In Molded Labeling High Speed Bottle Vision Inspection Systems for
IML Products
Company Profile
Anhui Keye Intelligent Technology Co., Ltd. is a Chinese national
high-tech enterprise specializing in the application of AI
technology in visual inspection industry. As a leading
manufacturer&Designer, It can provide the most advanced level
AI visual inspection equipment and the customized AI system
solutions of visual imaging, computing power, algorithm, and
automatic control software for various sub-industries.
The company was established in 2011, it has a high-level R&D
team from top domestic optical research institutes and a core
doctoral team from the USTC, covering the entire technology chain
of optics, electrics, mechanics, algorithm and software. Our
products can be applied in beverage, pharmacy, dairy, wine,
textile, new energy, agriculture and other packaging industries.
The detecting equipment is shown in the figure below (reference):
| System operating parameters |
| Dimensions | See the design drawings for details | Power and frequency | 220V 20A 50HZ |
| Total power | 5.0~6.0 kw | Air pressure | 0.5~0.8MPa Purify and oil-free |
| Working temperature | -20℃ ~ 60℃ | Working humidity | Below 50% relative humidity |
The detecting standards are as follows:
| Detection content and accuracy | Detection precision | Speed |
| Black spots, stains (different colors)≥0.2mm | 99% | 120pcs/min |
| Notches, overlap≥0.5mm | 99% |
| Black spots, stains (different colors)≥0.3mm | 99% |
|
| Black spots, stains (different colors)≥0.2mm | 99% |
| No printed content area |
| Label misalignment, labeling, damage≥0.5mm | 99% |
| Black spots, stains (different colors)≥0.2mm | 99% |
Inspection principle
Daily chemical products have penetrated into all aspects of
people’s lives. When people choose daily chemical products, they
will choose their habitual product brands according to their
habits. There are more and more cosmetics and detergent
manufacturers in China who choose in-mold labelled plastic bottles
to package their own products. In-mold labeling technology will be
more and more widely used in cosmetics, detergents, daily chemical
industries and other industries, and it will be more and more
favored by consumers. After adopting the in-mold labeling
technology for daily chemical products, the brand image and product
display effect are improved.
Compared with self-adhesive labels, it reduces the off-label
phenomenon and the waste rate, saves the cost of manual labeling,
and improves production efficiency. Therefore, as an important part
of the outer packaging of the product, the quality detection of the
finished product is an important part of the production of product
packaging.
System composition
(1) Mechanical part:
The mechanical part is the core component of the system, which
carries all the transmission devices and electronic hardware
(industrial cameras,
Light source, industrial computer, touch screen, electrical box,
etc.).
The conveyor belt adopts a vacuum adsorption belt to adsorb and fix
the sample on the surface of the belt without sliding, so that the
picture can be accurately taken.
(2) Hardware part:
The hardware part includes camera, lens, light source, high-speed
air valve, computer, touch screen and other electrical equipment,
the overall logic control of the system is realized by the
high-speed FPGA chip.
Cooperation Partners
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.
** Our company have served many well-known enterprises such as
Coca-Cola, P&G, Unilever, ALPLA, Shriji Polymer, Berry Global,
Aptar, LAMIPAK, TPAC, PACT Group, etc.
