Remote Workforce Monitoring Based On Geofencing, Location Tracking, And Machine Learning

Abstract: The present invention relates to a method 700 for remote workforce monitoring is disclosed. The method 700 includes receiving workforce data 118 associated with at least one worker of a plurality of workers 114 at a work site 116. The workforce data 118 associated with the at least one worker may be transmitted to a client device 102. Location data 120 associated with the at least one worker may be identified based on the workforce data 118. An activity to be assigned to the at least one worker at the work site 116 during a particular time instance may be automatically determined based on the workforce data 118 and the location data 120. The activity may be indicative of an industrial activity to be carried out by the at least one worker at the work site 116.

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