Sony Semiconductor Solutions Corporation

Kyoji Yokoyama

Ryoji Eki

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

Imaging device and imaging method

An information processing device and an information processing method 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 according to the present disclosure includes an acquisition unit, a generation unit, and an output unit. From an imaging unit that captures an image and generates image data, the acquisition unit acquires the image data. The generation unit generates, from the image data acquired by the acquisition unit, metadata to assist an application processor that executes processing related to the image. The output unit outputs the metadata generated by the generation unit to the application processor.

Information processing device and information processing method

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 () according to the present disclosure includes a setting unit () and a control unit (). The setting unit () sets exposure time of each of imaging pixels in an imaging unit (), 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 () causes transfer of signal charges from imaging pixels, which have been exposed, to a floating diffusion (FD), thereby performing convolution processing.

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Kanagawa, Japan

Kyoji Yokoyama