Vision technology for the food, beverage and packaging industry


Testing with absolute reliability

Where Vision has helped

Case Studies and Application Examples

Our machine vision specialists can add valuable imaging expertise working with your engineering teams from feasibility to equipment selection and engineering support to apply vision enhance your systems or processes helping keep your food processing solutions best in class delivering your customers competitive advantage by increased profitability.

Our case studies and application examples will show you how to increase quality of your product with machine vision solutions in the food industry.

Imaging in the drinks industry

SYSCONA Kontrollsysteme GmbH has achived a breakthrough in the accurate identification of bottles using a newly developed optical system.

100% quality for can bodies and ends

The quality of the aluminum can ends produced in the Braunschweig-based factory is ensured by TCVision, a high-speed vision system from our partner QUISS.

Rapid and safe microbial detection system

The detection of the "microbial load" is performed using a quantitative method with a contaminant as the unit, such as a bacterial cell, for example.

3D imaging for accurate volume measurements

A new approach to multi-camera 3D imaging is set to make a big impact in accurate volume measurement for irregular shaped objects such as sausages in the food industry.

GigE-camera system checks cardboard impressions

Kdorf Automation has installed an optical monitoring system based on components of STEMMER IMAGING to inspect card board impressions for a manufacturing company active in the food industry.

Imaging system for counting fish

Image Labs International, STEMMER IMAGINGs American CVB partner, uses Common Vision Blox to provide a solution to an unusual application - an imaging system for counting trout.

Fruit Inspection

Can you check the size and the ripeness of fruit with vision systems? Using Common Vision Blox makes is possible. The Software Tools CVB Edge and Color are successfully solving this task.