Hyperspectral Imaging for Material Identification & Separation
In some applications, different materials may look similar in color, shape or appearance and cannot be reliably separated using a conventional camera.
Hyperspectral imaging analyzes the spectral information of each material, enabling materials to be identified and separated based on their composition and not only on their external appearance. Each material has a different spectral signature, which can be used for classification and for detecting foreign objects that visually resemble the product.
Hyperspectral imaging applications in production
Material Identification & Separation
Identification, classification and separation of materials based on their composition and spectral characteristics, even when they have a similar external appearance.
Foreign Object Detection
Detection of unwanted materials or foreign objects that are difficult to distinguish using conventional imaging.
Material Property Analysis
Use of spectral data to evaluate characteristics that cannot be determined from color or shape alone.
Production line integration
The appropriate hyperspectral imaging solution depends on the materials to be identified, the required spectral range, production line speed and application conditions.
At Robovision, we analyze the samples and application requirements, select the appropriate technology and integrate the system into the production process.
