Systems and methods for monitoring and behavior analysis in real-time using artificial intelligence

A method for monitoring one or more users and workplaces of the one or more users in real-time, comprising:

• receiving, by a client monitoring module associated with a first computing device, login credentials from a first user of the one or more users;
• and
• authenticating, by the client monitoring module, an identity of the first user based on the received login credentials;
• capturing, by at least one video monitoring device communicably connected to the client monitoring module, video frames of the first user and workplace of the first user post authentication;
• processing and analyzing, by the client monitoring module, the captured video frames in real-time to determine if there is at least one object of interest present in the workplace;
• upon detection of the at least one object of interest, determining, by the client monitoring module, at least one action of interest of the at least one object of interest;
• determining, by the client monitoring module, if at least one of the object of interest and action of interest is passing a predefined threshold of the object of interest;
• and
• taking, by the client monitoring module, a preventive action when the at least one of the object of interest and action of interest passes the predefined threshold.

A system for monitoring a user and workplace of the user in real-time, comprising:

• at least one video monitoring device configured to continuously capture video frames of the user and a workplace of the user after authentication of the user;
• a computing device including a client monitoring module configured to:
• receive login credentials from the user;
• authenticate an identity of the user based on the login credentials;
• process and analyse the captured video frames in real-time to detect if there is at least one object of interest present in the workplace of the user;
• determine at least one action of interest of the detected at least one object of interest upon detection of the at least one object of interest;
• determine if at least one of the object of interest and action of interest is passing a predefined threshold of the object of interest;
• store the video frames showing the at least one object of interest and associated action of interest on the computing device when the object of interest passes the predefined threshold;
• analyse at least one of the video frames showing the at least one object of interest and associated action of interest and video streaming in real-time to assess a threat;
• and
• take a preventive action upon detection of the threat.