KR200362672Y1 - Multi-function Bed Distinction and Counting System to Vision - Google Patents

Abstract

The present invention relates to a device that can accurately and quickly identify and remove defective products and count regular products for medicines in tablet or capsule form. ㆍ The bottom conveying conveyor and the camera to determine the matching of the reference pattern by preprocessing the shape contour image of the top and bottom of the object, respectively, the rotating drum to reverse the position to check the top and the bottom of the object, and finished the shape inspection. It is characterized by consisting of a counting sensor for counting the objects.

Description

Multi-function Bed Distinction and Counting System to Vision}

The present invention relates to an apparatus for counting the capsules or tablets by determining whether the capsules or tablets have a shape defect and inspecting foreign substances in the process of filling or packaging a medicine having a capsule or tablet form.

In general, unlike a liquid medicine that can be weighed using a weight and filled in a container, a medicine in the form of a tablet or capsule is classified first by determining whether there is a defect in its external shape and then accumulating the weight difference of each tablet or capsule. In order to prevent errors in counting, each selected individual is counted and filled or packed in a container.

In the conventional capsule or tablet shape discrimination discrimination is generated by using a vibrating feeder to transfer the object to the inspection object identified by the sensor to generate the image coordinates by the machine vision using the CCD and the number of pixels corresponding to the area of the inspection object in the coordinates It has been known to determine whether there is a defect in comparison with the reference by counting and comparing the reference area with the reference area or by calculating the number of pixels corresponding to the length of the inspection object using a linear sensor array.

However, it was not possible to discriminate the defects based on the area or length of the test object as described above if the test object was absorbed or cracked, or if there were foreign matters. Difficult to obtain the foreign matters had a problem in that the presence of the foreign matter by a separate X-Ray equipment after filling or packaging the medicine in the container.

The present invention was devised to solve the above problems, and it is possible to inspect both before and after the inspection object to quickly and accurately determine and count the shape defects such as the absorption and the absence of tablets or capsule-type medicines. It is possible to distinguish the presence of shape defects by the contour of the object by the vision algorithm, so that it is not necessary to be influenced by the outside when the image is acquired. It aims to provide.

1 is a schematic perspective view of a conventional shape recognition counter

Figure 2 is a schematic perspective view of a multi-functional failure determination and counting system using the present invention vision

Figure 3 is a perspective view of the subject innovation rotation alignment device and vision system

Figure 4 is a cross-sectional view of the rotating drum to reverse the top and bottom of the subject innovation

5 is an operation flowchart of the present invention system

※ Explanation of code for main part of drawing

1. Vibration feeder 2. Sensor

3. Camera

11. Supply Hopper 12. Object

13. Vibrating Hopper 14. Rotary Aligner

15. Gate 16. Upper conveying conveyor

17. Sensor 18, 18 '. camera

19. Defective outlet 20. Rotating drum

21.Subconveyor Conveyor 22. Vision System

23. Counting Sensor 24. Tension Controller

25. Product Container

Multifunctional failure identification and counting system using a vision that can recognize the shape of the subject drug product for the above purpose is a vibration hopper for distributing the objects of the supplied drug, and the rotational alignment to arrange the objects in a row to the gate It consists of an apparatus, an upper and lower conveying conveyor for conveying the objects, a rotating drum for reversing the front and rear surfaces of the object, and a vision system for recognizing and counting the shapes of the objects on the upper and lower conveying conveyors.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in detail.

Figure 2 is a schematic perspective view of a multi-functional failure determination and counting system using the present invention vision, Figure 3 is a perspective view of the rotation alignment device and the vision system of the present invention, Figure 4 is a rotating drum to reverse the top and bottom of the subject innovation 5 is a flowchart illustrating an operation of the present invention system.

As shown in the figure, the object 12 of the chemicals supplied from the supply hopper 11 is dispersed in the vibration hopper 13 and a certain amount is supplied to the rotational alignment device 14 and in a row by the rotation of the rotational alignment device. Passed through the gate 15 while being aligned.

The distance between the objects is automatically adjusted by the speed difference between the supply speed of the object supplied to the gate 15 and the speed of the upper conveying conveyor 16.

When the object 12 being transferred on the upper conveying conveyor 16 is detected by the sensor 17, a trigger signal is generated and the camera 18 acquires an image.

The acquired image is image processed to determine whether there is a defect by an image processing algorithm, and the defective product is discharged through the defective product outlet 19.

The regular product is positioned between the lower conveying conveyor 21 when passing through the rotating drum 20 while being transported along the upper conveying conveyor 16, and the upper and lower surfaces of the object are reversed after passing through the rotating drum 20. It is located on the lower conveyance conveyor 21 in the state.

Therefore, the object 12 of the drug is the shape inspection for the upper surface in the upper conveying conveyor 16 and the shape inspection on the lower surface on the lower conveying conveyor 21 after the position reversal by the rotating drum 20.

After completion of the shape inspection, the regular product is counted by the counting sensor 23 provided at one end of the lower conveying conveyor 21, and filled into the product container 25 by a predetermined amount, and the counting sensor 23 is a conventional optical sensor. Check and count the on / off state of the signal using.

In this system, the width of the gate and the left, right, up and down movement of the vision camera can be moved to cope with chemical objects of various sizes, and the transport of chemical objects can be properly maintained and the inspection speed can be adjusted. The speed of the conveyor and the rotary alignment device is configured to be different from each other and the conveying conveyor adjusts the tension by the tension regulator (24).

The vision system 22 preprocesses various types of reference drug objects to generate reference patterns, store them as database files, and acquire and process images of the drug objects 12 transferred from the gate 15. After that, by comparing and analyzing the image of the reference pattern and checking whether or not the shape of the transported drug is normal and the foreign matter and counting the regular product.

The image comparison analysis method extracts the outline of the drug object by a vision camera and performs a pattern matching test with a reference pattern generated by line processing.

The input chemical object has a built-in high speed and high analysis algorithm that checks and counts defects regardless of rotation.

Image processing algorithm

1) Tablet

Ⅰ) Canny Edge Detection

The contour of the drug is detected using the Canny method of performing strong edge detection. If there is a foreign object or damage to the drug, they are also outlined.

Ⅱ) Detection of chemicals to count

Sometimes the drug delivered from the gate can be captured by the vision system.

In this case, the chemical closest to the sensor generating the trigger signal for image capture is used for counting. In this case, the leftmost drug in the image coordinate is the drug to be used for counting. To do this, we use the vertical projection of the contour obtained after I) to find the location of the chemicals needed for counting.

Ⅲ) Comparison with reference pattern

The contour of the drug to be pattern-matched with the reference pattern is determined using the image coordinates acquired in II). The contour of the determined drug and the contour of the foreign matter or damage are obtained from the pattern matching with the preprocessed reference pattern.

If the error rate is less than 5% compared to the reference pattern, it is considered a normal drug.

Ⅳ) Detailed defect detection

In order to solve the case that the error rate cannot be detected by matching the reference pattern due to damage on the surface of the chemical, after the process of Ⅰ) and Ⅱ), the inside of the contour of the chemical is examined to determine the presence or absence of edges. It is possible to determine whether or not.

2) In case of capsule

Ⅰ) Canny Edge Detecion

The contour of the drug is detected using the Canny method.

Ⅱ) Detection of chemicals to count

Sometimes the drug delivered from the gate can be captured by the vision system.

Using the vertical projection of the obtained contours to find the position of the drug required for counting.

Ⅲ) Rotated Angle Detection and Reconstruction of Reference Pattern

Capsules can be rotated when the drug is transported at the gate.

In this case, the rotation angle must be detected to regenerate the reference pattern. To this end, the angle of the drug is detected by applying a HOUGH TRANSFORM to the drug corresponding to the image coordinate obtained in II).

After detecting the angle, recreate the reference pattern.

Ⅳ) Comparison with reference pattern

The contour of the drug to be pattern-matched with the reference pattern is determined using the image coordinates acquired in II). The contour of the determined drug and the contour of the foreign matter or damage are obtained in the pattern matching with the preprocessed reference pattern corresponding to the angle detected by III).

If the error rate is less than 5% compared to the reference pattern, it is recognized as a normal drug.

As described above, the multifunctional defect discrimination and counting system using the present invention can be used to accurately and quickly identify defective products occurring in the manufacturing process of medicines such as tablets and capsules and count only regular products with one device. By doing so, it is effective to solve the inconvenience of having to inspect the presence of foreign substances by using separate inspection equipment after simple counting.

Claims (1)

A counter having a device for dispersing and aligning a drug individual for counting medicines in the form of tablets or capsules, the upper and lower conveying conveyors 16 and 21 for conveying the object 12 and the upper and lower conveying conveyors. Each of the cameras 18 and 18 'is provided at a contact portion of the upper and lower conveying conveyors and the cameras 18 and 18' for preprocessing the contour image of the top or bottom shape of the object to match the reference pattern. Multifunctional failure determination and counting system using a vision, characterized in that consisting of a rotating drum 20, the counting sensor 23 provided at the end of the lower conveying conveyor.