3 months to achieve 99.9% accuracy
for inspection of medical devices
How we automated a tedious and difficult
manual inspection task and ensured safety and
quality in the production for Zealand Pharma.
Achieving robustness in changing, harsh conditions
“Using state-of-the-art pattern recognition JLI provided us with a solution that works robustly in a variety of conditions and on top of that is flexible." - Morten Øllgaard Bloach, Project Manager, Qubiqa
98% accuracy in challenging inspection task
Working with a leading manufacturer in the wood industry, we automated the inspection of glulam boards in production lines to eliminate human errors and improve quality.
Helping the quartz glass tube industry automate manual inspection
How we automated a challenging inspection task and achieved a classification accuracy that is better and more consistent than the previous manual inspection.
Anomaly Detection on Steel Surfaces
With machine learning, we replaced a labor-intensive manual inspection process of detecting anomalies on steel surfaces.