The integrity and accuracy of food packaging directly impact food safety, product shelf life, and brand reputation. This solution integrates machine vision (AOI) to build an automated inspection system deployable on high-speed production lines, achieving near-perfect 100% full inspection of seal quality, label information, and foreign object contamination—helping companies meet the most stringent quality and regulatory requirements without sacrificing production capacity.
1、Seal & Leak Inspection
Detection Targets: Heat Seal Contamination, Seal Cracks, Micro-Leaks
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Infrared Thermal Imaging Inspection: Immediately after seal completion, a thermal imaging camera captures the temperature distribution map of the seal line. Abnormal breaks in the thermal distribution indicate a risk of material entrapment or poor sealing.
2D/3D Laser Profile Measurement: High-precision laser profilometers scan the surface flatness and height differences of the seal area, quantitatively evaluating sealing wrinkles and defects.
Pressure/Gas Leak Detection: Compression is applied to the packaging on the line to monitor minute pressure changes in real time; laser sensing technology can also detect trace gas leaks (such as CO₂, N₂), precisely pinpointing the leak location.
2、Label & OCR/OCV Inspection
Detection Targets: Missing Expiry Date Print, Unreadable Barcode, Incorrect or Skewed Label Placement
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AI OCR/OCV Intelligent Recognition: Automatically recognizes and verifies printed content (manufacturing date, expiry date, batch number, etc.), effectively preventing issues such as missing print, misprints, or blurred text, while supporting Optical Character Verification (OCV) to ensure printing quality.
Label Positioning and Matching System: Inspects label placement position, front/back orientation, and the presence of air bubbles or folded corners; combined with barcode scanning technology, cross-verifies the outer packaging label against the product content information to eliminate critical quality risks such as incorrect allergen labeling.
3、Foreign Object & Defect Detection
Detection Targets: Metal Fragments, Glass Shards, Stones, Plastic Foreign Matter; Loose Bottle Caps, Dented Bottle Bodies
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Machine Vision Inspection: For transparent container packaging, inspects liquid level height and bottle cap sealing status (whether skewed), ensuring no safety hazards exist before packaging leaves the factory.
4、Appearance Inspection
Detection Targets: Damaged Fruit/Vegetable Trays, Deformed Instant Noodle Bowls, Abnormal Vacuum Packaging Bloating
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Combining 2D/3D vision systems with AI deep learning algorithms, this solution performs intelligent defect classification for irregularly shaped packaging, precisely distinguishing between defects that "affect safety" and those that "only affect appearance," reducing false detection rates and optimizing yield rates.
*This solution can be customized and integrated with modular configurations based on different packaging types (flexible packaging, bottles, cans, boxes, etc.) and production line requirements. *