Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. A raw signal is ingested. A partially normalized signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells can be formulated. The partially normalized signal is annotated with the location annotation. In one aspect, deriving the partially normalized signal includes identifying user information contained within the raw signal. At least one data privacy operation is applied to the user information. The partially normalized signal is generated subsequent to applying the at least one data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events notifying entities of relevant events removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. One or more events are detected. User information is detected in one of the events. The privacy infrastructure applies a data privacy operation on the user information. It is determined that the one or events satisfies the rule formula subsequent to applying the data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for detecting and validating planned event information. The dimensionality of a raw signal is reduced into a normalized signal that includes a probability value. The probability value at least approximates a probability that the normalized signal indicates that a real-world event of a specified event type is occurring. Based on the at least approximated probability, the real-world event of the specified event type is detected as a possible planned event occurring at a venue. The possible planned event is validated as an actual planned event. Validation can include validating data associated with the possible planned event with data from an event planning system associated with the venue. An entity is electronically notified that the actual planned event is occurring.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. A first signal (e.g., a private signal private to an organization or non-private signal controlled by an organization) is accessed based on organizational data privacy access settings associated with the first signal. First one or more features of the first normalized signal are derived. It is determined that the first one or more features do not satisfy conditions to be identified as an event. The first one or more features are aggregated with second one or more features of a second signal into aggregated features. Access to the aggregated features is configured based on data privacy aggregation settings associated with the first signal and data privacy aggregation settings associated with the second signal. An event is detected from the aggregated features.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event. A listening area is monitored based on detecting a potential event from a dimensionally reduced signal, based on characteristics of a dimensionally reduced signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. The listening area is formed from the geo cells included in the geo cell subset and monitored for additional signals. An event is detected and/or validated (or rejected) based on the additional dimensionally reduced signal.

Abstract: Embodiments of a method and/or system for facilitating event-based vehicle operation can include determining a vehicle route; determining geographic regions for the vehicle route; monitoring the determined geographic regions for events; determining an event of interest from the detected events; and/or dynamically facilitating modification of vehicular operation of the vehicle based on the event of interest, such as in response to determination of the event of interest. In one aspect, a vehicle is routed towards an event of interest and assists in remediating the event (or an impact thereof).

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: Embodiments of a method and/or system for facilitating event-based vehicle operation can include routing a vehicle along a route in a three-dimensional space; detecting an event based on the external signal; determining that the event is of interest based on a parameter associated with the vehicle; and re-routing the vehicle towards the event, including modifying a vehicle locomotion component to move the vehicle toward the event along a shortened route.