Asset tracking and notification processing

A method, comprising:

• maintaining a plurality of security policies and monitoring rules for assets known to be located in a secure area based on asset types for the assets and a secure area identifier for the secure area;
• obtaining real-time sensor data from sensors and real-time video from cameras situated in the secure area;
• monitoring the real-time sensor data and the real-time video for events detected within the secure area, wherein the monitoring includes applying a machine learning algorithm specifically trained to recognize the asset types based on unique visual features associated with the asset types that are not visible to a human eye, and wherein the monitoring further includes generating real-time alerts for detected events;
• evaluating a given security policy based on given events using certain monitoring rules;
• and
• recording the given events in a log as an audit associated with corresponding assets of the secure area;
• wherein log entries for the log include detailed descriptions of the given events and specific security policies violated;
• wherein the log entries for the log include an amount of usage for a given asset by an individual at the secure area based on a tracking policy and based on the real-time video captured by the cameras;
• wherein the monitoring further includes determining that one or more individuals have left the secure area while an asset remains at the secure area unattended according to another security policy.

A system, comprising:

• a camera to capture video of a secure area;
• a microphone to capture audio within the secure area;
• a server comprising a processor and a non-transitory computer-readable storage medium;
• the non-transitory computer-readable storage medium comprising executable instructions;
• the executable instructions executed on the processor causing the processor to perform operations comprising:
• obtaining a security policy and monitoring rules for an asset known to be located within the secure area by at least identifying the asset in video of the secure area and selecting the security policy from a plurality of available security policies based on an asset type assigned to the asset;
• tracking and monitoring activities within the secure area with respect to the asset by evaluating the security policy and the monitoring rules using the video streamed in real time from the camera and using on the audio streamed in real time from the microphone, wherein the tracking and monitoring are enhanced by a machine learning algorithm specifically trained to recognize and track the asset type based on unique visual features associated with the asset type, wherein monitoring includes generating real time alerts for detected events;
• and
• recording events detected during the tracking and the monitoring in an audit log;
• wherein log entries for the audit log include timestamps and detailed descriptions of the events and specific security policies violated;
• wherein the audit log further includes metadata indicating which specific policies were triggered and which specific actions were taken in response to the events detected;
• wherein the tracking and monitoring further includes determining that the asset has moved relative to a second asset at the secure area based on wireless signals and wireless signal strengths associated with the asset and the second asset and based on the security policy.