Abstract: Provided are an information processing device, an information processing method, and an information processing program capable of reducing a processing load of convolution processing in a convolutional neural network (CNN). An information processing device (1) according to the present disclosure includes a setting unit (51) and a control unit (52). The setting unit (51) sets exposure time of each of imaging pixels in an imaging unit (2), which includes a plurality of imaging pixels arrayed two-dimensionally, to exposure time corresponding to a convolution coefficient of a first layer of a CNN. The control unit (52) causes transfer of signal charges from imaging pixels, which have been exposed, to a floating diffusion (FD), thereby performing convolution processing.

Abstract: Provided are an information processing device, an information processing method, and an information processing program capable of reducing a processing load of convolution processing in a convolutional neural network (CNN). An information processing device (1) according to the present disclosure includes a setting unit (51) and a control unit (52). The setting unit (51) sets exposure time of each of imaging pixels in an imaging unit (2), which includes a plurality of imaging pixels arrayed two-dimensionally, to exposure time corresponding to a convolution coefficient of a first layer of a CNN. The control unit (52) causes transfer of signal charges from imaging pixels, which have been exposed, to a floating diffusion (FD), thereby performing convolution processing.

Abstract: A communication device (10-1) according to the present disclosure includes a ToF (time of flight) sensor and a control unit (90). The ToF sensor includes a light emitting unit (31) that emits light to an object (X) to be measured and a light receiving unit (32) that receives light reflected from the object (X) to be measured. The control unit (90) controls the ToF sensor. Furthermore, the control unit (90) emits light for a linking request to another communication device (10-2), from the light emitting unit (31), and receives light being a response to the linking request from the another communication device (10-2), at the light receiving unit (32).

Abstract: An information processing device, an information processing method, and an information processing program capable of reducing an information processing amount of an application processor that recognizes a subject from an input image are provided. An information processing device (100) according to the present disclosure includes an acquisition unit (4), a generation unit (7), and an output unit (6). From an imaging unit that captures an image and generates image data, the acquisition unit (4) acquires the image data. The generation unit (7) generates, from the image data acquired by the acquisition unit (4), metadata to assist an application processor that executes processing related to the image. The output unit (6) outputs the metadata generated by the generation unit (7) to the application processor.

Abstract: An imaging device (1) according to the present disclosure includes an imaging unit (2), a data acquisition unit (3), a clock generation unit (4), and a control unit (5). The imaging unit (2) captures an image, and generates image data. The data acquisition unit (3) acquires clock data related to an operation clock shared with other imaging devices. The clock generation unit (4) generates the operation clock based on the clock data received by the data acquisition unit (3). The control unit (5) controls the operation of the imaging unit (2) based on the operation clock generated by the clock generation unit (4).

Abstract: A device (1) according to the present disclosure is provided. The device (1) includes a model switching unit (113). The model switching unit (113) switches a machine learning model used for recognizing information about a distance to a measurement object based on an output signal output from a light receiving element when the light receiving element receives light emitted from a light source (2) and reflected by the measurement object.

Abstract: A measuring device (1) according to the present disclosure is provided. The measuring device (1) includes a plurality of light receiving elements and a recognition unit (111). The plurality of light receiving elements are arranged on a first substrate (P1), and output signals when receiving light emitted from a light source and reflected by a measurement object. The recognition unit (111) is arranged on a second substrate (P3) different from the first substrate (P1), and recognizes information regarding a distance to the measurement object based on the output signals of the plurality of light receiving elements by using a machine learning model.