Abstract: A system including a server arrangement and a programming interface in communication with external applications are provided.

Abstract: Disclosed is a system (100) and method for tracking an inventory item (102, 202, 304) within a facility. The system comprises a unique identification tag (208, 306) for the inventory item and a plurality of cameras (104, 106, 204, 206) positioned within the facility. The unique identification tag is visible in images (302, 308, 312) captured by at least one of the plurality of cameras. An image processor (108) configured to receive at least one image of the inventory item from at least one of the plurality of cameras. The image processor identifies one or more parameters such as a type, a class, a state associated with the inventory item from the at least one image. The image processor further identifies the unique identification tag from the at least one image and identify the inventory item associated with it. The image processor employs at least one of: computer vision, neural networks, image processing algorithms for processing of the image.

Abstract: Disclosed is a system for monitoring a subject. The system comprises image capturing arrangement comprising image sensor configured to capture one or more images of scan area; radar arrangement, operatively coupled to image capturing arrangement, wherein radar arrangement is configured to track subject in a region of scan area by using a cluster of radar reflections to detect macro-movement of the subject, define bounding box corresponding to the macro-movement, define aspect ratio of bounding box, and detect micro-movement of subject, when change in aspect ratio is observed; and processing arrangement configured to receive image data from image capturing arrangement and radar data from radar arrangement, analyse the image data and the radar data to determine the change in the aspect ratio, and trigger an emergency protocol when change in the aspect ratio is observed, or a value corresponding to the micro-movement differs from predefined range.

Abstract: Disclosed is a method for augmenting a video footage of a surveillance space with a target three-dimensional (3D) object from one or more perspectives for training an artificial intelligence (AI) model, comprising: acquiring the video footage from a target camera in the surveillance space; determining a ground plane and screen coordinates of corners of the ground plane; normalizing screen coordinates from the ground plane and determining a relative position of each object in the ground plane; preparing a model of the target 3D object to be used for training the AI model; iteratively generating a random position and a random rotation for the target 3D object in the ground plane for positioning the target 3D object in front of or behind a distractor object from among the objects in the ground plane; rendering the model of the target 3D object on the ground plane and composing the rendered 3D object and the ground plane with the acquired video footage to generate a composited image; and calculating coordinates o

Abstract: Disclosed is a system (100) for processing images related to a target region. The system comprises a memory (102) and a computing arrangement (104) in communication with the memory. The computing arrangement is configured to define one or more target buffers (106) in the memory of a size corresponding to one or more image parameters to be used as an input to a model implemented for the processing the images. The computing arrangement is further configured to receive at least one image (300, 400A, 400B, 400C, 400D) of the target region from a wide-angle camera (108, 202), define two or more virtual camera views (302, 304, 306, 412, 416, 418, 420, 422) and process the at least one image to generate two or more virtual images (308, 310, 312, 400E) based on the defined one or more target buffers and the defined two or more virtual camera views. The computing arrangement is further configured to implement the said model to analyse the generated two or more virtual images.

Abstract: Disclosed is a system for monitoring an activity performed by the subject. The system comprises a non-imaging sensor configured to detect the subject in a scan area, wherein the subject is detected by reflected waveform thereby. The system also comprises a processing arrangement communicably coupled to the non-imaging sensor, wherein the processing arrangement is configured to receive the reflected waveform from the non-imaging sensor, employ a first neural network to estimate the skeletal pose of the subject, feed a temporal succession of a plurality of skeletal poses of the subject to a second neural network, and determine the activity performed by the subject based on the temporal succession of the plurality of skeletal poses. Disclosed also is a method for monitoring an activity performed by the subject.

Abstract: A system includes a first database and a server arrangement that obtains data from a plurality of sensors arranged in a surveillance area. The server arrangement transforms source coordinates of an image plane from a first reference system to corresponding coordinates in a map plane in a second reference system for calculating a new geospatial location of the object to be tracked. The server arrangement determines a change in a geospatial location and a change in a state of an object based on geospatial location of object to be tracked in the surveillance area. The change in the state of the object is further determined based on a history of geospatial locations visited by the object. The server arrangement determines a motion and an action pattern of the object based on the change in the geospatial location and the change in the state of the object.

Abstract: A system that tracks and visualizes objects in a surveillance area, when the system is in operation. The system includes a plurality of sensors and a server arrangement. The server arrangement includes a first module and a second module. The first module is configured to extract features to identify objects in the surveillance area based on acquired data from sensors, determine object type for identified objects based on extracted features, and generate a unique object identity based on the object type. The second module is configured to acquire the unique object identity for an object to be tracked, calculate a geospatial location of the object based on a position of sensors associated, determine a change in the geospatial location of the object to be tracked, and generate a virtual representation of the object indicative of movement of object to be tracked.

Abstract: A system including a server arrangement and a programming interface in communication with external applications are provided.

Abstract: A system including a server arrangement and a programming interface in communication with external applications are provided. The server arrangement (i) acquires data from sensors, (ii) analyzes the data to determine at least one object of interest in a surveillance area, (iii) determines type of the at least one object of interest, one or more attributes associated with the at least one object of interest and a geospatial location of the at least one object of interest, (iv) estimates a state of the at least one object of interest based on the type of the at least one object, one or more attributes and the geospatial location; (v) compares the estimated state with a defined set of trigger conditions associated with surveillance area, and (vi) determines at least one action to be taken in the surveillance area based on the estimated state of the at least one object of interest matching with at least one of the trigger conditions.

Abstract: A system and method for generating data visualization. The system includes a database arrangement configured to store data retrieved from one or more data sources, and a server arrangement including a user profile module configured to define one or more user profiles, and associate one or more data sources and data-object thereto; a receiving module configured to receive data visualization request from the user profile; and a data processing module configured to determine connections between the one or more data sources and data-object based on the user profile; select one or more data sources from the one or more data sources based on the data visualization request; retrieve data associated with the one or more selected data sources based on the data visualization request; and generate at least one data-object based on the retrieved data from the one or more selected data sources and defined connections therewith.

Abstract: Disclosed is system and method for generating data visualization. The system comprises a database arrangement configured to store data retrieved from one or more data sources, and a server arrangement comprising a user profile module configured to define one or more user profiles, and associate one or more data sources and data-object thereto; a receiving module configured to receive data visualization request from the user profile; and a data processing module configured to determine connections between the one or more data sources and data-object based on the user profile; select one or more data sources from the one or more data sources based on the data visualization request; retrieve data associated with the one or more selected data sources based on the data visualization request; and generate at least one data-object based on the retrieved data from the one or more selected data sources and defined connections therewith.

Abstract: A system including a server arrangement and a programming interface in communication with external applications are provided. The server arrangement (i) acquires data from sensors, (ii) analyzes the data to determine at least one object of interest in a surveillance area, (iii) determines type of the at least one object of interest, one or more attributes associated with the at least one object of interest and a geospatial location of the at least one object of interest, (iv) estimates a state of the at least one object of interest based on the type of the at least one object, one or more attributes and the geospatial location; (v) compares the estimated state with a defined set of trigger conditions associated with surveillance area, and (vi) determines at least one action to be taken in the surveillance area based on the estimated state of the at least one object of interest matching with at least one of the trigger conditions.

Abstract: A system for fitness training in a virtual environment. The system includes a cardiovascular training equipment, a head mounted device for presenting a video content associated with the virtual environment, and at least one computing device communicably coupled to the cardiovascular training equipment and the head mounted device. The at least one computing device is operable to provide the video content to the head mounted device, and modify at least one setting of the cardiovascular training equipment based on a metadata associated with the video content.

Abstract: A system for providing a virtual environment on an at least one computing device. The system includes, a server arrangement to generate at least one first image associated with the virtual environment on at least one first virtual pattern, render visual orientations associated with the at least one first image on a render target, and generate at least one second image; and at least one computing device, communicably coupled with the server arrangement, to receive the at least one second image from the server arrangement, render each of the render targets of the at least one second image on an at least one second virtual pattern, determine the movement of head of the at least one user, and provide the virtual environment on a display arrangement based on a movement of head of the at least one user.

Abstract: A system that tracks and visualizes objects in a surveillance area, when the system is in operation. The system includes a plurality of sensors and a server arrangement. The server arrangement includes a first module and a second module. The first module is configured to extract features to identify objects in the surveillance area based on acquired data from sensors, determine object type for identified objects based on extracted features, and generate a unique object identity based on the object type. The second module is configured to acquire the unique object identity for an object to be tracked, calculate a geospatial location of the object based on a position of sensors associated, determine a change in the geospatial location of the object to be tracked, and generate a virtual representation of the object indicative of movement of object to be tracked.

Abstract: Disclosed is system and method for generating data visualization. The system comprises a database arrangement configured to store data retrieved from one or more data sources, and a server arrangement comprising a user profile module configured to define one or more user profiles, and associate one or more data sources and data-object thereto; a receiving module configured to receive data visualization request from the user profile; and a data processing module configured to determine connections between the one or more data sources and data-object based on the user profile; select one or more data sources from the one or more data sources based on the data visualization request; retrieve data associated with the one or more selected data sources based on the data visualization request; and generate at least one data-object based on the retrieved data from the one or more selected data sources and defined connections therewith.

Abstract: A method of determining a region of interest of a user in a virtual environment. The method includes providing at least one first image associated with the virtual environment on a virtual pattern and mapping an RGB texture including an alpha channel on the virtual pattern, wherein the RGB texture comprises a plurality of color channels. Furthermore, the method includes modifying color values of one or more pixels of a first color channel along a change in viewing direction of the user, and of one or more pixels of a second color channel based on a gaze duration along the change in viewing direction of the user. Moreover, the method includes generating an at least one second image based on the modified alpha value of the one or more pixels of the second color channel for determining the region of interest of the user in the virtual environment.

Abstract: A virtual reality communication system includes a first computing device and a second computing device. The first computing device includes a first camera configured to capture at least one image, and a connector. The second computing device includes a second camera configured to capture the at least one image, a docking connector configured to receive the connector of the first computing device, an image processor configured to combine the at least one image of the first camera with the at least one image of the second camera by correcting color to generate a three dimensional image, and a synchronizing module configured to synchronize the at least one image captured by the first camera with the at least one image captured by the second camera and adjust an intraocular distance between the first camera and the second camera.

Abstract: A system for providing a virtual environment on an at least one computing device. The system includes, a server arrangement to generate at least one first image associated with the virtual environment on at least one first virtual pattern, render visual orientations associated with the at least one first image on a render target, and generate at least one second image; and at least one computing device, communicably coupled with the server arrangement, to receive the at least one second image from the server arrangement, render each of the render targets of the at least one second image on an at least one second virtual pattern, determine the movement of head of the at least one user, and provide the virtual environment on a display arrangement based on a movement of head of the at least one user.