The FS22 imaging hyperspectral camera uses a high diffraction efficiency transmission grating beam splitter module to decompose incident light into spectral information of different wavelengths, which is then combined with a high-sensitivity surface array camera to achieve rapid collection of spectral images through built-in scanning imaging and auxiliary camera technology
Imaging hyperspectral cameraFS22working principleUsing a high diffraction efficiency transmission grating spectroscopic module, the incident light is decomposed into spectral information of different wavelengths, and then combined with a high-sensitivity surface array camera to achieve rapid acquisition of spectral images through built-in scanning imaging and auxiliary camera technology.
Imaging hyperspectral cameraFS22performance parameters
spectral range：400-1000nm， It covers visible light and near-infrared bands, and can capture rich spectral information.
wavelength resolutionBetter than 2.5nm, with up to 1200 spectral channels, it can finely distinguish light of different wavelengths, providing a foundation for accurate spectral analysis.
image resolutionUp to 1920 × 1920, it can provide clear and detailed image information, ensuring accurate observation and analysis of the target object.
dynamic range：12bits， It can effectively distinguish objects with different brightness levels, ensuring the contrast and hierarchy of the image.
Imaging speed≤ 5 seconds, able to quickly obtain spectral image data, improve work efficiency, suitable for applications with high time requirements.
detector type：CMOS， It has the advantages of high sensitivity and low noise, which can better capture light and improve imaging quality.
Sensor imaging surface size11.3 × 7.1mm, standard lens focal length of 25mm, minimum exposure time of 21us, maximum exposure time of 10 seconds.
Functional Features
Easy to operateSolved the difficult to operate problems of traditional hyperspectral cameras requiring external push scan imaging mechanisms and complex focusing. It can be directly integrated with standard C-interface imaging lenses or microscopes, making it convenient for users to install and use in various application scenarios.
Rapid imagingImaging can be completed in 5 seconds, allowing for quick acquisition of spectral image data, which is very helpful for dynamic scenes or tasks that require a large amount of data collection.
ROI functionIt can achieve a single region ROI, making it convenient for users to focus on observing and analyzing the areas of interest, reducing the amount of data processing, and improving work efficiency.
Auxiliary imaging functionBy using auxiliary viewfinder cameras to monitor the shooting area, users can better grasp the shooting situation and accurately select the shooting area.
application field
agricultural sectorIt can be used for monitoring the growth status of crops, detecting pests and diseases, and evaluating soil fertility, helping farmers achieve precision agricultural management and improve crop yield and quality.
food sectorBeing able to detect the quality of food, such as judging the maturity of fruits, detecting the freshness of meat, and detecting foreign objects in food, to ensure food safety and improve the quality control level of the food industry.
industrial inspectionSuitable for appearance inspection, defect detection, material composition analysis, production process monitoring, etc. of industrial products, it helps to improve the automation level and product quality of industrial production, and reduce production costs.
Ecological environment monitoringIt can be used for water pollution monitoring, vegetation coverage monitoring, forest resource investigation, etc., providing scientific basis for ecological environment protection and governance, and helping sustainable development.
geological explorationAssist in identifying geological mineral types, analyzing rock composition, and detecting mineral resources, providing technical support for geological exploration and resource development.
Analysis of hyperspectral imaging on unmanned aerial vehiclesCombined with drones, it can achieve large-scale and rapid hyperspectral imaging monitoring, which has wide applications in agricultural remote sensing, environmental monitoring, resource exploration and other fields. It can obtain hyperspectral data of large areas, improve monitoring efficiency and scope.
