Autonomous Situational Awareness
Under any Environmental Conditions
A new Digital Tunable Filter in hardware provides the ability to recognize targets, without false alarms, thousands of times more accurate and faster than the fastest and most powerful algorithms in existence.
25 Nano Seconds Per Pixel The power of the Human Neo Cortex with the ability to recognize target and objective thousands of times faster than the fastest and most powerful algorithms in existence. Never before have drones, observation aircraft and satellites have been this close to autonomy. With the ability to recognize, process and report with unparalleled detection power and accuracy, in a matter of a few system clock cycles, this system is light years ahead of computers and algorithms available to any designer.
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Real Time Passive Detection and Identification of Organic and Inorganic Substances
Sensors using a High Resolution Tunable Filter
The current concepts of FFT and Kalman filters extensively use multiplication and addition in either software or hardware to perform detection and thus long delays. As explained above their resolution is rather poor. Lack of resolutions in detection, most often forces the sensor platform to send raw data to a “center” for post processing and decision making. The delays due to the pre and post processing of data are a hindrance to real time immediate operations.
The results extended studies of the present methodology with respect to speeds are outlined below:
The results extended studies of the present methodology with respect to speeds are outlined below:
- Kalman filtering is probably the most commonly used algorithm for implementing the tracker, although recently Condensation algorithm and mean shift algorithm have shown to provide certain advantages especially in the presence of significant background clutter. The Kalman filter is primarily used for identification and tracking slow moving targets. Tracking is enhanced by the structural information perceived from the moving objects, which improves the classification. Tracking is initiated every time a new moving object is determined in the scene and the features found to fulfill the predefined criteria.
- Kalman filter is considered to be too computationally in-feasible for image super-resolution due to the size of the images and thus the state space involved. It is assumed that a person changes its walking direction and walking speed according to Gaussian distributions, thereby, the translational velocity is assumed to lie between 0 and 150 cm/s.
- Variations of this filter have a widespread use in detection's of moving cars in a parking lot, but they are not suited to track and count vehicles in a fast moving street or highway. Tracking non-rigid targets in low-resolution images has long been realized as a region based correspondence problem, in which each target is mapped from one frame to the next according to its position, dimension, color and other contextual information. When multiple targets exist and their dimensions are not negligible in comparison with their velocities, occlusion or grouping of these targets is a routine event. This brings about uncertainty for the tracking, because the contextual information is only available for the group and individual targets cannot be identified.
Differences in Speed compared with present DSP Practices
A new Digital Tunable Filter in hardware provides the ability to recognize targets, without false alarms, thousands of times more accurate and faster than the fastest and most powerful algorithms in existence.
Identification of Targets and Their Speed
The new Digital Tunable Filter is a ground breaking new technology for Digital Signal Processing (DSP), towards DOD’s goals of detection and identification with much clarity and speeds for Intelligence, Surveillance, and Reconnaissance platforms. The new scheme for detection and identification is posed to open a new window of opportunities for empowering war fighting soldier with quickly putting promising capabilities in
their hands, for his/her safety.
- For the same system of camera, this technology offers the ability of aerial vehicle, to fly in a much higher ranges to cover bigger number of target.
- Significant reduction in the power consumption of a payload.
- Significant reduction in the number of data bits to be transmitted (or processed by an operator) for detection and tracking of targets.
Calibration
Another characteristic of the new technology is a method of calibration due to system imperfections and adverse atmospheric conditions that is far more effective than the present calibration technology.
A new Digital Tunable Filter in hardware provides the ability to recognize targets, without false alarms, thousands of times more accurate and faster than the fastest and most powerful algorithms in existence.
Identification of Targets and Their Speed
The new Digital Tunable Filter is a ground breaking new technology for Digital Signal Processing (DSP), towards DOD’s goals of detection and identification with much clarity and speeds for Intelligence, Surveillance, and Reconnaissance platforms. The new scheme for detection and identification is posed to open a new window of opportunities for empowering war fighting soldier with quickly putting promising capabilities in
their hands, for his/her safety.
- Cost effective technology to reduce volume, weight, mass, and power of equipment in support of Soldier and Squad.
- Equipment Modernization for the development of spacecraft and land based instrument systems that provide revolutionary new capabilities for DOD’s successes in International Arm race.
- Readily achievable, without resorting to costly and long term chase of new discoveries in electro optic or other devices.
- Higher resolutions for detection and identifications
- For the same system of camera, this technology offers the ability of aerial vehicle, to fly in a much higher ranges to cover bigger number of target.
- Higher speeds of processing to allow receiving, and processing video data from many different sensors (multiplexing) for shortest possible time.
- Lower costs for deployment of smaller satellites.
- Significant reduction in the power consumption of a payload.
- Significant reduction in the number of data bits to be transmitted (or processed by an operator) for detection and tracking of targets.
Calibration
Another characteristic of the new technology is a method of calibration due to system imperfections and adverse atmospheric conditions that is far more effective than the present calibration technology.