The present disclosure provides a pickup robot, a pickup method, and a computer-readable storage medium. First, obtain a target image captured when a pickup component moves to each slot where a commodity is stored; then, when it is determined, on the basis of the slot identifier in the target image, that the current slot is a target slot which stores a commodity to be picked, screen a commodity identifier from the target image; when the commodity identifier is obtained by means of screening, determine, on the basis of the commodity identifier, the position information of the commodity to be picked up in the target slot; finally, pick up, on the basis of the position information, said commodity from the target slot. In the technical solution above, the target slot where the commodity to be picked up is stored, and the position information of said commodity in the target slot can be accurately determined by using the slot identifier and the commodity identifier, and said commodity can be accurately picked up on the basis of the determined position information, thereby effectively improving the pickup success rate, and also helping to improve the logistics efficiency of logistics industry.

State of art techniques performing image labeling of remotely sensed data are computation intensive, consume time and resources. A method and system for efficient retrieval of a target in an image in a collection of remotely sensed data is disclosed. Image scanning is performed efficiently, wherein only a small percentage of pixels from the entire image are scanned to identify the target. One or more samples are intelligently identified based on sample selection criteria and are scanned for detecting presence of the target based on cumulative evidence score Plurality of sampling approaches comprising active sampling, distributed sampling and hybrid sampling are disclosed that either detect and localize the target or perform image labeling indicating only presence of the target.

The present invention discloses fiducial marker systems or tag systems and methods to detect and decode a tag. In one aspect, a tag comprises four corners. Two upper corners are interconnected to form a detection area. Two lower corners are interconnected to form another detection area. The detection areas are interconnected by a path. The path divides the space between the detection areas into two coding areas. In another aspect, a tag comprises four corners. The four corners are interconnected by multiple paths. The multiple paths divide the space defined by the four corners into multiple coding areas.

A system may include a processor configured to: obtain an image of an airport terminal chart; based on a latitudinal set of characters, determine a latitude for each line of latitude; based on the latitude for each line of latitude and a first image distance between the lines of latitude, determine a first ratio of latitudinal degrees between the lines of latitude to the first image distance; based on a longitudinal set of characters, determine a longitude for each line of longitude; based on the longitude for each line of longitude and a second image distance between the lines of longitude, determine a second ratio of longitudinal degrees between the lines of longitude to the second image distance; and output information associated with the first ratio, the second ratio, the determined latitude for each line of latitude, and the determined longitude for each line of longitude.

A method of pattern alignment is provided. The method includes identifying a reference pattern positioned below a working surface of a wafer. The wafer is exposed to a first pattern of actinic radiation. The first pattern is a first component of a composite pattern. The first pattern of actinic radiation is aligned using the reference pattern. The wafer is exposed to a second pattern of actinic radiation. The second pattern is a second component of the composite pattern and exposed adjacent to the first pattern. The second pattern of actinic radiation is aligned with the first pattern of actinic radiation using the reference pattern.

The present disclosure refers to a method for determining characteristics of particles of a bulk material such as fertilizer, seed or the like, comprising: providing a heap of particles of a bulk material to be distributed by a distribution machine; providing a measurement tool having an optical landmark on a front side in a measurement position in which the heaped particles of the bulk material are provided in proximity to the measurement tool; providing a camera device configured to detect images; detecting image data by the camera device, the image data indicative of an image of the front side of the measurement tool and the heaped particles provided in proximity to the measurement tool; and determining characteristics of the particles from image data analysis of the image data. Further, a measurement system for determining characteristics of particles of a bulk material is provided.

A method and system are provided for automatically detecting characteristic points of a herringbone fabric with a view to automatically cutting pieces. The herringbone patterns are formed by V-shaped features with vertices that are aligned along a plurality of parallel axes. The method proceeds with a step of acquiring an image of a segment of the fabric, a detection initialization step including, on the basis of predefined parameters or on the basis of the image, acquiring geometric parameters of the herringbone patterns and defining lines of operation perpendicular to the axes of the herringbone patterns, and a step of determining, in the image, coordinates of points of passage of axes of the herringbone patterns along lines of operation via the optimization of a criterion of symmetry of two mirror sub-images acquired along lines of operation.

A key point correction apparatus detects a plurality of key points of a target object from each of a plurality of captured images. The key point correction apparatus decides whether or not a plurality of key points of the target object detected from the captured image satisfy an appropriacy condition. When the key points of the target object satisfy the appropriacy condition, the key point correction apparatus determines a correction parameter regarding the target object using the key points. When a correction parameter has been determined for the target object detected from the captured image, the key point correction apparatus corrects the key points of the target object using a correction parameter.

An electronic device and a method for anchoring an augmented reality object are provided. The electronic device includes a memory, a display and at least one processor operatively connected with the memory and the display. The at least one processor may be configured to control the display to display at least one augmented reality object on an augmented reality space, obtain anchoring attribute information designated to the at least one augmented reality object, identify an anchoring type of content anchored to the at least one augmented reality object according to a user's motion based on the anchoring attribute information, and control the display to display a visual effect representing the anchoring type to the content.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.