Android for Media devices

As part of NeST’s focus on the upcoming mobile platforms, NeST has started activities on Android platform right from the inception of Android. Recently NeST has secured a contract with a CE leader to provide an Android port for multi-media devices like STBs, and Media Players.

The device will run on OMAP and feature a customized media framework, new UI and support for integrating services like DRM/CA. The work will involve porting the Android kernel, customizing the media frame work, new media plug-ins and providing a GUI instead of the default Android GUI.

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Support Vector Machine (SVM) Classifiers

(For Machine Vision and medical imaging)

SVMs are a set of machine learning algorithms for classification and regression. It has better generalization performance than all other existing classifiers. It has been identified as a major tool for the future by Intel. It is also identified as a potential application area for multicore/GPGPU by the Berkeley Research Group.

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Multi-spectral Image Fusion

Image fusion is the concept of combining information from multiple images into a single image. Pan-sharpening is an example of image fusion

Pan-sharpening and Satellite Imaging

Pan-sharpening refers to the fusion of low resolution multi-spectral (colour) images with high resolution panchromatic (black & white) image to produce a high resolution colour image. The input images are assumed to be co-georegistered. The output image retains (ideally) the spectral features of the colour images and the spatial features of the panchromatic image.

Most Earth resource satellites provide multi-spectral images at a lower spatial resolution and panchromatic images at a higher spatial resolution. This is true for SPOT, IRS, Landsat 7, IKONOS, and Quickbird.

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Traffic Sign Detection and Recognition

Active safety solutions are fast gaining popularity in the automotive industry. Most of the research and development in this field are focused on prevention of accidents. Human errors are identified as a large contributing factor for major crashes. Driver assistance systems help the drivers to avoid potentially fatal vehicle crashes. The research team at NeST Technology development center team is working towards innovative driver assistance solutions. The focus is on vision based recognition and early warning systems as future safety systems.

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Power Quality Analysis

As part of NeST’s focus on SMART GRID, our engineers have come out with algorithms required for advanced power quality analysis. It is essential for new generation devices to have clean power and these algorithms may be used as part of the monitoring and control devices. NeST is currently designing a standalone HW also to run this with necessary interfaces to power lines.

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Software GPS Signal Simulator

Modern GPS receivers adopt a digital architecture. RF signal is converted to digital data and DSP is used to extract satellite data. This serves the important purposes of re-programmability and flexibility. In this context a software GPS signal simulator which generates digital GPS waveform is an important tool for research and performance analysis of GPS receiver algorithms.

The GPS Signal Simulator developed by NeST is a highly flexible and modular software tool based on MATLAB. It provides "true to life" multi channel GPS L1 band signal under conditions defined and completely controlled by the user. Output is available as a binary file which can be used as offline input for software receivers

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