Methods and systems for monitoring workers in a retail environment

A method of monitoring workers in a retail environment, comprising:

• providing video feeds from a plurality of cameras located in different regions of the retail environment and configured to capture a video feed of a respective region of the retail environment to a machine learning classifier, the machine learning classifier trained on labeled videos, to classify a sequence of images of a worker into a probability certainty of an activity being performed by the worker;
• determining, based on the probability certainties generated by the machine learning classifier over a period of time, an activity schedule of the worker;
• and
• determining labor productivity statistics based on the activity schedule.

A non-transitory computer readable medium storing computer executable instructions that when executed by a processor cause the processor to:

• provide video feeds from a plurality of cameras located in different regions of the retail environment and configured to capture a video feed of a respective region of the retail environment to a machine learning classifier, the machine learning classifier trained on labeled videos, to classify a sequence of images of a worker into a probability certainty of an activity being performed by the worker;
• determine, based on the probability certainties generated by the machine learning classifier over a period of time, an activity schedule of the worker;
• and
• determine labor productivity statistics based on the activity schedule.