55results about How to "Reduce the possibility of false detection" patented technology

The invention relates to a method for improving the accuracy of a geomagnetic parking stall detector, which comprises the following steps: (1) acquiring a temperature characteristic curve of a geomagnetic sensor; (2) recording an initialized temperature value and data of the geomagnetic sensor when initializing the geomagnetic parking stall detector; (3) reading data of a current temperature sensor and the geomagnetic parking stall detector in real time; (4) judging whether the ambient temperature difference of a current temperature value and the initialized temperature value exceeds a temperature threshold or not and executing the step (6) if the ambient temperature does not exceed the temperature threshold; (5) carrying out temperature compensation on the data of the current geomagnetic sensor according to the temperature characteristic curve to obtain data of the geomagnetic sensor subjected to the temperature compensation; and (6) judging whether vehicles exist or not according to the data of the geomagnetic sensor. The invention solves the problem that mistaken detection on the geomagnetic sensor caused by the environment influence, unidirectional read of the geomagnetic sensor and read shake, improves the accuracy of the geomagnetic parking stall detection as well as the practicability and the reliability of the geomagnetic parking stall detector in an environment with larger temperature change.

The invention belongs to the technical field of computer network security, and relates to an anti-attack reliable wireless sensor network node positioning method. In ordinary positioning methods, nodes to be positioned are easy to attack by malicious nodes, so the positioning effects of the nodes are influenced. By the reliable positioning method provided by the invention, Sybil attacks and wormhole attacks can be resisted at the same time. The method comprises that: a beacon node estimates the smallest hop number between the beacon node and other beacon nodes; the beacon node estimates an average hop distance among the nodes; the nodes cooperate with one another to detect attack nodes in a network; and unknown nodes estimate own coordinates. Compared with the prior art, the invention improves the attack resistance of the wireless sensor nodes in a positioning process, reduces positioning errors in an environment with the malicious nodes, and reduces the communication cost and calculation cost of the nodes as much as possible in the positioning method by fully combining the characteristic that the energy of the wireless sensor nodes is finite.

An equipment and method for sending user equipment identification and user information comprises the following steps: the network transfers a first part bit display identified by the user equipment; the network transfers a second part bit identified by the user equipment through added CRC bit implicit. Using the method of the present invention, it can decrease bit spending while sending information, and reduce the probability of error detection at the same time.

The invention provides an automatic detection method for a brake shoe borer loss fault of a railway wagon. Firstly, an area classifier, a positioning classifier and a fault judgment classifier are trained firstly; a brake shoe borer image to be tested is segmented through the area classifier, in the areas obtained after segmentation, a multi-level multiple-cascade-connection detection concept is adopted, a brake shoe borer is positioned through the positioning classifier, whether the brake shoe borer is lost or not is judged through the fault judgment classifier, and fully automatic detection on the brake shoe borer loss fault of the railway wagon is realized. By means of the automatic detection method for the brake shoe borer loss fault of the railway wagon, the fault detection rate reaches 99 percent, the detection speed reaches five frames / second, and the actual application requirement is met.

The invention provides an arc detection method, a household electrical appliance and a computer readable storage medium. The method comprises the following steps that: current signals are obtained, asampling period is divided into a plurality of calculation periods, and the amplitude of a high-frequency signal layer in the current signals is obtained; the accumulated value of the amplitude of thehigh-frequency signal layer of the current signals in each calculation period is calculated, whether the maximum value in the accumulated values corresponding to the plurality of calculation periodsis greater than a preset threshold value or not in one sampling period is judged, and if the maximum value in the accumulated values corresponding to the plurality of calculation periods is greater than the preset threshold value, it is determined that the sampling period is an abnormal sampling period; and whether the abnormal sampling period meets a preset abnormal condition or not in a preset time period is judged, and if the abnormal sampling period meets the preset abnormal condition, arc fault alarm information is sent. The invention further provides a household electrical appliance applying the method and a computer readable storage medium for realizing the method. With the arc detection method, the household electrical appliance and the computer readable storage medium of the invention adopted, the sensitivity and accuracy of arc detection can be improved.

The invention discloses a multi-feature weight adaptive shadow elimination method. The method is characterized by, to begin with, obtaining a background image of a video frame image to be processed and an initial foreground region; then, obtaining foreground masks corresponding to chrominance, spectrum direction and texture features; starting from different angles, setting a quality evaluation function of a foreground segmentation image; carrying out quality evaluation on the foreground masks under different features; setting fusion coefficient of the three foreground masks according to the evaluation results and carrying out weight fusion to obtain corresponding time domain foreground probability spectrum; and carrying out constraint on the current detection result through time domain relativity to realize the multi-feature weight adaptive vehicle shadow elimination method. The method prevents the problem that features cannot make up disadvantages of each other in a single-feature or multi-feature cascade method; and while extracting all shadows as far as possible, shadow false detection is reduced, and vehicle shadows can be eliminated more completely and accurately.

There is provided a quality evaluation device capable of evaluating the quality of fruits-vegetables with a high accuracy. The transmitting light from an object (M) to be measured is received by a light reception sensor of charge accumulation type. Charge is accumulated in the light reception sensor from the accumulation start timing until the time set for accumulation has elapsed. After this, an electric charge accumulation discharge processing for discharging the electric charge accumulated in the light reception sensor until the time set for discharge has elapsed is repeatedly performed. When the object (M) reaches the measurement position, the charge accumulated is discharged. After this, a measurement charge accumulation processing is performed for accumulating charge used as light reception information for quality evaluation. Furthermore, the quality evaluation device includes: a light reception section (2) for receiving near-infrared light projected from a projection section (1) to the object to be measured by performing spectral analysis; and a calculation section for calculating a quality value of the fruit-vegetable in accordance with the received light information from the light reception section (2) and a measurement equation. This calculation section is configured so as to perform wavelength calibration in accordance with the received light information obtained when a reference body for wavelength calibration is measured. The measurement equation is created with a smaller resolution than the maximum resolution of the received light information decided in accordance with the number of unit light reception sections. The wavelength calibration performed by using the received light information is performed with a smaller resolution than the resolution required for creating the measurement equation.

The invention provides a refrigerator delivery inspection method and device and a refrigerator, and the method comprises the steps: identifying the refrigerator model of a to-be-detected refrigerator,and determining a detection program corresponding to the refrigerator model; turning on the to-be-detected refrigerator, and performing the detection program; determining in real time the ambient temperature of an environment where the to-be-detected refrigerator is located during the first preset time after executing the detection program, and comparing the ambient temperature at any time and the temperature of an internal sensor of the to-be-detected refrigerator; determining that the to-be-detected refrigerator is qualified if the difference between the ambient temperature and the temperature of the internal sensor is within a preset temperature difference range, or else determining that the to-be-detected refrigerator is unqualified. Through the technical scheme of the invention, themethod can achieve the quick and effective detection of the overall performance and state of the refrigerator through comparing the ambient temperature at any time with the temperature of the internalsensor of the to-be-detected refrigerator, and judges whether the to-be-detected refrigerator is qualified or not in a short time period. Moreover, the operation is convenient, and the method improves the efficiency of the delivery inspection of the refrigerator and the detection accuracy.

An objective of the present invention is to reduce, beyond a circumstance wherein this configuration is not present, the possibility of erroneous detection when searching for target cells by image processing from a captured image wherein target cells having nuclei are image captured. A captured image acquisition unit (22) acquires a captured image wherein a specimen including target cells having nuclei are image captured. A pixel extraction unit (24) extracts from pixels which are included in the captured image a pixel which is a nucleus candidate. A connected pixel group extraction unit (26) extracts a connected pixel group which is configured from pixels of a predetermined number of pixels or greater wherein mutually adjacent pixels are connected. On the basis of an image feature value which is identified on the basis of a brightness distribution for each of a plurality of mutually different color components within a region which encompasses at least a portion of the connected pixel group, and a condition of an image feature value which is mechanically learned on the basis of a brightness distribution for each of a plurality of mutually different color components within a sample image of the target cells, a possibility identification unit (40) identifies a value which denotes a possibility that the target cells are included in the regions.

The present invention provides a distributed frequency spectrum sensing system in wireless communication system. The distributed frequency spectrum comprises the following components: a plurality of frequency spectrum sensing functional units which are used for respectively generating a plurality of frequency spectrum sensing outputs that have respective trust degree measures and transmitting the plurality of frequency spectrum sensing outputs to the channel selection functional unit; and the channel selection functional unit which is used for generating the available channel list and unavailable channel list according to the plurality of frequency spectrum sensing outputs which are transmitted from the plurality of frequency spectrum sensing functional lists and have respective trust degree measures.

The invention discloses a space-time multiple feature based vehicle shadow eliminating method. A background image and an initial foreground area of a video frame to be processed are obtained, a foreground mask layer of chroma, spectrum direction and texture features is obtained, weighted summation is carried out to obtain a spatial-domain multi-feature foreground probabilistic spectrum image, time-domain filtering of a time sliding window is carried out on the spatial-domain multi-feature foreground probabilistic spectrum image to obtain a corresponding time-domain foreground probabilistic spectrum, the time-domain foreground probabilistic spectrum is weighted to obtain a final foreground mask layer, and vehicle shadows are eliminated from a video frame image. Compared with a traditional shadow removing method based on a single feature and multi-feature cascading, the shadows are removed more effectively, and a foreground contour is more complete. Both higher shadow identification rate and higher shadow detection ratio are ensured.

The invention relates to a shell leakage testing clamp. The shell leakage testing clamp comprises stand columns and a clamp body arranged at the upper ends of the stand columns. Pneumatic pressing devices are arranged on the front portion, the rear portion and the left portion of the clamp body respectively. A supporting and positioning device is arranged in the middle of the clamp body. A nozzle sealing device is arranged on the right portion of the clamp body. The shell leakage testing clamp has the advantages of being reasonable in structural design, high in automation degree, convenient to operate and regulate and the like, can rapidly clamp and position an automobile water pump shell, and is high in operation efficiency and accurate in positioning and clamping accuracy; the sealing performance of the sealing position is ensured, and therefore detection quality can be improved, and the possibility of wrong detection can be lowered.

Provided is a signal processing device that can reduce erroneous detections stemming from movements of an object other than a detection subject. The signal processing device (2) performs signal processing of a sensor signal from a radio sensor (1). A parameter adjustment unit (14) alters parameters that adjust the detection sensitivity of objects during a recognition process. Also, on the basis of a sensitivity level set by a level setting unit (13), the parameter adjustment unit (14) sets parameters in a manner such that the object detection sensitivity becomes higher when the sensitivity level is high and sets parameters in a manner such that the object detection sensitivity becomes lower when the sensitivity level is low.

An indirect-heating hot water apparatus is designed to correctly detect clogging in a secondary water circuit at low costs. A hot water apparatus 100 is provided with: a primary water circuit 27 in which water heated by absorbing heat from a refrigerant at a heat exchanger 21 circulates; a secondary water circuit 28 connected to the primary water circuit 27 via a heat exchanger 23, in which water circulates; and a tank 26 connected to the secondary water circuit 28, in which the water circulating in the secondary water circuit 28 is stored. The hot water apparatus 100 detects the temperature of the water circulating in the primary water circuit 27 and the temperature of the water stored in the tank 26. When the temperature of the water circulating in the primary water circuit 27 is at or above a first threshold and the temperature of the water stored in the tank 26 is at or below a second threshold, the hot water apparatus 100 issues a notification indicating that the secondary water circuit 28 is clogged.

The invention provides an image processing method, an image processing device and an image processing system. The image processing method can detect detection objects such as nostrils of a driver and the like with high precision in a system using an on-vehicle camera as an example which is arranged on a vehicle and is used for shooting images of the face of the driver. The detection objects are diversified by various detection methods such as the following method and the like comprising the steps of: taking positions in a vertical direction during image shooting as candidates; detecting a plurality of positions; detecting the ranges of the candidates as the detection objects based on the brightness of pixels by aiming at pixel arrays arranged in a horizontal direction corresponding to each detected position respectively; and according to the lengths of the detected ranges, determining the detection objects from the candidates of the detection objects.

A railway wagon sleeper beam hole foreign matter detection method belongs to the technical field of railway wagon detection. The invention aims to solve the problems of poor stability and low precision of a manual detection method and the problem of high false alarm rate of an existing deep learning method. The method comprises: acquiring a sleeper beam hole position image as an image D; predicting the image D by using the trained segmentation model network; if no foreign matter exists in the image, processing the next image; otherwise, carrying out corrosion expansion operation, and marking the foreign matter prediction binary image as B; positioning the sleeper beam hole part according to the image D to obtain a positioned binary image, namely an image A; multiplying the pixel value points of the foreign matter prediction binary image B and the positioning binary image A, and adding to obtain a value c; and carrying out judgment, if c is not larger than the foreign matter judgment threshold m, proving that no foreign matter exists in the sleeper beam hole area, and otherwise proving that no foreign matter exists in the sleeper beam hole area. The method is mainly used for foreignmatter detection of railway wagon sleeper beam holes.

The invention provides an electric vacuum cleaner which has low cost and simple structure and could detect the abnormal electrical spark with high accuracy and prevent the error detection owing to instant voltage drop or power failure. The electric vacuum cleaner comprises: a current detector (5) for detecting AC flowing into an electric blower (2) and a voltage detector (15) for detecting the power supply voltage; when waveform of the AC flowing to the electric blower (2) has a cycle in an unelectrified state at least in the half-wave period and the power supply voltage is not beyond the prescribed value, the electric quantity of the electric blower (2) is reduced to the prescribed value or the electric blower is stopped to operate; and it determines that the current is flowing or not according to a half-wave loss detection so as to detect the abnormal electrical spark. The current detector installed in the electric vacuum cleaner brings a low cost structure.

The invention provides a battery protection integrated circuit, a battery protection apparatus and a battery pack so as to reduce erroneous detections of the control signal generated on the basis of a potential of the negative terminal coupled to the ground of the load. The battery protection integrated circuit for protecting a secondary battery by controlling a charge or discharge operation of the secondary battery is powered by a secondary battery, the battery protection integrated circuit comprising: a power supply terminal connected to a positive electrode of the secondary battery; a ground terminal connected to a negative electrode of the secondary battery; an input terminal connected to a negative terminal that is coupled to ground of a load; a control terminal at which a control signal is input, wherein the control signal has a voltage level with reference to a potential at the negative terminal; a signal detection circuit configured to detect a relative voltage level of the control signal input at the control terminal with reference to a potential at the input terminal; and a control circuit configured to control a switching circuit that is connected to a charge or discharge path between the negative electrode and the negative terminal based on the control signal detected by the signal detection circuit.

The invention relates to the technical field of quality detection of tinplate. The invention aims at providing a double-sided quality detection method for tinplate, which has high efficiency and can prevent miss-detection. The invention adopts the technical scheme that the double-sided quality detection method for tinplate comprises the following steps: a, printing of two-dimensional codes: printing a two-dimensional code in every image-text period on the outer surface of the tinplate in the process of printing the tinplate by a plate-printing machine; b, removal of contamination: blowing off contamination from the inner surface and outer surface of the tinplate by using two high-pressure air rifles which are respectively positioned above and below the delivering surface of a conveying device of the discharge end of the plate-printing machine; c, image shooting; and d, processing of image information. The double-sided quality detection method for tinplate reduces the possibility of miss-detection, is convenient for reconstructing used equipment, and also reduces the data processing quantity of an industrial personal computer and energy consumption of a first industrial camera and a second industrial camera.

Provided are an image processing method, an image processing system, an image processing device and a computer program for detecting a detection object such as nares of the driver with a high degree of accuracy in, for example, a system using an in-vehicle camera which is mounted on a vehicle and takes an image of the face of the driver. A detection object is diversified by a variety of detection methods such as a method for detecting a plurality of locations in the vertical direction as candidates during image pickup of an image, detecting a range to be a candidate of a detection object on the basis of the brightness of a pixel for each of rows of pixels lined up in the horizontal direction corresponding to each detected location and specifying a detection object from candidates of a detection object on the basis of the length of the detected range.

The invention belongs to the technical field of pile foundation engineering, and discloses a construction device of pile foundation engineering and a control method and system of the construction device. The construction device of the pile foundation engineering comprises a cylindrical protective cylinder which is perpendicular to the ground, a hook is arranged at the upper end of the inner cylinder wall of the cylindrical protective cylinder, and is clamped at the edge of the cylindrical protective cylinder, a supporting plate is arranged below an adjustable main rod, and an early warning device is fixed at the upper end of the adjustable main rod. According to the device, the height of the liquid level in the cylindrical protective cylinder is judged through the arrangement of the adjustable main rod, the over-pouring height is automatically controlled, the early warning device is connected with the adjustable main rod and performs early warning when arranged on the adjustable main rod, a concrete liquid level detection module assists in judging whether liquid level detection results are abnormal or not according to concrete pressure change conditions, the possibility of false detection of the concrete liquid level detection is reduced, and the device is suitable for various concrete engineering constructions, and has wide adaptability and economy.

The invention discloses a battery expansion detection method, a battery module and electronic equipment. The battery expansion detection method comprises the steps of: obtaining an internal resistance growth rate and a first pressure difference of a battery; determining a first expansion rate of the battery according to the internal resistance growth rate, and determining a second expansion rate of the battery according to the first pressure difference; and determining the expansion rate of the battery according to the first expansion rate and the second expansion rate. The corresponding expansion rate of the battery is determined according to the internal resistance growth rate and the first pressure difference, possible expansion of the battery can be found in the monitoring process of the battery, and then the expansion rate of the battery is determined according to the two corresponding expansion rates and serves as an actual value of the expansion rate of the battery. By adopting the method for respectively determining the corresponding expansion rate by adopting the internal resistance growth rate and the first pressure difference, the possibility of battery expansion rate detection errors caused by adopting single data for estimation can be reduced, and the effectiveness of battery expansion rate detection is improved.

The embodiment of the invention provides a target object detection method and device, electronic equipment and a computer storage medium, and the method comprises the steps: carrying out the target tracking of a target object when determining that a mechanical arm picks up the target object from any one turnover box, and the height of the target object is greater than the height of any one turnover box, and obtaining real-time position information of the target object; and when it is determined that the target object falls off from the mechanical arm according to real-time position information of the target object, determining the area where the falling point of the target object is located according to position information of the target object at the current moment and area position information, wherein the area position information comprises areas where all types of turnover boxes are located.

The invention belongs to the technical field of pipeline detection, and particularly relates to a connecting pipe air tightness detection device which comprises a supporting plate, a holding assembly and two detection assemblies. The holding assembly and the two detection assemblies are arranged on the supporting plate, an air outlet of a detection electromagnetic valve of each detection assembly is connected with one opening of a detection tee joint through an air pipe, and a second opening of the detection tee joint is connected with a barometer. The detection outer cylinder is connected to a cylinder push rod of the detection cylinder, the detection outer cylinder is provided with a long-strip hole, the detection inner cylinder is provided with an interface, the detection spring and the detection inner cylinder are sequentially installed in the detection outer cylinder, and the detection straight joint penetrates through the long-strip hole in the detection outer cylinder and is connected with the interface in the detection inner cylinder. A long connecting pipe is arranged at the end, away from the detection spring, of the detection inner cylinder and penetrates through the other end of the detection outer cylinder, and a third opening of the detection tee joint is connected with the detection straight joint through an air pipe. According to the invention, automatic detection of the air tightness of the connecting pipe is realized, and the detection quality is improved.

There is provided a quality evaluation device capable of evaluating the quality of fruits-vegetables with a high accuracy. The transmitting light from an object (M) to be measured is received by a light reception sensor of charge accumulation type. Charge is accumulated in the light reception sensor from the accumulation start timing until the time set for accumulation has elapsed. After this, anelectric charge accumulation discharge processing for discharging the electric charge accumulated in the light reception sensor until the time set for discharge has elapsed is repeatedly performed. When the object (M) reaches the measurement position, the charge accumulated is discharged. After this, a measurement charge accumulation processing is performed for accumulating charge used as light reception information for quality evaluation. Furthermore, the quality evaluation device includes: a light reception section (2) for receiving near-infrared light projected from a projection section (1)to the object to be measured by performing spectral analysis; and a calculation section for calculating a quality value of the fruit-vegetable in accordance with the received light information from the light reception section (2) and a measurement equation. This calculation section is configured so as to perform wavelength calibration in accordance with the received light information obtained when a reference body for wavelength calibration is measured. The measurement equation is created with a smaller resolution than the maximum resolution of the received light information decided in accordance with the number of unit light reception sections. The wavelength calibration performed by using the received light information is performed with a smaller resolution than the resolution requiredfor creating the measurement equation.

The invention discloses a method for detecting the state of a wafer cleaning and drying module. The method comprises the following steps: acquiring a standard image of a normally placed wafer; preprocessing the standard image to obtain a standard image contour of the normally placed wafer; acquiring parameters of a standard image contour; obtaining a to-be-detected image; preprocessing the to-be-detected image, judging whether a wafer exists or not, and if the wafer exists, obtaining the contour of the to-be-detected image; acquiring parameters of the contour of the to-be-detected image; and comparing the parameters of the to-be-detected image contour with the parameters of the standard image contour, judging whether the difference value is within a set range, and if the difference value exceeds a set threshold value, judging that the wafer is inclined. The invention further discloses a wafer cleaning and drying module state detection device. The invention also discloses chemical mechanical planarization equipment. According to the invention, real-time detection of whether the wafer exists or not and whether the wafer is inclined or not is realized, the detection accuracy is high, and the detection time is short.

The invention provides a method and device for detecting a ticket pretending behavior, and the method comprises the steps: obtaining the authentication flow between internal network equipment and domain control equipment, and executing at least one of the detection of a transmitted ticket pretending behavior, the detection of a gold ticket pretending behavior and the detection of an MS14-068 vulnerability utilization behavior. According to the method and the device, the detection of the transmitted ticket counterfeit behavior, the detection of the gold ticket counterfeit behavior and the detection of the MS14-068 vulnerability utilization behavior are determined according to the attack means adopted by the attacker, so each of the executed detection methods for detecting the transferred ticket fake behavior, detecting the gold ticket fake behavior and detecting the MS14068 vulnerability utilization behavior has relatively high accuracy, and furthermore, the detection result of the embodiment has relatively high accuracy (the possibility of missing detection and false detection is relatively low).

The invention provides an image processing method, an image processing device and an image processing system. The image processing method can detect detection objects such as nostrils of a driver and the like with high precision in a system using an on-vehicle camera as an example which is arranged on a vehicle and is used for shooting images of the face of the driver. The detection objects are diversified by various detection methods such as the following method and the like comprising the steps of: taking positions in a vertical direction during image shooting as candidates; detecting a plurality of positions; detecting the ranges of the candidates as the detection objects based on the brightness of pixels by aiming at pixel arrays arranged in a horizontal direction corresponding to each detected position respectively; and according to the lengths of the detected ranges, determining the detection objects from the candidates of the detection objects.