Abstract: Hierarchical systems and methods for automatic container type recognition from images are disclosed herein. An example embodiment includes a system for image analysis, comprising: a container recognition component; a character recognition component; and a 3D point cloud component; wherein the container recognition component is configured to receive an image and produce one of three outputs based on analysis of the image such that the output corresponds to either a container is identified, further analysis is performed by the character recognition component, or further analysis is performed by the 3D point cloud component.

Abstract: In some examples, systems and methods for multiple-sensor object tracking are provided. For example, a method includes: receiving a first sensor feed and a second sensor feed from a plurality of sensors respectively. The first sensor feed includes a set of first images. The second sensor feed includes a set of second images. In some examples, the method further includes generating an image transformation based on at least one first image in the set of first images and at least one second image in the set of second images, applying the image transformation to the set of second images, aggregating the set of first images and the set of transformed second images to generate a set of aggregated images, and applying a multiple object tracking model to the set of aggregated images to identify a plurality of objects.

Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame in a sequence of image frames, performing object tracking using an object tracker to identify a first object of interest and a second object of interest in the first image frame based at least in part on one or more first templates associated with the first object of interest, one or more second templates associated with the second object of interest, and a spatial relationship between the first object of interest and the second object of interest, outputting a first indicator associated with a first image portion corresponding to the identified first object of interest, and outputting a second indicator associated with a second image portion corresponding to the identified second object of interest.

Abstract: In some examples, systems and methods for object tracking are provided. For example, a method includes: receiving an image frame in a sequence of image frames; identifying an object of interest in the image frame using a single-object tracker (SOT) based upon one or more templates associated with the object of interest in a template repository; generating a SOT output based on the identified object of interest; and detecting one or more objects in the image frame using a multiple-object tracker (MOT). In some examples, the MOT including a machine-learning model. In some examples, the method further includes conducting a matching between the SOT output and each detected object of the one or more detected objects to generate a match result; and generating a tracker output based at least in part on the SOT output, the one or more detected objects, and the match result.

Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame of a sequence of image frames, performing object detection using an object tracker to identify an object of interest in the first image frame, based upon one or more templates associated with the object of interest in a template repository, outputting a first indicator associated with a first image portion corresponding to the identified object of interest, and receiving a user input associated with the object of interest. In some examples, the user input indicates an identified image portion in the image frame. In some examples, the method further includes generating a retargeted template, based at least in part on the identified image portion, and determining a second image portion associated with the object of interest in a second image frame of the sequence of image frames using the object tracker, based at least in part on the retargeted template.

Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving an input image, and performing object detection by a software detector to identify a set of detected objects. The software detector includes a machine-learning model. The method further includes outputting one or more indicators of the set of detected objects. Each detected object in the set of detected objects is associated with a confidence level. The method further includes receiving a user input; identifying a template including an image portion associated with the user input; determining a similarity metric between the template and an object in the set of detected objects; modifying a confidence level of the object based at least in part on the determined similarity metric; and generating an output including an indicator of the object based at least in part on the modified confidence level.

Abstract: A surgical instrument (10) includes a housing (20) defining a longitudinal axis and a first assembly (200) and a second assembly (300) operably coupled to the housing (20). The first assembly (200) includes a first function button (200b) pivotably coupled to the housing (20) about a first pivot (200p) and a first circuit (210) supported by the housing (20) and aligned with the first pivot (200p). The first function button (200b) includes a first arm (201) on a first side of the first pivot (200p) and a second arm (202) on a second side of the first pivot (200p). The first circuit (210) is aligned with the cutting picot between the first arm (201) and the second arm (202) and includes a first actuator (211) on the first side of the first pivot (200p) and a second actuator (212) on the second side of the first pivot (200p).

Abstract: Provided is an electronic device, including a housing, a fixing hole, a platform and a sensor. The fixing hole is located at the housing and configured to detachably fix an identification element. The platform extends outward from the lower edge of the fixing hole. The sensor is disposed on the platform and configured to communicate with the identification element.

Abstract: An electrosurgical hook electrode includes an intermediate portion (36), a hook portion (38) connected to the intermediate portion (36) at a bend angle, and a coating (40) disposed over the intermediate portion (36) and the hook portion (38), the coating (40) having a varying thickness.

Abstract: The disclosure provides an electronic device. The electronic device includes a computer system, a light emitting module, and a control unit. The computer system is adapted to execute a boot procedure, the boot procedure lasting for a first time period. A light emitting module includes a plurality of indicator lights, each indicator light providing an indication function. The control unit is electrically connected to the light emitting module. The control unit controls the indicator lights to generate a first light emitting effect within a second time period when the computer system enters the boot procedure. The second time period is shorter than the first time period.

Abstract: An electrosurgical electrode (30) includes a conductive rod (32) having a working portion (38) at a distal end portion (35). The electrode (30) also includes a composite coating (40) disposed on the working portion (38). The composite coating (40) includes a first coating (42) disposed on an outer surface of the working portion (38) and a second coating (44) disposed over the first coating (42).

Abstract: An electrosurgical blade (900) configured to couple to an RF electrosurgical instrument (100). The electrosurgical blade (900) includes a proximal portion (900a) configured to couple to a blade receptacle (104) of an RF electrosurgical instrument (100), a coagulation section (920) extending distally from the proximal portion (900a), a blade edge (940) defined around a periphery of the electrosurgical blade (900), and a ramped surface (930) extending between the coagulation section (920) and the blade edge (940). The blade edge (940) includes a right-angled tip (944) and is defined by a first side (941) extending longitudinally, a second side (942) extending longitudinally and having a curved portion (942c), and a distal side (943) extending laterally.

Abstract: A casing of an electronic device including successive pattern structures is provided, including a first body, a second body, a first light emitting pattern, and a second light emitting pattern. The first body includes an outer surface and an inner surface, and the outer surface includes a first side edge. The second body includes an upper surface and a pivoting structure. The upper surface includes a covered area and an exposed area. The first body is pivotally connected to the second body through the pivoting structure, and the pivoting structure is located between the covered area and the exposed area. The first light emitting pattern is located on the outer surface and includes a first end extending to the first side edge. A second light emitting pattern, located on the exposed area, and including a second end. When the inner surface covers the covered area, the first end is aligned with the second end.

Abstract: An electronic device including a housing, a light source, and a printed pattern layer is provided. The housing includes an inner side and an outer side. The light source is disposed on the inner side of the housing. The printed pattern layer covers the outer side of the housing. The printed pattern layer includes a shielding area and a transparent area. A light beam from the light source transmits outward through the transparent area.

Abstract: A light-transmitting plastic casing and a manufacturing method thereof are provided. A manufacturing method of a light-transmitting plastic casing include the steps: providing a mixed material, the mixed material includes a resinous material, a flame retardant material, a transparent fiberglass material, and an elastomer material; performing a granulating step to the mixed material to form granules; performing a heating step to the granules; and performing a molding step to heated granules to form a light-transmitting plastic casing.

Abstract: Hierarchical systems and methods for automatic container type recognition from images are disclosed herein. An example embodiment includes a system for image analysis, comprising: a container recognition component; a character recognition component; and a 3D point cloud component; wherein the container recognition component is configured to receive an image and produce one of three outputs based on analysis of the image such that the output corresponds to either a container is identified, further analysis is performed by the character recognition component, or further analysis is performed by the 3D point cloud component.