Techniques for Enabling On-Device Shape Recognition

A data processing system implements training a first convolutional neural network (CNN) to classify shapes in digital ink inputs, the first CNN being trained to receive ink stroke information as an input and to output an indication whether the ink stroke information represents a hand drawn geometric...

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Bibliographic Details
Main Authors SUN, Yibo, FANG, Biyi
Format Patent
LanguageEnglish
Published 09.05.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:A data processing system implements training a first convolutional neural network (CNN) to classify shapes in digital ink inputs, the first CNN being trained to receive ink stroke information as an input and to output an indication whether the ink stroke information represents a hand drawn geometric shape. The data processing system further implements compressing the first CNN to generate a second CNN capable of being operated on a resource-constrained computing device lacking sufficient computing resources to operate an instance of the first CNN and installing the second CNN on the resource-constrained computing device to process ink stroke information captured by a user interface of the computing device.
Bibliography:Application Number: US202217981208