672results about How to "Statistically accurate" patented technology

A robot having a signal sensor configured to measure a signal, a motion sensor configured to measure a relative change in pose, a local correlation component configured to correlate the signal with the position and / or orientation of the robot in a local region including the robot's current position, and a localization component configured to apply a filter to estimate the position and optionally the orientation of the robot based at least on a location reported by the motion sensor, a signal detected by the signal sensor, and the signal predicted by the local correlation component. The local correlation component and / or the localization component may take into account rotational variability of the signal sensor and other parameters related to time and pose dependent variability in how the signal and motion sensor perform. Each estimated pose may be used to formulate new or updated navigational or operational instructions for the robot.

The invention discloses a method and system for matching features of human bodies and MAC (medium access control) addresses. The method comprises the following steps: receiving a video image within a monitoring range, acquiring face images and / or body images, extracting face features or body features, respectively clustering the face features or the body features into face clusters or body clusters, correlating and clustering the face clusters or the body clusters of a same person and acquiring a movement trajectory of each of the human bodies; acquiring MAC records of mobile equipment, storing the MAC records into a MAC diary database and drawing a movement trajectory of the mobile equipment; acquiring and traversing each of the human bodies according to the movement trajectory of each of the human bodies, calculating the times cij of successful matching of each of the human bodies and each of mobile equipment in the movement trajectory and the times of appearance of each of the mobile equipment within the time period of the movement trajectory and acquiring matching rate of each of the human bodies and the equipment according to the a specific value. According to the method and the system, matching is realized by MAC and the face features or the body features, and the identities of the human bodies corresponding to the MAC addresses are acquired by taking the human bodies as mediums, so as to realize the correlation of the identities, the images and the MAC addresses.

A method of constructing an enveloping mesh geometry (EMG) for a plurality of sample mesh geometries (MG). The enveloping mesh geometry is a geometric representation of the mean of the probability distribution underlying the sample space from which the enveloping mesh geometry (MG) have been drawn. The method is based on estimating probability densities fj using the kernel density method. The method further comprises constructing, based on the enveloping mesh geometry (EMG) so constructed, further enveloping mesh geometries (EMG-α) related to the α-Quantiles of the probability distribution. The enveloping mesh geometries (EMG, MG-α) are suitable for development and test procedures in aircraft and automotive manufacturing processes.

The embodiment of the invention provides a garbage classification method, device and system. The problem that the garbage classification effect needs to be improved in the prior art is solved. The garbage classification method includes the steps that identity information of a user is verified and the user passing the verification is registered as a legal user; a garbage bag acquisition request sent by the user and the identity information of the user sending the garbage bag acquisition request are received; whether the user sending the garbage bag acquisition request is a legal user or not is judged, if yes, a garbage bag issuing permission control instruction is sent to a garbage bag issuing machine, and the garbage bag issuing machine issues garbage bags with class labels to the legal user; and control instruction execution feedback sent by the garbage bag issuing machine is received and a unique identification code is correlated with the identity information of the user sending the garbage bag acquisition request and then stored. By the utilization of the garbage classification method, device and system, user garbage classification convenience can be remarkably improved, implementation is convenient, and application and popularization are easy.

The invention provides a multi-scene pedestrian volume counting method and system based on stereoscopic vision and a binocular camera. The pedestrian volume counting method is based on binocular stereoscopic vision, and comprises the following steps: firstly, correcting a binocular image shot by a row-parallel binocular camera to obtain an epipolar-line-parallel binocular image; secondly, performing stereo matching on the corrected binocular image to obtain a parallax image; thirdly, detecting pedestrian targets in the obtained parallax image; and lastly, tracking and counting the targets according to the attribute features of the detection targets. The pedestrian volume counting system consists of the binocular camera, a DSP binocular acquisition and video processing module, a network transmission module and a terminal data analysis module. Through adoption of the pedestrian volume counting method and system provided by the invention, the number of people in different pedestrian volume entrance and exit scenes can be accurately counted, and data support is provided for a decision maker.

The invention provides a control method for capturing product identification through a mobile terminal and further capturing advertising information relevant to the product. The control method includes a step for capturing product identification information through the mobile terminal, a step for capturing the relevant advertising information according to the product identification information, a step for showing the advertising information, and a step for sending advertisement and issuing statistical information. The product identification information is loaded on various carriers, such as two-dimension codes, strip codes, and the like. The invention provides an auxiliary control method for counting the product identification and the relevant advertising information captured through the mobile terminal, and the auxiliary control method comprises a step for capturing the shown information of the advertising information and a step for updating advertising statistical data. The invention also provides a control device for capturing product identification in the mobile terminal and further capturing the advertising information relevant to the product, and an auxiliary control system which is used for counting the product identification obtained through the mobile terminal and the relevant advertising information. The invention can improve the activeness and the property of participation of users, thereby achieving the effect of issuing more advertisement.

A robot having a signal sensor configured to measure a signal, a motion sensor configured to measure a relative change in pose, a local correlation component configured to correlate the signal with the position and / or orientation of the robot in a local region including the robot's current position, and a localization component configured to apply a filter to estimate the position and optionally the orientation of the robot based at least on a location reported by the motion sensor, a signal detected by the signal sensor, and the signal predicted by the local correlation component. The local correlation component and / or the localization component may take into account rotational variability of the signal sensor and other parameters related to time and pose dependent variability in how the signal and motion sensor perform. Each estimated pose may be used to formulate new or updated navigational or operational instructions for the robot.

The invention discloses a method for calculating the flue gas flow of a coal-fired boiler in a heat-engine plant and a method for controlling pollutant discharge amount. The calculation method comprises the following steps: calculating the amount of dry flue gas generated by unit mass as-fired coal in the coal-fired boiler in the heat-engine plant; calculating the lower heating value of the as-fired coal; calculating the standard unit time coal consumption of the coal-fired boiler in the heat-engine plant; calculating the consumption of unit time as-fired coal in the coal-fired boiler in the heat-engine plant; calculating the flue gas flow of the coal-fired boiler. The control method comprises the following steps: calculating the pollutant discharge amount of a generator set in the heat-engine plant within a statistic time interval according to the flue gas flow of the coal-fired boiler in unit time, and comparing the pollutant discharge amount with a standard pollutant discharge amount; if the pollutant discharge amount of the coal-fired boiler is lower than the standard pollutant discharge amount, discharging flue gas; if the pollutant discharge amount of the generator set is higher than the standard pollutant discharge amount, controlling the pollutant discharge amount till the pollutant discharge amount is lower than the standard pollutant discharge amount. By adopting the calculation method, the amount of flue gas generated in the burning process of the coal-fired boiler in the heat-engine plant can be calculated more accurately, and the discharge amount of SO2, NOx and dust can be calculated more accurately.

The disclosure relates to a goods management method, device and system. The goods management system comprises a human body induction device, a goods cabinet, a goods identity recognition device, a payment device and a central controller, wherein the human body induction device is arranged in a shopping zone and is used for determining whether any user is in the shopping zone, the goods cabinet is arranged in the shopping zone and is used for displaying and selling goods, the good identity recognition device is used for identifying goods being sold, and the payment device is used for the user to make payments; the central controller is used for managing and controlling the human body induction device, the goods cabinet, the goods identity recognition device and the payment device that are all connected with the central controller. Via use of the goods management method, device and system, convenient unmanned self-help shopping can be realized.

The utility model provides an over-voltage analysis method and an insulating configuration method for a modularized multi-level flexible direct-current transmission system. By the steps of analyzing the over-voltage of the system, arranging an arrester and matching the insulation, various over-voltage of the modularized multi-level flexible direct-current transmission system can be exactly analyzed and calculated; an arrester configuration and parameter selection scheme is searched so as to further complete the insulation matching of system equipment; furthermore, the safety of the modularized multi-level flexible direct-current transmission system during the normal run, the failure period and the period after failure can be ensured, the charge of the whole system is the minimum, and the scheme can be used for guiding related technicians to complete the insulation matching analysis on the modularized multi-level flexible direct-current transmission system at high efficiency.

The invention discloses a network advertisement launching monitoring system and a network advertisement launching monitoring method. The network advertisement launching monitoring system comprises: a plurality of advertisement browsing terminals, an advertisement management unit, an investigation information generation unit used to generate the investigation information related to the content of advertisement data that the advertisement management unit sends to the advertisement browsing terminals and sends the investigation information to the advertisement browsing terminals in a form of an investigation questionnaire, an investigation evaluation unit used to evaluate the answers of advertisement browsers to the investigation information through the advertisement browsing terminals and generate an evaluation result, a browsing excitation execution unit which is connected with the investigation evaluation unit and the advertisement browsing terminals and is used to reward the advertisement browsers according to the evaluation result produced by the investigation evaluation unit. The system and the method can accurately evaluate and statisticize the effective advertisement clicking, provides an evaluation evidence for the validity of advertisement launchers to the launched advertisements, and also provides a reference evidence for the fact that the advertisement launchers pay the advertisement cost to the network communication media operators.

The invention discloses a revit three-dimensional platform-based pile foundation automatic generation and three-dimensional calculation method, which is realized based on software Microsoft excel, revit 2015, YJK 1.7.1.0 and DynamoInstall 0.8.0. The method comprises the following steps of generating a curved surface of a supporting layer; designing a pile; converting a model; and performing statistics on the length of the pile. According to the method, in a Revit three-dimensional design platform, a pile foundation can be automatically generated according to calculation or a CAD drawing and a three-dimensional model of the supporting layer and is subjected to three-dimensional calculation, wherein the supporting layer model is generated according to three-dimensional coordinates of geological exploration data by adopting visual programming software Dynamo; and the method is simple in operation, efficient in modeling and accurate in statistics.

The invention provides an image processing method and device. The method includes: acquiring a target image including algal cells; binarizing the target image to obtain a target gray image; extracting connected areas in the target gray image, and calculating area of each connected area; dividing preset algal area by the area of each connected area to obtain a quotient of each connected area; using a sum of the quotients of the connected areas, as the amount of the algal cells included in the target image. The algal cells intersecting together are not subjected to image splitting, thus, the number of the algal cells can be accurately counted, and accuracy of counting the algal cells is improved.

The invention provides a visitor flow monitoring method and device, a storage medium and equipment, and is applicable to the technical field of image processing. The method comprises the steps of obtaining a target image of a to-be-monitored pedestrian in a video image; extracting graphic features by using a model trained based on a deep residual network; classifying and positioning an unmanned area, a single person area and a crowd area in the target image by utilizing a crowd detection model; adopting a density regression model to obtain a head distribution density map of the crowd detectionclassification as a crowd area, and calculating the number of people in the crowd area according to the head distribution density map; and counting the number of people in the single person area andthe number of people in the crowd area in the crowd detection classification, and calculating the total number of people in the target image. When people flow is monitored, the number of people in thevideo image is counted based on the deep residual network in combination with crowd detection and density analysis, the number of people in the image can be counted accurately and rapidly, and the method has good robustness.

The invention relates to an ABTest system shunt optimizing method and system. The method comprises the steps of dividing an experimental area into different layers, and presetting experiment-associated user groups in each layer; obtaining access flow of a user; judging whether the user belongs to the experiment-associated user group in the current layer or not layer by layer; and if so, allocating the access flow of the user to a reference group or a test group of the experiment of the current layer. Through the ABTest system shunt optimizing method and system, the problems of flow interception and bias in the conventional single-layer ABTest system in performing multiple experiments are eliminated, so that the fair and rapid implementation of multiple experiments are ensured.

The invention discloses a smart city cloud street lamp system comprising a street lamp lighting device, a traffic signal lamp system, a real-time traffic information board, a personal mobile navigation terminal, and a cloud network processing center. The street lamp lighting device is integrated with a microwave detector and a high-speed digital processor, and the high-speed digital processor calculates vehicle speed and traffic information according to the information detected by the microwave detector and sends the vehicle speed and traffic information to the cloud network processing center. The personal mobile navigation terminal transmits the target location, preset driving route and real-time speed information of a vehicle equipped with the personal mobile navigation terminal to the cloud network processing center. The cloud network processing center carries out operation processing of the information transmitted by the street lamp lighting device and the personal mobile navigation terminal and then transmits the information to the traffic signal lamp system, the real-time traffic information board and the personal mobile navigation terminal. The system can actively induce vehicle shunting and automatically offer a quickest route to the vehicle owner.

The invention discloses an information management system for a mould enterprise. The information management system links various information sub-systems, including a PDM sub-system, a CAPP sub-system, an ERP sub-system and an OA sub-system, through a network to realize an integration of various designs, technologies, manufacturing and management software, and practically ensure the integration of the design, analysis and processing; the whole mould project conducts the managements from contracting, the formulation of a master production plan, the plan and operation of material demands, the purchase and management of standard parts and materials, outsourced management of multi-operation and single operation of moulds, inventory management and production workshop management, to formulate the production plan of workshop level, release the plan to a detailed machine tool and locksmith teams, make statistics for the completion and consumed work hours of every operation during the production process of the moulds in real time and realize the accurate statistics of costs; the information transfer between different departments overcomes lagged manual paper-based transfer, which truly achieves paperless office work, and not only saves office work expenses but also increases the transfer speed of the information.

The invention provides a method for automatically identifying cough. The method comprises the following steps of: (1) inputting voice signals in a PCM format; (2) performing endpoint detection on the voice signals in the PCM format, eliminating non-cough signals and taking the rest signals as candidate cough signals; (3) extracting characteristics of the candidate cough signals according to frames, and converting the characteristics into a 39-dimensional characteristic vector sequence; (4) training a hidden Markov model according to the extracted characteristic vector sequence, identifying the candidate cough signals and judging whether the candidate cough signals are cough signals; (5) counting the cough signals in a certain time period. The invention further provides a device for implementing the method, which comprises a voice input device, an identifier, an SD card, a display device and a group of buttons, wherein the voice input device, the SD card, the display device and the buttons are connected with the identifier respectively. The method and the device can realize real-time recording and automatic identification of the cough and analyze dynamic change characteristic of cough frequency and intensity.

The invention relates to a quasi-circular particulate matter counting method based on an Android platform, and belongs to the technical field of image processing. The method comprises the following steps that: firstly, on the basis of color difference characteristics, extracting a binary image which only contains quasi-circular particulates from a background; extracting an adhesive and overlappedparticulate block area from the image, and utilizing a segmentation method based on distance transformation and H-minima to carry out first-time segmentation on the particulate block area; and puttingforward a method for accurately extracting the surface holes of the particle matter, carrying out second-time watershed segmentation on the particulate block area of which the holes are filled, removing noise and a small quality of shadow areas through connected domain analysis, solving the minimum circumcircle of the outermost layer contour of each particulate, and drawing the minimum circumcircle on an original drawing, wherein the number of circles is the number of particulates. By use of the counting system disclosed by the invention, hardware use cost is lowered, excessive segmentation and wrong segmentation brought by a traditional segmentation method are inhibited to a great extent, a great quantity of tightly adhesive single-layer particulate matters and simple two-layer quasi-circular particulate matters can be accurately detected, and high counting accuracy and counting efficiency can be obtained.

A sensor array capable of collecting pressure point matrix of feet and direction of passengers getting on / off bus is setup at steps of bus door. A selected dot matrix scanning circuit scans and collects electric signal collected by the said sensor array. Obtaining the said electric signal, a passenger flow statistics module makes statistics for passenger flow getting on / off bus. The statistics for passenger flow will be sent to an information collection module, which recording, storing and displaying number of passenger flow. The system includes the passenger flow statistics module and the information collection module. The invention can make a statistics for passenger flow without limitation of direction and number of passenger. The system is workable in any small interval in passenger flow, for example: many passengers get on / off bus in both ways at same time.

The invention discloses a Revit-based construction engineering material cost budget method. The method particularly comprises the following steps: material types in need of statistics are determined; entry parameters of each material type are determined according to the material types; target attributes of a model are determined, and model entities in the entry parameters and matched with the target attributes are stored to a model set unit; each model in the model set unit is extracted one by one, and is written to a two-dimensional data statistics list; information of each row in the statistics list is extracted sequentially and is imported to a database, and a table form is formed; according to 13 list specifications used in a bidding project, coding lists for the table formed in the step 5 are found out correspondingly, sequential classification is then carried out according to list codes, and each code is thus corresponding to a corresponding information attribute; and according to the obtained code list, the cost budget is obtained. Construction engineering material cost budget for a reinforced concrete structure can be realized on a Revit platform.

The invention discloses a program audience information acquisition method which comprises the following steps: an image positioned at the anterior area of a display is acquired and video information is output when the display plays; face detection and face tracking analysis of the image of each frame in the video information are carried out to obtain the detection tracking information of each face; when the detection tracking information meets a preset judgment rule, a corresponding face is judges as an audience who can acquire program audience information. Accordingly, the invention also discloses a program audience information acquisition device and a program playing system. The program audience information acquisition method can quickly acquire more accurate program audience information to complete accurate and timely statistics of audience watching a program.

The invention discloses a detection circuit, a gate drive circuit and a display panel. The detection circuit is used for detecting the gate drive circuit and comprises at least one detection signal line and a detection control module; each clock signal line is corresponding to a detection signal line; the detection signal line is connected with an output end of a shift register unit; the detection control module comprises a clock signal input end and a detection signal input end; the clock signal input end is connected with each group of clock signal lines; the detection signal input end is connected with the detection signal line; the detection control module is used for comparing to determine whether the clock signal input into the shift register unit is consistent with the input signal input into the detection control module by the detection signal line corresponding to the clock signal line; and if the clock signal is inconsistent with the input signal, the detection control module outputs a fault signal. The shift register unit can be conveniently detected, the yield of the gate drive circuit is accurately judged, and the cost is saved.

The invention provides an identification method of a lighting shielding failure of an electric transmission line. The identification method is based on waveform characteristics of traveling wave current in on-line monitoring electric transmission line phase conductors and mainly includes performing on-line monitoring to the traveling wave current, extracting data of lightning stroke failure traveling wave current on a guide line, analyzing the waveform characteristics of the lightning stroke failure traveling wave current and determining that the electric transmission line has a lightning shielding failure if a section prior the maximum traveling wave current amplitude value responds to a like polarity small pulse which is directly connected with a main discharging pulse and the pulse response duration and the current amplitude value are within certain ranges. Compared with identification methods in prior art, the identification method is explicit in judgment thoughts and tested and verified by field data, so that the identification method is capable of accurately and effectively identifying whether a waveform current signal is a signal of the lighting shielding failure electric transmission line, effectively helping electric transmission line operating maintenance departments to judge lighting stroke failure properties of the line and know lightning stroke failure reasons, and scientifically guiding line lightning protection reconstruction.

A fruit surface defect detection method based on image marking includes the following steps that firstly, a surface picture of a to-be-detected fruit is taken and saved, and an original image is obtained; secondly; the original picture is uploaded to a server to be analyzed and processed; processing of the server includes the steps that a, the obtained original image is converted into a space where the visual system of human beings is applied, and an H component and an I component are extracted; b, dynamic threshold segmentation is performed on the H component; c, gray histogram statistics is performed on the I component, segmentation is performed through a fixed threshold method, and a threshold is selected between two wave peaks; d, the H value segmentation result and the I value segmentation result are operated, and a binary image with defect areas is obtained; denoising is performed on the obtained binary image; f, the binary image is enhanced, hole noise may exist in the defect areas, and filling is performed on the noise; g, the obtained binary image is marked, and the number and the area of defects are calculated; a detection result is output; labor intensity of workers is reduced, and production efficiency is improved.

The invention provides multi-lane vehicle flow counting method, device and equipment and a storage medium. The method herein comprises: acquiring first radial distances from radar to monitoring pointson lanes, wherein the radar is frequency modulated continuous wave millimeter radar; receiving reflected signals acquired by the radar from the lanes, subjecting the reflected signals and a local oscillator signal to frequency mixing to obtain medium-frequency signals, subjecting the medium-frequency signals to one-dimensional spectral analysis to obtain a first distance spectrum, acquiring a driving velocity and radar monitored distance of a target vehicle according to a preset distance amplitude threshold, the first distance spectrum, the first radial distances and a preset velocity amplitude threshold, and counting vehicle flows of the lanes within predetermined time according to the driving velocity and radar monitored distance of the target vehicle. The method, device and equipment and the storage medium can count vehicle flows of multiple lanes, response speed is high, and flow counting is accurate.

The invention relates to a traffic flow statistics method based on the image visual processing technology. Compared with the prior art, thedefect that comprehensive statistics of the traffic flow can not be achieved according to the video image technology is overcome. The traffic flow statistics method based on the image visual processing technology comprises the following steps of conducting pre-processing, wherein a virtual circle and a detection line are drawn for a detected lane, and manual statistics is conducted under the vehicle saturation condition; establishing an initial background image, wherein the background image BG is constructed according to the frame difference method; conducting vehicle monitoring and forming a vehicle binary image Object through a difference image DI; obtaining the image information of vehicles in the virtual circle; judging the state of the vehicle in the virtual circle, wherein whether vehicles exist in the virtual circle and the virtual circle is in a vehicle saturated state or not is judged by calculating the ratio of overlapped images to the detection line; conducting traffic flow statistics, wherein the traffic flow in the unsaturated state and the traffic flow in the saturated state are calculated, and thus a traffic flow statistics result is obtained. By the adoption of the traffic flow statistics method based on the image visual processing technology, the traffic flow in the unsaturated state can be obtained, the traffic flow in the saturated state can also be obtained, and the statistics result is more accurate.

The invention discloses a webpage access data statistical method and a webpage access data statistical device. The method includes collecting an initial dataset of user access page behaviors, wherein the initial dataset includes initial page browsing data of one or multiple user access target websites; extracting first-time access data of a user from the initial dataset; using a preset judging model to judge the first-time access data to acquire a judgment result; when the judgment result is opposite to a preset result of the preset judgment result, subjecting the first-time access data to forward-trace matching in the initial dataset to acquire associated access data; performing splicing and restoring on the initial dataset on the basis of the associated access data to acquire a restoration dataset. By the method and the device, the problem of poor accuracy in user recognition due to loss of Cookie information in the prior art is solved, and the objectives of accurate counting of user access page data, resisting of side effect brought by Cookie loss and serial connecting of behaviors of the user to restore real user behaviors are realized.

The invention discloses a vehicle information secure collection method applicable to fog computing in an intelligent traffic light system. The method comprises a setting step, a registering step, a difficulty distribution step, a certificate generation step and an information collection step. The method is characterized in that locations and the number of vehicles cannot be counterfeited; a fog computing device does not need too much computing and storage cost; the identity and location information of the vehicles will not be leaked to other vehicles and fog computing devices; the method is easy to deploy; and the vehicle information statistics is accurate.