Abstract:
Elevator control units installed all around the world solve the horizontal transportation
problems faced. The elevator installed don’t have the capability to learn the environment
which it’s installed in and understand the specific usage patterns they are put through using
the data collected for trouble shooting but negate to use it to improve the system. Machine
learning techniques which has been available for a few decades now can simply running in
smaller hardware can analyze the data collection and forecast how the next workflow may
occur.
The recent years improved machine learning theories don’t require Familiarity of it to be
implemented. Using machine learning to notice behaviors which occur in the control unit and
trigger certain event to reduce the users stress while using the platform is the main ideology
of this system
