333results about How to "Filter out noise" patented technology

A running safety monitor system for car is composed of a car-carried digital image information acquiring unit with a built-in digital camera, and a car-carried embedded computer platform with a systematic image processing and decision control unit. Its monitor method includes such steps as acquiring the real-time image of ambient environment, generating digital image information, processing and analyzing the image information, classifying, and alarming when the signal class reaches an alarm standard.

The invention discloses a laser visual tracking system, which mainly comprises an industrial personal computer, wherein a COM 1 (Component Object Model) port of the industrial personal computer is connected with an X axis motor and a Z axis motor through a motor control and drive circuit; output ends of the X-axis motor and the Z-axis motor are connected with a welding torque; the controller of the welding torque and a welding machine control circuit are connected with the industrial personal computer; the industrial personal computer is also connected with a laser sensor for acquiring information on the welding torque and a workpiece in real time and delivering the acquired information to the industrial personal computer; the laser sensor is a visual sensing module and mainly comprises a camera and a laser diode; the camera is vertically aligned with the workpiece; a laser is slantwise arranged and forms an angle of 30 degrees with the laser; laser emitted by the laser irradiates the workpiece to form a narrow light strip; after the light strip is reflected or refracted by the workpiece, the light strip enters the camera to image, and the image is transferred to the industrial personal computer for processing; after the image is analyzed and processed by the industrial personal computer, an action command is emitted to the welding torque, the X-axis motor and the Z-axis motor.

The invention provides a wireless and ultrasonic composite location system and a location method for the wireless and ultrasonic composite location system, wherein the wireless and ultrasonic composite location system comprises a plurality of beacon modules with fixed positions, at least one mobile location module and an electronic location platform; each of the beacon modules comprises a first wireless receiving and sending module, an ultrasonic transmitting module and a first intelligent processing module; the mobile location module is arranged on a mobile object, and comprises a second wireless receiving and sending module, an ultrasonic receiving array, an array processing module and a central processer; the electronic location platform is used for building an electronic map and sending the electronic map to the mobile location module, and is also used for coordinating the synchronization of the beacon modules and the mobile location module. The invention also comprises the location method for the wireless and ultrasonic composite location system. By adopting the system and the method, the problems of multipath effect and none-line-of-sight are solved, the measurement precision is improved, and the theoretical precision of less than 0.1mm can be reached.

The invention discloses an equalizing charge method and an equalizing charger. The equalizing charge method comprises the following steps: (1) connecting N (N is integer and is more than or equal to 2) single batteries in a battery pack in parallel; (2) independently and quickly charging the N single batteries at the same time; and (3) after the single batteries meet the charge requirement, finishing charging the battery pack. The equalizing charge method of the invention changes the series discharge mode of the single batteries of the battery pack into a parallel mode to independently charge the batteries of the battery pack, thus independently controlling the charge process of the single batteries to ensure equalizing charge for the single batteries. The charger of the invention uses a single chip control center as the core, and simply and precisely realizes independent charge and independent control of the single batteries.

The invention relates to a robot location navigation system and navigation method. The robot location navigation system comprises a plurality of beacon modules, at least one robot location terminal and an electronic navigation platform; each beacon module comprises a first wireless receiving-transmitting module, an ultrasonic transmitting module and a first intelligent processing module; each robot location terminal comprises a second wireless receiving-transmitting module, an ultrasonic receiving array, an array processing module and a central processor; the electronic navigation platform is used for storing codes of all robots, establishing an electronic map, planning and calculating a motion target or path of the robot as well a position of the beacon module and dispatching the robot to avoid a barrier and also used for coordinating the synchronism of the beacon module and the robot location terminal and receiving position coordinate data uploaded by each robot location terminal. The invention also relates to a navigation method of the robot location navigation system. By adopting the robot location navigation system and navigation method, the multi-path effect and non-line-of-sight propagation problem can be solved, the measurement precision can be improved, and automatic location is implemented.

The invention relates to a power system transient stability evaluation method based on a deep learning technology. Firstly, a time domain simulation method is used to generate a sample set {x<0>, y<0>}; characteristic variable vectors are then extracted according to the sample set, and a training set {x<1>, y<0>} is formed, wherein the training set is the characteristic variable vector set; training parameters are determined, a stacked automatic encoder is trained based on the training set, characteristic extraction is carried out on the training set to generate a calculation set {x<2>, y<0>};and finally, based on the calculation set, classification model training is carried out on a convolution neural network, and a power system transient stability evaluation model is formed. The stackedautomatic encoder is used to carry out layer-by-layer characteristic extraction on the characteristic variable vectors, a hidden data mode is mined, high-order characteristics more facilitating transient stability evaluation are formed, the convolution neural network is further used to build a stable classification model, the evaluation performance of the model is thus ensured, the misjudgement rate of unstable samples can be reduced, noise interference in a wide area measurement system of the power system can be effectively overcome, and an important significance is provided for online safeand stable evaluation on the power system.

The invention discloses a far-distance human-body-hiding hazardous article detector based on the radar target polarization characteristic. The detector comprises a display control end, a signal processing and control module, a linear frequency modulation source module, a transceiving frequency doubling link module, a clock distributing module, a medium-frequency amplification filtering module and a signal acquisition module. The linear frequency modulation source module provides linear frequency modulation signals to the transceiving frequency doubling link module. The transceiving frequency doubling link module conducts frequency doubling and amplifying on the linear frequency modulation signals provided by the linear frequency modulation source module so that the frequency of the linear frequency modulation signals can reach the designated frequency band and the linear frequency modulation signals can irradiate a detected object, reflection echoes of the detected object are received, processed and then transmitted to the medium-frequency amplification filtering module and finally return to the display control end. The display control end counts the distribution of strength values of two perpendicular routes of echoes of the detected objects according to the received multi-acquisition data, so whether the detected object carries a hazardous article or not can be effectively detected, far-distance detection can be achieved, security check can be conducted on high-density people in open places, and the detected object does not need to cooperate actively.

The invention discloses a video motion characteristic extracting method based on local sparse constraint non-negative matrix factorization. The video motion characteristic extracting method mainly solves the problems that static background interference and flash points of a video cannot be filtrated, the convergence rate is low, and the factorization error is over-serious in the prior art. The video motion characteristic extracting method comprises the steps of: firstly converting a video into a video frame group by taking a target frame as the center, and converting the video frame group into a non-negative matrix; next, factorizing the non-negative matrix by a local sparse constraint non-negative matrix factorization method, carrying out sparse constraint on part of base matrix column vectors, and calculating a motion vector of the target frame through weighted summarization of the part of the base matrix column vectors undergoing sparse constraint and the corresponding coefficient matrixes; and finally converting the motion vector of the target frame into the motion characteristic of the target frame. The video motion characteristic extracting method disclosed by the invention is applicable to target tracking and video monitoring, and can be used for extracting the video motion characteristic quickly, accurately and effectively.

A device used for detecting touch of infrared touch screen uses foil gauge set at edge region of protective glass on touch screen as mechanical transducer to realize said detection. It is featured as connecting detected electromechanical signal to I / O interface of micro-controller after said signal is processed by signal processing circuit and applying said signal as necessary condition for judging occurrence of touch event in order to raise touch screen judgment accuracy on touch event.

The invention provides an infrared small target detection method and system based on an FPGA. Acquired images are preprocessed to be denoised and processed through blind pixel removal; a head image and a tail image are extracted; clutter edge filtering operation is carried out on the head image and the tail image; threshold segmentation operation is carried out on the head image and the tail image so that the images can be binary ; morphological expansion is carried out on the target in the head image processed through threshold segmentation and the target in the tail image processed through threshold segmentation, and targets with large contours are obtained; the head target processed through morphological expansion and the tail target processed through morphological expansion are synthesized so that a complete target can be obtained. According to the infrared small target detection method and system based on the FPGA, the signal-to-noise ratio can be increased by accumulating the superposition portions of a previous frame and a next frame, the interference of a background cloud layer can be well removed while the algorithm complexity is reduced, and the real time performance of the detection system can be improved while accuracy is guaranteed.

The application discloses a method for measuring oxygen saturation degree of blood, comprising the following steps of (1) direct current filtering and pre-processing the measured digital signals after analog-digital conversion; (2) wave filtering by an aliasing-resistant filter and signals extraction; (3) quick Fourier FFT transformation and elimination of motion interference signals; (4) calculation of oxygen saturation degree of blood. And after the elimination of motion interference signals and before the calculation of oxygen saturation degree of blood, a step can be added in the method, namely, the range of double frequency is more eliminated than that of base frequency; elimination of excursion by a lowpass can be also added in the method before the calculation of oxygen saturation degree of blood. The invention also discloses an instrument for measuring the oxygen saturation degree of blood with the method. The method and the instrument of the invention can quickly and effectively measure the oxygen saturation degree of blood, and an extraction technique is added in the invention, helping largely reduce the space for use and amount in calculation of an EMS memory. Waveshape recognition on the frequency domain helps filter the interference of motion state effectively and improve the accurateness of measurement by the instrument.

The invention relates to a vehicle object information detection and identification system and a signal processing method thereof. Two lane calibration aided leading marks of are placed in the same lane line, distance and phase information between the two lane calibration aided leading marks and a radar detector is measured and obtained by the radar detector, object detection is carried out on an object vehicle, the distance and speed of the object vehicle are obtained, and a signal processing system resolves lane information according to the distance and phase information of the two lane calibration aided leading marks. According to the invention, vehicle objects of intermediate or long distance can be tracked continuously under the condition that the radar detector is placed at random, the distance, speed and lane information of the vehicle object can be detected in high precision, detection of low false alarm rate and high precision can be realized for the moving vehicle object on the basis that the hardware processing complexity of the system is reduced, interference and clutters can be filtered effectively in complex application, and accurate lane identification is realized for the vehicle objects of intermediate or long distance under the condition that the direction of radar wave beams is not calibrated via professional calibration equipment.

The invention provides a device and a method for measuring attitude angle of a three-axis air-bearing table. The three-axis air-bearing table has a cursor measuring system installed on its table-board, and has a CCD vidicon mounted with bracket above the table; the CCD vidicon is connected with an image collection card via data cable; the image collection card is installed in a computer which is equipped with a wireless transmission device. The inventive method comprises steps of employing a black-and-white CCD vidicon suite to collect images of measure cursor system composed by infrared light emitting diodes which are performed infrared filtering; employing the computer vision theory and combining with the distance information between cursor dots to be measured to calculate the relative motion parameters that the air-bearing table board relatives to the CCD vidicon; and realizing three-axis air-bearing table attitude angle measurement via continuously obtained image array without touch, disturbance and with large range and high frequency. The invention also can perform attitude angle measurement of single-axis air-bearing table or five-freedom air-bearing table.

The invention belongs to the field of financial tools and discloses a multispectral image acquisition and processing method for a contact image sensor, aiming at solving the defects in the prior art that noise points exist in an acquired image, overall brightness difference between segments of the acquired image is great, and images of the same paper money under different light sources cannot synchronously acquired. The method comprises the following steps: an upper multiple-light-source CIS image sensor and a lower multiple-light-source CIS image sensor which are symmetrical to each other are arranged to acquire original images; acquired analog signals are subjected to filtering and then are sent to two independent A / D sampling modules to be quantized so as to obtain digital signals; the A / D sampling modules send the digital signals to a FPGA (Field Programmable Gate Array) for compensating, splicing, compressing and storing; the FPGA sends the signals to a main control chip; the main control chip puts the two-path information into two independent address areas of an external RAM (Random Access Memory) for caching; after whole images are acquired, a DSP (Digital Signal Processor) takes out the images from the external RAM to process. The multispectral image acquisition and processing method has the advantages that the acquired images have less noise; the images of the paper money under different light sources can be synchronously acquired; the acquired images are relatively smooth and the quality of the images is relatively high.

Disclosed in the invention is an image-vision-based lane line detection method. The method comprises the following steps: collecting a to-be-detected image and carrying out pretreatment on the to-be-detected image; on the basis of a geometrical feature of a lane line and a grey difference, carrying out lane line feature extraction and screening a lane line region; and sampling the lane line region and carrying out linear fitting on the collected data by using a random sampling consensus algorithm, thereby obtaining a lane line parameter by calculation. Using the method provided by the invention, the interference in a non-lane-line region in an image can be effectively filtered; the computing load is reduced substantially; the precision and the extraction speed of lane line parameters are improved; the robustness of the system is enhanced; and the accuracy is high.

The present invention relates to the technical field of communications. Disclosed are a method and an apparatus for inferring a social relationship, which can infer a real social relationship during inferring a social relationship between users. The method of the present invention comprises: acquiring activity data of at least two users, and determining activity events of the at least two users according to the activity data, the activity data comprising a site location, a time range, and sensor data; determining a common activity event according to the activity events; and determining a social relationship between the at least two users according to the common activity event. The present invention is applicable to a terminal device.

The invention relates to a method for controlling tooth brushing strength based on pressure detection and an electric toothbrush. The method is applied into the electric toothbrushes. The electric toothbrush comprises a motor vibration detection module, a processing module and a motor control module, wherein the processing module is electrically connected with the motor vibration detection module,and is electrically connected with the motor control module. When the electric toothbrush is set in the working state, the processing module is used for obtaining the current pressure value on bristles of the electric toothbrush, and obtaining the motor vibration value of the motor in the electric toothbrush detected by the motor vibration detection module; the processing module is used for obtaining a target pressure value according to the current pressure value and the motor vibration value, and sending the target pressure value to the motor control module; the motor control module is usedfor controlling the motor to vibrate according to the vibration parameters matched with the target pressure value. The method and the electric toothbrush have the advantage that the tooth brushing strength is automatically controlled within the proper range, so as to solve the problem of unhealth of teeth due to overhigh or overlow tooth brushing strength.

The invention relates to the field of immuno-chromatographic detection, in particular to a quantitative detection calculation method based on fluorescent immuno-chromatographic technology. The method includes the steps: inserting a fluorescent immuno-chromatographic test strip dripping sample solution to be measured into a fluorescent immunity analyzer; irradiating by the aid of LED (light-emitting diode) light sources; performing light filtering treatment by the aid of a light filter; detecting by the aid of a photoelectric detector; treating electric signals; performing AD conversion treatment; performing filtering algorithm treatment; performing baseline fitting; performing peak searching treatment; calculating T / C area ratio; calculating concentration; judging by the aid of calculated concentration results. The invention provides a perfect, rapid and quantitative detection calculation method based on the fluorescent immuno-chromatographic technologies. Various noise and signal interference can be filtered when concentration of objects to be measured is detected and calculated, and accurate detection results are improved. The method has the advantages of high accuracy and stability and low power consumption, and rapid and quantitative detection requirements of users are effectively met.

The invention discloses an intrinsic-safe type electronic detonator initiation system. An intrinsic-safe type protective circuit is arranged in a control system of the detonator, comprising an anti-interference circuit, a low-voltage DC conversion protecting circuit, a surge protecting circuit and an insulation stabilizing initiation control circuit, wherein, the surge protecting circuit is arranged between an electronic detonator energy-storage capacitor and an SCM control circuit, the output of the surge protecting circuit is communicated to the serial interface of the SCM control circuit through a level shifter circuit and an MAX485 chip and the input terminal of the surge protecting circuit is connected with the output terminal of the energy-storage capacitor; the low-voltage DC conversion protecting circuit and a voltage-stabilizing protecting circuit are arranged between the energy-storage capacitor and the initiation circuit of the electronic detonator; and simultaneously the insulation voltage-stabilizing circuit is arranged between the energy-storage capacitor and an electronic switch of the initiation circuit of the detonator.

The invention discloses an automatic object tracking method for dome cameras. During a detection phase, moving objects are detected for a current monitoring scene; after the moving objects are detected, an object is determined as a tracking object, position information of the tracking object is obtained, and then the tracking object position information is sent to a dome camera; and the dome camera quickly turns to the tracking object to make the tracking object be in the central area of the monitoring screen. The above process is called as the detection phase. During the detection phase, thedome camera does not make a zooming action. During a tracking phase, the moving object detection is performed on the current monitoring scene; after the moving objects are detected, an object is determined as a tracking object, the position information of the tracking object is obtained, and then the tracking object position information is sent to the dome camera; and the dome camera rapidly turnsto the tracking object through control by a cloud terrace and makes the tracking object in the central area of the monitoring screen and automatically changes the zoom during the rotation according to the area of a moving area of the tracking object, so as to make the tracking object more clear in the central area of the monitoring screen.

The present invention discloses a method for detecting the cable connecting of the outdoor unit of the intelligent antenna, which settles the problem that the connecting sequence can not be detected when the intelligent antenna array is connected with the front unit of the outdoor radio frequency by a radio frequency coaxial cable in the TD-SCDMA communication system. The invention presents a method for confirming the connecting sequence of the corresponding cable according to the estimated data of the communication channel, changing the complexor sequence in the antenna array direction, searching the maximum value of the energy in the air space, and the antennae array direction complexor sequence which corresponds with the maximum value. The present invention effectively settles the problem of detecting the connecting sequence of the of the radio frequency cable in the realizing of the intelligent antenna project; the detecting sequence of the present cable can be accurately detected while the upgoing communication channel is adopted to process the data according to the criterion that the space detecting receiving power is maximum traversing all the cables at the condition that the calculating difficulty is effectively controlled; the smooth arithmetic is adapted for the originality, the noise and disturbance are sieved and the correctness of the detecting arithmetic is increased.

The present invention provides a water quality monitoring data online processing method and device. The method comprises the steps of: obtaining a spectrum curve of water quality to be detected, setting a standard water quality spectrum curve as a reference, employing an autocorrelation function to calculate a related peak distance between the spectrum curve of water quality to be detected and thestandard water quality spectrum curve, and according to the related peak distance and sampling intervals, performing dynamic calibration of the spectrum curve of water quality to be detected; and performing noise removing processing of the spectrum curve after the dynamic calibration by employing a dual tree complex wavelet transform method, a threshold de-noising method and a dual tree complex wavelet inverse transform method, filtering the interference of noise signals, and finally, measuring a water quality reference value through a spectrometer according to the spectrum signals after noise removing process. Therefore, the spectrum signals with good repeatability can be obtained, the interference of water quality detection from outside environmental noise is avoided, and the accuracy of water quality detection is improved.

The embodiment of the invention discloses an image data processing method and device. The method comprises the following steps: obtaining the original image information including a target object; detecting a plurality of pixel points in the original image information based on a first neural network model; and setting a corresponding mask value for each pixel point according to the detection result; dividing the original image information according to the pixel value and the mask value of each pixel point in the original image information to obtain a foreground area including the pixel point having the first mask value as a target area corresponding to the target object; identifying the target object in the target area, and determining the corresponding physical sign classification information of the target object according to the recognition result; and searching material information matching with physical sign classification information is searched, and integrating the searched material information to generate the first virtual character data corresponding to the target object. By adopting the invention, the identification efficiency and the identification accuracy of the data canbe improved, and the display effect of the image data can be enriched.

The invention discloses a method for measuring the yaw velocity of a vehicle by filtering based on wavelet transformation, which is suitable for measuring the yaw velocity of an automobile of which front wheels are steering wheels and back wheels are non-steering wheels. The method comprises the following steps of: firstly, measuring the wheel speeds of the two non-steering wheels, removing a gross wheel speed error with a median filtering method and further calculating the non-filtered yaw velocity of the vehicle according to the motion relation of planar composite motion and wheel speeds subjected to median filtering; secondly, performing seven-layer wavelet decomposition on the non-filtered yaw velocity of the vehicle by using a 'sym8' wavelet basis according to a wavelet transformation theory and performing threshold value quantification on a high-frequency coefficient with a soft-threshold method; and lastly, performing reverse wavelet transformation by using a seventh layer low-frequency coefficient and the high-frequency coefficient which is subjected to threshold value quantification and reconstructing to obtain high-accuracy filtered yaw velocity.

The invention discloses a dynamic adjustment first-order lag filtering method with high sensitivity. The method comprises the steps of adjusting a filtering coefficient; judging a data change direction of this time; judging whether to accelerate response shake elimination count or not and updating a filtering counter; judging whether the filtering counter reaches the maximum or not; updating the filtering coefficient; and the like. According to the method, the constraint of a hardware condition can be removed, and the defect that the sensitivity and stability cannot be taken into considerationat the same time in a traditional first-order lag filtering method is overcome.

The invention discloses a fault diagnosis method based on MED and fuzzy entropy for the vibration signals of a planetary gearbox, comprising steps of: build a wind turbine experiment device and collecting the vibration signals of the planetary gearbox through the wind turbine experiment device; denoising the vibration signals of the planetary gearbox with MED; performing EMD decomposition on the vibration signals of the planetary gearbox, eliminating the invalid components, and obtaining a plurality of effective IMF components, then calculating the fuzzy entropy value of each effective IMF component and retaining the IMF component with the smallest fuzzy entropy value; and performing the envelope spectrum analysis on the signals of the IMF components with the smallest fuzzy entropy value,to analyze the characteristic frequency of the fault. The fault diagnosis method based on MED and fuzzy entropy for the vibration signals of a planetary gearbox can effectively extract the characteristic frequency of the fault, and can effectively filter the interference of the noise on the characteristic frequency, thereby effectively eliminating the adverse effects of the modal aliasing and theend effect on the fault diagnosis of the planetary gearbox signals.

The invention discloses a current type terahertz pyroelectricity detector reading circuit, and belongs to the field of terahertz detecting and imaging. The reading circuit comprises a current-voltage converter, a 50Hz trap circuit, a first-order lowpass filtering amplifying circuit and an electric potential raising module. Signals output by the terahertz pyroelectricity detector are input into the current-voltage converter so that the current signals can be converted into voltage signals; the signals output by the current-voltage converter are input into the 50Hz trap circuit so that power frequency interference can be eliminated; the signals output by the 50Hz trap circuit are input into the first-order lowpass filtering amplifying circuit so that the signals can be further amplified; the signals output by the first-order lowpass filtering amplifying circuit are input into the electric potential raising module so that a voltage can be raised and the voltage signals output by the circuit can be matched with a voltage required by a rear digital collecting circuit. The voltage signals output by the circuit are pure, and the circuit is suitable for collecting and outputting a weak current of the terahertz pyroelectricity detector.

The invention discloses a giant magneto-impedance sensor device for detecting a distance, and the device comprises an exciting circuit, a sensitive element, a pre-amplification circuit, a frequency-mixing filter circuit, a final-stage amplification circuit, an analog / digital conversion circuit, a feedback circuit and a microprocessor, noise and interference can be removed by extracting base frequency and harmonic components from signals so that the measuring precision of the sensor is improved; because a design scheme is easily integrated and the sensor is convenient to miniaturize, the device is improved in reliability and the production cost is reduced. The invention further discloses a signal processing method based on the giant magneto-impedance sensor device, a signal processing model is created by signal base frequency and harmonic components, and the signal feature of any object is measured such that the distance between the object and the sensor can be obtained through inversion calculation. Through the signal base frequency, the second harmonic components and the multi-feature signals, the device can avoid to only use a linear region, thus the measuring range of the sensor is greatly expanded when the measuring precision is improved.

The invention discloses an obstacle detection method based on laser radar and millimeter wave radar deep fusion, and the method comprises the following steps of: 1, carrying out preprocessing and target extraction on original point cloud data of a laser radar, and carrying out combined online calibration on the two items; 2, eliminating a millimeter wave radar false alarm sensing model; 3, comparing the millimeter wave returned distance information of an obstacle with the laser radar returned point distance information so as to filter the interference of rain, fog and dust; and 4, removing false detection information of the millimeter wave radar and the laser radar based on the step 3 and the step 4. According to the obstacle detection method based on laser radar and millimeter wave radardeep fusion, high-precision detection based on laser radar and millimeter wave radar deep fusion can be effectively realized through setting of the steps 1 to 4.

In order to solve a problem of a detection blind region in a range finding device of a non-coaxial optical structure, the invention discloses a small optical range finding device, a range finding method, a range finding system and a TIR lens. The small optical range finding device comprises an infrared light emitting module, a receiving module and a signal processing and controlling module. The signal processing and controlling module is connected with the infrared light emitting module and the receiving module. The infrared light emitting module emits infrared detection light which is reflected when meeting an object. The receiving module receives infrared detection light reflected by the object, and converts optical signals into electric signals. The signal processing and controlling signal calculates the distance between the small optical range finding device and the object based on a flight time method. The TIR lens equipped with a light guiding structure is arranged on an infrared detection optical path given out by the infrared light emitting module. The light guiding structure is a groove which is arranged in a position, near one side of the receiving module, of a light emitting face the TIR lens.