An information processing system includes an information apparatus configured to process information and a lighting apparatus configured to emit light. The information apparatus includes a reading unit, a first acquisition unit, a second acquisition unit, and a generation unit. The reading unit is configured to read an image including predetermined information. The first acquisition unit is configured to acquire first illumination information from the predetermined information read by the reading unit. The second acquisition unit is configured to acquire second illumination information, which indicates capability information about the lighting apparatus. The generation unit is configured to generate third illumination information, which is to be transmitted to the lighting apparatus, based on the first illumination information and the second illumination information. The lighting apparatus controls emitting the light based on the third illumination information.

The various implementations described herein include methods, devices, and systems for monitoring activity in a home environment. In one aspect, a method performed at a voice-assistant device includes: transitioning to operating in a second mode from a first mode; while operating in the second mode, detecting a sound; obtaining a determination as to whether the sound meets one or more monitoring criteria; and in accordance with a determination that the sound meets the one or more monitoring criteria, generating an alert or notification.

The various implementations described herein include methods, devices, and systems for monitoring activity in a home environment. In one aspect, a method performed at a voice-assistant device includes: transitioning to operating in a second mode from a first mode; while operating in the second mode, detecting a sound; obtaining a determination as to whether the sound meets one or more monitoring criteria; and in accordance with a determination that the sound meets the one or more monitoring criteria, generating an alert or notification.

An operation input device according to one embodiment includes: a display device that emits light to display information; an aerial image forming device that reflects the light from the display device a plurality of times to display a display plane with a switch in an air as a virtual image; a sensor that detects a position of a target object approaching the switch; and a determination unit that determines whether or not the switch has been operated, based on the position of the target object detected by the sensor. An eyepoint position where eyes of an operator that operates the switch are located is set in advance. The aerial image forming device is disposed on a straight line connecting the eyepoint position and the display plane.

An operation input device according to one embodiment includes: a display device that emits light to display information; an aerial image forming device that reflects the light from the display device a plurality of times to display a display plane with a switch in an air as a virtual image; a sensor that detects a position of a target object approaching the switch; and a determination unit that determines whether or not the switch has been operated, based on the position of the target object detected by the sensor. An eyepoint position where eyes of an operator that operates the switch are located is set in advance. The aerial image forming device is disposed on a straight line connecting the eyepoint position and the display plane.

A computer-implemented method for lighting subjects for artificial reality scenes may include (i) identifying (a) a physical camera configured to capture a physical subject for insertion into an artificial reality scene, (b) a physical light source that is positioned such that the physical light source lights the physical subject recorded by the physical camera, and (c) lighting conditions in the artificial reality scene, (ii) determining at least one lighting parameter to light the physical subject such that lighting conditions of the physical subject blend visually with the lighting conditions in the artificial reality scene, and (iii) configuring the physical light source to light the physical subject according to the at least one lighting parameter. Various other methods, systems, and computer-readable media are also disclosed.

A LED controller includes an image buffer to hold image data. An LED pixel forming a part of a large pixel array is activatable in response to image data, LDO state, and pulse width modulation module state. A logic module including a pixel diagnostic mode using an LDO bypass is connected to modify LDO state and allow direct addressing of the LED pixel for diagnostic purposes without needing to use image data from the image buffer.

In various examples, high beam control for vehicles may be automated using a deep neural network (DNN) that processes sensor data received from vehicle sensors. The DNN may process the sensor data to output pixel-level semantic segmentation masks in order to differentiate actionable objects (e.g., vehicles with front or back lights lit, bicyclists, or pedestrians) from other objects (e.g., parked vehicles). Resulting segmentation masks output by the DNN(s), when combined with one or more post processing steps, may be used to generate masks for automated high beam on/off activation and/or dimming or shading—thereby providing additional illumination of an environment for the driver while controlling downstream effects of high beam glare for active vehicles.

In various examples, high beam control for vehicles may be automated using a deep neural network (DNN) that processes sensor data received from vehicle sensors. The DNN may process the sensor data to output pixel-level semantic segmentation masks in order to differentiate actionable objects (e.g., vehicles with front or back lights lit, bicyclists, or pedestrians) from other objects (e.g., parked vehicles). Resulting segmentation masks output by the DNN(s), when combined with one or more post processing steps, may be used to generate masks for automated high beam on/off activation and/or dimming or shading—thereby providing additional illumination of an environment for the driver while controlling downstream effects of high beam glare for active vehicles.

In some examples, a computer includes a display panel, a bezel around the display panel, a camera, and a plurality of separate light sources integrated into the bezel at respective different locations.