Inventech Menu
English

Unveiling liquid secrets: cutting-edge spectral analysis for fluid innovation

Headwall

Headwall's MV.C VNIR hyperspectral sensor, with a spectral range of 400 nm to 1000 nm, is a powerful solution for the non-destructive analysis of liquids in various industries. This sensor provides detailed spectral data essential for identifying compositions, contaminants, and quality differences in liquids. Whether in industrial processes, chemical analysis or quality control of liquids, the MV.C VNIR delivers real-time insights that increase process efficiency and reliability.

The MV.C VNIR is compatible with the perClass Mira Software, which allows advanced machine learning models to be applied for accurate spectral analysis. This sensor can be used for applications such as liquid inspection in the food industry, chemical production, and pharmaceutical sector. The perClass Mira Stage, a scanning setup specifically designed to analyse complex processes and assemblies in real-time, is also suitable for use with this instrument.

Key benefits

Wide spectral range: Precise analysis of liquids, including compositions and detection of contaminants.
Real-time process monitoring: Direct spectral data analysis for quick decisions in production processes.
Non-destructive inspection: Ensures reliable analysis without altering the liquids.
Flexible applications: Suitable for both laboratory analysis and in-line monitoring of liquids in industrial environments.
Advanced software: Compatible with perClass Mira for machine learning-driven analysis and anomaly detection in liquids.
More information

Transform your liquid analysis. Unlock the potential of Headwall's MV.C VNIR hyperspectral sensor for non-destructive liquid analysis across various industries! Download the brochure here. 

Receive information immediately
Contact us today

What would you like to measure?

Contact us for more information, we are happy to help.

Vul onderstaande gegevens in om meer informatie te ontvangen. U ontvangt een e-mail met de gevraagde informatie.