Whatfix Private Limited

Aashish Jain

Maruthi Priya Kanyaka Vara Kumar Namburu

Animesh Agarwal

Pushkar Garg

Nipun Phutela

Vibhu Rawat

Subhadeep Guin

Abhilash Jain

Provided herein are systems and methods for performing optimized template matching within a digital adoption platform used in conjunction with an underlying computer application. In some embodiments, a method includes capturing an image and template from a user interface of the underlying application, converting the image and template to grayscale, detecting a background type of the image and template and inverting one of the background types if there is a mismatch, applying a Gaussian filter to the image and template, dividing the scale of the image by the scale of the template to determine a starting scale, reducing a resolution of at least the image, applying a template matching algorithm to the image and template using the starting scale to locate the template in the image, and remapping the coordinates of the template to reflect its original location on the image.

Computer vision template matching system and method

A system and method to create at least one step for providing digital guidance to an underlying application is disclosed. The system comprising one or more user devices in communication with a server, the user device comprising a processor configured to: scan the underlying application for identifying one or more elements; select at least one target element; determine neighbouring element in proximity of the target element; analyse elements to determine attributes including unique attributes; classify as a pillar element depending upon presence of unique attributes; determine an intersection element between the target element and the pillar element; and determine path of the intersection element, store path of the intersection element, the path of the intersection element enables identification of the intersection element and based on the intersection element, the pillar element and the target element associated with the intersection element can be identified.

System and method for creating at least one step for providing digital guidance to an underlying application

Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes setting a rule or rules, in a computing device, in advance of digital guidance content creation, for detecting, upon later playback of the content, page elements of the underlying computer application that are associated with the content. The exemplary method further includes recording, in the computing device, steps of the digital guidance content as the steps are created by a content author, and automatically applying, in the computing device, the previously set rule or rules for detecting page elements, and thereby assigning strong attributes to the page elements. The method further includes saving, in the computing device, the content steps along with the strong attributes of the page elements associated with the content steps.

Element detection

Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes recording, in a computing device, steps of digital guidance content as the steps are created by a content author. The exemplary method also includes automatically segmenting, in the computing device, the digital guidance content as it is being created such that the digital guidance content is only associated with segments of the underlying computer application where the content is relevant. The exemplary method further includes making the digital guidance content available for playback to an end user on a computing device only when the end user is in a segment of the underlying computer application that is relevant to the digital guidance content.

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Bengalaru, India

Aashish Jain