Good Mechanical Mechanism Visual Inspection System For PET Preforms
As the semi-finished product of beverage packaging bottles, the
preform has more or less quality defects in the production process,
and the preform appearance inspection machine integrates many
advantages such as high performance and full automation. The
company provides more intelligent and efficient bottle preform
appearance inspection solutions. As an external manifestation of
brand image, product appearance quality is self-evidently important
to the long-term development of an enterprise. It can not only
greatly reduce labor costs, change production methods, improve the
production chain, but also retain old customers and consolidate
customer reputation. Bringing more economic benefits is also of
great benefit to the promotion of the brand image.
Inspection principle
Preform visual inspection equipment, instead of artificial eyes,
detects abnormal appearance of products, and fundamentally improves
the disadvantages of traditional manual inspection. The preform
visual inspection equipment is like an AI quality inspector working
24 hours a day. Using the AI deep learning algorithm, it can
intelligently identify various appearance problems such as lack of
material, dirt, and flash on the appearance of the product. It is
suitable for Various complex inspection items and working
conditions.
The preform visual inspection equipment and the preform processing
equipment are combined into a comprehensive preform quality control
system, which can operate independently or in combination with the
preform injection machine. It can be used to detect various common
defects of preforms in large quantities and can separate defective
preforms from good acceptable preforms. The speed of preform
classification and inspection can reach 3 preforms per second, and
the inspection contents include leakage, various defects on the
sealing surface of the bottle mouth and the side wall and the
bottom of the embryo.
Equipment Overviews
The overall detection equipment is equipped with 10 sets of
high-pixel industrial cameras to comprehensively detect the
appearance defects of the outer side of the bottle preform, the
opening of the preform and the bottom of the preform. After the
system collects the sample image, the image processing software is
compared with the standardized sample to determine the good product
and the bad product.
| Model | Cameras | Detection range | Detection content | Detection accuracy | Accuracy rate | False detection rate | Detection speed |
| KVIS-SC10 | 4set | Around the bottle preform | Black spots, bubbles, impurities (different colors) | ≥0.3mm | 99% | ≤0.2% | 70pcs/min |
| 1set | Preform base | Black spot, hole | ≥1.5mm | 99% | ≤0.2% |
| 4set | Opening of the preform | Black spots, stains, impurities (different colors) | ≥0.2mm | 99% | ≤0.2% |
| Overlap, lack of material | ≥1mm | 99% | ≤0.2% |
| 1set | Support ring | Lack of material | ≥1mm | 99% | ≤0.2% |
Importance of quality control
In the factory quality control system, product quality monitoring
and defect management are a very important part, and the labor cost
in this aspect also accounts for a large proportion of the entire
production cost. And the automatic detection technology represented
by the preform visual inspection equipment will greatly promote the
intelligent process of this link and greatly improve the production
efficiency.
In the era of Industry 4.0, artificial intelligence technology is
rapidly penetrating various scenarios in the industrial field and
changing the way we produce. Among them, robot vision can be said
to be the eyes of industrial automation. Product label position
identification, product defect detection, etc., are almost
inseparable from machine vision technology.
Our Advantages
