The current and future state of vision-based food inspection

When it comes to the inspection and determination of quality of food products, utilizing a manual process is not always feasible due to the fact that manual work can be both expensive and unreliable. As a result, many companies have turned to vision systems to carry out objective quality inspections of food products from farm to table.

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When it comes to the inspection and determination of quality of food products, utilizing a manual process is not always feasible due to the fact that manual work can be both expensive and unreliable. As a result, many companies have turned to vision systems to carry out objective quality inspections of food products from farm to table.

In a free webcast on March 11, Rick van de Zedde, Business Developer, Intelligent Food Systems, Wageningen UR Food, Biobased Research Institute (The Netherlands) will explore these technologies including cameras and optical sensors, computer vision systems and robotics. Mr. van de Zedde will discuss advanced approaches for 2D and 3D visual inspection, objective color measurement, and near infrared (NIR) hyperspectral inspection that reveals “invisible” deviations, along with advanced methods for automatic image processing. He will explain how “robotizing” the handling of food products allows many companies to strengthen their competitive position.

In addition, van de Zedde will provide real-life examples—including long-term academic research and industrial applications— to illustrate and to elaborate the future perspective of R&D in this field. Interactive Q&A will allow audience members to get help for their own applications.

This webcast is sponsored by Matrox, Tordivel AS,Point Grey, and Teledyne DALSA.

Webcast information:

Food inspection from farm to table
March 11, 2014

11:00 AM EST (Approximately one hour)
Rick van de Zedde, Business Developer, Intelligent Food Systems, Wageningen UR Food, Biobased Research Institute (The Netherlands

Click here for registration information.


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