Abstract: Technologies are provided herein for verifying identities of individuals via facial recognition and a graph database. Images of individuals to be identified can be can be captured with multiple mobile devices, such as by crowdsourcing, and transmitted to an identity verification server for identification. The identity verification server can maintain a graph database and locate a potential identity for an individual via facial recognition. Confirmation can he achieved by transmitting an image already in the database. A wide variety of validation techniques can be employed to filter out low quality data and improve the quality of matching. The identity verification server can manage profile information for the verified identity by creating and analyzing nodes and relationship records in the graph database. The identity verification server can update the graph database to track associations between verified identities.

Abstract: Technologies are provided herein for verifying identities of individuals via facial recognition and a graph database. Images of individuals to be identified can be can be captured with multiple mobile devices, such as by crowdsourcing, and transmitted to an identity verification server for identification. The identity verification server can maintain a graph database and locate a potential identity for an individual via facial recognition. Confirmation can be achieved by transmitting an image already in the database. A wide variety of validation techniques can be employed to filter out low quality data and improve the quality of matching. The identity verification server can manage profile information for the verified identity by creating and analyzing nodes and relationship records in the graph database. The identity verification server can update the graph database to track associations between verified identities.

Abstract: Technologies are provided herein for verifying identities of individuals via facial recognition and a graph database. Images of individuals to be identified can be can be captured with multiple mobile devices, such as by crowdsourcing, and transmitted to an identity verification server for identification. The identity verification server can maintain a graph database and locate a potential identity for an individual via facial recognition. Confirmation can be achieved by transmitting an image already in the database. A wide variety of validation techniques can be employed to filter out low quality data and improve the quality of matching. The identity verification server can manage profile information for the verified identity by creating and analyzing nodes and relationship records in the graph database. The identity verification server can update the graph database to track associations between verified identities.

Abstract: Technologies are provided herein for tracking and correlating events via a graph database. Event information comprising identifiers for one or more individuals involved in an event can be transmitted by one or more mobile devices to a server. The server can use nodes and relationship records in the graph database to identify other identified individuals associated with the individuals involved in the event. The server can create and update nodes and relationship records in the graph database to track the received event information. The server can analyze the nodes and relationship records in the graph database to identify event correlations and patterns. The server can generate and transmit event notifications to mobile devices of identified individuals associated with the individuals involved in the event. The event notifications can include information pertaining to the event and/or information pertaining to identified event correlations and/or patterns.