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: 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: 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: 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: Augmented Reality is having numerous applications in the field of beverage industry. For example, in preparing cocktails. Conventional methods fail to provide an interactive AR based cocktail preparation, enabling the user to prepare cocktail. The present disclosure analyzes an image of a shelf to obtain a plurality of beverage types. A plurality of potential cocktails are generated based on the analysis and displayed to the user using 3D Augmented Reality (AR). A procedure for preparing a cocktail, requested by the user, is displayed near a located glassware kept by the user using 3D AR. A volume of the glassware is computed and a quantity of each beverage to be added is computed based on the volume. Further, a quantity of each beverage added by the user is dynamically measured by using 3D AR techniques and recommendations are provided to the user if there is any deviation.