Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing one or more images of dental information associated with a patient. Operations include adjusting the data representing the one or more images of dental information into a predefined format, wherein adjusting the data includes adjusting one or more visual parameters associated with the one or more images of dental information. Operations include using a machine learning system to determine a confidence score for one or more portions of the one or more images of dental information, and producing a representation of the determined confidence scores to identify one or more detected features present in the one or more images of dental information.

Abstract: The present disclosure provides a ferrule support assembly for a stripper-crimper machine and other similar devices. The ferrule support assembly can include an axle configured to be received within a drum of a ferrule reel, a first support plate configured to be coupled to the stripper-crimper machine, and a second support plate opposite the first support plate. The first support plate and the second support plate can include an axle notch configured to engage the axle extending between the first and second support plates.

Abstract: A radar sensor having a frame, a housing arranged at the frame, a transmission and reception unit for high frequency signals arranged within the housing, wherein a radiation direction of the high frequency signals irradiated by the transmission and reception unit is rotatable about an axis of rotation. The radiation direction of the high frequency signals irradiated by the transmission and reception unit is substantially orthogonally oriented toward the axis of rotation, and the housing is supported at the frame rotatably about a pivot axis.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing one or more images of dental information associated with a patient. Operations include adjusting the data representing the one or more images of dental information into a predefined format, wherein adjusting the data includes adjusting one or more visual parameters associated with the one or more images of dental information. Operations include using a machine learning system to determine a confidence score for one or more portions of the one or more images of dental information, and producing a representation of the determined confidence scores to identify one or more detected features present in the one or more images of dental information.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing one or more images of dental information associated with a patient. Operations include adjusting the data representing the one or more images of dental information into a predefined format, wherein adjusting the data includes adjusting one or more visual parameters associated with the one or more images of dental information. Operations include using a machine learning system to determine a confidence score for one or more portions of the one or more images of dental information, and producing a representation of the determined confidence scores to identify one or more detected features present in the one or more images of dental information.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing one or more images of dental information associated with a patient. Operations include adjusting the data representing the one or more images of dental information into a predefined format, wherein adjusting the data includes adjusting one or more visual parameters associated with the one or more images of dental information. Operations include using a machine learning system to determine a confidence score for one or more portions of the one or more images of dental information, and producing a representation of the determined confidence scores to identify one or more detected features present in the one or more images of dental information.

Abstract: A radar sensor having a frame, a housing arranged at the frame, a transmission and reception unit for high frequency signals arranged within the housing, wherein a radiation direction of the high frequency signals irradiated by the transmission and reception unit is rotatable about an axis of rotation. The radiation direction of the high frequency signals irradiated by the transmission and reception unit is substantially orthogonally oriented toward the axis of rotation, and the housing is supported at the frame rotatably about a pivot axis.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing one or more images of dental information associated with a patient. Operations include adjusting the data representing the one or more images of dental information into a predefined format, wherein adjusting the data includes adjusting one or more visual parameters associated with the one or more images of dental information. Operations include using a machine learning system to determine a confidence score for one or more portions of the one or more images of dental information, and producing a representation of the determined confidence scores to identify one or more detected features present in the one or more images of dental information.