Detecting product defects that are difficult to identify with RGB cameras. For quality inspection of semiconductors, films and materials, FPDs, etc.
This is a general-purpose industrial software that performs data processing centered on hyperspectral imaging (HSI) technology. It enables the development of analysis and measurement models using machine learning, allowing for the visualization, classification, and measurement of objects on manufacturing lines.
Currently, the Japanese hyperspectral camera market is primarily focused on academia and research and development, but significant growth is expected in the industrial market in the future. Industrial software that processes the vast amount of information output from hyperspectral cameras will become increasingly important.
【Features】
- Supports data cube (ENVI_Cube) file input and hyperspectral camera input
- Equipped with measurement functions utilizing interference technology in addition to classification and quantification of targets
- Allows for the generation of classification and measurement models using machine learning with simple UI operations
- Enables real-time classification and measurement using inline execution tools
- Compatible with hyperspectral cameras using "push broom," "tunable bandpass filter," and "snapshot mosaic" methods
- Available for Windows, Linux, and MacOS 64bit
- Supports Intel, AMD, and ARM
*For more details, please refer to the PDF.
