System and method for continuous monitoring of an entity

A system for monitoring of an entity in an Internet of Things (IoT) environment, the system comprises:

• a plurality of sensors;
• at least one processor including processing circuitry;
• memory storing instructions,
• wherein the instructions, when executed by the at least one processor individually or collectively, cause the system to:
• monitor, using a first sensor among a plurality of sensors at a first location within the IoT environment, a plurality of behaviors associated with the entity at the first location;
• identify a second location within the IoT environment, wherein the second location is associated with a presence of the entity and the second location is outside a detection range of the first sensor;
• identify, based on pre-stored information associated with the IoT environment, a second sensor from the plurality of sensors for monitoring a subset of the plurality of behaviors associated with the entity at the second location;
• and
• monitor, using the second sensor at the second location, the subset of the plurality of behaviors associated with the entity based on the one or more trained models.

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor individually or collectively, cause a system to:

• monitor, using a first sensor among a plurality of sensors at a first location within an Internet of Things (IoT) environment, a plurality of behaviors associated with an entity at the first location;
• identify a second location within the IoT environment, wherein the second location is associated with a presence of the entity and the second location is outside a detection range of the first sensor;
• identify, based on pre-stored information associated with the IoT environment, a second sensor from the plurality of sensors for monitoring a subset of the plurality of behaviors associated with the entity at the second location;
• and
• monitor, using the second sensor at the second location, the subset of the plurality of behaviors associated with the entity based on one or more trained models.