SBIR-STTR Award

This proposal describes an Electromagnetically-Accurate Photogrammetric Camera for assimilation of structural object data from a variety of sources. The system consists of a multi-spectral data capture unit, novel artificial intelligence (AI) and sensor/data fusion processes for object geometry and materials characterization, and a standard interface for 3-D model file downloads. The sensors addressed include acoustic, seismic, radar, ladar, video, and electro-optical. This sensor technology is based on low-cost designs which are in use in today's markets for short range application. Primary anticipated benefits include: 1) minimization of development cycle and product improvement risks for commercial and defense surveillance systems. Alternate benefits include 1) Rapid Model Prototyping, 2) personnel monitoring, 3) site surveillance, 4) Target Identification, 5) Non-LOS detection, and 6) Remote sensing.

The Photogrammetric Camera - as a rapid model prototyper can save the industry millions of man hours in intelligence data collection and physical model development. The indication of materials types and textures, combined with accurate dimensionality, will further enhance the utilization of these models in a plethora of artificial intelligence processes and target recognition studies. The proposed concept provides a low maintenance, low cost, reliable solution, for rapid generation of accurate 3-D geometry (and electromagnetically-accurate) models within a single computer peripheral deviceThe post potential applications for this technology are wide ranging. As mentioned throughout this proposal, the Photogrammetric Camera concept can easily be extended to remote sensing, target identification, concealed weapon detection, personnel finger printing, and ingress/egress surveillance monitors. Many of the requirements levied for remote sensing in homeland security are accommodated by this technology.

Keywords:
photogrammetry, hyperspectral, ccd , mulitspectral, laser, radar, homeland security