![SK-basic web](https://www.jlivision.com/hs-fs/hubfs/SK-basic%20web.jpg?width=1283&height=1000&name=SK-basic%20web.jpg)
New cost-effective in-line glass tube inspection
Securing and optimizing the inspection of glass tubes for Signify. Changing demands for inspection required a new innovative solution.
![ZP Case story mock up-1](https://www.jlivision.com/hs-fs/hubfs/ZP%20Case%20story%20mock%20up-1.jpg?width=1000&height=750&name=ZP%20Case%20story%20mock%20up-1.jpg)
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.
![Insulation](https://www.jlivision.com/hs-fs/hubfs/Insulation.jpg?width=1000&height=700&name=Insulation.jpg)
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
![Wood system .jpg.1](https://www.jlivision.com/hs-fs/hubfs/Wood%20system%20.jpg.1.jpg?width=1000&height=750&name=Wood%20system%20.jpg.1.jpg)
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.
![Inline Tube Inspection](https://www.jlivision.com/hs-fs/hubfs/Inline%20Tube%20Inspection.png?width=1000&height=758&name=Inline%20Tube%20Inspection.png)
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.
![Rail (Custom)](https://www.jlivision.com/hs-fs/hubfs/Rail%20(Custom).png?width=1000&height=750&name=Rail%20(Custom).png)
Anomaly Detection on Steel Surfaces
With machine learning, we replaced a labor-intensive manual inspection process of detecting anomalies on steel surfaces.