Place of Origin: | China |
Brand Name: | KEYE |
Certification: | NO |
Model Number: | KVIS-T |
Minimum Order Quantity: | 1 SET |
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Price: | Negotiable |
Packaging Details: | Fumigation-free wood |
Delivery Time: | 4 to 6 weeks |
Payment Terms: | L/C, T/T |
Supply Ability: | 1 set per 4 weeks |
Features: | Fully Automatic | Item: | Tablet Medicine Inspection Equipment |
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Place Of Origing: | China | Weight: | 300-500kg |
Material: | SS 304 | Show Room: | None |
Current: | 3kw-5kw | Voltage: | Adapt To National Standards |
MOQ: | 1 Set | Loading Port: | Shanghai |
High Light: | Tablet Medicine Inspection Equipment,Stroboscopic Light Inspection Equipment |
Tablet Medicine Inspection Equipment With Stroboscopic Light Source
Inspection principle
Drug safety has always been a key issue that people pay attention to. The quality inspection of drugs is an important link in the field of drug production, which provides an important guarantee for the safe production and use of drugs. Appearance testing of drugs is one of the important links in drug testing. Due to its large demand and high quality testing requirements, the current manual testing is always uncertain and lacks accuracy. Therefore, the application of machine vision technology to the appearance inspection of drugs can overcome many disadvantages of manual inspection, improve its accuracy and work efficiency, and also reduce the cost of enterprises, which is the development trend of drug inspection in the future.
In the pharmaceutical industry, aluminum foil-packed capsule shells are widely used. Many medicines are first filled with aluminum foil-packed capsules and then given to patients, so their quality is directly related to people's health. With the continuous improvement of national drug testing standards and the increasing testing volume of hard capsules, the traditional manual light inspection method for quality testing of capsules has been difficult to meet the needs of capsule manufacturers. At this time, the use of relatively mature computer vision detection technology to replace manual light inspection has great commercial prospects. As a non-destructive and non-contact detection method, machine vision can improve the production efficiency of capsules while ensuring the overall quality of the capsules.
Inspection details
The system uses pattern matching and color recognition to determine whether a package has the correct number and type of tablets. Check the number of pills in the package and the color of each pill, and issue an alarm or reject unqualified packages. The design of the image acquisition device is as follows:
The capsules to be tested are poured into the blanking port. When the capsules are placed on the turntable from the entrance, the turntable is responsible for separating the capsules one by one and placing them in the capsule slot. At this time, the conveyor chain is in a state of continuous rotation. Since the photoelectric sensor will detect the rotation of the conveyor chain, the light source will stroboscopically illuminate the capsule when it passes through the designated conveyor position. At this time, the industrial camera will also start to capture the capsule image, transfer the collected image data to the memory of the PC, and use the capsule detection system installed on the PC to determine the defects of the capsule image. When the judgment result of the capsule is defective, it will output an air blow signal, and the capsule with the problem will be driven into the unqualified capsule waiting box, and the capsules that pass the inspection will enter the qualified waiting box.
System parameters
Our design plan adopts multiple sets of high-pixel industrial cameras and high-performance stroboscopic light sources to carry out a full range of visual detection for the appearance defects of the bottle body.The equipment can realize 7*24 hours of operation, and the unqualified products can be automatically rejected online.
Name |
Tablet Medicine Inspection Equipment |
Size | 2000*1200*1850mm |
Inspect | Barcode for products | Speed | 150-300/min |
Current | 3kw-5kw | Air pressure | 0.5~0.8MPa |
Voltage | adapt to national standards | Accuracy | 99.5% |
Working temperature | -20℃ ~ 60℃ | Working humidity | Below 50% relative humidity |
Algorithm processing
In the whole image processing process, the image sensor CCD image sensor is used to obtain the image first, and the image is converted into a digital signal that can be recognized and run by the computer or microprocessor, so that the capsule image is converted into a digital image through the A/D converter. . After the image is acquired, the capsule is preprocessed (filtering, image enhancement, etc.), feature extraction, classification and recognition of the capsule image.
For the detected unqualified capsules, the detection system sends a signal to the PLC at this time, indicating that damaged capsules are detected, and the relay needs to be removed to put the unqualified products into the waste tank. Algorithm analysis of capsule detection: After the capsule is filled by the filling machine, the capsule body and the capsule cap are in good agreement. During the detection process, the capsule may be damaged and surface wear due to human factors, machine failure, stack pressure and other factors. . According to the degree of damage and wear, the system must remove those capsules that are damaged or more worn, and those damaged or worn capsules that are less damaged or worn but invisible to the human eye can be regarded as qualified capsules to reduce the production process. losses in.
Our advantages
Contact Person: Ms. Amy Zheng
Tel: +86 17355154206/+86 186 5518 0887