InView workstation enables prototyping of compressive sensing algorithms for development of imaging systems

Dec. 10, 2012
The InView220 workstation provides compressive sensing researchers with the ability to prototype and test novel compressive sensing algorithms on a complete hardware imaging platform.

The InView220 workstation provides compressive sensing researchers with the ability to prototype and test novel compressive sensing algorithms on a complete hardware imaging platform. Researchers can also apply novel measurement bases to a high-speed, high-definition spatial light modulator, and to process the light levels measured from shortwave infrared (SWIR) detectors. The main components of the workstation are an imaging sensor, which includes a 1920 x 1080 digital micromirror device and a 32-diode detector array, as well as a sensor controller, which is preloaded with the InView Development Environment (IDE) software.
InView Technology Corp.
Austin, TX, USA

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NEW PRODUCT PRESS RELEASE

InView Announces Compressive Sensing Workstation

Austin, TX: InView Technology Corporation, the world leader in Compressive Sensing (CS) imaging products, has launched the first in a series of CS Workstations. The InView220 provides CS researchers with the ability to easily prototype and test novel CS algorithms on a complete hardware imaging platform. Researchers are provided with unprecedented ability to apply novel measurement bases to a high-speed, high-definition spatial light modulator, and to process the light levels measured from Shortwave Infrared (SWIR) detectors.

The major components of the InView220 are an imaging Sensor, which includes a 1920x1080 digital micromirror device and a 32-diode detector array, and a Sensor Controller, which is preloaded with the InView Development Environment (IDE) software.

“Until today, researchers have been forced to build and program complex bench-top systems in order to test CS algorithms on real images. InView’s new CS Workstations allow scientists to focus their time on the science instead of the hardware,” stated Dr. Kevin Kelly, InView’s co-founder and Professor at Rice University. “The InView220 will expedite the development of practical high-performance Compressive Sensing-based cameras and hyperspectral imagers.”

InView220 Description
The InView220 includes both a Sensor and a Sensor Controller, allowing the user to develop and test Compressive Sensing algorithms, including custom measurement bases and custom reconstruction code.

The Sensor is a complete electro-optical system. It includes an objective lens, a 1920x1080 TI DMD with a mirror update rate of 10 kHz, a 4 by 8 SWIR detector array, and an analog-to-digital converter. The Sensor segments the scene into 32 distinct sub-images. Each sub-image, or aperture, can be treated as its own “single-pixel” camera. The Sensor employs multiple FPGA devices in order to achieve high-speed performance, including full-rate updates of the DMD patterns.

The Sensor Controller manages the Sensor and provides an 8-core computing platform for the development and testing of custom compressive sensing software. User defined modulation patterns, custom data processing and novel reconstruction algorithms can be rapidly applied and experimentally tested in a stand-alone system without lengthy set-up times. The Sensor and Controller are connected by a high-speed PCI Express interface.

The InView220 is based on InView’s extensive portfolio of CS-related intellectual property.

About InView
InView specializes in the design, development and manufacturing of low-cost SWIR cameras for commercial and laboratory applications. Leveraging its patents in Compressive Sensing, InView’s InGaAs-based solutions can achieve superior results at dramatically reduced prices, and provide leadership price-performance for security, surveillance, maritime navigation, military and other applications.

For more information on the product, please contact:
[email protected]

For more information on InView, please contact:
[email protected]
(512) 243-8751 x 104

InView and the InView logo are trademarks of InView Technology Corporation. Other trademarks or brand names mentioned herein are trademarks of their respective holders.

SOURCE: InView Technology

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