- real-time object detection software
- real time broadband reverberation modeling
- technology investments
Newport RI 02840
Prometheus Inc., incorporated in 1983, is a mathematics and engineering research firm that specializes in the application of high-level mathematics to modeling, simulation and signal processing. Our objective is to improve our customers’ system performance by the formulation, design and integration of accurate and computationally efficient algorithms. Developers of radar, sonar, and oceanographic systems which require management and analysis of large amounts of data are our principal customers. In most cases we completely eliminate the need for changes in hardware while significantly improving system performance.
Our senior professional staff of 23 includes 15 PhD scientists (mathematics, engineering, physics). With over ten centuries of combined experience,
Prometheus Inc. brings together experts in acoustics, antenna array design, applied probability, coding, computational methods, digital filtering, Fourier analysis, image processing, modeling, optimization, pattern recognition, physics, radar, scattering theory, signal processing, simulation and statistical analysis. When you work with a team of Prometheus Scientists you will have top-level applied mathematicians focusing on the specific problems of interest to you.
Our goal: Provide mathematical solutions and real-time code to dramatically improve system performance at reduced costs.
Prometheus has provided computationally efficient mathematical solutions for: remote material discrimination with radar and sonar; feature-based pattern recognition; real time broadband reverberation modeling; closely spaced object discrimination; waveform diversity, particularly for space-based radar; and the Advanced Acquisition Decision Aid to evaluate technology investments.
Supported by the U.S. Navy, Air Force and National Reconnaissance Office
Prometheus developed algorithms leading to the automatic determination and discrimination, in intense clutter, of organic materials including foliage, people, chemicals and biologicals at various temperatures and moisture content, as well as man-made objects such as submarines and mines. Our algorithms compute materials identification in real time from scattered measurements, have good noise rejection and are robust to clutter. Our success in providing the Fleet with information not available in today’s operational sonar systems is exemplified by the FY12 award of a $3M Rapid Innovation Fund contract by the Navy, which funded only 34 of the several thousand proposals received.
Our real-time object detection software provided a greater than 100-fold data reduction in the analysis of undersea video taken to locate and discriminate chemical munitions canisters in waters near Pearl Harbor.
The above successes should be considered as examples of our capabilities and expertise, not as boundaries on what we can accomplish.