How Britannia Automated In-line Inspection for Biscuits with Jidoka

By deploying Jidoka’s Kompass and Tigris systems, Britannia automated its high-speed biscuit inspection process (12,000+ biscuits per minute) and radically improved defect detection accuracy—reducing false positives and boosting overall efficiency.

How Britannia Automated In-line Inspection for Biscuits with Jidoka

Industry

FMCG

Result 1

90% accuracy in detecting all critical defects

Deployments

Kompass (AI) and Tigris (Modular Vision Hardware)

Result 2

0.01% false positives, leading to near-zero wastage

Overview

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Britannia is one of India’s oldest and most renowned food companies, specializing in the production of biscuits and other bakery items. With headquarters in Kolkata, the company distributes products nationwide and exports globally.

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As biscuit demand soared, Britannia needed a faster, more reliable solution to reduce manual inspection fatigue and catch critical defects before they could affect customers—or the company’s bottom line.

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The Opportunity

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For Britannia, Manual defect detection was no longer efficient or fully reliable:

Over 12,000 biscuits produced per minute, requiring 24/7 inspection.
Operators found it challenging to spot cracks, chipped edges, or burn marks consistently at such high speeds.
Even minor errors passing downstream could lead to returns, complaints, and damage to brand reputation.
The biscuit inspection process was entirely dependent on human labor, increasing the risk of fatigue-driven mistakes.

“We wanted a solution that could keep pace with our production volumes, maintain top-notch quality, and reduce operator fatigue.”

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QA Manager, Britannia

Jidoka’s Approach

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Jidoka installed Kompass and Tigris to automate and optimize Britannia’s inspection workflow:

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Vision-Based AI Inspection:

Three cameras spanned 27 columns of biscuits on the conveyor. Each camera captured over 400 images per minute, sending them to Jidoka’s AI engine for real-time analysis.

Defect Identification & Classification:

Cracks, chips, and surface deformities were quickly flagged, enabling precise ejection of faulty biscuits.

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Visual AI-based biscuit inspection at Mondelez facility (representative image). Britannia uses a similar high-speed inspection system from Jidoka

Seamless Integration:

Jidoka’s hardware, Tigris, connected to Britannia’s existing lines with minimal disruption. Tigris’ automatic rejection unit removed defective pieces on the fly.

Scalability:

Built to handle diverse biscuit SKUs and changing process variations, the solution has now rolled out across 50 lines in India.

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Big wins for Maruti

By deploying Jidoka’s Kompass and Tigris, Britannia achieved:

90% Accuracy

Dramatically improved detection of cracks, chips, and burn marks.

0.01% False Positives

Nearly eliminated wastage and rejections previously caused by human inspection errors.

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$25k Annual Savings

Prevented costly returns from distributors and minimized counterfeit concerns.

Faster, Consistent Quality

Real-time alerts and integrated Andon systems enabled immediate intervention and process improvements.

“With Jidoka, we’ve reduced defect occurrences, minimized wastage, and elevated our quality standards across every product line. Their technology is a game-changer for our production efficiency.”

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QA Manager, Britannia

Jidoka helped Britannia protect its brand reputation, optimize labor usage, and set new standards in biscuit inspection reliability. The transformation also paved the way for digitizing Britannia’s shop floor, making it more agile and data-driven for future expansion.

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