Abstract:
Provided are a light intensity detection circuit, a light intensity detection method and an light intensity detection apparatus. The light intensity detection circuit includes a photoelectric conversion sub-circuit, a source follower sub-circuit, a reset sub-circuit, a read sub-circuit and a sense sub-circuit. The photoelectric conversion sub-circuit generates a corresponding electrical signal according to an incident light signal, and outputs it to a first node; the source follower sub-circuit generates a corresponding voltage signal or current signal according to the electrical signal of the first node and outputs it to a second node; the read sub-circuit reads the voltage signal or current signal of the second node to determine an incident light intensity; the reset sub-circuit provides a voltage at a offset voltage terminal to the first node.
Abstract:
A data output device is provided. The data output device includes a converter circuit configured to generate a conversion signal based on an output signal; a boosting circuit configured to generate a boosting signal based on the output signal; and an output circuit configured to generate the output signal based on an input signal and a feedback signal, the feedback signal being based on the conversion signal and the boosting signal.
Abstract:
Embodiments of the present invention can be implemented to (i) verify that a liquid within a turbidity measuring device during an assay process is of the same origin of that upon which the assay was performed, (ii) verify a flow through the turbidity measuring device including, but not limited to, a turbidimeter, a nephelometer, a fluorimeter, or the like, and (iii) enact an alteration to measurement step(s) and/or determination step(s) of an assay process in correlation with one or more variables associated with the liquid sample including, but not limited to, flow rate, temperature, and pressure to reduce a standard error of the assay.
Abstract:
A security device in an electronic device which protects against unauthorized disassembly includes light sources, a plurality of photosensitive elements, a detection unit, a storage unit, a processor, and light guiding devices. Light conducting channels are provided between the light sources and the induction elements. Barrier objects that block light are installed at certain first light guiding channels of the light guiding channels, and are removed from the first light conducting channels when the electronic device is disassembled, so that induction signals output by the photosensitive elements are changed from the model or original digitally-recorded signals.
Abstract:
A control device with automatic adjustment includes: an ambient light illumination sensor for sensing ambient light illumination information; and a microcontroller unit coupled to the ambient light illumination sensor. The microcontroller unit analyzes respective ambient illumination information at each of a plurality of time sessions. The microcontroller unit controls a controlled device based on the respective ambient illumination information at the time sessions.
Abstract:
A method and a lighting control system for automatically determining a calibration curve for use in daylight harvesting applications. The lighting control system comprises a light sensor configured for recording light levels and a load controller configured for provide a dimmed output to a lighting load. The calibration curve comprises a calibration slope (SC) defined by a calibration coordinate (CC) and a night coordinate (CN). The calibration coordinate (CC) comprises a calibration dimming level (DC) set by a user and a calibration light level (LC) recorded by the light sensor when the lighting load is set to the calibration dimming level (DC). The night coordinate (CN) comprises a night scene dimming level (DN) and a night scene light level (LN), wherein the night scene light level (LN) comprises a difference between a sunlight plus night scene light level (LNS) recorded by the light sensor when the lighting load is set to the night scene dimming level (DN) and a sunlight level (LS) recorded by the light sensor when the lighting load is turned off.
Abstract:
A system with a machine and a lighting device. The machine includes an image capture device and a machine vision processing system configured to detect a characteristic of a subject in a space for an operation of the machine. The lighting device includes a first light source for generating light to illuminate the space, and a second light source for generating light of a particular wavelength to support detection of the characteristic of the subject via the machine vision processing system. The light of the particular wavelength is output at a sufficient intensity reasonably expected to produce a particular emission from the subject detectable via the image capture device different from an emission produced by exposure of the subject to the light for illumination of the space. The first and second light sources are integrated into the lighting device.
Abstract:
An imaging system includes an array of photodetectors and electronic circuitry associated with the photodetectors to read intensity values from the photodetectors. The electronic circuitry can include an integrator with an integrator capacitor having a nominal capacitance, wherein a gain of the electronic circuitry associated with a photodetector can depend at least in part on the actual capacitance of the integrator capacitor, the actual capacitance differing from the nominal capacitance. The imaging system can be configured to determine a gain factor that depends at least in part on the actual capacitance and/or a signal voltage input to the integrator. The imaging system can be configured to apply the gain factor based at least in part on the actual capacitance of the integrator capacitor calculated. The imaging system can be a thermal imaging system and may include an infrared camera core.
Abstract:
The invention provides a high resolution, wide dynamic range, multi-color detection platform for microfluidic analyzers/instruments and methods. The detection platform uses multiple high gain semiconductor optical sensors for the detection of luminescence from cellular or biological samples. The digitized outputs from these sensors are combined and weighted in a signal processing unit, using pre-determined algorithms for each color, which optimize the resolution in each of these high gain semiconductor optical sensors while extending the dynamic range of the detection platform.
Abstract:
A user-wearable device includes a front facing first light detector and a backside optical sensor, which faces the user's skin and includes a light source and a second light detector. The device also includes a skin tone detector and an ultraviolet (UV) exposure detector. The UV exposure detector is adapted to determine estimate(s) of a user's exposure to UV light in dependence on signal(s) produced using the first light detector, calibrate UV exposure threshold(s) in dependence on a skin tone metric produced using the skin tone detector, compare estimate(s) of a user's exposure to UV light to calibrated UV exposure threshold(s), and selectively trigger an alert in dependence on results of the comparison(s). The second light detector is also used to produce a photoplethysmography (PPG) signal from which measures heart rate (HR), heart rate variability (HRV), respiration rate (RR) or respiratory sinus arrhythmia (RSA) is/are produced.