Abstract: Efficient 3D geospatial mapping is disclosed. A 3D geospatial map of an area of interest is generated from 2D satellite imagery. The 2D imagery is preprocessed to generate a point cloud of the area of interest. The point cloud is optimized by removing atmospheric clouds and shadows. A 3D geographical information system (GIS) map with multiple levels of details (LOD) is generated.

Abstract: Efficient 3D geospatial mapping is disclosed. A 3D geospatial map of an area of interest is generated from 2D satellite imagery. The 2D imagery is preprocessed to generate a point cloud of the area of interest. The point cloud is optimized by removing atmospheric clouds and shadows. A 3D geographical information system (GIS) map with multiple levels of details (LOD) is generated.

Abstract: A 3D conversational chatbot is disclosed. The conversational chatbot is embodied in an avatar to provide a human-like experience for end-users. The chatbot is an artificial intelligence-based chatbot. The chatbot is configured with the knowledge of the chatbot owner. The knowledge may depend on the owner, such as the products and/or services provided by the owner. For example, the chatbot is customized with AI for the specific needs of its owner. The avatar communicates with the user, such as a customer, to answer questions with life-like speech and facial movement.

Abstract: The present disclosure is directed to a processing system with a virtualized graphics processor for highly parallel processing of graphics tasks as well as other computing tasks. The processing system includes a central processing unit (CPU) configured with a virtualization stack which includes a graphics processing unit (GPU) having hundreds to thousands of GPU cores virtualized into virtual machines (VMs). The GPU cores are loaded with low-level programming routines for graphics tasks. Different GPUs are loaded with different types of programming routines based on their respective dedicated graphics tasks. The cores are segmented into VMs based on the graphics task. By utilizing virtualized GPUs, highly parallel processing of graphics tasks can be achieved.

Abstract: Efficient 3D geospatial mapping is disclosed. A 3D geospatial map of an area of interest is generated from 2D satellite imagery. The 2D imagery is preprocessed to generate a point cloud of the area of interest. The point cloud is optimized by removing atmospheric clouds and shadows. A 3D geographical information system (GIS) map with multiple levels of details (LOD) is generated.

Abstract: Disclosed is a highly parallel processing system for processing graphics applications written in a high-level programming language. The high-performance computing architecture includes a graphics processing unit with numerous processing cores, such as hundreds to thousands of processing cores. The graphics processing unit includes routines written in a low-level programming language. The routines of the graphics processing unit are invoked to process highly computational intensive tasks by the numerous processing cores in parallel.

Abstract: Systems and methods for scanning of a plurality of objects are disclosed. A laser guided scanning system for scanning includes a laser light configured to switch from a first color to a second color to indicate an exact position to a user for taking a number of shots comprising at least one image of an object. The laser guided scanning system further includes one or more cameras to capture the shots based on an indication from the laser light. The laser guided scanning system also includes a processor to: define a laser center co-ordinate for the object from a first shot of the plurality of shots, wherein the processor defines the exact position for taking the subsequent shot without disturbing the laser center co-ordinate for the object; and stitch and process the plurality of shots to generate at least one 3D model comprising a scanned image of the object.

Abstract: A method for three-dimensional (3D) scanning of an object is provided. The method includes taking at least one image shot of the object for scanning; creating a point cloud of the object; providing a feedback on a display screen in real-time so that a user can review at least one of a rendering and scanning of the object in real-time; and rendering the object in real-time by merging and processing the point cloud with at least one image shot for generating a 3D scanned image. When the user wants to make any changes in the rendering of the object then the user provides an input during the rendering and processing of the object for enhancing a quality of the scanned image in real-time. The feedback may be sent to the feedback module in real-time for presenting to the user.

Abstract: A robotic 3D scanning system for scanning of an object comprising: a processor for determining an exact position for taking image shots of the object; a motion-controlling module comprising wheel(s) for moving from a current position to the exact position for taking the image shots; cameras for taking the image shots; a depth sensor for creating a point cloud of the object, the processor merges and processes the point cloud with the at least one image shot for generating a rendered map; and a self-learning module for reviewing a quality of the rendered map of the object in real-time, when the quality of the rendered map is not good then the self-learning module instructs the cameras to take an image shot of the object and the depth sensor to create a point cloud for rendering until a good quality rendered map comprising a 3D scanned image is generated.

Abstract: Systems and methods are provided for scanning of an object. A feedback-based laser-guided scanning system includes a processor for defining a laser center coordinate and a relative width for the object from a first shot; and defining an exact position for taking each of shots after the first shot, the exact position for taking the shots is defined based on the laser center coordinate and the relative width. The system also includes a feedback module configured to provide at least one feedback about the exact position for taking the shots. The system includes cameras for capturing the first shot and the shots one by one based on the feedback; a user moves the system to the exact position. The processor may stich and process the first shot and the shots in real-time to generate a 3D model including a scanned image of the object.

Abstract: A robotic three-dimensional (3D) scanning system for scanning of an object is provided. The robotic 3D scanning system includes: a database configured to store a plurality of pre-stored 3D scanned images; one or more cameras configured to take at least one image shot of the object for scanning; a depth sensor configured to create a point cloud of the object; and a processor configured to generate a 3D scanned image by comparing the at least one image shot with the plurality of pre-stored 3D scanned images in the database, using a matched image for generating a 3D scanned image when a match corresponding to the at least one image shot is available in the database, else merging and processing the point cloud with the at least one image shot for generating a 3D scanned image. The 3D scanned image may be stored in the database.

Abstract: Systems and methods for scanning of a plurality of objects are disclosed. A laser guided scanning system for scanning includes a laser light configured to switch from a first color to a second color to indicate an exact position to a user for taking a number of shots comprising at least one image of an object. The laser guided scanning system further includes one or more cameras to capture the shots based on an indication from the laser light. The laser guided scanning system also includes a processor to: define a laser center co-ordinate for the object from a first shot of the plurality of shots, wherein the processor defines the exact position for taking the subsequent shot without disturbing the laser center co-ordinate for the object; and stitch and process the plurality of shots to generate at least one 3D model comprising a scanned image of the object.

Abstract: A portable 3D scanner including a camera for capturing a plurality of image shots of an object for scanning is provided. The camera being mounted on a stack structure configured to expand and close for adjusting a height and an angle of the camera for taking at least one image shot of the plurality of image shots of the object. The stack structure is mounted over a base comprising wheels for movement of the base to multiple positions. The further comprising a processor for: determining a laser center of the object from a first image shot; determining a radius between the object and the a center of the camera, the base may move around the object based on the radius for covering a 360-Degree view of the object; and processing and stitching the plurality of image shots for generating a 3D scanned image of the object.

Abstract: A robotic laser guided system for scanning of an object includes a processor configured to define a laser center co-ordinate and a relative width for the object from a first shot of the object; and define an exact position for taking each of the one or more shots after the first shot. The exact position for taking the one or more shots is defined based on the laser center co-ordinate and the relative width. The system includes a feedback module for providing at least one feedback about the exact position for taking the shots; a motion-enabling module comprising at least one wheel for enabling a movement to the exact position for taking the shots one by one based on the feedback; cameras for capturing the shots. The processor may stitch and process the shots to generate at least one 3D model comprising a scanned image of the object.