Measure inline the dynamic viscosity and density at resonance frequency and determine the kinematic viscosity, even at high temperatures and pressure
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.
Our VCA-certified specialists understand both your instrumentation and application and provide fast, expert support on site.
We support you throughout every stage of the process, from selection and integration to calibration, data interpretation, and maintenance.
We combine our expertise, instrumentation, and service to ensure your measurement solutions deliver optimal performance and maximum value.
Do you have a question or would you like to discuss your measurement challenges? Our specialists will be happy to help you find the most suitable solution.