• iMeatSense

    iMeatSense

    Intelligent multi-sensor system for meat analysis

  • Intelligent multi-sensor system for meat analysis - iMeatSense

    One of the most significant improvements in meat industry during the next few years will be the development of intelligent processing systems incorporating automated and rapid chemical analysis. It is necessary to have suitable methods to monitor meat’s freshness and safety in order to be able to ensure quality. Hence, the identification and quantification of the most influential metabolic compounds contributing to safety and spoilage and the development and application of practical means, such as “diagnostic” methods and robust model systems for spoilage prediction, will be of great importance. In order to be widely used by the meat food industry, the tests to be carried out on the meat must be rapid and simple to perform on a number of samples at relatively low cost. iMeatSense highlights the potential of a multidisciplinary approach to explore the complexity of the meat/spoilage prediction problem.

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Minced meat

Project VideometerLab

Minced meat

Segmentation

Project VideometerLab

Segmentation

Graphs

Graphs

The project "Intelligent multi-sensor system for meat analysis - iMeatSense_550" has been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research Funding Program: ARISTEIA-I.

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