InView Awarded STTR Grant for Infrared Sensor Solution
InView Technology Corporation, known for its work in Compressive Sensing and Short Wave Infrared imaging has been awarded an STTR contract by the U.S. Army Research Office to perform research on a Compressive Sensing sensor and algorithms that will have the capability to detect fast moving objects. Professors from Rice University, who are also co-founders of InView, will also be participating in this research effort.
The results of this Phase One Small Business Technology Transfer (STTR) research effort can lead to the development of solutions for many important security and surveillance applications, such as area monitoring using an unattended sensor network.
Dr. Lenore McMackin, CTO of InView, stated, “The objectives of this Phase 1 effort are to define reliable Compressive Sensing algorithms for rapid change detection, and to define a small-form factor, low-cost hardware platform with sample speeds required to detect fast moving objects. Furthermore the effort will perform system-level simulations to analyze the spectral, spatial and change-detection algorithms on a model of the platform.”
Dr, Richard Baraniuk, Professor of Rice University and Board member of InView stated: “InView and its close partner Rice University are world leaders in CS imaging algorithms and CS imaging sensor development. Over the last 8 years, there has been impressive progress on imaging architectures that seek to reduce the amount of data required to be sensed by exploiting the information sparsity of natural scenes.”