Abstract: Re-usage of part of object or object is highly important in manufacturing industry as it can drastically reduce cost and time spent on manufacturing. However, lack of proper information about availability of similar parts leads to redesigning of similar part. Existing databases for engineering drawings do not store categorized information due to which performing feature-based search is not possible. Present application provides systems and methods for extracting, digitizing, and using engineering drawing data. The system receives engineering drawing document and extracts text data present in each cell of table provided in document. Once table data is extracted, isometric views and views other than isometric views that are present in document are identified by the system using pretrained machine learning based model. The system further extract view labels and coordinate information from identified views.

Abstract: Good health is one of the paramount essentials for any human being. A method and system for assessing and improving wellness of a person using body gestures have been provided. The system is configured to address fitness, wellness and physical movement related problems for both the abled and the differently abled society. The disclosure provides an intelligent and adaptive system that will comprehend the gestures and postures of the person to assess his capability of undertaking wellness activities. The person's movement capabilities and the environment are learnt by the system to track the gestures for the activities. Based on his gestures, the extent of activity achievement is calculated. The system also has the feature of provisioning dynamic activities to the person based on prior attempts and levels of achievements. Additionally, the system also providing the fitness routine in an AR environment by human-to-object mapping through object detection and augmentation.

Abstract: Embodiments provide a method and system for audio generation from contextual text input is provided. The disclosure gives due importance to the granularity of the content. The system allows the user to specify the properties of the audio to be generated. Here, context is used to identify the importance of a particular sound over the others and thus automatic adjustments of the audio output to give a more realistic feel. The system generates dataset for training audio models. The user can give input query in natural language and the audio requested will be generated for training and developing the necessary classification or other necessary audio models. The system provides a feature of automated fine-tuning of the model parameters to suit the new automatically collected training data. Furthermore, the system provides a pre-trained inbuilt model repository with audio models belonging to the main categories of noises.

Abstract: Currently teleconferencing robotic systems available are not smart and unable to navigate based on specific path and fail to focus on presenter based on overall environment. This disclosure relates to method of dynamic localization of a telepresence robot based on plurality of live markers. A plurality of images is received from an image capturing device connected to the telepresence robot. The plurality of images is processed to identify the plurality of live markers in a path of the telepresence robot. A binary matrix is decoded to identify at least one identifier (ID) associated with the at least one live marker from the plurality of live markers. A plurality of parameters is identified based on the at least one ID associated with the at least one live marker. A further path is dynamically localized to navigate the telepresence robot based on the plurality of parameters and the plurality of live markers.

Abstract: A system and method to create an intelligent cartoon comic strip based on the dynamic content. Herein, the input is conversation-based text or speech files. The system identifies scenes, objects, sequence and flow for generating the comic strip along with gender of characters appearing in the entire conversation. Text is analyzed to create the situational based background image for the scenes that needs to be rendered. Emotion and placement of characters in the scene is decided by the NLP algorithms along with voice emotional and sentimental analysis. Characters are placed in plain canvas and then text dialog is embedded into corresponding text bubbles. Once this image is obtained, it is overlaid on top of the background based on the context. Further, the scenes are joined into a strip of images in a pattern, which depends on the number, and order of scenes, which is decided, based on the input.

Abstract: This disclosure relates generally to a system and method to identify a plurality of noises or their combination to suppress them and enhancing the deteriorated input signal in a dynamic manner. It identifies noises in the audio signal and categorizing them based on the trained database of noises. A combination of deep neural network (DNN) and artificial Intelligence (AI) helps the system for self-learning to understand and capture noises in the environment and retain the model to reduce noises from the next attempt. The system suppresses unwanted noise coming from the external environment with the help of AI based algorithms, by understanding, differentiating, and enhancing human voice in a live environment. The system will help in the reduction of unwanted noises and enhance the experience of business and public meetings, video conferences, musical events, speech broadcasts etc. that could cause distractions, disturbances and create barriers in the conversation.

Abstract: This disclosure relates generally to a system and method for analyzing live activity on the conductive fabrics with intelligent touch. The system comprises a plurality of modules and these modules are in sync with the processor of the system to take action based on a plurality of instructions of the memory. Further, the system comprises fabrics, which are of conductive in nature, are used as a conductive touch pads for inputs to the system. The input data from touch pads are analyzed to determine pattern of actions. These patterns are associated with the IoT devices and the system uses them to trigger at least one action on the at least one IoT device based on a predefined training data set.

Abstract: Electronic sensing systems and methods are disclosed. The electronic sensing system (ESS) receive an olfactory product and one or more smell characteristics of the olfactory product are detected and extracted by identifying a headspace of the olfactory product. A comparison of the extracted smell characteristics with one or more smell characteristics associated with a historic training data stored in a database is performed and a match between the extracted smell characteristics and the one or more smell characteristics associated with the historic training data is determined using machine learning technique(s). Further, the ESS generates a report for the olfactory product comprising at least one of type of the consumable, name of the olfactory product, a status of the olfactory product, an age of the olfactory product, and a decaying index, and classifies the olfactory product into one or more categories based on the report and/or the historic training data.

Abstract: Systems and methods for assessing quality of input text using recurrent neural networks is disclosed. The system obtains input text from user and performs a comparison of each word from input text with words from dictionary (or trained data) to determine a closest recommended word for each word in the input text. The input text is further analyzed to determine context of each word based on at least a portion of input text, and based on determined context, at least one of correct sentences, incorrect sentences, and/or complex sentences are determined from the input text. Each word is converted to a vector based on concept(s) by comparing each word across sentences of input text to generate vectors set, and quality of the input text is assessed based on vectors set, the comparison, determined context and at least one of correct sentences, incorrect sentences, complex sentences, or combinations thereof.

Abstract: Systems and methods for multi-dimensional password generation and authentication is provided. The method includes selecting a virtual reality (VR) environment, rendering interactive objects in the VR environment, tracking a first set of activities including user behavior, user interaction with the objects, and changes made to the objects, the behavior including user position(s), head rotation, time spent on a particular position, GPS coordinates, and the changes include one of position, shape, color, and rotation of the objects. The method generates a multi-dimensional password based on the first set of tracked activities, and authenticates based on comparison of a second set of tracked activities and the first set of activities. When the comparison results in mismatch, the system generates a one-time multi-dimensional image, based on which a third set of activities are tracked and compared with the first set of activities for resetting the password or authenticating the user accordingly.

Abstract: An automated system and method to authenticate one or more users based on capturing one or more images of a set of teeth, obtaining a selected image from the one or more captured images and extracting a portion of the selected image to obtain an extracted image. Each extracted image is converted into a grayscale image and stored in a database along with the username and the user keyword of the one or more users. A unique signature matrix and a pattern vector is generated by processing the grayscale image and stored in the database along with the username. One or more images comprising a set of teeth of at least one user is captured and a unique signature matrix obtained from the same is compared with a set of unique signature matrices previously stored in the database and at least one action is triggered based on the comparison.

Abstract: A system and a method for virtual reality based interactive learning are provided. The method includes simulation of a 3D interactive scene in a VR environment, and rendering the 3D interactive scene including queries on a VR display platform. Responses to the queries are received in the VR environment. A first cumulative assessment score is computed based on the response and attributes of participants. Also, subsequent 3D interactive scenes are dynamically simulated in the VR environment based on the first cumulative assessment score. Subsequent queries associated with context of the subsequent scenes are rendered, and a second cumulative assessment score is computed based on the subsequent responses to the subsequent queries. Furthermore, an overall assessment score is computed based on the cumulative assessment scores. A 3D interactive scene is rendered till the overall assessment score is equal to or greater than a threshold assessment score.

Abstract: The present disclosure discloses a system and method for real time interaction of a real world with a virtual world through an augmentation concept has been provided. The system includes a mobile electronic device compatible with all operating system. The mobile electronic device is having a virtual reality application, on running the application and mounting the mobile electronic device in a virtual reality platform, the display provides two scenes. First scene is a menu scene and the second scene provides stereoscopic image with wide field view in a virtual environment. The system captures a real time image and scans characteristics of IoT based devices. Based on movement of virtual reality platform, the system provides guidance to perform actions on the IoT based devices from the virtual environment.

Abstract: An authentication system and method is provided. The system: (a) provides a keyboard comprising a letters in a m×n format, ‘m’ represents rows, and n represents columns, each row or column includes a sub-set of the letters, (b) provides input receiving identifiers, each input receiving identifier specific to at least one row or column, (c) processes an input on at least one input receiving identifier from the set of input receiving identifiers, (d) identifies a first intended letter from a first sub-set of letters from a corresponding row or column based on the input, (e) repeats steps (c) and (d) until a last intended letter from a last sub-set of letters is identified to obtain intended identified letters, (f) performs a comparison between the intended identified letters with a pre-registered set of letters stored in a memory, and (g) triggers at least one action based on the comparison.