Real time security alert system, method and computer program

A computing system for detecting security incidents and generating alerts, comprising a processor and one or more memory devices communicatively coupled with the processor and storing instructions for, when executed on the processor, causing the computer system to carry out the steps of:

• (a) receiving an input from at least one mmWave sensor device, such input associated with potential security incidents, such input indicating a region of interest where an object of interest is present, such region of interest being associated with a vicinity in which the mmWave sensor device is located, wherein the mmWave sensor device detects a deviation from a baseline reading and indicates the region of interest in which the object of interest is present, in response to detection of such deviation;
• (b) processing the received input using an artificial intelligence (AI) engine and generating predicted labels describing the object of interest and the potential security incidents;
• (c) activating, in response to a content of a generated predicted label, at least one video camera or infrared sensor device, associated with the indicated region of interest, to provide an output from the at least one video camera or infrared sensor device;
• (d) processing the output from the at least one video camera or infrared sensor device using the AI engine to generate predicted labels describing the object of interest and the potential security incidents;
• and
• (e) providing alerts to at least one of a plurality of output devices, where a value of a predicted label from either step (b) or step (d) indicates a detection of a particular object of interest or a particular security incident.

A non-transitory computer readable device having instructions stored thereon that when executed by at least one computing device, causing the at least one computing device to perform operations comprising:

• (a) receiving an input from at least one mmWave sensor device, such input associated with potential security incidents, such input indicating a region of interest where an object of interest is present, such region of interest being associated with a vicinity in which the mmWave sensor device is located, wherein the mmWave sensor device detects a deviation from a baseline reading and indicates the region of interest in which the object of interest is present, in response to detection of such deviation;
• (b) processing the received input using an artificial intelligence (AI) engine and generating predicted labels describing the object of interest and the potential security incidents;
• (c) activating, in response to a content of a generated predicted label, at least one video camera or infrared sensor device, associated with the indicated region of interest, to provide an output from the at least one video camera or infrared sensor device;
• (d) processing the output from the at least one video camera or infrared sensor device using the AI engine to generate predicted labels describing the object of interest and the potential security incidents;
• and
• (c) providing alerts to at least one of a plurality of output devices, where a value of a predicted label from either step (b) or step (d) indicates a detection of a particular object of interest or a particular security incident.