Rakuten Group, Inc.

Mitsuru Nakazawa

Takashi Tomooka

Jun Takizawa

Hiroaki Iwase

Bjorn Stenger

Hajime Kato

Dinesh Daultani

Muhammad Aqmar

Disclosed is a packaging box body for packing an article. In the packaging box body, an upper surface and at least two lateral surfaces that are adjacent to each other are defined as target surfaces, and a code image is formed on each of the target surfaces.

Packaging box body, information processing apparatus, and program

An information processing apparatus includes an acquiring unit configured to acquire an object image that includes an object, and a predicting unit configured to predict a class of the object by applying the object image acquired by the acquiring unit to a learning model. The learning model includes a main network () that extracts feature amounts regarding hierarchical classes of the object based on the object image, and a sub network () that outputs hierarchical classes of the object based on the feature amounts. The main network () includes extractors that extract the feature amounts. The sub network () includes classifiers that output classes of the object based on the feature amounts, and in the sub network, a higher-level classifier has a connection to one or more lower-level classifiers.

Information processing apparatus, information processing method, non-transitory computer readable medium, and learning model

The learning system SYacquires control information output from a control model M by inputting to the control model M environmental information including weather information in at least one of a surrounding environment of an unmanned aerial vehicle P and an environment of a planned flight area of an unmanned aerial vehicle P, and when the unmanned aerial vehicle P takes an action based on the control information, performs reinforcement learning of the control model M using a reward r representing an evaluation of a result of the action.

Learning device, information processing device, and learned control model

Disclosed is an image processing apparatus including a receiving section that receives a captured image of a target object, a recognizing section that performs recognition of the target object by extracting feature points of the target object on the basis of the captured image, a recommending section that gives recommendation regarding an imaging direction on the basis of a type of the target object, and an instruction section that gives an instruction on a specific direction to capture an image of the target object, on the basis of a result of the recognition and a result of the recommendation.

Image processing apparatus and method with capture direction recommendations

To reduce environmental influence in flight (including taking-off and landing) of a flying object, main drone current position information acquisition unit acquires a current position of a main drone from a main drone control terminal, and provides the current position to the movement instruction unit. The sub-drone current position information acquisition unit acquires a current position from the sub-drone, and provides it to the movement instruction unit. The movement instruction unit determines a movement position of the sub-drone on the basis of the current position of the main drone. In addition, the movement instruction unit generates a movement instruction for the sub-drone based on a difference between the current position and the movement position of the sub-drone, and transmits the movement instruction to the sub-drone. The drive control unit acquires the movement instruction transmitted from the sub-drone control terminal.

Information processing system, information processing method, and program

Provided is a flight simulation system for an unmanned aerial vehicle capable of performing pilot training of the unmanned aerial vehicle in an environment closer to a real environment. The flight simulation system for an unmanned aerial vehicle includes: an operation data acquisition unit configured to acquire operation data of a virtual unmanned aerial vehicle performed by a trainee; a simulator unit configured to calculate, based on geospatial data of a real space and the operation data, a current position of the virtual unmanned aerial vehicle in the real space; and a display unit configured to generate an image of the virtual unmanned aerial vehicle so that the virtual unmanned aerial vehicle is visually recognizable at the current position in the real space, and to output the generated image to the trainee.

Operation simulation system and method for unmanned aircraft

The information processing device detects a feature existing in the peripheral area of a landing candidate place of the UAV, estimates a degree of influence on a landing due to downwardly-blowing wind generated during the landing of the UAV, hitting and bouncing off the feature, which is the degree of influence at the landing candidate place, and determines whether or not the landing candidate place is suitable for landing on the basis of the estimated degree of influence.

Information processing device, landing suitability determining method, and non-transitory computer readable memory

To analyze images of more diverse graphs at higher speed and accuracy, disclosed herein is an information processing apparatus, comprising: a graph image acquisition unit configured to acquire a graph image; a graph classification unit configured to classify the graph image acquired by graph type; a probability map generation unit configured to generate, from the graph image, a probability map that is of a different type by the graph type; a component extraction unit configured to extract a plurality of components in the graph image based on the probability map generated by the probability map generation unit, and trace a graph with the plurality of components extracted; a value extraction unit configured to extract values of the components of the graph image extracted by the component extraction unit; and an output unit configured to output the values of the components extracted.

Information processing apparatus and information processing method

An information processing apparatus includes: a generating unit configured to generate, from a data group including training data elements given different correct labels, multiple training data sets in such a manner that the number of included training data elements changes successively, by successively selecting one or more training data elements from the data group; and a training unit configured to repeatedly train a learning model for machine learning by applying the training data sets to the learning model.

Information processing apparatus, information processing method, and non-transitory computer readable medium

Described herein is an information processing apparatus, including: a graph image acquisition unit configured to acquire a graph image; a graph classification unit configured to classify the graph image acquired by the graph image acquisition unit by graph type; a probability map generation unit configured to generate, from the graph image, a probability map that is of a different type by the graph type using a single neural network; a component extraction unit configured to extract a component in the graph image based on the probability map generated by the probability map generation unit; a value extraction unit configured to extract a value of the component of the graph image extracted by the component extraction unit; and an output unit configured to output the value of the component extracted by the value extraction unit.

An information processing apparatus (): sets a plurality of styles that each indicate a moving-image composition of a moving image which relates to a predetermined item and in which a plurality of pieces of image content corresponding to the predetermined item are used; acquires an attribute of a target user; estimates the most-suitable style for the target user among the plurality of styles based on the plurality of pieces of image content and the attribute of the target user; and provides a moving image that is in accordance with the estimated style to the user.

A flight route information acquisition module acquires flight route information indicating a flight route of an unmanned aerial vehicle in a real space. A real space position/direction identifier identifies a visually recognized position and a visually recognized direction in the real space. A flight route image generator generates a flight route image representing the flight route viewed from the visually recognized position in the visually recognized direction based on the flight route information. A display controller displays the flight route image under a state in which a position of the flight route image is matched with a situation viewed from the visually recognized position in the visually recognized direction in the real space on a display.

Flight route guidance system, flight route guidance device and flight route guidance method

Provided is an information-processing device including: a CPU; and a memory storing instructions for causing the information-processing device, when executed by the CPU, to: select M (M≤N) images from N (N>1) images; generate a combined image by arranging the selected M images in M frames defined in advance, respectively; and determine a total assessment value in association with the generated combined image, the total assessment value including at least a linear sum of a selection assessment value being a linear sum of single image assessment values of the selected M images and a combination assessment value being a single image assessment value of the combined image.

Information-processing device, information-processing method and non-transitory computer-readable information recording medium

The sensing system S extracts a target area to be subjected to short-distance sensing by the UGVon the basis of the long-distance sensing data obtained by the UAVin the air performing long-distance sensing on a lower place, perform movement control for moving the UGVtoward the target area. And then, the sensing system S acquires short-distance sensing data obtained by performing short-distance sensing on the whole or a part of the target area by the UGVthat has moved according to the movement control.

Sensing system, sensing data acquisition method, and control device

The unmanned aerial vehicle system S identifies a landing point candidate that is a candidate for an emergency landing point for causing an UAVflying toward a destination point to make an emergency landing at other than the destination point and calculate a recovery cost regarding a recovery route candidate connecting a reference point and the landing point candidate, the recovery cost being used to determine a recovery route connecting the reference point and the emergency landing point or the emergency landing point.

Growing community of inventors

Tokyo, Japan

Mitsuru Nakazawa