CPC G06T 15/205 (2013.01) [G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 11/203 (2013.01); G08B 21/0476 (2013.01); G08B 21/0492 (2013.01); H04L 65/1063 (2013.01); H04L 67/02 (2013.01); H04W 4/33 (2018.02); H04W 4/38 (2018.02)] | 20 Claims |
1. An intelligent secure networked architecture configured by at least one processor to execute instructions stored in memory, the architecture comprising:
a data retention system and a machine learning system;
a web services layer providing access to the data retention and the machine learning systems; and
an application server layer that:
provides a user-facing application that accesses the data retention and the machine learning systems through the web services layer; and
performs processing based on user interaction with an interactive graphical user interface provided by the user-facing application, the user-facing application configured to execute instructions for a method for room labeling for activity tracking and detection, the method comprising:
making a 2D sketch of a first room on the interactive graphical user interface, comprising:
prompting a user, via guided interaction, to draw the 2D sketch of the first room;
using machine learning to turn the 2D sketch of the first room represented as a matrix of numbers where each number represents a value of an individual pixel into a 3D model in a form of a matrix of numbers representing dimensions of the first room;
correcting an error within the 3D model;
performing the processing transparently to the user without disruption with an exceeded threshold triggering the processing transparently; and
tracking a location and movement of a dementia patient within the 3D model in real-time for an emergency response.
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