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CheckTray

In-line packaging inspection during the packing process

CheckTray is designed to perform in-line inspections before, during, and after packing on various types of packaging — including trays, tubs, flow packs, and day packs — both open and fully sealed.

Applications

Product integrity

Detection of stains and foreign objects

Heat sealing

The CheckTray solution offers the following key benefits:

Ensuring Product Quality and Competitiveness

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The main, explicit benefit is that it helps guarantee product quality while enhancing competitiveness.

High-Precision and Flexible Inspection

It uses Deep Learning technology, enabling the identification of unpredictable products and defects that traditional vision systems would miss, while tolerating potential variations in product appearance. It combines the flexibility of human visual inspection with the speed and robustness of an automated vision system.

Comprehensive In-Line Quality Control

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Performs critical inspections on various packaging types (trays, tubs, flow packs, or doy packs) in-line and during packing. The main quality checks it performs include:

Versatile and Expandable System

The CheckTray system allows the addition of multiple expandable modules for more thorough inspections:

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These modules enable even deeper and more comprehensive quality control than standard visual inspection.

Benefits

Full Labeling Control

Detects errors, misaligned positions, and missing elements on labels.

Product Integrity

Ensures that the contents are complete and correctly positioned.

High Visual Accuracy

Checks labels, text, logos, codes, and colors with maximum precision.

AI – Unprecedented Precision

Our system goes beyond traditional vision programming. It integrates AI, using neural networks to learn the ideal appearance of each product, package, and label. This provides a unique capability to detect unpredictable or subtle defects while tolerating product variations without errors. It is the perfect fusion, combining the flexibility of the human eye with the speed and robustness of Artificial Vision.

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