Abstract: An edge device (20) that is an example of an information processing device of an embodiment according to the present disclosure includes a transmitting section that transmits, to a server device (10) that generates a neural network, information related to a processing capability for processing the neural network supplied from the server device (10), wherein the information related to the processing capability includes at least one of capacity information of the neural network, filter size information of a favorite convolutional neural network, hardware architecture type information, chip information, and device model number information.

Abstract: A data transmission device includes a transmission processing unit that transmits sensing data of a detection target in response to occurrence of an event that satisfies a condition specified as an event related to the detection target, in which the sensing data is data including type information indicating a type of sensing data, in a case where whether or not the type of sensing data is a specific type is determined, and as a result, the type of sensing data is an unspecific type, the transmission processing unit performs processing of storing unspecific type information indicating that the type of sensing data is an unspecific type in the type information, and generating and transmitting the sensing data including text data in which detection result information indicating a detection result of the detection target by text and type information indicating a data type of the detection result information are stored.

Abstract: The present technology relates to an information processing apparatus, an information processing method, and a program that enable processing with maintained accuracy to be performed using a recognition model according to a noise level. A model switching unit that switches a recognition model according to an amount of noise of an imaged image is provided, and the model switching unit switches between a first recognition model trained with an image without noise and a second recognition model trained with an image with noise. The recognition model is used for processing by an AI function. It is applicable to, for example, a system including a surveillance camera and a server that distributes data from the surveillance camera.

Abstract: The present technology relates to an information processing device, an information processing method, and an information processing system by which a user can easily recognize a position of a sensor having a defect from among sensors mounted on a vehicle. Position-related information about a relative position or direction with respect to a vehicle is acquired, and a combined image obtained by combining a defect image representing a position of the sensor having a defect from among the sensors mounted on the vehicle with a vehicle image reflecting the vehicle is displayed in response to the position-related information. The present technology can be applied so that a user can recognize a sensor having a defect from among the sensors mounted on a vehicle.

Abstract: The present technology relates to an information processing device, an information processing method, and an information processing system by which a user can easily recognize a position of a sensor having a defect from among sensors mounted on a vehicle. Position-related information about a relative position or direction with respect to a vehicle is acquired, and a combined image obtained by combining a defect image representing a position of the sensor having a defect from among the sensors mounted on the vehicle with a vehicle image reflecting the vehicle is displayed in response to the position-related information. The present technology can be applied so that a user can recognize a sensor having a defect from among the sensors mounted on a vehicle.

Abstract: A surface light source device includes a light source; a light guide plate that has a light entrance surface through which light enters, and that emits the light entering through the light entrance surface from a light exit surface; a wiring board; and a metal frame. The metal frame includes a bottom portion having a bottom surface that faces a surface on an opposite side to the light exit surface, a side wall erected on an outer periphery of the bottom surface, and a projecting portion provided on the side wall so as to project toward the bottom surface side. The metal frame houses the light source, the light guide plate, and the wiring board. At least a part of the light source is disposed between the bottom portion and the projecting portion, and the wiring board is disposed between the light source and the bottom portion.

Abstract: A surface light source device includes a light source; a light guide plate that has a light entrance surface through which light enters, and that emits the light entering through the light entrance surface from a light exit surface; a wiring board; and a metal frame. The metal frame includes a bottom portion having a bottom surface that faces a surface on an opposite side to the light exit surface, a side wall erected on an outer periphery of the bottom surface, and a projecting portion provided on the side wall so as to project toward the bottom surface side. The metal frame houses the light source, the light guide plate, and the wiring board. At least a part of the light source is disposed between the bottom portion and the projecting portion, and the wiring board is disposed between the light source and the bottom portion.

Abstract: The present disclosure provides a motion recognition technique which simplifies computing processes and which can be implemented without recourse to a large amount of computing resources, as well as a technique for controlling a control target apparatus by use of the same motion recognition technique. A motion recognition apparatus is disclosed which includes a motion recognition part configured such that upon recognizing a recognition target object moving from one determination area to one other determination area before moving back to that one determination area, the motion recognition part recognizes a predetermined swing motion.