Human verification and traditional vision systems often miss misprints, misplaced stickers, or subtle typos. Jidoka’s Kompass™ AI goes beyond detection, enhancing bottle label verification with speed, precision, and compliance confidence.
Kompass is an AI-powered, high-speed bottle label inspection system that combines deep learning with OCR to detect misprints, verify text and artwork, and ensure precise label placement, with 99.9% accuracy.
Discover how industry leaders achieve perfect label compliance with Jidoka's AI vision systems.
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Engine Tappet inspection with AI vision and HURON hardware
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High-speed biscuit inspection with automated quality control:
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Labelled bottle inspection with AI vision system and modular hardware:
Automated labelled bottle inspection is an AI-powered process that uses machine vision, deep learning, and OCR to identify flaws in bottle labels and packaging without human intervention. These systems ensure accurate text verification, precise label placement, and flawless compliance for every bottle.
Labeled bottle inspection vision system automates critical text recognition. This means that it can verify text, including both batch and bar codes on any surface, detect label shifts and misalignment, and catch label damage defects.
Yes, AI-powered label verification systems are designed for seamless integration with existing production lines. They can connect to MES and ERP systems, coordinate with robotic arms and conveyors, and automatically reject faulty products - without slowing down throughput.
Traditional labelled bottle inspection systems often struggle with scale, accuracy, and consistency. While older systems are limited to ~1,000 ppm (products per minute), Kompass™ delivers high-speed bottle label scanning at up to 12,000 ppm with 99.9% accuracy, ensuring industrial-scale compliance.
Labelled bottle inspection AI is widely used in FMCG, beverages, and pharma for:
- Label alignment and orientation detection
- Cap and seal integrity inspection
- Structural abnormalities identification
- Sorting and classification
- Filling and packing issues detection
Deep learning plays a critical role in modern packaging inspection by enabling bottle inspection vision systems to automatically learn and recognize patterns in bottles, labels, caps, and seals. Unlike traditional vision systems, it helps the system to adapt to different shapes, label designs, and lighting conditions, accurately spotting misalignments, smudges, or cracks.
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