Abstract: The present invention relates to systems, methods, and apparatuses for the management, distribution, dispensing, and administration of consumer products, including over-the-counter and prescription medications through use of a product container labeling system and an optional integrated computer-based or online management system. In certain aspects, the invention relates to a product container comprising a hollow body, a child-resistant cap, and a specialized information label affixed to the hollow body.

Abstract: A computer-implemented method for processing images to determine EI site status is provided. The method includes image processing of an aerial image by two EI feature recognition models. A first EI feature recognition model recognizes a first EI feature and a second EI feature recognition model recognizes a second EI feature. The results of each model are further used to determine a composite indication of EI site status.

Abstract: Systems and methods are described for determining job classifications of anonymous users. Energy Infrastructure (EI) information associated with a known EI facility and anonymized location tracking data is obtained. The EI facility information includes a location of the known EI facility and an identification of the known EI facility, and the anonymized location tracking data includes visited locations associated with an anonymous user ID. A job classification is associated with the anonymous user ID based on a correlation between the visited locations, the location of the known EI facility, and the identification of the known EI facility. Location tracking data associated with a user of a known job classification can be used to identify a previously unknown EI facility.

Abstract: A computer-implemented method for processing images to identify Energy Infrastructure (EI) features within aerial images of global terrain is provided. The image processing method identifies information about EI features by applying an EI feature recognition model to aerial images of global terrain. The EI feature recognition model identifies the EI feature information according to image content of the aerial image. The method further provides updates to the identification of the EI feature information according to relationships between identified EI features.

Abstract: Systems and methods are described for identifying and validating the routes and characteristics of roads unknown to a road mapping database. The systems and methods may combine feature recognition analysis of aerial images with other information sources such as location tracking information from a mobile device or client in order to improve the accuracy of road information stored within a road mapping database. The systems and methods may also facilitate the collection of additional information regarding the characteristics of the identified roads from a client device or user thereof.

Abstract: Systems and methods are described for detecting and determining information regarding substance transfer stations and for providing the information to users of an online platform in order to permit the users to make informed choices regarding which station to visit for vehicular loading or unloading of a carried substance. The systems and methods may be suitable for detecting and determining information regarding saltwater disposal stations in an oilfield region.

Abstract: Systems and methods are described for determining job classifications of anonymous users. Energy Infrastructure (EI) information associated with a known EI facility and anonymized location tracking data is obtained. The EI facility information includes a location of the known EI facility and an identification of the known EI facility, and the anonymized location tracking data includes visited locations associated with an anonymous user ID. A job classification is associated with the anonymous user ID based on a correlation between the visited locations, the location of the known EI facility, and the identification of the known EI facility. Location tracking data associated with a user of a known job classification can be used to identify a previously unknown EI facility.

Abstract: Systems and methods for assessing seismic risk. The system and methods disclose deriving a model that is used to assess seismic risk of operations at a given location. A first location is identified for which at least one training seismic risk value is known from independent sources. A plurality of training input parameters associated with the first location is received. The at least one training seismic risk value is received. A process model is derived that relates the plurality of training input parameters to the at least one training seismic risk value by determining influence values of the training input parameters. A second location is identified for which a seismic risk is to be determined. A plurality of working input parameters associated with the second location is received. The process model is applied to the plurality of working input parameters to determine a seismic risk value at the second location.

Abstract: Systems and methods are described for determining a candidate route for a pipeline to convey a fluid from a starting location to a destination location over a portion of terrain. Determination of the pipeline route may be based upon multiple aspects of the terrain including for example terrain elevation data and auxiliary terrain data such as terrain type, land ownership, rights-of-way, land use and ease of terrain access. Systems and methods are further described for determining preferred locations of fluid pumps along the candidate route, for example based upon technical requirements of the pipeline. The systems and methods also facilitate user interaction including the display of the determined route and the pump locations.

Abstract: A computer-implemented method for selecting aerial images for image processing to identify Energy Infrastructure (EI) features is provided. The method includes performing image processing on aerial images of a portion of global terrain captured at different times to determine differences in terrain content the captured images. Aerial images are selected for further image processing according to identified differences in terrain content. The selected images are imaged processed via an EI feature recognition type to identify EI features within the images.

Abstract: Systems and methods for assessing seismic risk. The system and methods disclose deriving a model that is used to assess seismic risk of operations at a given location. A first location is identified for which at least one training seismic risk value is known from independent sources. A plurality of training input parameters associated with the first location is received. The at least one training seismic risk value is received. A process model is derived that relates the plurality of training input parameters to the at least one training seismic risk value by determining influence values of the training input parameters. A second location is identified for which a seismic risk is to be determined. A plurality of working input parameters associated with the second location is received. The process model is applied to the plurality of working input parameters to determine a seismic risk value at the second location.

Abstract: Systems and methods are described for determining job classifications of anonymous users. Energy Infrastructure (EI) information associated with a known EI facility and anonymized location tracking data is obtained. The EI facility information includes a location of the known EI facility and an identification of the known EI facility, and the anonymized location tracking data includes visited locations associated with an anonymous user ID. A job classification is associated with the anonymous user ID based on a correlation between the visited locations, the location of the known EI facility, and the identification of the known EI facility. Location tracking data associated with a user of a known job classification can be used to identify a previously unknown EI facility.

Abstract: Systems and methods are described for identifying and validating the routes and characteristics of roads unknown to a road mapping database. The systems and methods may combine feature recognition analysis of aerial images with other information sources such as location tracking information from a mobile device or client in order to improve the accuracy of road information stored within a road mapping database. The systems and methods may also facilitate the collection of additional information regarding the characteristics of the identified roads from a client device or user thereof.

Abstract: Systems and methods are described for determining job classifications of anonymous users. Energy Infrastructure (EI) information associated with a known EI facility and anonymized location tracking data is obtained. The EI facility information includes a location of the known EI facility and an identification of the known EI facility, and the anonymized location tracking data includes visited locations associated with an anonymous user ID. A job classification is associated with the anonymous user ID based on a correlation between the visited locations, the location of the known EI facility, and the identification of the known EI facility. Location tracking data associated with a user of a known job classification can be used to identify a previously unknown EI facility.

Abstract: A computer-implemented method for processing images to identify Energy Infrastructure (EI) features within aerial images of global terrain is provided. The image processing method identifies information about EI features by applying an EI feature recognition model to aerial images of global terrain. The EI feature recognition model identifies the EI feature information according to image content of the aerial image. The method further provides updates to the identification of the EI feature information according to relationships between identified EI features.

Abstract: Systems and methods are described for determining job classifications of anonymous users. Energy Infrastructure (EI) information associated with a known EI facility and anonymized location tracking data is obtained. The EI facility information includes a location of the known EI facility and an identification of the known EI facility, and the anonymized location tracking data includes visited locations associated with an anonymous user ID. A job classification is associated with the anonymous user ID based on a correlation between the visited locations, the location of the known EI facility, and the identification of the known EI facility. Location tracking data associated with a user of a known job classification can be used to identify a previously unknown EI facility.

Abstract: A computer-implemented method for selecting aerial images for image processing to identify Energy Infrastructure (EI) features is provided. The method includes performing image processing on aerial images of a portion of global terrain captured at different times to determine differences in terrain content the captured images. Aerial images are selected for further image processing according to identified differences in terrain content. The selected images are imaged processed via an EI feature recognition type to identify EI features within the images.

Abstract: Systems and methods are described for identifying and validating the routes and characteristics of roads unknown to a road mapping database. The systems and methods may combine feature recognition analysis of aerial images with other information sources such as location tracking information from a mobile device or client in order to improve the accuracy of road information stored within a road mapping database. The systems and methods may also facilitate the collection of additional information regarding the characteristics of the identified roads from a client device or user thereof.

Abstract: A computer-implemented method for selecting aerial images for image processing to identify Energy Infrastructure (EI) features is provided. The method includes performing image processing on aerial images of a portion of global terrain captured at different times to determine differences in terrain content the captured images. Aerial images are selected for further image processing according to identified differences in terrain content. The selected images are imaged processed via an EI feature recognition type to identify EI features within the images.

Abstract: The subject matter discloses a trash bin device, comprising a first trash bin having a first hollow body, an aperture to the first hollow body, a first lid configured to close the aperture, said lid is connected to an axis connected to the first trash bin and moves in a rotational manner along said axis, a first pedal located in the vicinity of a lower portion of the first trash bin, said first pedal moves when pressed on, a raising mechanism configured to transfer movement of the first pedal to movement of the first lid along the axis, such that pressing on the first pedal results in raising the first lid and enabling inserting an article to the first hollow body. The pedal may be connected to an arm mechanism, a cord mechanism or an electrical mechanism for raising the lid.