Abstract: A method of tracking an entity includes generating data relevant to the entity at a first location, storing the data at a server, and accessing at least a portion of the data at the first location or at a second location. The data can include location information, time information, image data, text, and/or biometric data. The data can be encrypted, organized, categorized, updated, accumulated with other data, classified, and/or disseminated, and an automated search can include an image feature recognition and facial recognition search. The entity can be a person, an animal, or an object. A communications system includes a processing device and a server that includes an automated search engine. The server can be configured to perform data analysis, such as data grouping.

Abstract: A method of tracking an entity includes generating data relevant to the entity at a first location, storing the data at a server, and accessing at least a portion of the data at the first location or at a second location. The data can include location information, time information, image data, text, and/or biometric data. The data can be encrypted, organized, categorized, updated, accumulated with other data, classified, and/or disseminated, and an automated search can include an image feature recognition and facial recognition search. The entity can be a person, an animal, or an object. A communications system includes a processing device and a server that includes an automated search engine. The server can be configured to perform data analysis, such as data grouping.

Abstract: A method of tracking an entity includes generating data relevant to the entity at a first location, storing the data at a server, and accessing at least a portion of the data at the first location or at a second location. The data can include location information, time information, image data, text, and/or biometric data. The data can be encrypted, organized, categorized, updated, accumulated with other data, classified, and/or disseminated, and an automated search can include an image feature recognition and facial recognition search. The entity can be a person, an animal, or an object. A communications system includes a processing device and a server that includes an automated search engine. The server can be configured to perform data analysis, such as data grouping.

Abstract: A method of tracking an entity includes generating data relevant to the entity at a first location, storing the data at a server, and accessing at least a portion of the data at the first location or at a second location. The data can include location information, time information, image data, text, and/or biometric data. The data can be encrypted, organized, categorized, updated, accumulated with other data, classified, and/or disseminated, and an automated search can include an image feature recognition and facial recognition search. The entity can be a person, an animal, or an object. A communications system includes a processing device and a server that includes an automated search engine. The server can be configured to perform data analysis, such as data grouping.

Abstract: A method of tracking an entity includes generating data relevant to the entity at a first location, storing the data at a server, and accessing at least a portion of the data at the first location or at a second location. The data can include location information, time information, image data, text, and/or biometric data. The data an be encrypted, organized, categorized, updated, accumulated with other data, classified, and/or disseminated, and an automated search can include an image feature recognition and facial recognition search. The entity can be a person, an animal, or an object. A communications system includes a processing device and a server that includes an automated search engine. The server can be configured to perform data analysis, such as data grouping.

Abstract: A method, system, and computer program product for a visual content feed presentation. The method includes receiving different streams of content from different sources of the streams, characterizing the content in each of the different streams, and determining based upon the characterization of the content of each of the streams, a visual arrangement of the content for presentation in a graphical user interface (GUI). The method further includes presenting the content in the determined visual arrangement in the GUI and text to speech (TTS) converting content in one of the streams and playing back the TTS converted content in synchronization with a display of an avatar in the GUI.