Method and system for determining working condition of a worker performing qualitative evaluation of products

A worker monitoring device comprising:

• a processor;
• and
• a memory, communicatively coupled to the processor, wherein
• the memory stores processor-executable instructions, which on execution, cause the processor to:
• capture video of a predetermined work location, wherein the video is converted into a plurality of image frames;
• detect a head pose and a position of the worker by analysing the plurality of image frames using one or more predetermined image processing techniques;
• classify the head pose into one of a distraction pose and a non-distraction pose using pretrained deep learning models, upon verifying the position of the worker within a specified region of interest in the predetermined work location;
• and
• determine the working condition of the worker based on the classification of the head pose and one or more predetermined operating parameters.

A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor cause a worker monitoring device to perform operations comprising:

• capturing video of a predetermined work location, wherein the video is converted into a plurality of image frames;
• detecting a head pose and a position of the worker by analysing the plurality of image frames using one or more predetermined image processing techniques;
• classifying the head pose into one of a distraction pose and a non-distraction pose using pretrained deep learning models, upon verifying the position of the worker within a specified region of interest in the predetermined work location;
• and
• determining the working condition of the worker based on the classification of the head pose and one or more predetermined operating parameters.