A method for detecting and re-identifying objects using a neural network. The method includes the steps: extracting features from an image, the features comprising information about at least one object in the image; detecting the at least one object in the image using an anchor-based object detection based on the extracted features, classification data being determined by a classification for detecting the object with the aid of at least one anchor and regression data being determined by a regression; and re-identifying the at least one object by determining embedding data based on the extracted features, the embedding data representing an object description for the at least one feature of the image.

Provided is an object conveying system including: a conveying apparatus that conveys an object; one or more cameras that capture images of feature points of the object; a position measuring portion that measures positions of the feature points from the acquired images; a detecting portion that detects a position or a movement velocity of the object; a position correcting portion that corrects the positions of the feature points so as to achieve positions at which the feature points are disposed at the same time; a line-of-sight calculating portion that calculates lines of sight that pass through the feature points on the basis of the corrected positions of the feature points and the positions of the cameras; and a position calculating portion that calculates a three-dimensional position of the object by applying a polygon having a known shape to the calculated lines of sight.

Embodiments of the present disclosure relate to a method and an apparatus for alerting threats to users. The apparatus may capture a plurality of signals including at least one of Electro-Magnetic (E-M) signals and sound signals. The E-M signal and sound signals are used to detect objects around the user. A threat to the user is predicted based on the objects around the user and one or more alerts are generated such that the user avoids the threat. The prediction of the threat enables the user to take an action even before the threat has occurred. Also, the alerts are generated based on the prediction such that the user can avoid the threat well in advance of the occurrence of the threat.

A robot system provided with: a conveying apparatus; a robot that performs processing on an article being conveyed; a camera that captures images of the article being conveyed; a conveying-velocity calculating portion that calculates at least one of a position of the article on the conveying apparatus and a velocity at which the article is conveyed by the conveying apparatus on the basis of the plurality of images captured by the camera; and a control unit that controls the robot on the basis of at least one of the position and the conveying velocity. The control unit determines whether or not the article is present in the images, and, in the case in which the article is absent, controls the robot on the basis of at least one of the position and the conveying velocity calculated by the conveying-velocity calculating portion immediately therebefore.

An object attitude detection device includes: a picked-up image acquisition unit which acquires a picked-up image of an object; a template image acquisition unit which acquires a template image for each attitude of the object; and an attitude decision unit which decides an attitude of the object, based on the template image having pixels such that a distance between pixels forming a contour in the picked-up image and pixels forming a contour of the template image is shorter than a first threshold and that a degree of similarity between a gradient of the pixels forming the contour in the picked-up image and a gradient of the pixels forming the contour of the template image is higher than a second threshold.

A robot controller able to automatically set an motion range for a robot, in which the robot and an obstacle, such as a peripheral device, do not interfere with each other. The robot controller includes a depth acquisition section acquiring a group of depth data representing depths from a predetermined portion of the robot to points on the surface of an object around the robot, a robot position acquisition section acquiring three-dimensional position information of the predetermined portion, a depth map generator generating depth map information including three-dimensional position information of the points with using the group of depth data and the three-dimensional position information, and an interference region setting section estimating the range occupied by the object from the depth map information and setting the range as an interference region.

A control device is provided to reliably locate objects and calculate appropriate grasp points for each object to thereby effectively control a robot system. A grasp point calculation is based on, at least, properties of a surface of the object to be grasped by the robot system to more effectively calculate a grasp point for the surface of the object. An organised point cloud generator and a robot system having a suction cup end are to generate an organised point cloud of a storage. The robot system can grasp the object from the storage means. Normals of the organised point cloud and principal curvatures of the organised point cloud can be calculated. A grasp point can be calculated for the suction cup end effector of the robot system to grasp an object based on the organised point cloud, the calculated normal, the calculated principal curvatures, and a normal of a lower surface of the storage.

A closed-circuit television (CCTV) online pipeline detection system includes a detection robot and a control terminal of the detection robot, where the detection robot is provided with a CCTV pipeline detection system adapted to the detection robot; the CCTV pipeline detection system includes a GTR8600 monitoring module, a drive device, and a power drive device; the control terminal is separately electrically connected with the GTR8600 monitoring module, the drive device, and the power drive device through a control system; and the control system is provided inside the control terminal.