ToolBox for Hyper-Spectral Image Analysis Software by perClass
The classification of hyperspectral images (classifier) can be deployed from a research prototype to a production environment using perClass, which can be embedded into machines in just a few minutes with its unique execution runtime. It runs classification (classifier) in real-time without additional programming. This allows for quick testing of improved solutions in a production environment, significantly reducing development time. It can be deployed to C/C++, OpenCV, .Net, LabView, HALCON, Cognex Vision Pro, Matlabcompiler, MS SQL Server, etc.
![Classification-01[1].png](https://image.www.ipros.com/public/product/image/d92/2000562500/IPROS36093285764652909551.png?w=280&h=280)
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basic information
The classification of hyperspectral images (classifier) can be deployed from a research prototype to a production environment using perClass, which can be embedded into machines in just a few minutes with its unique execution runtime. It allows for real-time classification (classifier) to be executed without additional programming. This enables rapid testing of improved solutions in a production environment, significantly reducing development time. It can be deployed to C/C++, OpenCV, .Net, LabView, HALCON, Cognex Vision Pro, Matlab compiler, MS SQL Server, etc.
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Software for industrial hyperspectral imaging
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Company information
DHT, or Delft High Tech Co., Ltd., has specialized in the field of image processing related to the application of digital technology since its establishment. Through a unique network and channels, we have consistently provided new image sensors and cutting-edge image-related cameras to the domestic Japanese market, always aiming for technological breakthroughs. From now on, we will handle world-leading products regardless of the field, and with the combined efforts of all our employees, who are filled with unique beliefs and a spirit of challenge, we hope to continue to develop innovative world-class products that contribute to our customers' happiness and to take on the challenge of exploring future markets.
