Abstract:
The paper presents the results of the development of an intelligent lift service software system that allows the detection of people and their numbers on each floor, the recognition of persons by assigning a conventional identity, the prediction of the destination floor for each user using facial detection applications and data forecasting based on the history of lift usage statistics.