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.
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