Systems, methods and devices for real-time contactless elevator service operation of an elevator includes a trained neural network (TNN) model. The TNN model is trained using a training processor with augmented datasets as a synthetic training dataset, to later perform elevator identifier recognition. The augmented data sets are generated from synthetic text images, the synthetic text images are augmented with different geometrical parameters and visual parameters to a predetermined number of variations in appearance to a set of training elevator identifiers. A camera captures a user image. A text image portion from the user image is extracted using the TNN model, and detects an elevator identifier in the extracted text image portion using the extracted text image portion and the TNN model. The detected elevator identifier is displayed for user confirmation or user cancellation, and upon user confirmation, generates a control command based the detected elevator identifier associated with an elevator service.
CONTACTLESS ELEVATOR SERVICE FOR AN ELEVATOR BASED ON AUGMENTED DATASETS
KONTAKTLOSER AUFZUGSDIENST FÜR EINEN AUFZUG AUF BASIS VON ERWEITERTEN DATENSÄTZEN
SERVICE D'ASCENSEUR SANS CONTACT POUR UN ASCENSEUR SUR LA BASE D'ENSEMBLES DE DONNÉES AUGMENTÉS
21.06.2023
Patent
Elektronische Ressource
Englisch
IPC: | B66B Aufzüge , ELEVATORS |
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