IE6000: AI-empowered Label Inspection with 6-Camera System for Maximum Precision
The innovative IE6000 machine is the ideal solution for companies in the food and liquid food sectors, especially those working with mixed-shape packaging—rectangular, square, round, and oval without orientation. The IE6000 ensures precise label control, even on containers with a circular neck but an oval or circular body. Perfect for mixed production lines where maximum flexibility and reliable inspection of every single packaging are required, as it allows inspection of containers of different shapes in a single machine.
This solution is particularly suitable for:
1. Condiments and Sauces: Producers of ketchup, mayonnaise, salad dressings, etc., often use uniquely shaped containers to stand out on shelves.
2. Dairy Products: Yogurt, spreadable cheeses, and dairy-based desserts are packaged in mixed-shaped containers.
3. Preserves and Sauces: Producers of fruit and vegetable preserves, as well as ready-to-eat sauces and soups, often have packaging with variable shapes.
4. Snacks and Confectionery: With the increase in diverse packaging for snacks and sweets, from square boxes to oval trays, with labels placed in varied positions.
Key Innovations for a Competitive Edge in Label Inspection
The IE6000 integrates two important innovations for label inspection: the use of artificial intelligence (AI) and a 6-camera system.
AI Integration
AI represents a major leap in the process. Through automatic training, the machine performs 3D reconstruction of the packaging format without requiring manual operator intervention, significantly reducing setup time. This feature improves operational efficiency and ensures quick adaptation to format changes. Additionally, AI is used to accurately identify the presence and position of emboss, ensuring that the label or any other element is correctly aligned with it, without the need for operator configuration.
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6-Camera Innovation
The 6 cameras of the IE6000 ensure a complete and accurate inspection of every part of the packaging, including the most challenging areas, such as rectangular or oval containers. Images are captured from 6 angles and analyzed to reconstruct the label and inspect any codes or specific areas. For example, for packaging with front and back labels, two cameras can be used, while for round packaging, four cameras are necessary for 3D label reconstruction. For rectangular packaging with a round neck, four cameras are used for the circular part and two cameras for the front and back labels.
This versatility, which allows for the capture of multiple images, helps avoid false rejections caused by light reflections, which are especially common on rectangular or square containers, and enables the inspection of very differently shaped packaging on the same production line with the same machine.
The intuitive on-line HMI interface allows for clear data visualization, while the compact design makes it highly functional even in production environments with limited space.
Conclusions
The IE6000 stands out for its ability to inspect labels and codes on production lines handling packaging of various shapes, all in one machine. It is particularly suitable for food and liquid food producers, who often work with packaging with complex designs, featuring glass embossing and labels positioned on both the neck and body of the packaging, with highly variable shapes.
The machine ensures precise control of label presence and correct positioning, as well as accurately verifying defects, printing errors, or missing, unreadable, or non-compliant codes. It can inspect a wide variety of formats, including those with front, back, side labels, or neck bands, while also checking for the presence of embossing.
Thanks to the integration of artificial intelligence, the IE6000 further optimizes efficiency, quickly adapting to new formats without manual intervention, thus reducing setup times. The multi-camera system provides a complete view from different angles, minimizing false rejections and ensuring reliable inspection even in the most complex areas.
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