Wipro Limited

Balaji Govindaraj

Sujatha Jagannath

Mohd Zaid

Raghottam Mannopantar

Ramachandra Budihal

Bharath Kumar Muthupandian

The present disclosure relates to a method and system for recognition of data in one or more images. The method receives and segments the one or more images to identify segmented objects. Further, the method generates an object relationship data for each of the segmented objects and determines a knowledge base representation of the object relationship data based on defined features. Furthermore, a Recurrent Neural Network (RNN) is trained based on the knowledge base representation to determine an appropriate Neural Network (NN) having optimum confidence score. Based on the appropriate NN selected, the objects in the input image is predicted and transmitted to external systems for decision making. Thus, enabling accurate text/object identification for the images having different background variations using the dynamic selection of NN, thereby facilitating more effective decision making.

Method and a system for recognition of data in one or more images

A method and device for detecting objects from scene images by using dynamic knowledge base is disclosed. The method includes segmenting a scene image captured by at least one camera into a plurality of image segments. Each of the plurality of image segments include a plurality of pixels. The method further includes detecting at least one object in each of the plurality of image segments. The method includes finding a plurality of similar images from an online database based on the at least one object. The method further includes identifying using a knowledge base engine, at least one similar object in the plurality of similar images. The method includes updating the knowledge base engine based on the at least one similar object identified from the plurality of similar images. The method further includes training a neural network to detect objects from scene images, based on the updated knowledge base engine.

Method and device for detecting objects from scene images by using dynamic knowledge base

Disclosed herein is method and system for determining relationship among text segments in signboards for navigating autonomous vehicles. Images of signboards are captured analyzed to determine text segments in the images. Further, relationship among the identified text segments is determined based on relationship among plurality of text regions forming the text segments. Finally, information related to relationship of the text segments is provided to a navigation unit in the autonomous vehicle for facilitating navigation of the autonomous vehicle. In an embodiment, the method of present disclosure helps in eliminating prospective errors in the text identification process due to irregular arrangement of text segments in the signboards, by determining relationship among localized text segments in the images of the signboards.

Method and system for determining relationship among text segments in signboards for navigating autonomous vehicles

A method and device are described for controlling a vehicle using a location based dynamic dictionary. The method includes receiving, by a navigation device, an image from an image sensing device associated with the autonomous vehicle, wherein the image sensing device captures the image at a location of the autonomous vehicle. The method includes extracting, by the navigation device, navigation content from the image. The method further includes identifying, by the navigation device, the navigation content from the image by comparing the navigation content from the image with a dynamic dictionary. The dynamic dictionary is created based on the location of the autonomous vehicle. The method further includes controlling, by the navigation device, the autonomous vehicle based on the navigation content.

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Chennai, India

Balaji Govindaraj