What are the application areas of hyperspectral cameras
1.Agriculture: Hyperspectral technology can be used for health monitoring, soil analysis, water management, and pest and disease detection to help farmers improve.
2.Environment: Hyperspectral techniques can be used to monitor environmental parameters such as air pollution, water pollution, and soil pollution, helping to protect the health of the environment and ecosystems.
3.Mineral exploration: Hyperspectral technology can be used in the field of mineral exploration. Hyperspectral images can provide richer and more accurate ground object information than traditional remote sensing images, and can identify different types of minerals, thereby helping to find mineral deposits. In addition, hyperspectral technology can also provide information about the formation and evolution of mineral deposits, which can help with the location and type of mineral deposits in the future.
4.Remote sensing image analysis: Hyperspectral technology can be used for remote sensing image analysis to help identify and classify different ground objects by obtaining spectral information of surface objects, 5Medical diagnostics: Hyperspectral technology has potential applications in the medical field, such as detection, histopathological analysis, and drug discovery.
At present, hyperspectral cameras are still widely used in university parks and scientific research laboratories, mainly involving pharmaceutical component analysis, fruit and vegetable sorting, screen detection, agricultural product screening, printing textiles and other industries. Specific to the application cases of various industries, such as industrial garbage sorting, printed textile testing, medical such as gastric cancer tissue hyperspectral detection, melanoma identification based on microscopic hyperspectral imaging, etc.;In agriculture, such as vegetable epidermal cell detection, wheat growth, etc.;In addition, it can also detect the face spectrum, mural spectrum to participate in the restoration of cultural relics, etc. The variety of inclusive industries is abundant, and the demand is relatively large. And the forms are also diverse, can be used with a microscope for medical research, can be used with drones for geological exploration, can be paired with tripods to go to all walks of life. The technology continues to improve, and the application range is broader.
1. Analysis of the quality of agricultural products.
Adulterated plastics, food fungal infections, mildew and deterioration, fruit and vegetable damage, and pesticide residues in rice show great similarities in external characteristics, which cannot be detected by the human eye and traditional RGB cameras. With its unique spectral band, the FS series hyperspectral camera collects accurate hyperspectral image data of the analyte, combined with spectral analysis and image processing technology, to quickly detect the internal and external quality characteristics of food to ensure the authenticity and safety of food.
2. Industrial sorting.
Industrial sorting is the non-destructive identification and sorting of defective products and various dopants from large batches of mixed materials with similarities and differences in composition or shape, surface or internal deterioration. In addition to visible light solutions, near-infrared spectral imaging systems are gradually playing an important role in the sorting of fruits, grains, seeds, vegetables, fruits, garbage, and plastics of different materials.
3. Medical Pharmaceuticals.
Using the characteristics of the FS series hyperspectral camera, the spectral differences of the sustained-release coating of tablets, the presence or absence of tablets in capsules or blisters, the sealing of drugs with different ingredients of the same color, and the sealing properties of the left and right parts of the capsules were analyzed, and the detection model was established by hyperspectral imaging technology to realize the non-destructive inspection of the pharmaceutical process.
4. Hyperspectral detection of strawberry root rot.
The early symptoms of root rot are mainly concentrated in the roots and are not easy to detect. If you want to detect the lesion early and prevent and solve it as soon as possible, this is a difficult problem. We can study the changes in strawberry leaves and monitor root rot through hyperspectral cameras.
5. Hyperspectral detection of potatoes.
As one of the main crops in China, potato growth monitoring and yield are related to national food security, so rapid, non-destructive and high-precision quantitative monitoring of potatoes is very important. Aboveground biomass and plant height are important agronomic parameters, which are related to the photosynthesis of crops, and are generally used to evaluate crop growth, estimate crop yield, and evaluate field management benefits. UAV hyperspectral can be used for monitoring.
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