See the recording of a FREE Webinar on non-contact prediction of Brix in Blueberries using the Headwall MV.C NIR Hyperspectral Sensor with the perClass MIRA Scanning Stage.
From specialty crops to seafood and poultry, the global food industry adopts advanced tools to ensure the quality and safety of food supplies. Factories and processing plants screen, grade, and sort incoming material, and then inspect finished or semi-finished goods before shipment to customers with high standards. Increase accuracy and achieve more consistent performance.
Introducing the newest member of the family of Headwall sensors, the Hyperspec MV.X. Hyperspectral systems have historically faced significant hurdles in industrial deployment due to the need to handle vast amounts of raw data as well as the complexity of model development. Headwall’s award winning MV.X technology platform overcomes these obstacles by combining a high-performance spectrometer with powerful embedded computing to extract actionable results in real time.
From specialty crops to seafood and poultry, the global food processing industry needs newer and more precise tools to meet stringent government regulations. Uncertainty resulting from reliance on human inspectors or limited capability RGB cameras is creating a strong drive for adoption of advanced hyperspectral imaging systems that are simultaneously robust, affordable, and easy to deploy.
Even the most well-developed process can suffer from undesired changes that are indetectable by conventional means. Hyperspectral imaging can see and characterize things by capturing the fine spectral detail lost when using color or multispectral sensors.
Precise color is fundamental to industries such as automotive, textiles, and paint. Headwall’s spectral imaging sensors and spectrometers deliver very high spatial and spectral resolution across a wide field of view. Our Hyperspec™ sensors and the new MV.X family featuring embedded-processing capabilities help customers save time and money.
Hyperspectral imaging from the air, in greenhouses, and in laboratories is transforming phenomics, enabling rapid screening and allowing advances in genotyping and phenotyping, as well as efforts to breed more disease-resistant or higher-efficiency crop varieties.
The wide spectral range of Headwall hyperspectral sensors means that even similar material (such as plastics sharing the same visible color) can be distinguished and separated based on the spectral signature of each distinct material.