How Diageo Achieved In-Process Labeling Precision with Jidoka

By deploying Jidoka’s AI-driven inspection systems, Diageo streamlined its label verification process at 300 bottles per minute, ensuring accurate text, proper orientation, and accurate label quality - while minimizing manual oversight.

How Diageo Achieved In-Process Labeling Precision with Jidoka

Industry

Alcoholic Beverages (Alco-Bev)

Result 1

99%+ accuracy in detecting label defects and text errors

Deployments

Kompass AI and Tigris (Modular Vision Hardware)

Result 2

Faster, more reliable in-process inspection with automated ejection and alerts

Overview

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Diageo is a global leader in premium spirits, producing iconic brands across more than 180 countries. Known for high-volume bottling lines, Diageo needed a robust, automated solution to ensure precise labeling - both for compliance and brand consistency - without slowing production.

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The Opportunity

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At Diageo, manual label inspection was error-prone and unsustainable at high speeds:

300 bottles/minute demanded real-time verification of text, logos, barcodes, and label orientation.
Bottles with torn, scuffed, or bubbled labels could slip through, risking brand image and regulatory non-compliance.
Pre-printed and variable text needed accurate reading and matching against templates—human oversight alone wasn’t enough.

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Jidoka installed Kompass and Tigris to tackle Diageo’s labeling challenges:

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1. Real-Time OCR & Object Detection

High-resolution cameras captured label regions, reading critical text (brand names, disclaimers, barcodes) in milliseconds.
Object detection verified logo presence, correct orientation, and consistent label placement.

2. Defect Identification & Classification

Automated detection of label tears, trapped bubbles, and scuff marks, triggering immediate alerts.
Any misprint or mismatch from the approved template was flagged for rejection.

3. In-Process Inspection & Ejection

Jidoka’s hardware module, Tigris, seamlessly integrated with Diageo’s bottling lines, ejecting faulty bottles on the fly.
An andon-like alert system informed operators of recurring issues, speeding up root-cause analysis.

4. Adaptable for Multiple SKUs

The AI-driven approach allowed quick configuration changes for new label designs, compliance requirements, or product variations.

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Big Wins for Diageo

99%+ Label Accuracy

Consistent verification of critical text, logos, and orientation - dramatically reducing labeling errors.

Accelerated Throughput

Maintained a 300 bottles/minute speed without compromising inspection quality.

Enhanced Compliance

Automatically verified regulatory text requirements and disclaimers, mitigating compliance risks.

Reduced Waste & Rework

Immediate rejection of defective bottles minimized post-production fixes, saving time and costs.

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