240results about "Automatic recalibration" patented technology

Positional information of a movable body in a Y-axis direction is measured using an interferometer and an encoder whose short-term stability of measurement values excels when compared with the interferometer, and based on the measurement results, a predetermined calibration operation for obtaining correction information for correcting measurement values of the encoder is performed. Accordingly, by using measurement values of the interferometer, correction information for correcting the measurement values of the encoder whose short-term stability of the measurement values excels the interferometer is obtained. Then, based on the measurement values of the encoder and the correction information, the movable body is driven in the Y-axis direction with good precision.

Methods and systems for capacitive proximity and contact sensing employ one or more simple sensors (which may be a conductive fiber or pattern of conductive ink) in communication with a microcontroller. Digital signal processing executed by the microcontroller enables resolution enhancement, automatic and continuous calibration, noise reduction, pattern recognition and the configuration of virtual sensors capable of detecting how an object incorporating the sensors is being manipulated.

A meter that monitors usage of a water distribution system by a client is provided. The meter includes a wireless communications system operable to communicatively couple the meter to a wireless network to provide two-way communication between the meter and the wireless network; a calibration system operable to calibrate the meter, wherein the calibration system may calibrate the meter in response to an instruction received via the wireless network; and a power system operable to maintain a sufficient level of power for the meter to allow substantially real-time communication between the meter and the wireless network.

A system for calibrating and / or verifying system performance of a remote portable EEG system having at least one EEG sensor. Embodiments of the invention can provide various reference signals to calibrate and quality control the remote performance of the data acquisition EEG system. In addition a calibration cable connects a reference signal source to the EEG sensors to enable remote calibration and quality control assessment. Further, a diagnostic biomarker is included to assess the state or function of a subject's brain and enables the classification, prognosis, diagnosis, monitoring of treatment, or response to therapy applied to the brain by measuring any one of a list of candidate features extracted from a given cognitive or sensory task, and measuring changes in the EEG feature and task combination over time, among multiple states, or compared to a normative database.

System comprising a sensor assembly (3, 4, 5, 6) adapted to measure a magnetic field, and a moveable element (1) adapted to be moved relative to the sensor assembly between two positions by a combined axial and rotational movement, the rotational movement having a pre-determined relationship to the axial movement. A magnet (3) is mounted to the moveable element and configured to generate a spatial magnetic field which relative to the sensor assembly varies corresponding to both the axial and rotational movement of the magnet and thus the moveable element. A processor is configured to determine on the basis of measured values for the magnetic field an axial position of the moveable element.

System comprising a sensor assembly adapted to measure a magnetic field, and a moveable element adapted to be moved relative to the sensor assembly between two positions by a combined axial and rotational movement, the rotational movement having a pre-determined relationship to the axial movement. A magnet is mounted to the moveable element and configured to generate a spatial magnetic field which relative to the sensor assembly varies corresponding to both the axial and rotational movement of the magnet and thus the moveable element. A processor is configured to determine on the basis of measured values for the magnetic field an axial position of the moveable element.

An adaptive automobile meter detection method based on character segmentation cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the contour analysis method, establishes a pointer information list; constructs a character segmentation cascade classifier by combining a HOG / SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation cascade classifiers is used to identify the digit character area of the automobile meter. Region analysis is performed to extract tick marks based on the center of the digit character area. The angular position corresponding to the tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail. The invention is suitable for the field of visual inspection of automobile meter pointers.

The invention discloses a self-adaptive automobile instrument detection method based on character segmentation cascaded quadratic classifier, relating to the automobile instrument pointer visual detection technology field. In order to solve problems of a current instrument detection system in the automobile instrument detection field, the self-adaptive automobile instrument detection method basedon character segmentation cascading performs threshold segmentation on an original image and performs analysis processing on morphology and a connected domain, adopts a method based on couture analysis method to finely extract pointers, establishes a pointer information list, constructs a character segmentation cascading quadratic classifier consisting of an HOG / SVM quadratic classifier, a character filter and a CNN digital classifier which are connected in a cascaded mode, adopts the cascaded quadratic classifier to identify a number character area of the instrument, performs local analysis to extract scale points with the number character area as a center, determines a position of an angle corresponding to the scale point, establishes a Newton interpolation linear description relation between the instrument pointer angle and a response value and determines whether the instrument is qualified. The self-adaptive automobile instrument detection method based on the character segmentationcascaded quadratic classifier is applied to the automobile instrument pointer vision detection field.

A system and method are disclosed including an automatic sensor excitation voltage adjustment feature, a multi-range concentration feature, and a single calibration feature. The automatic sensor excitation voltage adjustment feature may include a transmitter having an associated microprocessor that provides an initial voltage to an associated sensor. The sensor may include a microprocessor, and as the voltage changes a correction signal may be relayed from the sensor microprocessor to the transmitter microprocessor. The correction signal may be used by the transmitter microprocessor to adjust the voltage applied to the sensor. The multi-range concentration sensor feature may include an amplifier associated with the sensor / microprocessor to create gain settings used to optimize sensor resolution by changing a gain value associated with the sensor. This, in turn, enables a single sensor to be used for a variety of different concentration ranges, as desired by a user. The single calibration feature enables a sensor to be calibrated at a single gas concentration value, and thereafter be used for a variety of different concentration range applications. Other embodiments are described and claimed.

A self-calibrating key sensor system is constituted by an optical modulator, optical position transducers, a data accumulator and a data analyzer, and the optical modulator has a gray scale section to produce a key position signal varied together with the keystroke and an absolute data section to produce a calibration signal representative of a strictly adjusted distance between transparent areas of the absolute data section; the data accumulator accumulates discrete values of the calibration signal and discrete values of the key position signal together with the sampling time, and the data analyzer determines the gradient of the key position signal on the basis of peaks of the calibration signal produced at both ends of the strictly adjusted distance so as to estimate the true distance between the rest and end positions.

A capacitive sensor with a calibration mechanism is provided. The capacitive sensor includes a set of sensing capacitors to generate a capacitance variation, a subtraction circuit and an integration circuit. The subtraction circuit includes a first capacitor array to generate offset-adjusting charges and a second capacitor array to generate subtraction charges according to an initial offset and a sensitivity of the sensing capacitors respectively. The integration circuit includes two input ends, wherein one of them is connected to the sensing capacitors and the subtraction circuit. During a sensing period, the integration circuit performs integration according to the capacitance variation and performs cancellation of the effect of the initial offset according to the offset-adjusting charges to generate an integration output signal that is continuously subtracted by the subtraction charges during a computing period to generate a subtraction count. A capacitive sensing method is disclosed herein as well.

A system for calibrating sensors includes at least one computer server configured to be in communication with at least one uncalibrated sensor and at least one calibrated sensor, and a calibration module stored on the server. The calibration module may be configured to receive calibrated sensor data from the at least one calibrated sensor, and output calibration data to the at least one uncalibrated sensor.

A voltage isolation buffer, comprising a pilot channel having a first Hall effect element and a data channel having a second Hall effect element is disclosed. The pilot channel is preferably AC coupled, and the data channel is preferably DC coupled. The voltage isolation buffer may comprise a means for calibration, which may be configurable to calibrate the voltage generated by the second Hall effect element based on the information from the first Hall effect element. A bi-directional voltage isolation buffer is also disclosed, comprising a first integrated circuit and a second integrated circuit. The first integrated circuit comprises a DC coupled Hall effect sensor and an AC coupled Hall effect sensor. The second integrated circuit comprises an AC coupled Hall effect sensor and a DC coupled Hall effect sensor. A method for transmitting data across a voltage isolation barrier is also disclosed comprising the steps of generating a first Hall voltage signal, AC coupling the first Hall voltage signal, generating a second Hall voltage signal, DC coupling the second Hall voltage signal, and calibrating the second Hall voltage signal, wherein the step of calibrating is controlled by the first Hall voltage signal.

A biaxial magnetoresistive angle sensor with a corresponding calibration method for magnetic field error correction, comprising two single-axis magnetoresistive angle sensors for detecting an external magnetic field in an X-axis direction and a Y-axis direction that are perpendicular to each other, a unit for calculating a vector magnitude of the voltage outputs of the single-axis magnetoresistive angle sensors along the X axis and the Y axis in real time, a unit for calculating a difference between a known calibration vector magnitude and the measured vector magnitude, a unit for dividing the difference by the square root of 2 in order to calculate an error signal, a unit for adding the error signal to the X-axis output and the Y-axis output respectively or subtracting the error signal from the X-axis output and the Y-axis output in order to calculate the calibrated output signals of the X-axis and the Y-axis angle sensors, a unit for calculating an arc tangent of a factor obtained by dividing the calibrated Y-axis output signal by the calibrated X-axis output signal to provide a rotation angle of the external magnetic field. This method for applying the magnetic field error calibration to the biaxial magnetoresistive angle sensor reduces the measurement error and expands the magnetic field application range in addition to improving the measurement precision in a high magnetic field.

A method and an apparatus for calibrating a MEMS actuator of a hybrid MEMS-PLC optical switch or router is described. Two calibrating waveguides, embedded monolithically adjacent to the waveguides that provide the PLC output functions, are used for referencing a MEMS mirror tilt angle by maximizing optical coupling of light, reflected off the MEMS mirror, into one or each of the two calibrating waveguides. The input light is provided by either a waveguide carrying a live optical signal, or by a special input waveguide, coupled to an LED, for providing a calibrating light. Two emitting waveguides, embedded monolithically adjacent to the waveguides that provide the PLC input functions, can be used.

The invention provides an automatic calibration method of a sensor and a batch calibration device. The automatic calibration method realizes automatic calibration of the sensor through two large links including pre-calibration and main calibration, wherein at a pre-calibration phase, configuration parameters of a sensor regulation chip of the sensor are calculated and determined; the main calibration comprises the steps of stabilizing sensor output to a needed output value through regulating a compensation amount on the basis of the pre-calibration and obtaining a calibration compensation value by adopting an approximation algorithm. Only external excitation with minimum and maximum measuring ranges needs to be applied for one time, calibration of the sensor can be finished; corresponding physical connection expansion can be carried out according to the quantity of a sensor system needing to be calibrated to perform batch calibration on the plurality of sensor systems.

The invention relates to a measured value acquisition and processing unit (5) that facilitates the acquisition and processing of very small measuring signals in the range of interfering signals, such as, for example, noise, spillovers, etc. This means that the useful values to be detected usually contain interfering portions. The inventive measured value acquisition and processing unit (5) separately acquires these interfering portions by means of a switch element (10) disposed in the area of feed of the measured signals by means of which the measuring circuit is short-circuited in such a manner that the measured signal is not coupled in but only interfering signals that might occur in the measuring circuit are detected. The inventive method provides a large range of dynamic ratio for the detection of measured values at low costs.

A method for automatically calibrating an engine camshaft sensor, the sensor measuring variations in magnetic field value and delivering an electrical signal having a high state after the passage of the values of the magnetic field above the switching threshold on a rising edge and a low state after the passage of the values of the magnetic field below the switching threshold on a falling edge. After the passage of the values of the magnetic field above the switching threshold and measuring a new maximum value, the electrical signal remains in a high state as long as the magnetic field values are higher than a hysteresis threshold, which is dependent on the amplitude of the magnetic field calculated with the measured new maximum value; after the passage of the values of the magnetic field below the hysteresis threshold, a new switching threshold is calculated according to the new maximum value.