Abstract: The present invention extends to methods, systems, and computer program products for detecting events from ingested data. Data is ingested. A first score is computed from a portion of the data. The first score indicates a likelihood of the data including event information. Computing resources are allocated to further process the data based on the first score indicating that further processing is warranted. A second score is computed from parameters of the data. An event is detected based on the second score.

Abstract: The present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a frame from a raw streaming signal. A preliminary severity or possible event type is computed from the sampled frame. A deeper inspection request is triggered of the raw streaming signal or of another raw streaming signal. Segments of content from the raw streaming signal or the other raw streaming signal are inspected. An actual severity or actual event type is computed from the inspected content. The actual severity or actual event type can be included in a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for event detection from signal data removing private information. A signal is ingested. A portion of the signal is selected from within the signal. A first score is computed from the selected portion. The first score indicates a likelihood of the signal including information related to an event type. It is determined that processing of another signal is warranted based on the indicated likelihood. Resources are allocated to process the other signal. The other signal is ingested. Parameters associated with the other signal are accessed. A second score is computed from the parameters utilizing the allocated resources. A previously unidentified event of the event type is identified based on the second score and utilizing the allocated resources. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

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 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 identified 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 information contained within the raw signal. At least one data privacy operation is applied to the identified information. The partially normalized signal is generated subsequent to applying the at least one data privacy operation.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. A boundary geometry, a user event truthfulness preference, a first event type, a second event type, and an area are combined into a rule formula. The first event type and a first event truthfulness associated with a detected event are accessed. The second event type and a second event truthfulness associated with another detected event are accessed. It is determined that the first event type and the second event type occurred in combination in the area within a boundary defined by the boundary geometry and that the first event truthfulness and the second event truthfulness both satisfy the user event truthfulness preference. An entity is automatically electronically notified in accordance with notification preferences that the rule formula was satisfied.

Abstract: The present invention extends to methods, systems, and computer program products for event detection removing private information. In one aspect, an event detection infrastructure determines that characteristics of multiple signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

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: Examples extend to methods, systems, and computer program products for managing roadway incidents. A probable origination location of a roadway incident is identified from features of a normalized signal. One or more additional normalized signals within a specified distance of the probable origination location are accessed. The probable origination location is validated, from features of the one or more additional signals, to establish a validated origination location. An event associated with the roadway incident is detected from the features of the normalized signal based on the validated origination location. The detected event includes the validated origination location and a probability that the event is true. Dispatch of resources responding to the roadway incident event is tailored based on the validated origination location and the calculated probability.

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 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: Embodiments of a method and/or system for facilitating event-based vehicle operation can include moving a vehicle along a route that defines coordinates of travel in a three-dimensional space; detecting an event in an area along the route based on an external signal; determining that the event is of interest to an entity based on one or more parameters associated with the vehicle; re-routing the vehicle toward the event along a shortened route that defines adjusted coordinates of travel in the three-dimensional space; and assisting in remediating the event (or an impact thereof) utilizing a vehicle component.

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 methods, systems, and computer program products for notifying entities of relevant events. An event feed containing a plurality of events is received. Each event includes an event location, an event category, an event an event truthfulness, an event severity, and an event time. Entity notification preferences defining events relevant to an entity are accessed. Location and distance preferences collectively define an interest in events within a specified distance of one or more locations. The time preferences define that event notification occur at least within a specified time period of event detection. For an event in the event feed, characteristics of the event are compared to the entity notification preferences. It is determined that the event satisfies the entity notification preferences based on the comparisons. The entity (or another entity) is notified of the event in compliance with the time preferences.

Abstract: The present invention extends to methods, systems, and computer program products for sampling streaming signals at elastic sampling rates. Signal ingestion modules sample a frame from a raw streaming signal in accordance with an elastic signal sampling rate. A possible event type is computed from the sampled signal data. A deeper inspection request is triggered of the raw streaming signal. Additional content from the raw streaming signal is inspected. A probability the raw streaming signal is actually indicative of the real-world event type is computed. A context dimension of a normalized signal corresponding to the raw streaming signal is updated to include the probability.

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.