A photoelectric conversion device for detecting the spot size of incident light, includes a photoelectric conversion element having a photoelectric conversion substrate with two main surfaces, and first and second sensitivity section sections; and scanners that relatively scan incident light on the main surfaces of the photoelectric conversion element. When a sensitivity region on a main surface of the first sensitivity section is defined as a first sensitivity region and sensitivity regions that appear on a main surface of the second sensitivity sections are defined as second sensitivity regions, the first sensitivity region receives at least part of the light incident on the main surface during scanning, and has a pattern in which, in accordance with enlargement of an irradiation region irradiated with incident light on the main surface, the proportion of the first sensitivity region with respect to the second sensitivity regions in the irradiation region is decreased.

A system for determining a characteristic of a laser includes a collection housing receiving a laser beam comprising a first pulse, a second pulse and a time period between the first pulse and the second pulse. A photon counting detector receives photons from the laser beam disposed to generate photon signals from the laser beam and generating a start signal. A fast diode generates a stop signal to provide a time reference of counted photons ns. A controller is coupled to the photon counting detector and the fast diode. The controller counts photons from the photon counting detector occurring during the time period between the first and second pulse and generates a first output signal corresponding to a power during the time period between the first pulse and the second pulse.

Given the complexity of architectural spaces and the need to calculate spherical irradiances, it is difficult to determine how much ultraviolet radiation is necessary to adequately kill airborne pathogens. An interior environment with luminaires is modeled. Spherical irradiance meters are positioned in the model and the direct and indirect spherical irradiance is calculated for each sensor. From this, an irradiance field is interpolated for a volume of interest, and using known fluence response values for killing pathogens, a reduction in the pathogens is predicted. Based on the predicted reduction, spaces are built accordingly, and ultraviolet luminaires are installed and controlled.

Embodiments of the present disclosure provide methods and apparatuses for detecting an ambient light illuminance and for computing a correction coefficient, and an electronic device. The method for detecting an ambient light illuminance includes: filtering ambient light based on a monochromatic channel, such that a quantum effect curve of the filtered light matches a spectral luminous efficiency curve; and performing photoelectric detection on the filtered light to obtain an illuminance level of the ambient light. In solutions of the embodiments of the present disclosure, the photoelectric detection may be equivalent to obtaining an illuminance level of light by convolutional computation based on a spectral luminous efficiency curve, and therefore, when a quantum effect curve for a monochromatic waveband obtained by filtering ambient light based on a monochromatic channel matches the spectral luminous efficiency curve, a reliable spectral luminous efficiency curve can be obtained with a small computing workload.

An optical measurement device includes an optical sensor which measures an optical waveform of a reference object or a measurement object, a learner which receives a first optical waveform of the reference object from the optical sensor and learns frequency characteristics of the first optical waveform, a filter generator which analyzes the frequency characteristics of the first optical waveform and generates a frequency filter, a frequency modeling unit which receives a second optical waveform of the measurement object from the optical sensor and models frequency characteristics of the second optical waveform, and an optical characteristic detector which calculates an optical characteristic index of the second optical waveform based on an output value of the frequency modeling unit and the frequency filter.

In one aspect, luminaires are described herein having sensor modules integrated therein. In one aspect, a luminaire described herein comprises a light emitting face including a LED assembly. A sensor module is integrated into the luminaire at a position at least partially overlapping the light emitting face. In another aspect, a luminaire described herein comprises a LED assembly and a driver assembly. A sensor module is integrated into the luminaire along or more convective air current pathways cooling the LED assembly or driver assembly.

Disclosed herein are methods, systems, and devices for providing optimized simultaneous illumination for human vision and machine based navigation vision on a semi-autonomous vehicle. In one embodiment, a system includes a first control output configured to provide first illumination control information including first active cycle times for a first illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision navigation of the semi-autonomous vehicle. The system further includes a second control output configured to provide second illumination control information including second active cycle times for a second illumination source. The second illumination source is configured to provide a second frequency band of illumination for a human driver of the semi-autonomous vehicle. The system further includes a first monitor input configured to receive ambient illumination information from a camera system.

Described herein is a method of evaluating artificial lighting of a surface. The method may comprise measuring a first lumen output at a first location on the surface at a first altitude. The method may further comprise photographing the surface from a second altitude to obtain an aerial photograph of the surface comprising a plurality of pixels, each pixel of the plurality of pixels having a second lumen output, and performing an altitude adjustment on the second lumen output to obtain a third lumen output. The method may comprise dividing the aerial photograph into a plurality of zones, each zone corresponding to a section of the surface. The method may further comprise establishing a user-defined threshold lumen output for each zone of the plurality of zones, and identifying a percentage of the total number of pixels in each zone which meets or exceeds the user-defined threshold lumen output.

A laser protection system includes a high-power laser source, an optical diffuser, a photo detector, a signal-processing device, and a control module. The high-power laser source generates a first laser light beam, and the optical diffuser attenuates a laser power of the first laser light beam to form a second laser light beam. The photo detector obtains an optical detection signal from the second laser light beam. The signal-processing device includes a signal conversion module, a processor, and an encoder. The signal conversion module transforms the optical detection signal into a measurement data eigenvalue. The encoder encodes the measurement data eigenvalue into a measured encoded data, and the setting data eigenvalue into a set encoded data. The control module evaluates the set encoded data and the measured encoded data to determine whether or not the high-power laser source needs to be stopped.

Embodiments of the present disclosure relate to optical devices for augmented, virtual, and/or mixed reality applications. In one or more embodiments, an optical device metrology system is configured to measure a plurality of see-through metrics for optical devices.