A.I - Based Production Environment Label Verification

The Issue: Human Error & Label Blindness

Label Verification is a time and labour-intensive process that is required at multiple points during the manufacturing process. 

For example a fresh produce packhouse QC operative completes an average of 200 label checks per day, using pen and paper data collection methods, at approximately 2 minutes per label check. 

Repetition and human fatigue introduce a high risk of “label blindness” causing costly label errors to be missed and mis-labelled product reaching the supermarket shelves.

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The Cost of Getting it Wrong

Each un-detected labelling error that reaches its destination results in:

• Thousands of pounds incurred in EPW or Product Withdrawal fines

• Expensive product re-work costs

• Unnecessary and expensive wastage

• Loss of Profit Margin

• Loss of reputation

• Potential loss of contracts

• Food safety risks from mis-labelled or un-declared ingredients or allergens. 

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The Solution

Consus have developed software Apps that use the Microsoft Azure cloud-based Artificial Intelligence to process each label photograph and return an immediate pass or fail result.  A failure result will automatically halt production and issue automated alerts to relevant production staff with details of the failure.  Similarly, a pass result can automatically trigger any “positive release” processes and progression to dispatch.

LOOKS GREAT

ON ANY DEVICE.

Whether its in the print room, on a production line or at despatch we have a solution that will

verify your product labelling and stop incorrect product from entering the supply chain.

SEE THE APPS IN ACTION