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Optimise your food production with MV.C NIR hyperspectral sensor

Headwall

Headwall' s MV.C NIR hyperspectral sensors allow food producers to accurately monitor the quality of their raw materials, semi-finished and finished products. This sensor, with a spectral range of 900 nm to 1700 nm, is designed to provide crucial information such as moisture content, contamination and other material properties not visible to the naked eye. The MV.C NIR makes it easy to perform real-time, non-destructive analysis for both quality control and process optimisation.

The MV.C NIR is compatible with the perClass Mira Software, enabling advanced machine learning analysis. This combination provides powerful tools to automatically detect abnormalities and contaminants in products such as bread, meat and dairy. Suitable for both laboratory and in-line applications, the sensor delivers reliable results for fast and efficient decisions on the production floor. The perClass Mira Stage, a scanning setup specifically designed to analyse complex processes and compositions in real-time, is also suitable for use with this instrument.

Key benefits

Wide spectral range: Detects crucial product properties such as moisture and contaminants.
Real-time results: Fast and accurate analyses to optimise processes immediately.
Flexible integration: Suitable for both in-line and laboratory set-ups.
Powerful software: Integrated with perClass Mira for accurate data analysis and automated decision-making.
Industrial design: Durable and robust, suitable for demanding production environments.
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