Abstract: Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

Abstract: Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

Abstract: Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

Abstract: The invention relates to a system and a corresponding method for communicating over N CAN buses comprising comprising N CAN listeners, wherein each of the CAN listeners is configured to be coupled to a respective CAN bus and to detect CAN activity on the CAN bus to which it is coupled; M CAN controllers, wherein 1?M<N; and a power controller, wherein each CAN listener is configured to generate a control signal in response to detecting CAN activity on the CAN bus to which it is coupled and send the control signal to the power controller which controls the activity state of at least one of the CAN controllers.

Abstract: The invention relates to a system and a corresponding method for communicating over N CAN buses comprising comprising N CAN listeners, wherein each of the CAN listeners is configured to be coupled to a respective CAN bus and to detect CAN activity on the CAN bus to which it is coupled; M CAN controllers, wherein 1?M<N; and a power controller, wherein each CAN listener is configured to generate a control signal in response to detecting CAN activity on the CAN bus to which it is coupled and send the control signal to the power controller which controls the activity state of at least one of the CAN controllers.

Abstract: A device and methods are provided for accessing memory. In one embodiment, a method includes receiving a request for data stored in a device, checking a local memory for data based on the request to determine if one or more blocks of data associated with the request are stored in the local memory, and generating a memory access request for one or more blocks of data stored in a memory of the device based when one or more blocks of data are not stored in the local memory. In one embodiment, data stored in memory of the device may be arranged in a configuration to include a plurality of memory access units each having adjacent lines of pixel data to define a single line of memory within the memory access units. Memory access units may be configured based on memory type and may reduce the number of undesired pixels read.