Pharmaceutical Bottle Inspection System For 30CC To 150CC Tablet Bottles
Pharmaceutical Bottle Inspection System For 30CC To 150CC Tablet Bottles
Technical parameter
| Model | Camera | Detection range | Inspect | Accuracy | Precision | Speed |
| KVIS | 1set | Bottle mouth | Black spots, stains, overlap, burrs, lack of material, etc. | ≥0.5mm | Qualified product 99.5% | 100-150 pcs/min |
| False detection is less than 0.5% | ||||||
| 1set | Bottom of the bottle | Black spots, stains,foreign material, etc. | ≥0.5mm | Qualified product 99.5% | ||
| False detection is less than 0.5% | ||||||
| 4 set | Upper area of the bottle | Black spots, stains,missing, etc. | ≥0.5mm | Qualified product 99.5% | ||
| False detection is less than 0.5% | ||||||
| 4set | Lower area of the bottle | Black spots, stains, etc. | ≥0.5mm | Qualified product 99.5% | ||
| False detection is less than 0.5% | ||||||
| 1set | Outer bottom of the bottle | Black spots, stains | ≥0.5mm | Qualified product 99.5% | ||
| Hole | ≥1mm | Qualified product 99.5% |
Inspection principle
The appearance defect of medicine bottle is a relatively common problem in pharmaceutical production enterprises, and it is also one of the problems that have troubled business owners for a long time. The medicine bottle visual inspection machine, based on machine vision and deep learning algorithms, can perfectly replace manual labor, and efficiently and quickly solve many pain points such as high cost and low efficiency of human inspection.
Pharmaceutical products are prone to various product appearance quality defects during the injection molding process. Common appearance defects in injection molding of pharmaceutical bottles include black spots, dirt, bubbles, cracks, flashes, and dimensional changes. The outflow of defective products not only causes a great waste of resources, but also has a serious adverse effect on product quality and consumer safety.
Inspection details
The medicine bottle inspection machine, equipped with high-performance machine vision inspection system components, can detect various surface defects such as the size of pharmaceutical plastic bottles, black spots, flashes, and even scratches in a fast, efficient, and real-time manner. Screen out defective products.
The blessing of the deep learning algorithm, through the training and learning of a large amount of data, can improve the level, recognition rate and stability of automatic recognition, and can detect fuzzy features that change randomly, and those that can be recognized by the human brain can be detected, so as to deal with various types of more Complex testing items.
Company profile
KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.
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