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.

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: 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 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: 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 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: Provided herein are systems and methods for determining a refined oilfield location area from a notified oilfield location. The methods and systems access notifications of intent to obtain a notified oilfield location record that includes at least a notified place name, a notified distance from a place associated with the notified place name and a notified approximate direction from the place associated with the notified place name. The methods and systems further determine a candidate location area based on the notified distance and the notified approximate direction. The methods and system further obtain auxiliary information associated with information identified within the notification of intent. The methods and systems further determine a second candidate location area based on the auxiliary information and determine the refined location area based on an intersection of the first candidate location area and the second candidate location area.

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 and according to supplemental information about EI features in the global terrain. The method further uses the results of the identification to update the EI feature recognition model.

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: 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: 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: 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: 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 and according to supplemental information about EI features in the global terrain. The method further uses the results of the identification to update the EI feature recognition model.

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 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 and according to supplemental information about EI features in the global terrain. The method further uses the results of the identification to update the EI feature recognition model.

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: 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: 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.