Abstract: A wagering game system includes a gaming table, a camera, and a display device. A frame of image data of a playing surface is captured while a wagering game is presented at the gaming table. A game state is detected from multiple possible game states, and a graphical template associated with the detected game state is selected, the template specifying labeled areas of interest on the playing surface. The template is superimposed over the frame so that each labeled area overlays a corresponding portion of the playing surface. Portions of the frame defined by the labeled areas are cropped, based on an image-resolution requirement for automated image analysis, to generate separate images corresponding to the labeled areas of interest. The display device presents a human-readable representation including the separate images with visual identifiers that visually represent regions of the playing surface captured by the camera for the automated image analysis.

Abstract: A gaming system that receives a frame of image data captured by a camera at a gaming table, detects, based on analysis of the image, a game state, and generates, via a graphical template associated with the game state, a set of digital images from cropped from portions of the frame of image data specified via the template. The system determines whether the set of images meets a maximum resolution target input requirement of a machine learning model. If the input requirement is met, the set of images are provided to the machine learning model as a unit for concurrent analysis. If the set of images does not meet the input requirement, the gaming system modifies, by an incremental amount, an image property of a subset from the set of images (e.g., reduces resolution of largest image in the set) until the set of images meets the input requirement.

Abstract: Battery-powered smart electronic Air Filter Module (AFM) adapted for retention in an orifice of a face mask and adapted to be positioned in front of the user's mouth for prevention of transmission to or from the wearer of harmful particulates, bacteria, and viruses with less impediment of the wearer's breathing or speaking, comprising: an electrostatic field (EF) generator, an electromagnetic field (EMF) generator under intelligent breath sensor control adjacent the EF generator and adapted for providing directional polarization to particles ionized by the EF generator, anterior and posterior porous frame portions retaining the EF generator, and an electronic microcontroller system operatively connected with, and adapted to selectively energize, the EF generator and the EMF generator.

Abstract: In one example, optimization of feature detection in a gaming environment is achieved via identification of a current operational mode of a wagering game. Based on this mode, target image capture parameters for an image sensor are determined, and operational settings of the image sensor are automatically adjusted. Image data of the gaming surface is captured using the adjusted settings. The captured image data is analyzed using a neural network model to detect features relevant to the operational mode. Detected features are then utilized to update game state or calibrate gaming content presentation.

Abstract: A system and method provides biometric authentication using proximity and secure information on a Personal Digital Key (PDK). The PDK is associated with and carried by a user. The PDK wirelessly communicates with a receiver/decoder circuit (RDC) that can be coupled to a variety of electronic devices. The PDK stores a biometric profile of a legitimate user in a secured memory. The PDK acquires biometric input from a user using a biometric reader of the PDK responsive to receiving a request for a biometric authentication of the legitimate user. The PDK compares the biometric input to the biometric profile to determine whether the biometric input matches the biometric profile. A secure wireless communication link is established between the PDK and a reader device responsive to a determination that the biometric input matches the biometric profile and the PDK device is within a predefined proximity of the reader device.

Abstract: A method and apparatus to automatically modify one or more presentation attributes of a gaming system. For instance, the gaming system detects, via analysis of an image data by a neural network model, an appearance of one or more features of a gaming surface. The gaming system further automatically modifies, via the neural network model in response to detecting the appearance of the one or more features, a presentation attribute associated with presentation of gaming content via a designated area of the gaming surface. The gaming system further projects, via a projection system based on the modified presentation attribute, the gaming content onto the designated area of the gaming surface.

Abstract: A system includes a cannula that is configured to be inserted into a portion of a body and adjusted in length based on a depth measurement associated with the portion of the body; and an obturator having a handle and a shaft that can be moved relative to the handle to adjust a length of the obturator and a lock for locking the shaft in a plurality of positions relative to the handle, wherein the obturator is configured for receiving the cannula on the shaft and inserting the cannula into the portion of the body.

Abstract: A telescoping access cannula comprising: an outer tube; an inner tube carried by the outer tube, the inner tube being coaxial with the outer tube and longitudinally movable relative to the outer tube; and a rotatable member carried by the outer tube and connected to the inner tube, wherein rotation of the rotatable member causes longitudinal movement of the inner tube relative to the outer tube.

Abstract: A system that analyzes a captured image of a gaming area on a gaming surface, identifies an object depicted in the image, determines, based on the identifying, that the object would interfere with projection of moving wagering game content within a portion of the gaming area, and generates a virtual mask that conforms to a shape of at least a portion of the object (e.g., to a shape of a boundary of the object). The system further maps the virtual mask to locations in a virtual scene that correspond to pixels in the image that correspond to the at least a portion of the object. The system renders the moving wagering game content in the virtual scene off of the mask. The system instructs a projector to prevent presentation of the rendered moving wagering game content in the portion of the gaming area while the object interferes with the projection.

Abstract: A system that analyzes an image of a gaming area, identifies an object depicted in the image and generates a virtual mask that conforms to a shape of the object. The system further maps the virtual mask to locations in a virtual scene that correspond to pixels in the image that correspond to the outer shape of the object. The system renders content in the virtual scene relative to a boundary of the mask based on the relevance of the physical object to the game state. The system instructs a projector to project the rendered image in relation to the physical object according to the content rendered relative to the mask.

Abstract: A gaming system that receives a frame of image data captured by a camera at a gaming table, detects, based on analysis of the image, a game state, and generates, via a graphical template associated with the game state, a set of digital images from cropped from portions of the frame of image data specified via the template. The system determines whether the set of images meets a maximum resolution target input requirement of a machine learning model. If the input requirement is met, the set of images are provided to the machine learning model as a unit for concurrent analysis. If the set of images does not meet the input requirement, the gaming system modifies, by an incremental amount, an image property of a subset from the set of images (e.g., reduces resolution of largest image in the set) until the set of images meets the input requirement.

Abstract: A gaming system that receives a frame of image data captured by a camera at a gaming table, generates a set of images from portions of the frame of image data, and determines whether the set of images meets an input requirement of a neural network model. If the set of images does not meet the input requirement, the gaming system modifies, by an incremental amount, an image property of a subset from the set of images until the set of images meets the input requirement. When the set of images meets the input requirement, the gaming system transmits the set of images as a unit (e.g., as a composite of the set of images) to the neural network model for concurrent analysis.

Abstract: A gaming terminal includes an input device, an image sensor, and logic circuitry. The logic circuitry detects user input received at the input device and that is associated with a restricted action, receives, via the image sensor, image data that corresponds to the user input, applies at least one neural network model to the image data to classify pixels of the image data as representing human characteristics including at least one face and at least one pose model, compares, based at least partially on pixel coordinates of (i) the human characteristics within the received image data and (ii) a user input zone within the image data, each of the pose models to the user input zone and the faces, and permits, in response to one of the pose models matching (i) a face of the at least one face and (ii) the user input zone, the restricted action.

Abstract: A telescoping access cannula comprising: an outer tube; an inner tube carried by the outer tube, the inner tube being coaxial with the outer tube and longitudinally movable relative to the outer tube; and a rotatable member carried by the outer tube and connected to the inner tube, wherein rotation of the rotatable member causes longitudinal movement of the inner tube relative to the outer tube.

Abstract: A method and apparatus to automatically modify one or more presentation attributes of a gaming system. For instance, the gaming system detects, via analysis of an image data by a neural network model, an appearance of one or more features of a gaming surface. The gaming system further automatically modifies, via the neural network model in response to detecting the appearance of the one or more features, a presentation attribute associated with presentation of gaming content via a designated area of the gaming surface. The gaming system further projects, via a projection system based on the modified presentation attribute, the gaming content onto the designated area of the gaming surface.

Abstract: A method and apparatus to automatically calibrate one or more attributes of a gaming system. For instance, the gaming system detects, via electronic analysis of an image by a neural network model, one or more objects (e.g., one or more coded, fiducial markers) that are planar with a surface of a gaming table. The gaming system further determines, via an isomorphic transformation associated with the one or more objects, a difference (e.g., in position and orientation) between the one or more objects and one or more physical features of the gaming table visible in the image. The gaming system automatically calibrates the gaming system based on the difference.

Abstract: A telescoping access cannula comprising: an outer tube; an inner tube carried by the outer tube, the inner tube being coaxial with the outer tube and longitudinally movable relative to the outer tube; and a rotatable member carried by the outer tube and connected to the inner tube, wherein rotation of the rotatable member causes longitudinal movement of the inner tube relative to the outer tube.

Abstract: A gaming terminal includes an input device, an image sensor, and logic circuitry. The logic circuitry detects user input received at the input device and that is associated with a restricted action, receives, via the image sensor, image data that corresponds to the user input, applies at least one neural network model to the image data to classify pixels of the image data as representing human characteristics including at least one face and at least one pose model, compares, based at least partially on pixel coordinates of (i) the human characteristics within the received image data and (ii) a user input zone within the image data, each of the pose models to the user input zone and the faces, and permits, in response to one of the pose models matching (i) a face of the at least one face and (ii) the user input zone, the restricted action.

Abstract: Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodiments, rule sets may be used to condition and transform an input dataset into a format that is suitable for use with one or more artificial intelligence processes configured to extract parameters and classification information from the input dataset. The parameters and classes derived by the artificial intelligence processes may then be used to automatically generate various testing tools (e.g., scripts, test conditions, etc.) that may be executed against a test dataset, such as program code or other types of data.

Abstract: A gaming terminal includes an input device, an image sensor, and logic circuitry. The logic circuitry detects user input received at the input device and that is associated with a restricted action, receives, via the image sensor, image data that corresponds to the user input, applies at least one neural network model to the image data to classify pixels of the image data as representing human characteristics including at least one face and at least one pose model, compares, based at least partially on pixel coordinates of (i) the human characteristics within the received image data and (ii) a user input zone within the image data, each of the pose models to the user input zone and the faces, and permits, in response to one of the pose models matching (i) a face of the at least one face and (ii) the user input zone, the restricted action.