Ombra has developed a range of technologies to support the US Department of Defense and other organizations.
Focus areas for the company are biometrics, space technologies, artificial intelligence, machine learning, power and energy, and undersea technologies. See below for more details on our work in those areas.
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The president of our company, Michael Fieldson, started working in biometrics in 2005 with USSOCOM. Our experience includes long-range facial recognition, fingerprint and IRIS technologies.
We recently have been working on improving facial recognition systems to help protect an individual’s biometric signature. In addition, we developed a Touchless Fingerprint Identification Toolkit (TFIT) that is an open-source Android application for fingerprint recognition on a mobile smartphone using the device’s stock camera. It is being developed to fill an Army need for a low-cost biometric identity solution that can be widely deployed in the field using devices that many personnel are already carrying.
Our biometrics team includes a PhD with more than 10 years of experience developing software solutions for biometric recognition systems, including matching and anti-spoofing algorithms.
The US Space Force increasingly needs innovative new technologies and has awarded multiple contracts to Ombra. Our current work in the space industry is focused on CubeSats (a class of research spacecraft called nanosatellites that weigh less than 20 pounds), and tethering capabilities.
We are also working on the Hub Advanced Payload System, a small communications hub, which is designed to perform signal processing to receive and transmit messages. It enables more efficient use of bandwidth and will be co-hosted on multiple Geosynchronous Earth Orbit (GEO) platforms operating in multiple bands.
In the future, we plan to work more on small satellites as well as payloads to larger satellites.
And Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are other focus areas for Ombra. In a recent Biometrics Machine Learning (BioML) project for the DOD, Ombra leveraged a variety of image processing and classification tools, including Convolutional Neural Networks (CNN), for segmentation, quality assessment, and error correction of biometric data. The goal of this effort was to clean the DOD Automated Biometric Identification System (ABIS) database, focusing initially on fingerprint and face modalities. BioML is designed to identify and correct duplicate, mislabeled, missing, low quality, and otherwise erroneous biometric data.
Once the entire new BioML system is completed, ABIS will have BioML fully embedded for new data acquisition and functionality with commercial and government off-the-shelf products.
Power and Energy
Clean energy is finally gaining traction in the US and Ombra is starting to research new battery chemistry and production technologies. The technology will drive both EV and military markets.
Another focus area for us is undersea technologies. While we are not as far along in these technologies, we are actively researching and studying the space and will begin developing early prototypes in 2023.