Xerox Corporation

Nischal M Piratla

Kovendhan Ponnavaikko

Chithralekha Balamurugan

Rinku Gajera

Lalit Keshav Mestha

Raja Bala

Aaron Michael Burry

Michael Robert Campanelli

Abhishek Tripathi

Meera Sampath

Raja Srinivasan

Sivasubramanian Kandaswamy

Anuradha Rukmangathan

Mark Pettit

Girish Prabhu

Atul K Saraf

The present disclosure discloses a method for automatic processing of forms using augmented reality. In an embodiment, a filled-out application form including one or more fields is scanned in augmented reality mode and its one or more images are captured. The captured images are used to identify the form type by comparing them with an original application form and to generate an electronic version of the form. Subsequently, filled-out content in the images is extracted and compared with a retrieved configuration file, which has a type same as the identified type of the filled-out application form. Based on this comparison, one or more messages are generated that are superimposed on the electronic version of the form in the augmented reality mode and that both are displayed.

Systems and methods for automatic processing of forms using augmented reality

The present disclosure describes a method and system for processing forms filled by a user. The system includes a scanner configured to scan a first form in a first language that includes one or more fillable fields filled with content; a content extractor configured to extract content from the scanned filled fields; a content processor configured to process the extracted content; and an embedding module configured to embed the processed content into a second form including one or more fields corresponding to the fillable fields of the first form.

Methods and systems for processing filled forms

A method, a system, and a computer program product for evaluating a handwritten document comprising one or more text fields are provided. The method includes identifying a character in each of the one or more text fields in a digital image by applying a character recognition technique. The character type of the identified character is then compared with a predefined character type corresponding to the associated text field of the one or more text fields. The character type in each of the one or more text fields is then validated based on the comparison. Thereafter the identified character for each of the one or more text fields is recommended while digitalization of the handwritten document.

Methods and systems for evaluating handwritten documents

A method for processing application forms comprising extracting content from filled first forms of consumers, each of the first forms comprising one or more fields, arranging the extracted content of one or more fields of the plurality of fields of the plurality of filled first forms in a first matrix; encoding the content of each of the rows of the first matrix to define a second matrix; and disposing the encoded content of the second matrix in multiple empty second forms such that content of one column is disposed on only one of the empty second forms, each of the second forms includes the same type and number of fields as that of one of the filled first forms, further wherein the number of the filled second forms is based on the number of the one or more fields in the filled first forms.

Methods and systems for processing application forms

An embodiment discloses a method utilizing a device for handling multiple documents during scanning. The method includes receiving multiple documents on or within a sleeve to enable scanning of at least one of a first side and a second side of each of the documents in a single scanning operation. The method includes identifying one or more dimensional characteristics of the sleeve and each document arranged on or within the sleeve. The method further includes scanning at least one of the first side and the second side of each document. Moreover, the method includes tagging the scanned documents based on at least one of content characteristics and the dimensional characteristics of the documents.

Methods and systems for handling multiple documents while scanning

A method and a system for detecting anomalies within a voluminous private data are provided. The voluminous private data, including sensitive information corresponding to one or more objects within the voluminous private data is received. The sensitive information within the voluminous private data is identified, and identified sensitive information is modified to generate a modified voluminous private data. The sensitive information is marked in the modified voluminous private data to generate a marked voluminous private data. The anomaly within the marked voluminous private data is detected.

Methods and systems for detecting anomalies within voluminous private data

What is disclosed is a web-based system which comprises, in part, video analysis modules for performing different types of analysis services on a video, and a server in network communication with a user's computing device. A user selects one or more menu options displayed on a webpage. Each of the menu options is associated with a respective video analysis available to the user. The user makes their election and, within the same session, uploads to the server a video desired to be analyzed with respect to each of the video analysis services selected by the user. Once the server has obtained the user's selection(s) and has received the uploaded video, the server communicates the video to each video analysis module associated with each of the respective analysis services. Upon each completion of the video analysis, the results are communicated back to the user. Various embodiments are disclosed.

Growing community of inventors

Hyderabad Telangana, India

Nischal M Piratla