Abstract: The present invention extends to methods, systems, and computer program products for detecting events from signal data. A signal is ingested. A first score is computed from a selected portion of the signal. 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. An entity is electronically notified about the previously unidentified event.

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 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 presenting event intelligence and trends tailored per geographic area granularity. Event related data can be combined with information from other domains to enable intelligent decision making within those domains. Responsive to user commands, graphical presentation can be tailored to a geographic granularity and can vary between geographic granularities. Event related information and other information for a defined area as well as adjacent areas can be at least partially summarized based on geographic granularity. At least partially summarizing data for currently presented areas as well as adjacent areas reduces resource consumption when moving between presented areas, for example, in a map. The level of summarization can be a tailored to a selected geographic granularity. As such, overall presented graphical data (e.g., total number of icons) can be relatively stable, and possibly tuned to available computing resources.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. 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. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. In one aspect, an event detection infrastructure determines that characteristics of multiple (and possibly private and/or non-private) 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 (possibly private and/or non-private) signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other (possibly private and/or non-private) 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.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point 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 and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.

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: 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 storing and validating the integrity of event related information. To facilitate auditing and traceability, raw signals, normalized signals, detected events, event expirations, and event notifications can be stored in a queryable distributed ledger (e.g., a blockchain). Personal information can be stripped (or otherwise rendered inert, for example, unrecognizable, unreproducible, etc.) prior to storage into the distributed ledger minimizing the possibility of a person being identified. Ledger data can be used to verify actual data as well as for forensics purposes, such as, to audit data, recreate events, etc., in view of an error or inconsistency to investigate, diagnose, remediate, etc.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. 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. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: The present invention extends to methods, systems, and computer program products for detecting and validating planned event information. A plurality of normalized signals is accessed. Planned event data across the plurality of normalized signals is checked for inconsistencies. Any inconsistencies are resolved in an automated fashion, for example, through reference to databases containing additional information. A planned event can be detected/validated from concurring and/or resolved planned event data. A validator can refer to an event history database and/or a planning system to validate a possible planned event as an actual planned event.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from signal data. 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.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point 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 and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location information. In general, signal ingestion modules ingest different types of raw signals and normalize the raw signals to form normalized signals. In one aspect, 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 is formulated. The partially normalized signal is annotated with the location annotation. In another aspect, a location annotation identifying a geo cell is formulated. A partially normalized signal is annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the partially normalized signal to form at fully normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for detecting and validating planned event information. A plurality of normalized signals is accessed. Planned event data across the plurality of normalized signals is checked for inconsistencies. Any inconsistencies are resolved in an automated fashion, for example, through reference to databases containing additional information. A planned event can be detected/validated from concurring and/or resolved planned event data. A validator can refer to an event history database and/or a planning system to validate a possible planned event as an actual planned event.

Abstract: The present invention extends to methods, systems, and computer program products for presenting event intelligence and trends tailored per geographic area granularity. Event related data can be combined with information from other domains to enable intelligent decision making within those domains. Responsive to user commands, graphical presentation can be tailored to a geographic granularity and can vary between geographic granularities. Event related information and other information for a defined area as well as adjacent areas can be at least partially summarized based on geographic granularity. At least partially summarizing data for currently presented areas as well as adjacent areas reduces resource consumption when moving between presented areas, for example, in a map. The level of summarization can be a tailored to a selected geographic granularity. As such, overall presented graphical data (e.g., total number of icons) can be relatively stable, and possibly tuned to available computing resources.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. 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. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location information. In general, signal ingestion modules ingest different types of raw signals and normalize the raw signals to form normalized signals. In one aspect, 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 is formulated. The partially normalized signal is annotated with the location annotation. In another aspect, a location annotation identifying a geo cell is formulated. A partially normalized signal is annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the partially normalized signal to form at fully normalized signal.

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.