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Cubert to Showcase Groundbreaking ULTRIS XMR with Cuvis.ai Software

Cubert GmbHRequest Info
 
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Cubert to Showcase Groundbreaking ULTRIS XMR with Cuvis.ai Software - Cubert GmbHThe revolutionary ULTRIS XMR hyperspectral video camera is at the heart of our exhibit. This groundbreaking technology excels in real-time tracking of moving objects, making it indispensable for industries that require dynamic monitoring. The ULTRIS XMR is unmatched in detecting, analyzing, and quantifying chemical composition and material properties of surfaces. With the ability to capture 61 spectral channels at a 1-Megapixel resolution simultaneously, it offers high-resolution, non-invasive, rapid, and precise analysis. This makes it an ideal tool for applications ranging from quality control in manufacturing to detailed environmental monitoring.

When paired with our powerful cuvis.ai software, the ULTRIS XMR becomes a game-changer for real-time imaging and data analysis across multiple industries. Cuvis.ai is an open-source, low-code platform designed to effortlessly transform complex hyperspectral data into actionable insights. It enhances the camera’s capabilities by providing real-time classification and analysis of spectral data, enabling precise detection, identification, and quantification of chemical and biophysical parameters.

The versatility of the ULTRIS XMR also extends to the medical field, where it plays a critical role in various applications, including surgeries. Its advanced hyperspectral imaging capabilities provide real-time, high-resolution images that assist in identifying tissue types, assessing vascularization, and monitoring surgical outcomes. Furthermore, its C-mount compatibility allows for easy integration with a wide range of medical devices, such as microscopes, endoscopes, and other optical instruments, thereby enhancing precision and patient care.



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Productshyperspectral imaging camerashyperspectralhyperspectral imagingvideo cameramedical applicationtracking of moving objectsdynamic monitoringagriculture imagingdroneremote sensinglight field technologyImagingVision Spectra

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