Low-cost Spectral Imaging Solution
Hyperspectral imaging, also called imaging spectroscopy, is a method of obtaining the spectral content of each pixel in a 2D image. The spectral data can be used into identify the chemical compounds or materials. Up till now hyperspectral imaging devices have been very expensive, starting at around $25,000 dollars. Engineers at the Vienna University of Technology and the University of Arizona have shown that they can perform CTIS spectral imaging using an unmodified consumer camera. The device they have developed can be used in a hyperspectral imaging mode that allows the spectral measurement of a whole image with up to 5-nm spectral resolution and 120 x 120-pixel spatial resolution and can be built for under $1000.
Featured Product
3D Vision: Ensenso B now also available as a mono version!
This compact 3D camera series combines a very short working distance, a large field of view and a high depth of field - perfect for bin picking applications. With its ability to capture multiple objects over a large area, it can help robots empty containers more efficiently. Now available from IDS Imaging Development Systems. In the color version of the Ensenso B, the stereo system is equipped with two RGB image sensors. This saves additional sensors and reduces installation space and hardware costs. Now, you can also choose your model to be equipped with two 5 MP mono sensors, achieving impressively high spatial precision. With enhanced sharpness and accuracy, you can tackle applications where absolute precision is essential. The great strength of the Ensenso B lies in the very precise detection of objects at close range. It offers a wide field of view and an impressively high depth of field. This means that the area in which an object is in focus is unusually large. At a distance of 30 centimetres between the camera and the object, the Z-accuracy is approx. 0.1 millimetres. The maximum working distance is 2 meters. This 3D camera series complies with protection class IP65/67 and is ideal for use in industrial environments.
