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.
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.
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.
ON ANY DEVICE.
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ON ANY DEVICE.