Machine vision systems and methods for room state determination

A method for room state determination using machine vision, the method comprising:

• receiving, from one or more video recording devices capturing video streams including a plurality of time-stamped video frames relating to a corresponding room;
• pre-processing the one or more video streams using a first inference model to conduct deep learning inference to process the time-stamped video frames to predict a set of first room state predictions, each for a particular time duration or point in time based on the frames at the time duration or the particular point in time;
• processing the intermediate room state using a second smoothing model to generate a second set of room state predictions based on the first set of room state predictions;
• processing the second set of intermediate room state predictions using a third flicker reduction model to generate a third set of room state predictions;
• and
• providing the third set of room state predictions to a downstream computing interface or system for user interface generation or for input into a scheduling computer process.

A non-transitory computer readable medium, which when executed by a processor, cause the processor to perform steps of a method for room state determination using machine vision, the method comprising:

• receiving, from one or more video recording devices capturing video streams including a plurality of time-stamped video frames relating to a corresponding room;
• pre-processing the one or more video streams using a first inference model to conduct deep learning inference to process the time-stamped video frames to predict a set of first room state predictions, each for a particular time duration or point in time based on the frames at the time duration or the particular point in time;
• processing the intermediate room state using a second smoothing model to generate a second set of room state predictions based on the first set of room state predictions;
• processing the second set of intermediate room state predictions using a third flicker reduction model to generate a third set of room state predictions;
• and
• providing the third set of room state predictions to a downstream computing interface or system for user interface generation or for input into a scheduling computer process.