Inspecting Packaged Kits


In food, beverage, and healthcare, every tray or kit must contain the right items in the right locations, be properly sealed, and be traceable. Packaged kit inspection must be accurate at line speed to catch defects and ensure compliance without slowing production. Vision-driven inspection automates placement, presence detection, and condition checks, while triggering automated reject processes or operator cues to remove defective units.

Zebra VS40 scanning package content in a manufacturing facility

Automate placement, and quality checks for meal kits, surgical sets, and trays to enable faster inspections with traceable results

Zebra GTX Smart Camera for Food and Bev Meal Kit Inspection

Verify package assembly

Zebra smart cameras perform high-speed presence/absence detection on assembled kits and trays. The system inspects each compartment for the required item type, then flags mismatches before sealing. The NS42 Smart Vision Sensor, equipped with deep learning-based anomaly detection tools, adapts to the natural variations found in organic products like food and medicines, enabling precise pass/fail decisions while minimizing false rejections.

Screenshot of Aurora Vision Software AI model identifies sushi tray defects using deep learning visualizing "good" vs. "bad" outcomes

Unify inspection logic and control

Zebra Aurora Vision Studio is a hardware-agnostic suite of advanced yet easy-to-use machine vision tools. In addition to conventional rules-based image processing and machine vision capabilities, the Deep Learning Add-On provides a wealth of advanced tools ideal for food, beverage, and pharmaceutical inspections. Deep learning-based classification and segmentation tools enable the development of robust kit inspections, allowing vision technology to accurately identify and verify the presence and correctness of expected components, even when their presentation or orientation differs from product to product.

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