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.
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basic information
<Model Learning Environment "fluxTrainer"> Software that allows for wavelength classification (feature extraction) from a large amount of data captured by a hyperspectral camera, as well as model learning and validation using machine learning. It is capable of comprehensively processing the vast optical information contained in hundreds of wavelengths within hyperspectral data, which has traditionally been considered difficult. Since model learning using machine learning is possible, user validation tasks are made easier, and data scientists are not required. <Model Implementation Environment "fluxEngine"> An SDK for creating applications that run in real-time based on the learning models generated by "fluxTrainer." It also allows for calibration, target position correction, and integration with controllers and PLCs (programmable logic controllers). Results obtained from production and inspection lines can be tuned in fluxTrainer, enabling smooth utilization in business operations at production sites that were not considered in traditional research and evaluation analysis software. *You can view the introduction materials that include use cases from the "PDF Download." Please feel free to contact us with any inquiries.
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Based on the technology and experience cultivated within the Canon Group, we contribute to enhancing our customers' competitiveness. Leveraging the technical skills, development capabilities, and proposal abilities gained from product development at Canon Group and providing IT solutions to group companies, we contribute to solving our customers' challenges. We value our customers' perspectives and aim to provide higher value-added services through the fusion of Canon Group's technological domains and the latest IT technologies.
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