Abstract: Systems, apparatuses and methods may provide for detecting a snapshot request to conduct a long range depth capture, wherein the snapshot request is associated with a short range depth capture. Additionally, an infrared (IR) projector may be activated at a first power level for a first duration in response to the snapshot request, wherein the first power level is greater than a second power level corresponding to the short range depth capture and the first duration is less than a second duration corresponding to the short range depth capture.

Abstract: Systems, apparatuses and methods may provide for detecting a snapshot request to conduct a long range depth capture, wherein the snapshot request is associated with a short range depth capture. Additionally, an infrared (IR) projector may be activated at a first power level for a first duration in response to the snapshot request, wherein the first power level is greater than a second power level corresponding to the short range depth capture and the first duration is less than a second duration corresponding to the short range depth capture.

Abstract: Various systems and methods for real-time cascaded object recognition are described herein. A system for real-time cascaded object recognition comprises a processor; and a memory, including instructions, which when executed on the processor, cause the processor to perform the operations comprising: accessing image data at the system, the image data of an environment around the system, the image data is captured by a camera system; determining a set of regions in the image data, the set of regions including candidate objects; transmitting a subset of the image data corresponding to the set of regions to a remote server, the remote server to analyze the subset of the image data and detect an object in the subset of the image data; and receiving at the system from the remote server, an indication of the object detected in the subset of the image data.

Abstract: Various systems and methods for real-time cascaded object recognition are described herein. A system for real-time cascaded object recognition comprises a processor; and a memory, including instructions, which when executed on the processor, cause the processor to perform the operations comprising: accessing image data at the system, the image data of an environment around the system, the image data is captured by a camera system; determining a set of regions in the image data, the set of regions including candidate objects; transmitting a subset of the image data corresponding to the set of regions to a remote server, the remote server to analyze the subset of the image data and detect an object in the subset of the image data; and receiving at the system from the remote server, an indication of the object detected in the subset of the image data.