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.

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Maplesoft - Free Whitepaper: Developing a Robot Model using System-Level Design

Maplesoft - Free Whitepaper: Developing a Robot Model using System-Level Design

This paper uses NAO, the humanoid robot from Aldebaran Systems, to demonstrate how MapleSim can be used to develop a robot model, and how the model can be further analyzed using the symbolic computation engine within Maple.