Techniques are provided for automated determination of a rocket configuration based on acceleration during rocket motor burn-out and temperature. The rocket configuration is associated with a class of warhead affixed to the rocket. A methodology implementing the techniques according to an embodiment includes measuring the acceleration of the rocket over a period of time associated with the flight of the rocket. The method also includes calculating an acceleration difference between the measured acceleration associated with the start of rocket motor burn-out and the measured acceleration associated with the end of rocket motor burn-out. The method further includes measuring an internal temperature of the rocket and selecting a delta acceleration threshold based on the measured temperature. The method further includes comparing the calculated acceleration difference to the selected delta acceleration threshold, to estimate the rocket configuration. The estimated rocket configuration is used by guidance and control circuitry to select autopilot parameters.

A training aid for use in training canines to detect an explosive material includes an explosive material adsorbed in the pores of a high surface area mesoporous or nanoporous host material. By adjusting the surfaces of the pores of the substrate material, the substrate can accommodate various types of explosive materials in a non-detonable and non-flammable manner, including nitroaromatics, nitroamines, nitrate-based explosives, and peroxide-based explosives. When the training aid is in an unsealed condition, a continuous flux of explosive material is released without providing any explosive or flame hazard to the trainer and canine.

A computing system for dynamic forensic data capture and analysis is provided. The computing system may include a processor coupled to a memory to execute forensic analysis detection scheme using a forensic analysis agent of a client node and a forensic analysis module at a networked server node. The processor may be operable to receive a user request for a computer activity and sensed image data associated with the forensic evidence while the client node is coupled within a forensic microscope assembly that optically aligns an image sensor of the client node with the forensic evidence. The processor may also be operable to generate and send ballistic specimen data including images, video, GPS data and the like to the networked server, wherein the processor is operable to generate ballistic imaging metadata. Further, the processor may be operable to detect matching records of spent ballistics and generate a hit report thereby.

A computing system for dynamic forensic data capture and analysis is provided. The computing system may include a processor coupled to a memory to execute forensic analysis detection scheme using a forensic analysis agent of a client node and a forensic analysis module at a networked server node. The processor may be operable to receive a user request for a computer activity and sensed image data associated with the forensic evidence while the client node is coupled within a forensic microscope assembly that optically aligns an image sensor of the client node with the forensic evidence. The processor may also be operable to generate and send ballistic specimen data including images, video, GPS data and the like to the networked server, wherein the processor is operable to generate ballistic imaging metadata. Further, the processor may be operable to detect matching records of spent ballistics and generate a hit report thereby.

A rotary shock testing machine including: a base; a shaft rotatable relative to the base; a test disc for holding one or more specimens to be tested, the test disc being rotatable with the shaft; an actuator for applying a rotation to the shaft and test disc; and a brake for applying a braking force to the test disc to subject the one or more specimens to a rotary shock.

A rotary shock testing machine including: a base; a shaft rotatable relative to the base; a test disc for holding one or more specimens to be tested, the test disc being rotatable with the shaft; an actuator for applying a rotation to the shaft and test disc; and a brake for applying a braking force to the test disc to subject the one or more specimens to a rotary shock.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

A non-destructive inspection method that comprises obtaining one or more images corresponding to an X-ray, scanning electron microscope, or CT scan of an object, assigning numeric values to pixels of the images, comparing the numeric values to reference numeric values, and identifying an anomaly in the object based on the comparison. A non-destructive inspection system that comprises at least one processor, a memory in communication with the processor and storing instructions that causes the processor to obtain an image corresponding to an X-ray, scanning electron microscope, or CT scan of an object, assign numeric values to pixels of the image, compare the assigned numeric values to reference numeric values, and identify an anomaly in the object based on the comparison.

A non-destructive inspection method that comprises obtaining one or more images corresponding to an X-ray, scanning electron microscope, or CT scan of an object, assigning numeric values to pixels of the images, comparing the numeric values to reference numeric values, and identifying an anomaly in the object based on the comparison. A non-destructive inspection system that comprises at least one processor, a memory in communication with the processor and storing instructions that causes the processor to obtain an image corresponding to an X-ray, scanning electron microscope, or CT scan of an object, assign numeric values to pixels of the image, compare the assigned numeric values to reference numeric values, and identify an anomaly in the object based on the comparison.