High Speed Innovative Electronic Image Stabilization

Since the tragic events of 9/11, video surveillance is rapidly becoming the foundation for securing all aspects of our society. From retail to government facilities, traffic lights to UAVs, video surveillance is at the forefront of our ability to secure property, borders, and nations. A major challenge of video surveillance is to increase the intelligence of the video remotely by extracting information of value at the sensor, information requiring potential action such as targets that represent a possible threat. The challenge to produce actionable information is only exacerbated when the camera is moving, as in the case of mobile applications such as UAVs (Unmanned Aerial Vehicles), UGVs (Unmanned Ground Vehicles), Armed Robot, and USVs (Unmanned Surface Vehicles). Technest proposes to leverage the current version of SolidVision on the SOS miniature processing platform to further develop the SolidVision algorithm to extend its capabilities to super-resolution and optimize the stablization/super-resolution algorithm for higher performance on miniature electronics. The result will be miniature image processor that can stabilize and provide super-resolution for multiple sensors.