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 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 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 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: 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.

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 signal normalization removing private information. In general, different types of raw signals including source data in different pluralities of data dimensions and including other characteristics are ingested. Per raw signal, a transdimensionality transform is applied to recode and normalize the source data into a normalized signal that includes normalized data in a common reduced plurality of dimensions. A real-world event is detected from the normalized data in the time, location, and context dimensions and an entity is notified of the real-world event. Entities can be notified of detected events. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects integrity of private information.

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 validating and supplementing emergency call information removing private information. A Public Safety Answering Point (PSAP) receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify an emergency call event, including an event location. The emergency call event is sent to the PSAP. Prior to receiving phase II data, and possibly even prior to receiving phase I data, the PSAP receives the event. The PSAP tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the event location. 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 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: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.