Spectral Data
Imaging technology captures a continuous stream of light across hundreds of narrow spectral bands as a material moves past a fixed sensor. Unlike standard cameras that record primary color channels, line-scan hyperspectral systems record a full spectrum for every pixel in a single line. As the fabric or raw fibre travels on a conveyor belt, the system builds a two dimensional image where the third dimension is the spectral signature.
This detailed data allows for the identification of specific polymers or contaminants based on their unique light absorption patterns.
Industrial Sorting
Textile recycling facilities use line-scan hyperspectral sensors to differentiate between chemically similar fibres like cotton and viscose. The system identifies the material composition in real time, allowing pneumatic ejectors to sort garments by fibre type. This precision is necessary for chemical recycling processes that require a pure feedstock.
It operates at high speeds, processing several tons of material per hour with consistent accuracy.
Quality Inspection
In cotton cleaning, line-scan hyperspectral imaging detects translucent polypropylene strings that are invisible to the naked eye. These plastic contaminants cause failures in the dyeing process. The camera identifies the spectral peak and triggers removal.
This capability exceeds the performance of traditional systems.
Operational Requirement
Successful implementation of line-scan hyperspectral technology requires a stable and intense light source that covers the entire targeted wavelength range. Halogen lamps are often used because they provide a broad spectrum, though they generate significant heat that must be managed. If the lighting fluctuates or dims, the spectral data becomes unreliable and leads to sorting errors.
Proper calibration against a known reference material ensures the system remains accurate over long production shifts.
