Abstract: The present invention extends to methods, systems, and computer program products for imaging object movement. Aspects of the invention utilize sensor input, artificial intelligence, and other algorithms to render reduced complexity visualizations of objects (e.g., graphical dots) moving in a (e.g., three dimensional) space being scanned by sensors. Automated alerts can be generated when object movements meet certain user-set criteria. Spatial and temporal analyses of object movements in the space can also be performed. Aspects of the invention, can be used for safety or security or other things like managing retail sales. Inferences about situations can be derived from monitoring one or more dots that move rapidly or slowly, or idle, or monitoring a dot in a public space or going into a restricted or dangerous area. Movement captured in sensor input (e.g., video) can be synchronized with movement in reduced complexity visualizations and viewed side-by-side.

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 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: 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 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 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 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 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 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 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. 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. 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 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 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 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 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 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.