Abstract: An imaging device includes: an imaging section that has a pixel region where a plurality of pixels is arrayed, a readout unit control section that controls readout units each set as a part of the pixel region, a readout control section that controls readout of pixel signals from the pixels included in the pixel region for each of the readout units set by the readout unit control section, a recognition section that has a machine learning model trained on the basis of leaning data, and a determination basis calculation section that calculates a determination basis of a recognition process performed by the recognition section. The recognition section performs the recognition process for each of the readout units. The determination basis calculation section calculates a determination basis for each of the readout units.

Abstract: Information processing is implemented which analyzes the cause of the result of recognition using a machine learning model. An information processing apparatus includes: a recognition processing section configured to perform object recognition processing on sensor information from a sensor section by use of a trained machine learning model; a causal analysis section configured to analyze the cause of a result of recognition by the recognition processing section on the basis of the sensor information from the sensor section and the result of recognition by the reception processing section; and a control section configured to control an output of the sensor section. The sensor section is an image sensor. The causal analysis section determines the cause of a drop in characteristic of recognition by the recognition processing section on the basis of low-resolution high-bit-length image data for causal analysis.

Abstract: Where a highly accurate image analysis is required, for example, only RAW images selected according to specified conditions are selected and transmitted to a server. There are provided an imaging unit that is mounted on a movable device, an image signal processor that generates a color image by signal processing of the RAW image which is an output of an imaging element of the imaging unit, an image analysis unit that executes analysis processing of the color image, a transmission necessity determination unit that determines transmission necessity of the RAW image to the server, and a transmission unit that transmits the RAW image to the external server according to a determination result. The transmission necessity determination unit decides the transmission necessity of the RAW image on the basis of a transmission timing control at constant intervals, imaging and signal processing parameters, an image analysis result, device information, or the like.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a prediction unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The prediction unit predicts an action of the target object on a basis of the estimated posture.

Abstract: The present technology relates to an artificial satellite and a ground system enabling to efficiently hold data in the artificial satellite. An artificial satellite includes: an image processing unit that executes feature amount generation processing of generating a feature amount of a captured satellite image; a storage unit that holds feature amount data obtained as a result of the feature amount generation processing; and a communication unit that transmits the feature amount data to a ground station when communication with the ground station becomes possible. The ground system includes an image processing unit configured to generate complemented data by using complementing data and feature amount data that indicates a feature amount of a satellite image acquired from an artificial satellite and obtained by capturing an image of a ground by the artificial satellite. The present technology can be applied to, for example, a satellite image processing system and the like that process a satellite image.

Abstract: The present technology relates to a ground system and an image processing method thereof enabling to efficiently acquire data from an artificial satellite. A ground system includes: an image processing unit that requests transmission of additional data related to partial data from an artificial satellite to a ground station, on the basis of an analysis result of the partial data of a satellite image captured by the artificial satellite. The present technology can be applied to, for example, a satellite image processing system and the like that process a satellite image.

Abstract: The present invention suppresses an increase in processing time and power consumption that is associated with function implementation. An electronic device according to an embodiment comprises: an imaging unit (11) that generates image data; a processing unit (14) that executes neural network calculation model-based processing with respect to image data-based data that is read out from the imaging unit; a function execution unit (12) that performs a predetermined function on the basis of the results of the processing; and a detection unit (32) that detects displacement, wherein the processing unit executes the processing when the detection unit detects displacement.

Abstract: The present technology relates to a sensor device and a data processing method thereof enabling to efficiently store sensor data. A sensor device includes: a control unit that executes feature amount generation processing on detected sensor data, to generate feature amount data; and a transmission unit that transmits the feature amount data by wireless communication. The present technology can be applied to, for example, a data processing system and the like that analyze data of a sensor device installed on the ground.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and that reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region: a recognition unit that has learned training data for each of units of readout; a first output unit that outputs a recognition result of recognition performed by the recognition unit for each of the units of readout; a second output unit that outputs the pixel signal to a subsequent stage; and a trigger generator that generates a trigger signal for controlling a first timing at which the first output unit outputs the recognition result and a second timing at which the second output unit outputs the pixel signal.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region; a first unit-of-readout setting unit that sets a first unit of readout that is used for reading out the pixel signal from the pixel region for a recognition process that has learned training data for each of the units of readout; a second unit-of-readout setting unit that sets a second unit of readout that is used for reading out the pixel signal from the pixel region so as to output the pixel signal to a subsequent stage; and a mediation unit that performs mediation between the first unit of readout and the second unit of readout.

Abstract: Provided is an information processing device that includes an acquisition unit that acquires an image captured by an imaging unit, a recognition unit that recognizes attributes of an object shown in the image captured by the imaging unit, and a generation unit that generates a bird's-eye view map showing the attributes of the object on the basis of the image captured by the imaging unit and information on the attributes of the object recognized by the recognition unit.

Abstract: An imaging apparatus according to an embodiment includes: an imaging unit having a pixel region in which a plurality of pixels is arranged; a readout controller that controls readout of pixel signals from pixels included in the pixel region; a first unit-of-readout setting unit that sets a unit of readout as a part of the pixel region, for which the readout controller performs readout of the pixel signal; an image output unit that outputs a first image based on the pixel signal read out from the unit of readout to a subsequent stage; a second unit-of-readout controller that controls the unit of readout in which the readout controller performs readout of the pixel signal; and a recognition unit that learns training data for each of the units of readout, performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result.

Abstract: A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Abstract: Provided are an imaging device, an imaging system, an imaging method, and an imaging program capable of preventing a reliability degree from decreasing in accuracy even in a case where recognition processing is performed using a partial region of image data. An information processing device includes a reading unit configured to set, as a read unit, a part of a pixel region in which a plurality of pixels is arranged in a two-dimensional array, and control reading of a pixel signal from a pixel included in the pixel region, and a reliability degree calculation unit configured to calculate a reliability degree of a predetermined region in the pixel region on the basis of at least one of an area, a read count, a dynamic range, or exposure information of a region of a captured image, the region being set and read as the read unit.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region; a first unit-of-readout setting unit that sets a first unit of readout that is used for reading out the pixel signal from the pixel region for a recognition process that has learned training data for each of the units of readout; a second unit-of-readout setting unit that sets a second unit of readout that is used for reading out the pixel signal from the pixel region so as to output the pixel signal to a subsequent stage; and a mediation unit that performs mediation between the first unit of readout and the second unit of readout.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and that reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region: a recognition unit that has learned training data for each of units of readout; a first output unit that outputs a recognition result of recognition performed by the recognition unit for each of the units of readout; a second output unit that outputs the pixel signal to a subsequent stage; and a trigger generator that generates a trigger signal for controlling a first timing at which the first output unit outputs the recognition result and a second timing at which the second output unit outputs the pixel signal.

Abstract: The present technology relates to a method for generating a learning model, a program, and an information processing apparatus that enable image recognition with reduced influence of brightness in a target image. A learning model is trained such that a total sum of coefficients in one or more channels of at least one or more convolution filters among the convolution filters for a first layer of a neural network including a plurality of the convolution filters approaches zero, the neural network being applied to the learning model that performs recognition processing on input data.

Abstract: An aspect of the present disclosure provides an information processing device, an information processing system, an information processing method, and an information processing program capable of preventing a decrease in recognition rate of recognition processing even when nonlinear distortion dependent on a luminous flux distribution of an optical system occurs in an image. The information processing device includes a reading unit configured to set, as a reading pixel, a part of a pixel region in which a plurality of pixels is arranged in a two-dimensional array, and control reading of a pixel signal from a pixel included in the pixel region, and a correction unit configured to correct the read unit on the basis of a lens distortion parameter and causes the reading unit to read the pixel signal.

Abstract: An aspect of the present disclosure provides an information processing apparatus, an information processing system, an information processing method, and an information processing program which can suppress a decrease in a recognition rate of recognition processing even in a case where recognition processing is performed using data of a partial region of image data. An information processing apparatus includes a reading unit that sets a readout pixel as a part of a pixel region in which a plurality of pixels is arranged in a two-dimensional array, and controls reading out of a pixel signal from the pixel included in the pixel region; and a setting unit that sets the readout pixel on the basis of color filter array information of the pixel region.

Abstract: An imaging apparatus according to an embodiment includes: an imaging unit having a pixel region in which a plurality of pixels is arranged; a readout controller that controls readout of pixel signals from pixels included in the pixel region; a first unit-of-readout setting unit that sets a unit of readout as a part of the pixel region, for which the readout controller performs readout of the pixel signal; an image output unit that outputs a first image based on the pixel signal read out from the unit of readout to a subsequent stage; a second unit-of-readout controller that controls the unit of readout in which the readout controller performs readout of the pixel signal; and a recognition unit that learns training data for each of the units of readout, performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result.