Canon Kabushiki Kaisha

Kento Watanabe

Takenori Kobuse

Daisuke Higuchi

Takahiro Kamikura

Shigeharu Aoki

Taro Takita

Yusuke Onuki

Daisuke Kobayashi

Hiroyuki Hasegawa

Naoki Ishikawa

Hajime Ikeda

Yoshiki Ishii

Takayuki Kimura

Takahiro Matsuura

Yasuhiro Itoh

Yusuke Yamashita

Masaharu Yamagishi

Keisuke Matsuno

Shunsuke Miyajima

Takehito Fukushima

Masatoshi Otsubo

Shunsuke Kawahara

Shuhei Hayashi

Takuya Nabeshima

A node apparatus configured to be connected with a sensor includes a communication portion and a control portion. The communication portion is configured to communicate with a gateway apparatus. The control portion is configured to execute a first task in which the control portion transmits data obtained from the sensor, to the gateway apparatus by using the communication portion, and a second task in which the control portion transmits information on synchronization with the gateway apparatus, to the gateway apparatus by using the communication portion at a timing different from a timing at which the control portion executes the first task.

Node apparatus, system, method of controlling the node apparatus, method of controlling the system, method of manufacturing products, and recording medium

An information processing system includes a plurality of node devices and a gateway device configured to communicate with the plurality of node devices. Each of the plurality of node devices is connected to a sensor configured to measure a state of a facility, and is configured to execute a measurement task. Each of the plurality of node devices is configured to add node identification information used to identify the node device and task identification information used to identify the measurement task executed by the node device, to measurement data acquired in the measurement task, and send the measurement data to the gateway device.

Information processing system, information processing method, recording medium, node device, gateway device, manufacturing system, method of manufacturing product

In an image processing apparatus, an image signal of a plurality of polarized lights is input, for each set of image signals corresponding to the polarized lights, a maximum value of polarization intensities of polarization components of the image signals and a polarization angle at which the maximum value of the polarization intensities is obtained are found, and a target area to which polarization reduction is to be applied is found based on the image signal and a statistical area is set in the target area. Representative intensity and angle which are modes of the polarization intensities and angles of the sets included in the statistical area are found, and first correction processing for correcting each image signal of the sets included in the target area is performed using the representative intensity and angle according to the polarization angle of the each image signal.

Image processing apparatus and method, and image capturing apparatus

A photoelectric conversion device includes pixels each including a photoelectric conversion unit for generating charge by photoelectric conversion, first to fourth charge holding portions configured to be transferred charge from the photoelectric conversion unit, and an output unit for outputting a signal corresponding to charge transferred from one of the first to fourth charge holding portions, and a control circuit for controlling the plurality of pixels. The control circuit performs, during one frame, transferring charge in the photoelectric conversion unit to the first or second charge holding portion a plural times for each of the first and second charge holding portions in each of the pixels at the same time, and performs, during the one frame, reading out from each pixel a signal corresponding to charge in the third charge holding portion and a signal corresponding to charge in the fourth charge holding portion.

Photoelectric conversion device and method of driving photoelectric conversion device

An image processing apparatus comprises one or more processors and one or more memories containing instructions that, when executed by the one or more processors, cause the one or more processors to function as a specification unit configured to, based on a parameter of an image capturing unit, specify a region captured by the image capturing unit in a display screen in which display panels are arrayed, and a correction unit configured to, based on a direction from a pixel in the region to the image capturing unit, obtain a correction amount of a luminance value of the pixel, and based on information for correcting an individual difference regarding a luminance of a display panel, correct the correction amount.

Image processing apparatus that corrects luminance values in pixels in a specified display region using a correction amount based on vectors between a pixel and an image capture apparatus

An information processing apparatus that performs machine learning of a learning model for improving the accuracy of inference of an image even in a case where the characteristics of an image are changed by correction applied to the image. The image processing apparatus includes an image processor configured to perform image processing on a training image and a teacher image according to each of a plurality of correction conditions. Machine learning of the learning model is performed using the training image and the teacher image. A plurality of parameters obtained by performing the machine learning of the learning model are stored in association with the plurality of correction conditions, respectively.

Image processing apparatus that performs machine learning of learning model, method of controlling image processing apparatus, and storage medium

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Kanagawa, Japan

Kento Watanabe