According to one embodiment, a display control device extracts a first feature from a first image of a welding operation, and causes a display device to display the first feature and a guide, the guide being related to the welding operation. The guide preferably includes a second feature corresponding to the first feature. The first feature and the second feature each may indicate a shape and position of a component related to the welding operation.

A method and device for documenting use of at least one implant used in a surgery and/or for the localization thereof. The implant can be provided for a surgery and used in the surgery. The method includes: a) providing a surgical set having a plurality of implants; b) capturing a first sequence of images of the plurality of implants of the surgical set using a device; c) analyzing the sequence of images of the plurality of implants in order to identify each individual implant; d) optionally outputting a signal when one and/or each implant has been identified; e) capturing a second sequence of images of the plurality of implants of the surgical set using the device after a surgery in order to ascertain missing implants; f) classifying a missing implant as used in surgery.

A method and device for documenting use of at least one implant used in a surgery and/or for the localization thereof. The implant can be provided for a surgery and used in the surgery. The method includes: a) providing a surgical set having a plurality of implants; b) capturing a first sequence of images of the plurality of implants of the surgical set using a device; c) analyzing the sequence of images of the plurality of implants in order to identify each individual implant; d) optionally outputting a signal when one and/or each implant has been identified; e) capturing a second sequence of images of the plurality of implants of the surgical set using the device after a surgery in order to ascertain missing implants; f) classifying a missing implant as used in surgery.

A method for identifying a jet regulator (1) with improved precision and robustness is provided using a captured photo of a hole pattern (4) of an outlet structure (3) of the jet regulator (1). The captured photo is first compared with different stored hole pattern types (15) in a computer-implemented manner in a first step, and based on an evaluation of the respective degree of a match between the captured photo and each hole pattern type (15), the hole pattern type (15) on which the captured hole pattern (4) is based is ascertained. Subsequently, in another step, the ascertained hole pattern type (15) and the captured hole pattern (4) are examined for deviations in a computer-implemented manner, and identification information which uniquely identifies the jet regulator (1) is ascertained in a computer-implement manner using detected or undetected deviations and is optionally output.

A method for identifying a jet regulator (1) with improved precision and robustness is provided using a captured photo of a hole pattern (4) of an outlet structure (3) of the jet regulator (1). The captured photo is first compared with different stored hole pattern types (15) in a computer-implemented manner in a first step, and based on an evaluation of the respective degree of a match between the captured photo and each hole pattern type (15), the hole pattern type (15) on which the captured hole pattern (4) is based is ascertained. Subsequently, in another step, the ascertained hole pattern type (15) and the captured hole pattern (4) are examined for deviations in a computer-implemented manner, and identification information which uniquely identifies the jet regulator (1) is ascertained in a computer-implement manner using detected or undetected deviations and is optionally output.

The present invention provides an image processing apparatus (100) including an image acquisition unit (101) that acquires a query image, based on an input keyword, a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the query image, a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure, and a search unit (105) that searches, based on a degree of similarity of the computed feature value, for an analysis target image including a person in a state similar to a state of a person included in the query image from the analysis target image.

A system configured to receive video and/or images from an image capture device over a livestock path, generate feature maps from an image of the video by applying at least a first convolutional neural network, slide a window across the feature maps to obtain a plurality of anchor shapes, determine if each anchor shape contains an object to generate a plurality of regions of interest, each of the plurality of regions of interest being a non-rectangular, polygonal shape, extract feature maps from each region of interest, classify objects in each region of interest, in parallel with classification, predict segmentation masks on at least a subset of the regions of interest in a pixel-to-pixel manner, identify individual animals within the objects based on classifications and the segmentation masks, and count individual animals based on identification, and provide the count to a digital device for display, processing, and/or reporting.

A system configured to receive video and/or images from an image capture device over a livestock path, generate feature maps from an image of the video by applying at least a first convolutional neural network, slide a window across the feature maps to obtain a plurality of anchor shapes, determine if each anchor shape contains an object to generate a plurality of regions of interest, each of the plurality of regions of interest being a non-rectangular, polygonal shape, extract feature maps from each region of interest, classify objects in each region of interest, in parallel with classification, predict segmentation masks on at least a subset of the regions of interest in a pixel-to-pixel manner, identify individual animals within the objects based on classifications and the segmentation masks, and count individual animals based on identification, and provide the count to a digital device for display, processing, and/or reporting.

The embodiments of present disclosure herein address unresolved problem of cognitive navigation strategies for a telepresence robotic system. This includes giving instruction remotely over network to go to a point in an indoor space, to go an area, to go to an object. Also, human robot interaction to give and understand interaction is not integrated in a common telepresence framework. The embodiments herein provide a telepresence robotic system empowered with a smart navigation which is based on in situ intelligent visual semantic mapping of the live scene captured by a robot. It further presents an edge-centric software architecture of a teledrive comprising a speech recognition based HRI, a navigation module and a real-time WebRTC based communication framework that holds the entire telepresence robotic system together. Additionally, the disclosure provides a robot independent API calls via device driver ROS, making the offering hardware independent and capable of running in any robot.

The embodiments of present disclosure herein address unresolved problem of cognitive navigation strategies for a telepresence robotic system. This includes giving instruction remotely over network to go to a point in an indoor space, to go an area, to go to an object. Also, human robot interaction to give and understand interaction is not integrated in a common telepresence framework. The embodiments herein provide a telepresence robotic system empowered with a smart navigation which is based on in situ intelligent visual semantic mapping of the live scene captured by a robot. It further presents an edge-centric software architecture of a teledrive comprising a speech recognition based HRI, a navigation module and a real-time WebRTC based communication framework that holds the entire telepresence robotic system together. Additionally, the disclosure provides a robot independent API calls via device driver ROS, making the offering hardware independent and capable of running in any robot.