tape 50 to the component supply position L on its upper surface. As shown in Figure 3, the tape feeding mechanism 34 includes a motor 34a configured as a stepping motor, a drive gear 34b provided on the rotation shaft of the motor 34a, a transmission gear 34c that meshes with the drive gear 34b, and a sprocket 34d having sprocket teeth on its outer circumference that meshes with the transmission gear 34c. The tape feeding mechanism 34 engages the sprocket teeth of the sprocket 34d with the sprocket holes 52 formed in the component tape 50, and intermittently rotates the sprocket 34d by the drive of the motor 34a, thereby pulling the component tape 50 from the reel 32 and sequentially feeding it to the component supply position L. A fiducial mark M is formed near the component supply position L on the upper surface of the main body 33. The fiducial mark M is a reference mark used to recognize the position of the cavity 51.

The feeder inspection device 10 comprises a feeder set stand 20, a camera 40, and a control device 70. The feeder set stand 20 is for holding the tape feeder 30. As shown in Figure 1, the feeder set stand 20 has a substantially L-shape in side view. As shown in Figure 2, the feeder set stand 20 is provided with one slot 25 for inserting and removing the tape feeder 30. The rail 35 of the tape feeder 30 is inserted into the slot 25. A connector 26 corresponding to the slot 25 is provided on the vertical wall at the rear end of the feeder set stand 20. The tape feeder 30 is electrically connected to the control device 70 by connecting the connector 36 to the connector 26 on the feeder set stand 20.

Camera 40 captures an image of the component supply position L of the tape feeder 30 from above. Camera 40 is configured, for example, as a color camera. Camera 40 is mounted facing downwards above the feeder set stand 20 by a camera holding member 41. Therefore, when the tape feeder 30 is set on the feeder set stand 20, the component supply position L comes into the camera's field of view, and an image of the component supply position L is captured. The image captured by camera 40 is output to the control device 70.

The control device 70 is a device that controls the entire feeder inspection device 10. The control device 70 is configured as a computer equipped with a CPU 71, RAM 72, ROM 73, storage (HDD or SSD) 74, etc. The control device 70 outputs control signals to the camera 40 and the tape feeder 30. The control device 70 also receives image data from the camera 40.

Next, the operation of the feeder inspection device 10 configured in this manner will be described. First, the feed accuracy measurement process, which measures the feed accuracy when the tape feeder 30 feeds out the component tape 50, will be described. This process is executed by the CPU 71 of the control device 70 after the deterioration determination routine, described later, determines that the jig tape 60 has not deteriorated. Before performing the feed accuracy measurement, the operator makes some preparations. Specifically, the operator first sets a reel 32, around which the jig tape 60 is wound instead of the component tape 50, in the reel holding section 31 of the tape feeder 30, as shown in Figure 5. The jig tape 60 is, for example, a metal tape. The jig tape 60 has a plurality of observation holes 61 formed at predetermined intervals and a plurality of sprocket holes 62 formed at predetermined intervals. The observation holes 61 are holes provided at positions corresponding to the cavities 51 of the component tape 50. The sprocket hole 62 is a hole provided in the component tape 50 at a position corresponding to the sprocket hole 52, and the jig tape 60 is fed out by rotating the sprocket 34d with the sprocket teeth of the sprocket 34d engaged with the sprocket hole 62. Next, the operator pulls the jig tape 60 from the reel 32 and fits the sprocket teeth of the sprocket 34d into the sprocket hole 62. Subsequently, the operator sets the tape feeder 30 on the feeder set stand 20. Then, the operator outputs a processing start instruction to the control device 70 via an input device (not shown).

When the feed accuracy measurement process is started, the CPU 71 controls the camera 40 so that an image of the component supply position L is captured. Next, the CPU 71 recognizes the fiducial mark M based on the brightness value in the image. Subsequently, the CPU 71 calculates the ideal center position, which is the ideal center position of the observation hole 61 based on the center position of the fiducial mark M in the image. Specifically, the CPU 71 calculates the ideal center position of each observation hole 61 by adding the relative center position, which is the relative center position of each observation hole 61 with respect to the center position of the fiducial mark M in the image. The relative center positions are stored in the storage 74 in advance. Then, the CPU 71 recognizes the observation hole 61 based on the brightness value of each pixel and calculates the actual center position, which is the actual center position of the observation hole 61 in the image. Next, the CPU 71 measures the feed accuracy of the tape feeder 30 for each observation hole 61 based on the difference in distance (amount of deviation) between the ideal center position and the actual center position.

Next, the process for determining the deterioration of the jig tape 60 will be explained using Figures 6 to 13. Figure 6 is a flowchart of an example of a deterioration determination routine. This routine is executed by the CPU 71 of the control device 70 after the operator has completed the preliminary preparations described above and prior to the feed accuracy measurement process. In the deterioration determination routine, in this embodiment, the control device 70 captures multiple images of the jig tape 60 at different feed positions and determines whether the jig tape 60 has deteriorated by detecting wear, bending, and deformation of holes (observation holes 61 and sprocket holes 62) in each image.

If the control device 70 determines in this routine that the jig tape 60 is not deteriorated, it then measures the feeding accuracy of the tape feeder 30. In other words, the feeder inspection device 10 can automatically determine the deterioration of the jig tape 60 and measure the feeding accuracy of the tape feeder 30. On the other hand, if the control device 70 determines in this routine that the jig tape 60 is deteriorated, it prompts the operator to replace the jig tape 60.

When this routine is started, the CPU 71 sets the variable i to the value 1 (S100). Next, the CPU 71 sets the values of the wear detection counter, the bend detection counter, and the hole deformation detection counter to 0 (S105). Here, the wear detection counter counts the number of images in which wear is detected. The bend detection counter counts the number of images in which bends of the jig tape 60 are detected. Furthermore, the detection counter counts the number of deformed holes (observation holes 61 and sprocket holes 62) in the jig tape 60. Subsequently, the CPU 71 controls the camera 40 to capture an image of the jig tape 60 (hereinafter referred to as the jig tape image Im1) (S110).

Next, the CPU 71 recognizes the fiducial mark M based on the brightness value of each pixel constituting the jig tape image Im1 captured in S110 (S115). Subsequently, the CPU 71 sets an abnormality detection area A within the jig tape image Im1 (S120). The abnormality detection area A is the area in the jig tape image Im1 where the jig tape 60 is captured. Specifically, the CPU 71 sets an abnormality detection area A with a predetermined shape centered at a position a predetermined distance away in a predetermined direction from the fiducial mark M. Then, the CPU 71 executes the wear detection subroutine shown in Figure 7 (S125).

When the wear detection subroutine is started, the CPU 71 sets the value of the inspection counter to 0 (S200). Next, the CPU 71 sets the target pixel within the abnormality detection area A (S205). Subsequently, the CPU 71 obtains the brightness value of the target pixel (S210). Then, the CPU 71 determines whether the brightness value of the pixel obtained in S210 is below the wear threshold (S215). The wear threshold is stored in the storage 74 in advance, and its details will be described later.

If the brightness value of the target pixel is below the wear threshold, the CPU 71 makes a positive determination. On the other hand, if the brightness value of the target pixel is greater than the wear threshold, the CPU 71 makes a negative determination. If a positive determination is made in S215, the CPU 71 increases the value of the inspection counter by 1 (S220). After a negative determination is made in S215 or after S220, the CPU 71 determines whether the inspection has been completed for all pixels in the abnormality detection area A (S225). If there are pixels for which the brightness value has not yet been acquired, the CPU 71 makes a negative determination and sets a different pixel from the one set as the target pixel this time as the target pixel (S230). After S230, the CPU 71 returns to S210 again and acquires the brightness value of the target pixel.

On the other hand, if it is determined in S225 that the inspection has been completed for all pixels within the abnormality detection area A, the CPU 71 determines whether the value of the inspection counter is greater than the first abnormality threshold (S235). Here, the wear threshold is set to a value that is sufficiently small compared to the brightness value of the parts of the jig tape 60 that are not worn in the jig tape image Im1. This is for the following reason: The jig tape 60 is made of metal, and when it wears down, it loses its luster. Therefore, in the jig tape image Im1, the worn parts of the jig tape 60 appear particularly dark compared to the unworn parts. By setting the wear threshold to such a value, the pixels of the parts that appear particularly dark in the jig tape image Im1 can be detected in S215 of this subroutine. Also, since the inspection counter counts the number of pixels with a brightness of less than or equal to the wear threshold, it represents the size (area) of the dark parts. The first abnormality threshold is used to determine whether the jig tape 60 is worn or not, based on the number of pixels (value of the inspection counter) whose brightness value is less than or equal to the wear threshold, that is, the size (area) of the darkened parts, and defines the upper limit of the inspection counter value that is allowed to be considered a normal value. The first abnormality threshold is predetermined and stored in the storage 74. If the value of the inspection counter is greater than the first abnormality threshold, the CPU 71 determines that the jig tape 60 is worn and makes an affirmative judgment. On the other hand, if the value of the inspection counter is less than or equal to the first abnormality threshold, the CPU 71 determines that the jig tape 60 is not worn and makes a negative judgment. Here, an example of a jig tape image Im1 captured of a jig tape 60 having wear W on its surface is shown in Figure 10A.

If a positive determination is made in S235, the CPU 71 increases the value of the wear detection counter by 1 (S240). After a negative determination is made in S235 or after S240, the CPU 71 proceeds to S130 of the deterioration determination routine shown in Figure 6.

Returning to the degradation judgment routine, the CPU 71 executes the bend detection subroutine shown in Figure 8 (S130). When the bend detection subroutine is started, the CPU 71 sets the value of the inspection counter to 0 (S300), sets the target pixel within the abnormality detection area A (S305), and obtains the brightness value of the target pixel (S310), similar to steps S200 to S210 of the wear detection subroutine. Then, the CPU 71 determines whether the brightness value of the pixel obtained in S310 is greater than the wear threshold and less than or equal to the bend threshold (S315). The bend threshold is stored in the storage 74 beforehand, and its details will be described later.

If the brightness value of the target pixel is greater than the wear threshold and less than or equal to the bending threshold, the CPU 71 makes a positive determination. On the other hand, if the brightness value of the target pixel is greater than the bending threshold, the CPU 71 makes a negative determination. If a positive determination is made in S315, the CPU 71 increases the value of the inspection counter by 1 (S320). After a negative determination is made in S315 or after S320, the CPU 71 determines whether the inspection has been completed for all pixels in the abnormality detection area A (S325). If there are pixels for which the brightness value has not yet been acquired, the CPU 71 makes a negative determination and sets a different pixel from the one set as the target pixel this time as the target pixel (S330). After S330, the CPU 71 returns to S310 again and acquires the brightness value of the target pixel.

On the other hand, if it is determined in S325 that the inspection has been completed for all pixels within the abnormality detection area A, the CPU 71 determines whether the value of the inspection counter is greater than the second abnormality threshold (S335). Here, the bending threshold is set to a value greater than the wear threshold. Also, the bending threshold is set to a value smaller than the brightness value of the parts of the jig tape 60 that are not bent in the jig tape image Im1. This is for the following reason: The jig tape 60 is made of metal, and when it bends, the direction of light reflection changes. Therefore, in the jig tape image Im1, the bent parts of the jig tape 60 appear brighter than the worn parts, but darker than the parts that are not bent. By setting the bending threshold to such a value, the pixels of the dark parts in the jig tape image Im1 can be detected in S315 of this subroutine. Also, since the inspection counter counts the number of pixels with a brightness greater than the wear threshold and less than or equal to the bending threshold, it represents the size (area) of the dark parts. The second abnormality threshold is used to determine whether the jig tape 60 is bent or not, based on the number of pixels (value of the inspection counter) whose brightness value is greater than the wear threshold and less than or equal to the bend threshold, that is, the size (area) of the darkened part, and defines the upper limit of the inspection counter value that is allowed to be considered normal. If the value of the inspection counter is greater than the second abnormality threshold, the CPU 71 determines that the jig tape 60 is bent and makes an affirmative judgment. On the other hand, if the value of the inspection counter is less than or equal to the second threshold, the CPU 71 determines that the jig tape 60 is not bent and makes a negative judgment. Here, an example of a jig tape image Im1 taken of a jig tape 60 having a bend B is shown in Figure 10B.

If a positive determination is made in S335, the CPU 71 increases the value of the bending detection counter by 1 (S340). After a negative determination is made in S335 or after S340, the CPU 71 proceeds to S135 of the degradation determination routine shown in Figure 6.

Returning to the degradation judgment routine, the CPU 71 executes the hole deformation detection subroutine shown in Figure 9 (S135). Upon starting the hole deformation detection subroutine, the CPU 71 recognizes holes (observation hole 61 and sprocket hole 62) within the abnormality detection area A (S400). Specifically, the CPU 71 recognizes areas where the brightness value of pixels is lower than the surrounding area as holes in the jig tape image Im1. Next, the CPU 71 sets one of the holes recognized in S400 as the target hole (S405).

Next, the CPU 71 calculates the degree of distortion of the target hole (S410). Here, the method for calculating the degree of distortion of the hole will be explained using Figures 11A to 11C as an example, with the calculation of the degree of distortion when the observation hole 61 is set as the target hole in S405. For the sake of explanation, the observation hole 61 is shown in white in Figures 11A to 11C. First, as shown in Figure 11A, the CPU 71 finds the centroid G of the observation hole 61. Then, the CPU 71 determines the circle C1 that has the smallest radius R1 among the circles tangent to the observation hole 61, with the centroid G as the center. Next, as shown in Figure 11B, the CPU 71 determines the circle C2 that has the largest radius R2 among the circles tangent to the observation hole 61, with the centroid G as the center. Subsequently, as shown in Figure 11C, the CPU 71 calculates the difference ΔR between the radius R2 of circle C2 and the radius R1 of circle C1. The CPU 71 then calculates the degree of distortion of the observation hole 61 by dividing the difference ΔR by 2.

The CPU 71 then determines whether the degree of distortion of the target hole is greater than the third abnormal threshold (S415). The third abnormal threshold is used to determine whether the deformation (degree of distortion) of the target hole is acceptable, and defines the upper limit of the degree of distortion that is acceptable as a normal value. The third abnormal threshold is predetermined and stored in the storage 74. If the degree of distortion of the target hole is less than or equal to the third abnormal threshold, the CPU 71 determines that the deformation of the hole is acceptable and makes a negative determination. On the other hand, if the degree of distortion of the target hole is greater than the third abnormal threshold, the CPU 71 determines that the deformation of the target hole is not acceptable and makes an affirmative determination. If an affirmative determination is made in S415, the CPU 71 increases the value of the hole deformation detection counter by 1 (S420). Here, an example of a jig tape image Im1 taken of the jig tape 60 in which the holes (observation hole 61 and sprocket hole 62) have been deformed is shown in Figure 10C. In Figure 10C, the outline of the hole, assuming it is not deformed, is shown by a white dashed line.

After a negative determination is made in S415 or after S420, the CPU 71 determines whether the inspection has been completed for all holes in the abnormality detection area A (S425). If a negative determination is made in S425, the CPU 71 sets another hole as the target hole (S430), returns to S410, and calculates the degree of distortion of the target hole. On the other hand, if a positive determination is made in S425, the CPU 71 proceeds to S140 of the deterioration determination routine shown in Figure 6.

Returning to the degradation determination routine, the CPU 71 increments the value of variable i by i (S140). Next, the CPU 71 determines whether the value of variable i is greater than a specified number of times (for example, several dozen times) (S145). If the value of variable i is less than or equal to the specified number of times, the CPU 71 determines that the process is not yet complete and makes a negative determination. On the other hand, if the value of variable i is greater than the specified number of times, the CPU 71 determines that the process is complete and makes an positive determination.

If a negative determination is made in S145, the CPU 71 controls the tape feeding mechanism 34 of the tape feeder 30 so that a predetermined amount of jig tape 60 is fed out (S150), and then returns to S110 to control the camera 40 so that an image of the jig tape 60 is captured at a feeding position different from the position where it was previously captured. On the other hand, if a positive determination is made in S145, the CPU 71 determines whether the value of the wear detection counter is less than the first lifetime threshold (S155). The first lifetime threshold is defined as the upper limit of the wear detection counter value that is allowed with respect to the wear of the jig tape 60, based on the value of the wear detection counter. The first lifetime threshold is predetermined and stored in the storage 74.

On the other hand, if a positive determination is made in S155, the CPU 71 determines whether the value of the wear detection counter is less than the second lifetime threshold (S160). The second lifetime threshold is defined as the upper limit of the value of the bend detection counter that is allowed with respect to the bending of the jig tape 60, based on the value of the bend detection counter. The second lifetime threshold is predetermined and stored in the storage 74.

On the other hand, if a positive determination is made in S160, the CPU 71 determines whether the value of the hole deformation detection counter is less than the third lifetime threshold (S165). The third lifetime threshold is defined as the upper limit of the hole deformation detection counter value that is permissible with respect to hole deformation in the jig tape 60, based on the value of the hole deformation detection counter. The third lifetime threshold is predetermined and stored in the storage 74.

If a positive determination is made in S165, the CPU 71 determines that the jig tape 60 is not deteriorated (S170). On the other hand, if a negative determination is made in S155, after a negative determination is made in S160, or after a negative determination is made in S165, the CPU 71 determines that the jig tape 60 is deteriorated (S175). In other words, if the value of any one of the three detection counters is greater than or equal to the corresponding life threshold, the CPU 71 determines that the jig tape 60 is deteriorated. On the other hand, if the values of all detection counters are less than the corresponding life threshold, the CPU 71 determines that the jig tape 60 is not deteriorated. If the CPU 71 determines that the jig tape is deteriorated, it displays a message on a display device (not shown) indicating that the jig tape 60 needs to be replaced, prompting the operator to replace the jig tape 60.

Here, we will explain how the CPU 71 determines that the jig tape 60 has deteriorated, using Figure 12. Figure 12 is an explanatory diagram showing an example of the relationship between the number of deterioration judgments (the number of times this routine has been executed so far) and the value of the hole deformation detection counter. As shown in Figure 12, when the value of the hole deformation detection counter exceeds the third lifetime threshold (see the double circle in Figure 12), the CPU 71 determines that the jig tape 60 has deteriorated. In Figure 12, the third lifetime threshold is shown by a dashed line. Also in Figure 12, for convenience, the change in the value of the hole deformation detection counter when the deterioration judgment process and the feed accuracy measurement process described above are performed using the jig tape 60 even after the value of the hole deformation detection counter exceeds the third lifetime threshold is shown by a dashed line.

After S170 or S175, the CPU 71 updates the degradation determination result 74a (S180). Specifically, as shown in Figure 13, the CPU 71 associates the degradation determination number (N in this embodiment) with the value of the wear detection counter, the value of the bending detection counter, and the value of the hole deformation counter, and stores them in the storage 74. After S180, the CPU 71 terminates this routine.

Here, we will clarify the correspondence between the components of this embodiment and the components of the present disclosure. Specifically, the feeder inspection device 10 of this embodiment corresponds to the deterioration determination device of the present disclosure, the camera 40 corresponds to the imaging unit, and the control device 70 corresponds to the deterioration determination unit.

The feeder inspection device 10 described in detail above captures a jig tape image Im1 of the jig tape 60 fed from the tape feeder 30, acquires the jig tape image Im1, and processes the acquired jig tape image Im1 to determine whether or not the jig tape 60 has deteriorated. This makes it possible to appropriately detect the deterioration of the jig tape 60.

Furthermore, in the feeder inspection device 10, the camera 40 captures multiple jig tape images Im1 of the jig tape 60 at different feeding positions, and the control device 70 acquires multiple jig tape images of the jig tape 60, processes each of the acquired jig tape images Im1 to detect whether or not there is an abnormality in the jig tape 60 for each jig tape image Im1, and determines whether or not the jig tape 60 has deteriorated based on the number of jig tape images Im1 in which abnormalities were detected. This makes it possible to perform deterioration determination evenly on long jig tapes 60.

Furthermore, in the feeder inspection device 10, the control device 70 extracts multiple inspection items of the jig tape 60 (wear of the jig tape 60, bending of the jig tape 60, and hole deformation of the jig tape 60) from the jig tape image Im1, and determines whether or not the jig tape 60 has deteriorated for each judgment item. This makes it possible to respond to various types of deterioration of the jig tape 60.

Furthermore, in the feeder inspection device 10, the jig tape 60 is made of metal, and the control device 70 determines whether or not the jig tape 60 has deteriorated based on the brightness value of the pixels in the jig tape image Im1. This makes it relatively easy to detect deterioration of the metal jig tape 60. This is because metal jig tapes 60 are prone to abnormalities such as wear and bending, and when these abnormalities occur, the brightness value of the pixels in the jig tape image Im1 changes.

Furthermore, in the feeder inspection device 10, the jig tape 60 has multiple observation holes 61 at predetermined intervals that correspond to sprocket holes 62 or cavities 51 that engage with the sprocket that feeds the jig tape 60, and the control device 70 determines whether the jig tape 60 has deteriorated based on the shape of the sprocket holes 62 or observation holes 61 in the jig tape image Im1. As a result, if the feeding accuracy is measured as an inspection of the tape feeder 30, the feeding accuracy can be inspected with high accuracy. If the sprocket holes 62 are deformed, the jig tape 60 cannot be fed out by the desired amount. Also, if the observation holes 61 are deformed, the position of the cavity cannot be accurately recognized. Thus, the shape of the holes has a particularly large impact on the measurement of the feeding accuracy of the tape feeder.

It goes without saying that this disclosure is not limited in any way to the embodiments described above, and can be implemented in various forms as long as they fall within the technical scope of this disclosure.

In the embodiment described above, the wear threshold, the first abnormal threshold, and the first lifetime threshold are predetermined and stored in the storage 74. However, at least one of the wear threshold, the first abnormal threshold, and the first lifetime threshold may be arbitrarily set by the operator.

In the embodiment described above, the bending threshold, the second abnormal threshold, and the second lifetime threshold are predetermined and stored in the storage 74. However, at least one of the bending threshold, the second abnormal threshold, and the second lifetime threshold may be arbitrarily set by the operator.

In the embodiment described above, the third abnormal threshold and the third lifetime threshold are predetermined and stored in the storage 74. However, either the third abnormal threshold or the third lifetime threshold may be arbitrarily set by the operator.

In the embodiment described above, the CPU 71 executes a wear detection subroutine, a bending detection subroutine, and a hole deformation detection subroutine in the degradation determination routine. However, the CPU 71 may execute at least one of these subroutines in the degradation determination routine.

In the embodiment described above, the jig tape 60 had multiple observation holes 61 provided at predetermined intervals. However, the jig tape 60 may also have recesses or other marks that are distinguishable from the tape surface instead of observation holes 61.

In the embodiment described above, the jig tape 60 was made of metal. However, the jig tape 60 may also be made of resin. In this case, the hole deformation detection subroutine should be executed in the deterioration determination routine.

In the embodiment described above, the CPU 71 detected hole deformation based on the degree of distortion of the holes (observation hole 61 and sprocket hole 62). However, hole deformation may also be detected based on the shape of the holes other than the degree of distortion, such as the maximum diameter and minimum diameter of the holes.

In the embodiment described above, the jig tape 60 is wound around the reel 32. However, the jig tape 60 may not be wound around the reel 32, but may be fed out in a straight line.

Furthermore, this specification also discloses a technical concept in which "the deterioration determination device described in claim 1" is changed to "the deterioration determination device described in claim 1 or 2" in claim 3 of the original application. In addition, this specification also discloses a technical concept in which "the deterioration determination device described in any one of claims 1 to 3" is changed to "the deterioration determination device described in any one of claims 1 to 4" in claim 5 of the original application.

This disclosure can be used in industries such as the manufacturing of inspection equipment for measuring the feeding accuracy of tape feeders.

10 Feeder inspection device, 20 Feeder set stand, 25 Slot, 26 Connector, 30 Tape feeder, 31 Reel holder, 32 Reel, 33 Main body, 34 Tape feeding mechanism, 34a Motor, 34b Drive gear, 34c Transmission gear, 34d Sprocket, 35 Rail, 36 Connector, 40 Camera, 41 Camera holder, 50 Parts tape, 51 Cavity, 52 Sprocket hole, 60 Jig tape, 61 Observation hole, 62 Sprocket hole, 70 Control device, 71 CPU, 74 Storage, 74a Deterioration judgment result, A Abnormality detection area, B Bending, C1 Circle, C2 Circle, G Center of gravity, Im1 Jig tape image, L Parts supply position, M Fiducial mark, P Parts, R1 Radius, R2 Radius, W Wear.

Claims (5)

A deterioration determination device applied to a tape feeder that feeds out a tape in which cavities are formed at predetermined intervals and components are housed in the cavities, and which determines whether or not a jig tape used for inspecting the tape feeder has deteriorated,
An imaging unit capable of capturing an image of the jig tape being fed out from the tape feeder,
A deterioration determination unit acquires the image from the imaging unit and processes the acquired image to determine whether or not the jig tape has deteriorated,
A device equipped with a deterioration detection mechanism. A deterioration determination device according to claim 1,
The imaging unit captures multiple images of the jig tape at different feed positions.
The deterioration determination unit acquires the plurality of images of the jig tape, processes each of the acquired plurality of images to detect whether or not there is an abnormality in the jig tape for each image, and determines whether or not the jig tape has deteriorated based on the number of abnormalities detected in the plurality of images.
Deterioration determination device. A deterioration determination device according to claim 1,
The deterioration determination unit extracts multiple inspection items of the jig tape from the image and determines whether or not the jig tape has deteriorated for each determination item.
Deterioration determination device. A deterioration determination device according to any one of claims 1 to 3,
The jig tape is made of metal.
The deterioration determination unit determines whether or not the jig tape has deteriorated based on the brightness values of the pixels in the image of the jig tape.
Deterioration determination device. A deterioration determination device according to any one of claims 1 to 3,
The jig tape has a plurality of marks at predetermined intervals that correspond to holes or cavities that engage with the sprocket that feeds the jig tape,
The deterioration determination unit determines whether the jig tape has deteriorated based on the shape of the hole or mark in the image of the jig tape.
Deterioration determination device.