Package and label quality inspection.
Cameras and computer vision models to detect package non-conformities, check label orientation and support operators’ sorting decisions.
Spot the error while the package is on the line.
As packages move along the line, inspection must quickly recognise errors and deviations from the required criteria. Even label orientation can affect correct handling. The project brought visual analysis into the production flow to make anomalies available to operators when they need them.
- Computer vision
- Quality inspection
- Operator interface
What we designed.
The project combines image acquisition, visual models and an operator interface. Each component must fit the pace of the line, the characteristics of the packages and the non-conformities to detect.
Capture images on the line
Cameras installed in the production process capture images of packages and labels. This provides the input for analysing the product as it moves along the line.
Recognise non-conformities
Computer vision models and deep-learning algorithms check relevant visual elements, including label orientation. The system compares its findings with the conformity criteria defined for the inspection.
Support the operator’s decision
An interactive interface makes analysis results available to the people overseeing the process. The information supports package assessment and sorting decisions, connecting detection with operational action.
Package and label images
Visual analysis and conformity criteria
Findings for inspection and sorting
What it makespossible.
- Real-time detection of visual errors and non-conformities.
- Label orientation checks integrated into quality inspection.
- An interface supporting operator decisions.
Want to bring visual inspection directly into your production line?
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