Abstract: A computer vision system includes a camera that captures a plurality of image frames of a target field of view; a processing unit coupled to the camera, the processing unit is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera and relay the outputs of those computations to a database on a set of servers, the database is connected to a web accessible user interface which allows users to view and interact with the data as well as add data and information that is stored in the database and visualized via the interface. The system provides identification and quantification of group formation.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system provides physical security coaching.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system detects and tracks animal wellness and habitat/intervention design.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system provides identification of intensity of movement pathways within a space.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system detects people, identification of their location in a field of view as well as their actual physical location in a space detects.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system identifies the dimensions of a space from only a picture and a user input reference marker.

Abstract: A system provides quantification and mapping of cultural characteristics. An analytic engine collects and organizes cultural attribute information by binary score and by cultural tendency. A cultural score engine coupled to the analytic engine receives cultural attribute information by category and scores the cultural attribute data for each cultural attribute to create scored data. A map engine receives the scored data and maps the cultural attribute data to a graphic output. An assessment engine quantifies areas, organization priorities, or cultural tendencies associated with each graphic output. A comparison engine compares a plurality of graphic outputs in a single comparison graphic output of cultural tendencies.

Abstract: A method is provided for quantification and mapping of cultural characteristics. Using an analytic engine, cultural attribute information is collected and organized by assigning binary scores to cultural tendencies. Using a cultural score engine coupled to the analytic engine, cultural attribute data is scored for each cultural attribute category to create scored data. Scored data is mapped to a graphic output using a map engine. Quantification of areas, organization priorities, or cultural tendencies associated with each graphic output is performed with an assessment engine. Comparing multiple cultures or scenarios affecting cultural attributes is executed by a comparison engine that compares multiple cultural graphic outputs in a single comparison graphic output of cultural tendencies.

Abstract: A system is provided for qualifying and analyzing data for at least one business intelligence. A platform receives source data. A data management system transforms raw data and stores it. An analytic engine is included. In operation the data management system receives first, second, and third streams of source data. The first stream is client source data, the second stream is public source data and the third stream is acquired by the data management system. The data management system organizes the first, second and third streams of data into items and their attributes. The analytic engine receives the items with their attributes from the data management system and applies logic to provide multi-dimensional analysis relative to a scale for at least one business intelligence.

Abstract: A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

Abstract: A method is provided for quantification and mapping of cultural characteristics. Using an analytic engine, cultural attribute information is collected and organized by assigning binary scores to cultural tendencies. Using a cultural score engine coupled to the analytic engine, cultural attribute data is scored for each cultural attribute category to create scored data. Scored data is mapped to a graphic output using a map engine. Quantification of areas, organization priorities, or cultural tendencies associated with each graphic output is performed with an assessment engine. Comparing multiple cultures or scenarios affecting cultural attributes is executed by a comparison engine that compares multiple cultural graphic outputs in a single comparison graphic output of cultural tendencies.

Abstract: A system provides quantification and mapping of cultural characteristics. An analytic engine collects and organizes cultural attribute information by binary score and by cultural tendency. A cultural score engine coupled to the analytic engine receives cultural attribute information by category and scores the cultural attribute data for each cultural attribute to create scored data. A map engine receives the scored data and maps the cultural attribute data to a graphic output. An assessment engine quantifies areas, organization priorities, or cultural tendencies associated with each graphic output. A comparison engine compares a plurality of graphic outputs in a single comparison graphic output of cultural tendencies.

Abstract: A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

Abstract: A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

Abstract: A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

Abstract: A system is provided for qualifying and analyzing data for at least one business intelligence. A platform receives source data. A data management system transforms raw data and stores it. An analytic engine is included. In operation the data management system receives first, second, and third streams of source data. The first stream is client source data, the second stream is public source data and the third stream is acquired by the data management system. The data management system organizes the first, second and third streams of data into items and their attributes. The analytic engine receives the items with their attributes from the data management system and applies logic to provide multi-dimensional analysis relative to a scale for at least one business intelligence.