Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Abstract: A novel location and marking system is configured to provide a seamless in-the-field access to resource and asset information databases with automated functionality that effectively and more efficiently manages, controls, and distributes data according to some embodiments. In some embodiments, such systems can enable utilities to manage assets in real-time, provide map asset status, and provide automatic ticket routing, dispatching and management. For example, in some embodiments, the system is configured to generate maps with identifiers or components of an active division including tickets of one or more assets of an active division. These assets include sites of residential and business gas, electrical, and/or water and sewer conduits and metering systems, as well as related underground infrastructure that can be susceptible to earthquakes, ground disturbances, and other emergency situations according to some embodiments.

Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Abstract: A novel location and marking system is configured to provide a seamless in-the-field access to resource and asset information databases with automated functionality that effectively and more efficiently manages, controls, and distributes data according to some embodiments. In some embodiments, such systems can enable utilities to manage assets in real-time, provide map asset status, and provide automatic ticket routing, dispatching and management. For example, in some embodiments, the system is configured to generate maps with identifiers or components of an active division including tickets of one or more assets of an active division. These assets include sites of residential and business gas, electrical, and/or water and sewer conduits and metering systems, as well as related underground infrastructure that can be susceptible to earthquakes, ground disturbances, and other emergency situations according to some embodiments.