A system and method for correcting short term irradiance prediction for control of a photovoltaic power station includes an irradiance data manager that generates an observed irradiance curve based on irradiance measurements received from an irradiation sensor, and a reference curve generation engine that generates a reference curve representative of irradiance values for a clear sky day. An irradiance prediction engine generates an irradiance prediction curve based on image segmentation and motion filtering of cloud pixels in sky images. A prediction correction engine corrects the irradiance prediction curve within a short term future time interval based on probabilistic analysis of time segmented intervals of the observed irradiance curve, the reference curve, and the irradiance prediction curve.

A parameter adjusting method is applied to a projector having an ambient light sensor, a database and a digital micromirror device. The parameter adjusting method includes analyzing a detection signal generated by the ambient light sensor to acquire an environmental light datum, comparing the environmental light datum with a lookup table of the database to compute at least one compensation parameter, and adjusting an amount of reflection light generated by the digital micromirror device in accordance with the at least one compensation parameter for controlling the projector to output a calibrated projection image in response to compensation of the environmental light datum.

A method for depth image acquisition, a device (10) for depth image acquisition, and an electronic device (100) are provided. The method includes the following. An image of a field is obtained to determine a region of interest (ROI) in the image of the field. A current distance to the ROI is obtained. A time-of-flight depth camera (20) is controlled to obtain a current depth image of the field in response to the current distance being greater than a first distance. Both a dual camera (30) and the time-of-flight depth camera (20) are controlled to obtain the current depth image of the field in response to the current distance being not greater than the first distance.

A system and method. The system may include a head-up display (HUD). The HUD may include a positionable combiner optical element (COE) and a combiner alignment detector (CAD) configured to conform images displayed on the positionable COE with a view through the positionable COE. The CAD may include a mirror that moves with the positionable COE, an infrared (IR) emitter configured to emit IR pulses onto the mirror with a duty cycle of less than 1% such that an average time-based radiance of the IR pulses is compatible with a night vision imaging system (NVIS), and an IR detector configured to receive the IR pulses reflected off of the mirror.

An example a media sensor device may comprise a light source positioned on a first side of a media pathway, a light path to receive a light from the light source and direct the light through a plurality of openings from the first side of the media pathway to a second side of the media pathway, and a light sensor on the second side of the media pathway to detect print media within the light path based on an intensity of light received from the light source, wherein a heated enclosure aligns the light sensor with the light path.

Embodiments of the present disclosure disclose a method for detecting ambient light sensing value, an electronic device and a storage medium. The method includes: collecting a light sensing value when a display screen is in an on state, to obtain a first light sensing value; collecting a light sensing value when the display screen is in an off state, to obtain a second light sensing value; calculating a difference between the first light sensing value and the second light sensing value, to obtain a light sensing value drop depth; acquiring a first calibration coefficient or a second calibration coefficient; calculating the ambient light sensing value based on the first light sensing value, the light sensing value drop depth and the first calibration coefficient; or calculating the ambient light sensing value based on the second light sensing value, the light sensing value drop depth and the second calibration coefficient.

The ambient illuminance and light geometry detection system includes a computing process including receiving a hinge angle between two displays of a foldable computing device, illuminance values from illuminance sensors of the displays, and screen activity of each of the displays of the foldable computing device, determining foldable computing device posture information based at least in part on the hinge angle and the screen activity of each of the displays, determining a user facing display of the foldable computing device based at least in part on the device posture information and the screen activity of the displays, assigning differential weights to an illuminance value received from an illuminance sensor of the user facing display compared to an illuminance value received from an illuminance sensor of the non-user facing display and generating an aggregate weighted average illuminance by applying the differential weights to the illuminance values of each of the displays.

A camera system includes a camera, an illumination source, a first light sensor having a first light sensor output, and a second light sensor having a second light sensor output. A processor has inputs coupled to the camera's output, the first light sensor output, and the second light sensor output, and the processor has an output coupled to the input of the illumination source. The processor receives a first light signal from the first light sensor output, receive a second light signal from the second light sensor output, determine a first weight for the first light signal and a second weight for the second light signal based on a difference between the first and second light signals, calculate a weighted average of the first and second light signals using the first and second weights, and determine whether to turn on the illumination source based on the weighted average.

A photoplethysmography front-end receiver is capable of eliminating an error in the estimation of an ambient-light current. The receiver includes a current-to-voltage conversion circuit, an integrator, a switch circuit, and an analog-to-digital converter (ADC). The current-to-voltage conversion circuit converts an input current into a differential voltage signal. The integrator receives the differential voltage signal and outputs an analog output voltage. The switch circuit is set between the current-to-voltage conversion circuit and the integrator, forwards the differential voltage signal to the integrator in a first duration when a controllable light source is turned on, and forwards an inverted signal of the differential voltage signal to the integrator in a second duration when the controllable light source is turned off, wherein the second duration is after or before the first duration. The ADC generates a digital signal for analysis according to the analog output voltage after the second duration.

An optical detector module can be used to implement proximity sensing function by detecting ambient light outside of the optical detector module in accordance with a first detection threshold. An optical detector module can be further used to implement other active functions such as material detection (e.g., skin) or depth-sensing by emitting one or more optical signals (e.g., light pulses at a specific wavelength) and detecting the reflected optical signals relative to a second and/or third detection threshold. The disclosure provides technical solutions for actively monitoring detection threshold(s) of an optical detector module to achieve better power management. In some embodiments, such solutions are useful for photodetectors having a wide sensing bandwidth, such as a photodetector formed in germanium or a photodetector comprising an absorption region comprising germanium.