Patent application number | Description | Published |
20090182786 | APPLICATION COHERENCY MANAGER - An application coherency manager (ACM) implements and manages the interdependencies of simulation, data, and platform information to simplify the task of organizing and executing large simulations composed of numerous models and data files. One or more file systems or repositories stories raw data in the form of files, data, or models, and a graphical users interface (GUI) enabling a user to enter and receive results from a query involving the files, data, or models. One or more coherency checking modules (CCMs) are operative to determine the types and versions of, and compatibility between, the files, data, or models. A database stores processed information about the file systems or repositories and the results of previous queries, and a data aggregator and manager (DAM) that manages the flow of information between the file system or repository, the GUI, the CCMs, and the database. The invention is applicable to simulation and non-simulation type applications such as document control, source code control, image libraries, etc. | 07-16-2009 |
20110314331 | AUTOMATED TEST AND REPAIR METHOD AND APPARATUS APPLICABLE TO COMPLEX, DISTRIBUTED SYSTEMS - An intelligent system for automatically monitoring, diagnosing, and repairing complex hardware and software systems is presented. A number of functional modules enable the system to collect relevant data from both hardware and software components, analyze the incoming data to detect faults, further monitor sensor data and historical knowledge to predict potential faults, determine an appropriate response to fix the faults, and finally automatically repair the faults when appropriate. The system leverages both software and hardware modules to interact with the complex system being monitored. Additionally, the lessons learned on one system can be applied to better understand events occurring on the same or similar systems. | 12-22-2011 |
20140071037 | BEHAVIOR RECOGNITION SYSTEM - A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. The system described here can identify such differences and categorize these behaviors. Gestures, as previously defined, are motions generated by humans, animals, or machines. Multiple gestures on a body (or bodies) are recognized simultaneously and used in determining behaviors. If multiple bodies are tracked by the system, then overall formations and behaviors (such as military goals) can be determined. | 03-13-2014 |
20140132729 | METHOD AND APPARATUS FOR CAMERA-BASED 3D FLAW TRACKING SYSTEM - Systems and methods facilitate long-range, accurate fiducial tracking using a mixture of pan-tilt and camera devices enabling generalized 3D tracking of fiducials with the automatic mapping of flaw data to component models within standard CAD packages. The invention is suitable to many various tracking applications, particularly large inspection sites such as aircraft surfaces which require vast coverage with a medium-degree of accuracy. A method of surface inspection comprises the steps of moving a fiducial target over a surface under inspection, and tracking the fiducial as it is moved by capturing and storing the coordinates of the fiducial in a database for subsequent retrieval. Machine vision is used to acquire surface inspection data associated with the coordinates of the fiducial as it is moved. The inspection data is integrated into a CAD model, enabling the use of finite element analysis (FEA) to determine or predict flaw and material behavior over time. | 05-15-2014 |
20140132755 | PORTABLE COMPOSABLE MACHINE VISION SYSTEM FOR IDENTIFYING PROJECTILES - 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. | 05-15-2014 |
20140260925 | INTEGRATED POLYMER AND METAL CASE AMMUNITION MANUFACTURING SYSTEM AND METHOD - A fully automated, integrated, end-to-end synchronized and compact manufacturing system produces polymer or metal case ammunition. Manufacturing stations support case assembly, sealing (gluing/welding), final product inspection, cartridge packaging or binning, and loading. Station modularity facilitates rapid changeover to accommodate ammunition of differing calibers. Sensors and apparatus may be provided to place a manufacturing cell in a wait state until all components or materials are received in a preferred orientation for proper assembly. The system may join and use multipart cases, each including a lower portion with a head end attached thereto and at least one upper portion having a necked-down transition to the open top end. Elevator feeders, vibratory bowl feeders, and robotic pick-and-place feeders may be used to deliver components for assembly. | 09-18-2014 |
20140277691 | AUTOMATED WAREHOUSING USING ROBOTIC FORKLIFTS - A system for automated inventory management and material handling removes the requirement to operate fully automatically or all-manual using conventional vertical storage and retrieval (S&R) machines. Inventory requests to place palletized material into storage at a specified lot location or retrieve palletized material from a specified lot are resolved into missions for autonomous fork trucks, equivalent mobile platforms, or manual fork truck drivers (and their equipment) that are autonomously or manually executed to effect the request. Automated trucks plan their own movements to execute the mission over the warehouse aisles or roadways sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. | 09-18-2014 |
20140320486 | ORIENTATIOIN INVARIANT OBJECT IDENTIFICATION USING MODEL-BASED IMAGE PROCESSING - A system for performing object identification combines pose determination, EO/IR sensor data, and novel computer graphics rendering techniques. A first module extracts the orientation and distance of a target in a truth chip given that the target type is known. A second is a module identifies the vehicle within a truth chip given the known distance and elevation angle from camera to target. Image matching is based on synthetic image and truth chip image comparison, where the synthetic image is rotated and moved through a 3-Dimensional space. To limit the search space, it is assumed that the object is positioned on relatively flat ground and that the camera roll angle stays near zero. This leaves three dimensions of motion (distance, heading, and pitch angle) to define the space in which the synthetic target is moved. A graphical user interface (GUI) front end allows the user to manually adjust the orientation of the target within the synthetic images. The system also includes the generation of shadows and allows the user to manipulate the sun angle to approximate the lighting conditions of the test range in the provided video. | 10-30-2014 |