GaiaSorter Gaia Hyperspectral Sorter System Introduction: GaiaSorter The core components of the Gaia Hyperspectral Sorter include uniform light sources, spectral cameras, electronically controlled mobile platforms (or conveyors), computers and control software. The working principle is to illuminate the object to be tested (sample) placed on the electronically controlled moving platform (or conveyor belt) by the light source, and the reflected light of the sample is captured by the spectral camera through the lens to obtain one-dimensional image and spectral information, with electronic control The mobile platform (or conveyor belt) drives the sample to run continuously, enabling continuous 1D images and real-time spectral information. All data is recorded by computer software, resulting in a 3D data cube containing image information and spectral information. Through the analysis of the data, it is possible to obtain the information required for the classification and sorting of internal and external information such as moisture and sugar acidity of vegetables, and to carry out subsequent control development, thereby realizing automatic automation of the articles. selected. Technical Parameters: Sample space size (length x width x height, maximum) 300mm × 300mm × 200mm Light space uniformity ≥90% Power input voltage AC 220V ±10% Uniform light source rated working voltage DC12V (by adjusting the voltage to achieve brightness adjustment) The rated total power of the light source ~200W Working distance adjustable range 180mm～600mm Sample table scanning stroke * 400mm
Introduction: GaiaSorter The core components of the Gaia Hyperspectral Sorter include uniform light sources, spectral cameras, electronically controlled mobile platforms (or conveyors), computers and control software. The working principle is to illuminate the object to be tested (sample) placed on the electronically controlled moving platform (or conveyor belt) by the light source, and the reflected light of the sample is captured by the spectral camera through the lens to obtain one-dimensional image and spectral information, with electronic control The mobile platform (or conveyor belt) drives the sample to run continuously, enabling continuous 1D images and real-time spectral information. All data is recorded by computer software, resulting in a 3D data cube containing image information and spectral information. Through the analysis of the data, it is possible to obtain the information required for the classification and sorting of internal and external information such as moisture and sugar acidity of vegetables, and to carry out subsequent control development, thereby realizing automatic automation of the articles. selected.
