Correlation engine for correlating sensory events utilizing weight vector

A non-transitory, physical storage medium storing computer-readable program code, the program code executable by a hardware processor, the program code when executed by the hardware processor causes the hardware processor to:

• receive one or more sensory events from a sensory event analytics module that receives sensory data about a physical environment from one or more sensors and processes the sensory data from the one or more sensors to detect the one or more sensory events, wherein the one or more sensors comprise at least an Internet Protocol (IP) video camera, and wherein the one or more sensory events are selected from the group consisting of a face detected, a vehicle detected, and a license plate detected;
• receive tip data from one or more external sources;
• generate tip events based on the tip data;
• store the sensory events and the tip events for later retrieval as stored sensory events and stored tip events;
• evaluate one or more historical correlations among the stored sensory events and the stored tip events using a correlation engine based on at least one weight vector;
• and
• generate one or more alerts based on the correlation between the stored sensory events and the stored tip events.

A non-transitory, physical storage medium storing computer-readable program code, the program code executable by a hardware processor, the program code when executed by the hardware processor causes the hardware processor to:

• receive one or more sensory events from a sensory event analytics module that receives sensory data about a physical environment from one or more sensors and processes the sensory data from the one or more sensors to detect the one or more sensory events, wherein the one or more sensors comprise at least an Internet Protocol (IP) video camera, and wherein the one or more sensory events are selected from the group consisting of a face detected, a vehicle detected, and a license plate detected;
• store the sensory events for later retrieval as stored sensory events;
• evaluate one or more historical correlations among the stored sensory events, by evaluating the stored sensory events for the one or more historical correlations across at least one of time and space based on at least one weight vector;
• and
• store data from the one or more sensors utilizing a hierarchical storage manager having access to a hierarchy of two or more data storage devices, wherein the hierarchical storage manager is adapted to manage storage and cascade of data through the hierarchy of two or more data storage devices based at least on the sensory events.