Contactless elevator service for an elevator based on augmented datasets

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United States of America

PATENT NO 12071323
SERIAL NO

16994779

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC201 BROADWAY CAMBRIDGE MA 02139

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Peng, Kuan-Chuan Charlestown, US 14 41
Sahinoglu, Zafer Costa Mesa, US 84 1786
Sullivan, Alan Middleton, US 45 1543
Yerazunis, William Acton, US 17 130

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