Innovative hyperspectral analysis for maximum accuracy

Headwall

The MV.C VNIR combines precision and user-friendliness to optimise processes and ensure superior quality control.

De voordelen van het product

The MV.C VNIR hyperspectral sensor by Headwall offers a spectral range of 400 to 1000 nm, making it ideal for real-time analysis of solid materials in industries such as food, recycling, pharmaceuticals, and materials research. This sensor captures detailed spectral data to identify compositions, detect contaminants, and enhance quality checks. These capabilities contribute to a more efficient production process and improved accuracy.

Compatible with perClass Mira Software, the MV.C VNIR enables advanced machine learning-driven analysis for automated detection and spectral classification. For added flexibility, the sensor can be paired with the perClass Mira Stage, a portable scanning setup. The stage facilitates fast and accurate data collection and is designed for both laboratory and inline applications.

Optimise your processes and improve efficiency with the MV.C VNIR hyperspectral sensor from Headwall.

  • Wide spectral range (400-1000 nm). Non-destructive inspection. Real-time results. Suitable for laboratories and production lines. perClass Mira Stage: Efficient scanning solution for complex processes. Integration with perClass Mira for machine learning-driven detection and analysis.

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Certified engineers

Our VCA-certified specialists understand both your instrumentation and application and provide fast, expert support on site.

Knowledge partner

We support you throughout every stage of the process, from selection and integration to calibration, data interpretation, and maintenance.

Maximum return on investment

We combine our expertise, instrumentation, and service to ensure your measurement solutions deliver optimal performance and maximum value.

Discuss your challenge

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.