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.
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.
I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you.



MOBILE APP

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.



