Intelligent dynamic workflow generation

Abstract

Machine learning-based methods are disclosed to intelligently generate dynamic workflows, such as dynamic call lists and priority levels of alarm notifications. To generate a dynamic call list based on an alarm notification, the system may identify electronic devices present in an area using emitted passive electromagnetic signals (e.g., RF signals such as Bluetooth, WiFi, and/or cellular). The identification of the electronic devices may be associated with known and/or unknown individuals on the premises. The RF signal data may be processed using at least one ML model to determine the severity of the alarm. Based on the processed data, the system may assign a priority level to the alarm, where the priority level may range from level 0 (no action) to level 4 (dispatch law enforcement immediately). The disclosed methods use trained machine learning models to generate a dynamic call list and identify false alarms with increased accuracy.