SolVisionCase Study

Food and Beverage |Logistics |Manufacturing|Pharmaceuticals and Medical

Inspecting Aluminum Product Packaging

Automated detection of printing errors on consumer packaging

Making first impressions with product packaging

Aluminum excels in shielding light and air and preserving quality, making it a popular packaging material for food, medicine, facial masks, and more. However, these soft aluminum packaging often incur printing errors, from missing, skewed, and peeling printing to misprinting. Incorrect information on packaging can cause consumers to become uncertain and negatively impact a manufacturer’s brand.

Automated detection of printing errors on consumer packaging

Limitations of conventional inspections

The deformable nature of soft aluminum packaging means that the category and location of printing defects vary almost every time, making it impossible to establish rules and implement traditional rule-based inspection systems. Manual inspection is the common option in this case for screening the packaging of finished products and identifying defective printing.

Uncompromising defect detection with AI

Powered by artificial intelligence, SolVision automates visual inspections for detecting production inconsistencies. By comparing real-time product images to a golden sample, the system’s Anomaly Detection tool is capable of recognizing multiple printing defects at a time, including errors to text, characters, images, or color, and mark their locations for easier processing of the faulty packaging.

AI Inspection

Logo defects

Printing defects

Reversed Printing

Missing Text

What is Augmented Intelligence?

Discover the potential of Augmented Intelligence to enhance human capabilities, streamline processes, and achieve unprecedented efficiency.
AI Visual Inspection on Ribbons

Using Solomon SolVision’s Instance Segmentation tool, all kinds of colored and patterned ribbons can be inspected to locate different defects big or small.
AI Defect Detection for Spiral-Surfaced Metals

Small, spiral-surfaced metal parts can be inspected using SolVision’s Instance Segmentation tool to learn the different types of cut marks or collision faults from sample images, then building an AI model to recognize these subtle defects.
Unique Approach to Manufacturing with AR + AI

Digital technology is playing a significant role in the transformation of the manufacturing industry. Solomon’s AI enhances AR for optimized defect detection.