92results about How to "Detection intelligence" patented technology

The invention discloses an indoor thermal comfort evaluation system, which is characterized in that by taking six parameters, namely the indoor air temperature, the air relative humidity, the air velocity and the black globe temperature collected by a sensor module and the human metabolic rate and the clothing thermal resistance input by a key module as the input signals, and establishing a simulation evaluation model in a singlechip module through a neural network, the PMV-PPD thermal environment comfort index is intelligently obtained. The indoor thermal comfort evaluation system has high integration degree, can objectively and intelligently evaluates the indoor thermal comfort, and effectively avoids the troublesome formula iterative operation.

The invention discloses a bearing defect automatic detection system based on multi-angle light source images. The bearing defect automatic detection system comprises an acquisition unit, a PC end processing unit, a data analysis unit, an intermediate processing unit and a defect detection unit. According to the system, image capturing detection is carried out under the multi-light-source illumination condition, the tiny error can be better detected, the problem of identifying a specific identifier on a bearing is solved, and detection is more intelligent. The system not only comprises softwarein the aspect of bearing image processing, but also independently builds a matched detection processing hardware framework, and simulates the industrial automatic bearing detection process, so that the whole system can smoothly run to achieve the purpose of automatically screening bearings, and meanwhile, the system is more suitable for practical application.

The invention provides a pedestrian monitoring method and device. The pedestrian monitoring method comprises the steps of obtaining videos; detecting one or more pedestrians in the videos; identifyingthe identity of each of the one or more pedestrians; determining the motion of at least one video frame having the pedestrian for each of one or more pedestrians; determining whether the pedestrian has abnormal behavior based on the pedestrian identity and the motion of at least one video frame having the pedestrian for each of one or more pedestrians. The invention is advantageous in that whether the pedestrian has abnormal behavior can be determined through comprehensively considering the identity and motion of the pedestrians; the abnormal behaviors can be detected in a more intelligent, highly-efficient and accurate manner; the safety of the area under monitoring can be effectively ensured.

The invention discloses a red light running detecting device and method based on video processing and belongs to the fields of image pattern recognition, video target tracking, intelligent video monitoring and intelligent transportation. The red light running detecting method comprises a license plate locating method based on edge information and color information and a vehicle target tracking method based on feature points of an angular point. According to the red light running detecting method, the most obvious partial characteristics of an image of a vehicle target are used as the basis of vehicle locating, relevance of the characteristics of a rigid body of the moving vehicle of multiple frames is used for tracking the vehicle, and therefore movement information of the vehicle target in a monitoring video can be accurately obtained. The red light running detecting device and method based on video processing can rapidly and accurately detect the position of a license plate of the vehicle in a monitoring video, can accurately obtain the movement information of the vehicle target, can intelligently achieve the function of vehicle running snapshot, can intelligently achieve the function that whether the vehicle runs on a required lane is judged, and is applicable to a red light running electronic police system, a public security access system, an abnormal-vehicle event detection and no-parking automatic fare collection system and the like.

The invention discloses a method, a device and a system for detecting food. The method for detecting the food comprises the following steps: receiving a detection signal transmitted by tableware, wherein the detection signal is generated by detecting the state of the food through a built-in sensor of the tableware; and processing the detection signal to generate a detection result, and displaying the detection result on a terminal screen. According to the method, the device and the system for detecting the food, the detection signal which is transmitted by the tableware is received, the detection signal is processed to generate the detection result, and the detection result is displayed on the terminal screen, so that the state of the food can be rapidly and intelligently detected, the state of the food can be acquired by a user in time, reliable evidence can be provided for the user to judge whether the food is safe to eat, and the diet health of people can be effectively guaranteed.

The invention discloses a POCT detection card transmission management system, which includes a manipulator mechanism, a manipulator displacement mechanism and a carrying tray mechanism for carrying POCT detection cards: the manipulator mechanism includes an upper manipulator arm and a lower manipulator arm that can be clamped or released; The manipulator shift mechanism includes a shift rod and a support rod. The manipulator mechanism is connected to the support rod, and moves up and down as the support rod moves left and right along the shift rod or up and down with the support rod; the carrying tray mechanism includes a POCT test card for carrying pallets and their supports. The invention has a manipulator that can move and grab automatically, so the manpower cost is saved and the working efficiency is improved.

The invention discloses an object detecting system and method, an electronic device and a storage medium, and relates to the technical field of safety detection. The system comprises a pre-concentrating sampling module for concentrating and sampling gas molecules of an object to be detected in order to obtain sample molecules, a gas chromatography module, an inner circulating gas channel module, and an ion transferring pipe module which is connected to the inner circulating gas channel module, forming a fingerprint chromatogram of the object to be detected based on a chromatogram of the samplemolecules and determining the type of the object to be detected based on the fingerprint chromatogram. With the adoption of the system, the object detecting efficiency and accuracy can be improved; and moreover, the object can be intelligently detected.

The invention provides a method for detecting drowning and a device for detecting drowning. The method and the device are used to solve problems in the prior art that in drowning dangerous situations, distress signals cannot be rapidly and accurately sent out. The method for detecting drowning and the device for detecting drowning realize intelligent and rapid detection on drowning conditions since a plurality of detection signals sent out by a plurality of sensors worn by a drowner are detected, and meanwhile accuracy of drowning detection is improved.

The invention provides a method and a device for detecting whether a capacitor is correctly mounted through photographing. The method comprises steps: an image of a circuit board of an already-assembled capacitor is acquired through a camera; the acquired image is pre-treated, wherein pretreatment comprises graying, histogram transformation, binarization and expansion corrosion treatment on the image; noisy points with over small areas on the image after pretreatment are removed, the capacitor is found through Hough circle transformation, and invalid circles are eliminated; and whether the capacitor is correctly mounted is judged according to whether a negative electrode marker exists in an effective circle preset position. The method is measurement based on computer vision, is a non-contact measurement technology, particularly a capacity polarity detection method brought forwards based on open source OpenCV, and solves the defects of slow execution speed and poor real-time performance of the traditional detection method.

The invention provides a method and device for detecting a behavior of latently stealing user data, and relates to the technical field of network information security. The method comprises the steps of obtaining a first access log to be detected, wherein the first access log is obtained when a user accesses a website; calculating a first user access behavior feature value according to the first access log; inputting the first user access behavior feature value to a detection model which is built in advance to detect whether the behavior of latently stealing the user data exists in the access log or not. The detection model is used for detecting the behavior of latently stealing the user data, and is obtained through classification training of training sample data. According to the method and device method for detecting the behavior of latently stealing the user data, the detection model for detecting the behavior of latently stealing the user data and model parameters can be obtained by calculating the user access behavior feature value of the access log and conducting training of a classification model, and then the detection model is utilized to precisely, efficiently and intelligently detect the behavior of latently stealing the user data in a new access log.

The invention discloses a method and a device for polling a service system. The method comprises the following steps of: scheduling and executing a detection task corresponding to each component in sequence and recording a detection result according to the predefined detection sequence of each component of the service system; and analyzing the recorded detection result of each component of the service system to determine the polling result of the service system. By using the method and the device, a multitask-scheduling automatic detection method is adopted; the detection of the different index parameters of each component of the service system can be realized; the intelligent and flow-way detection is realized; and the problem of lower efficiency brought about as a semi-artificial polling way of configuring a corresponding task script is respectively adopted for each part in the service system in the prior art is avoided.

The invention provides a device for detecting a steel tie rod or an inhaul cable and application. A rod section detection mechanism which can stretch and retract relative to a fixing frame is installed in the fixing frame. Sensors are evenly installed in the plane, in the same vertical axis direction as an outer fixing ring, of the inner wall of an inner fixing ring. A lug base detection mechanism used for detecting a lug base of the detected steel tie rod or inhaul cable is installed on the fixing frame. The device is used for detecting the application of the steel tie rod or the inhaul cable through a metal magnetic memory detecting method. The inner diameter of a detection cavity can be adjusted immediately according to the diameter changes of the detected steel tie rod or the inhaul cable, and the adaptability is good. A detection gap produced by reducing when the outer fixing ring is expanded can be filled in time, and therefore a reducing detection ring is a complete detection ring both before and after reducing; due to the fact that the sensors are evenly distributed, comprehensive detection can be achieved, and the detection accuracy is greatly improved. The rod section of the detected steel tie rod or inhaul cable is detected, and meanwhile the lug base of the detected steel tie rod or inhaul cable is comprehensively detected.

The invention relates to an intelligent inspection robot which comprises a body. A charging connector is arranged on the front side of the body. Infrared distance measuring sensors are arranged on thefour faces of the body respectively. A host box is arranged on the upper side of the body. Heat dissipation holes are formed in the front side and the rear side of the mainframe box respectively. A first electric telescopic rod is arranged in the middle of the mainframe box. A spherical rotary joint is arranged on the upper side of the first electric telescopic rod. The right side of the spherical rotating wire joint is connected with an infrared thermal imager. The left side of the spherical rotary joint is connected with a camera. An illuminating lamp is arranged on the left side of the camera. A temperature and humidity sensor is arranged on the upper side of the right portion of a host. A sound sensor is arranged on the upper side of the temperature and humidity sensor. Crawler beltsare arranged on the two sides of the lower side of the body. Dusting brushes are arranged on the lower side of the body. A dust suction hole is formed in the rear side of the dusting brushes. A dust collection box is arranged on the rear side of the dust suction hole. The system has the advantages of being long in endurance time, high in intelligence, comprehensive in inspection, diversified in function and comprehensive in detection.

The invention relates to the technical field of machine vision detection and particularly relates to a on-line breakage recognition sorting device for corn seeds based on machine vision. The on-line breakage recognition sorting device comprises a feeding device, a conveying device, an image acquisition device, a sorting device, a control system, a fixed shaft laboratory table and a recycling seedbox and is characterized in that through the on-line breakage recognition sorting device for the corn seeds, dynamic images can be acquired, a on-line breakage recognition dynamic detection function for the corn seeds can be realized, and broken corn seeds are separated from qualified corn seeds; a turntable type conveying mechanism of a simple structure is designed; an unqualified corn seed removing mechanism is designed, so that unqualified corn seeds can be accurately and effectively removed; and a on-line breakage recognition sorting control system for the corn seeds is designed. The on-line breakage recognition sorting device is simple in structure, accurate in recognition sorting, high in efficiency and great in effects. Through the fully automatic online real-time detection of the corn seeds, the detection of agricultural products can be more mechanized, automatic and intelligent.

The invention discloses an online railway monitoring system and method based on a distributed acoustics sensor. The system comprises a laser generator, a circulator, the distributed acoustic sensor, asignal receiver and a signal processor, wherein the laser generator is used for emitting a pulse detection light signal, a first end of the circulator is connected with an output end of the laser generator and is used for realizing signal one-way transmission, a signal end of the distributed acoustic sensor is connected with a second end of the circulator and is used for changing scattering characteristics under the excitation of an acoustic signal, modulating the pulse detection light signal transmitted by the circulator and outputting back Rayleigh scattering light through the backscattering effect, an input end of the signal receiver is connected with a third end of the circulator for converting the back Rayleigh scattering light into an electrical signal, and an input end of the signal processor is connected with an output end of the signal receiver for realizing demodulation processing of the electrical signal and determining the abnormal information of a rail and the informationof entered foreign matters based on the demodulated signal. The system is advantaged in that multiple types of monitoring reuses are realized.

The invention discloses a recording notification fault detection method and device, equipment and a medium. The method comprises the following steps: establishing a virtual dial testing scene under the VoLTE network, configuring calling terminal information and called terminal information required by the virtual dial test scene, and determining the identification information of the standard recording notification corresponding to the virtual dial test scene, wherein one end of the calling terminal and one end of the called terminal are VoLTE terminals, and the other end of the calling terminaland the other end of the called terminal are VoLTE terminals, 2G / 3G terminals or IMS fixed network terminals; sending the calling end information and the called end information to a core network; receiving identification information of an actual recording notification returned by the core network according to the calling end information and the called end information; and determining a recordingnotification fault according to the identification information of the standard recording notification and the identification information of the actual recording notification. According to the recording notification fault detection method and device, the equipment and the medium provided by the embodiment of the invention, the recording notification fault under the VoLTE network can be intelligently and comprehensively detected with high efficiency and low cost.

The invention discloses a frequency hopping signal detection and parameter estimation method based on a deep neural network, belongs to the field of image recognition, and can be used for frequency hopping signal detection and parameter estimation. The method comprises the following steps: 1) generating and acquiring frequency hopping signal data; 2) classifying and sorting the frequency hopping signal data according to parameters such as a modulation mode, a signal-to-noise ratio and a frequency modulation frequency; 3) generating a time-frequency distribution waterfall plot from the classified frequency hopping signals, and generating an image data set; 4) constructing an SSD model; 5) labeling the generated time-frequency waterfall plot as input of an SSD target detection framework model for training; 6) applying the trained model to a test set to complete frequency hopping signal detection and parameter estimation, wherein k _ means clustering-based time-frequency waterfall plot correction is continued aiming at the noise problem of the time-frequency waterfall plot, and 8) performing comparative analysis on the performance before and after the time-frequency waterfall plot correction. The method is high in frequency hopping signal detection rate and accurate in parameter estimation, and has important significance for frequency hopping signal processing.

The embodiment of the invention provides a reverse pop detection method and a device thereof. The method comprises steps of determining an abrupt change time domain signal existing in a to-be-detected target audio file and an audio position where the abrupt change time domain signal exists; searching alternative audio files which are the same as the target audio file in label information and durance information; determining a homologous audio file according to a frequency spectrum energy digital sequence of the target audio file and the frequency spectrum energy digital sequence of each alternative audio file; determining a first homologous audio file with the abrupt change time domain signal in the audio position from the homologous files; and determining an abrupt change time domain signal existing in the target audio file to be a reverse pop according to the quantity of first homologous audio files and the quantity of second homologous audio files except for the first homologous audio files. According to the embodiment of the invention, reverse pops can be intelligently, quickly and precisely detected.

The invention discloses a smart city water area garbage density detection method based on a CIM and a block chain. The method comprises the following steps: constructing a city information model of athree-dimensional digital space; establishing a water area garbage density detection deep neural network; training a water area garbage density detection neural network; splitting the water area garbage density detection deep neural network reasoning task into a plurality of sub-reasoning tasks according to the number of network layers, and allocating the sub-reasoning tasks to cloud host nodes; connecting blocks distributed in different cloud host nodes to generate a block chain private chain; performing deep neural network reasoning, and outputting a water area garbage density map and a water area garbage density level; and visualizing the city information model through a WebGIS technology. By means of the method, intelligent smart city water area garbage density detection is achieved, convenience is provided for water area garbage salvage, the detection precision and efficiency are high, the needed cost is low, and data privacy protection in the data processing process is well guaranteed.

The invention in particular relates to a physical examination duel intelligent sterilizing and flushing closestool. The physical examination duel intelligent sterilizing and flushing closestool comprises a hollow shell, wherein a defecation pond is arranged in the shell, a siphon flushing pipeline communicating with the bottom of the defecation pond is arranged in the shell, and a water tank is arranged above the rear side of the shell. The physical examination duel intelligent sterilizing and flushing closestool is characterized in that a female disinfecting and sterilizing cleaner realizing automatic stretching and contraction adjustment and a dryer realizing automatic stretching and contraction adjustment are arranged at the rear side of the defecation pond, a heating device and an ozone disinfection generator are arranged in the shell, a flushing hole, an odor exhaust hole and a steam sterilization and disinfection device are arranged at the inner side of the upper part of the defecation pond, the flushing hole is connected with a water tank through a pipeline, the steam sterilization and disinfection device is connected with the heating device through a pipeline, a spice and activated carbon sterilizing and deodorizing box and a deodorizing and air exchange fan are arranged in the shell, a cavity in the shell is connected with the siphon flushing pipeline through an air exhaust pipe, an examining device is arranged at a defecation hole of the defecation pond, and a urine routine examination instrument is arranged in the shell. The physical examination duel intelligent sterilizing and flushing closestool has the advantages that the functions are rich, the intelligence degree is high, the operation is convenient, and the use is comfortable, safe and sanitary.

The invention provides a plastic product quality detection method, which comprises the following steps: carrying out integrity scanning on a first plastic product through an omnibearing infrared scanner to obtain a first 3D infrared scanning model, the first 3D infrared scanning model being obtained by passing the first plastic product through the omnibearing infrared scanner according to a first posture; obtaining drawing parameter information of the first plastic product; performing 3D modeling according to the drawing parameter information to obtain a standard 3D model of the first plastic product; performing feature comparison on the first 3D infrared scanning model and a standard 3D model to obtain a first similarity value and a first distinguishing feature; obtaining position information of the first distinguishing feature and attribute information of the first distinguishing feature; and inputting the first similarity, the position information and the attribute information into a plastic product quality detection model to obtain a first quality detection result.

The invention provides a device for detecting multiple steel wire ropes and application thereof. The device comprises a bracket main body, wherein a plurality of detection bases are installed inside the bracket main body, each steel wire rope to be detected correspondingly penetrates through the middle of one detection base, a pair of lifting mechanisms is installed on the bracket main body, and can ascend and descend along the steel wire rope to be detected, so that the movement detection of the whole device on the multiple steel wire ropes can be realized. The device is used for detecting the steel wire ropes through a metal magnetic memory detection method. The adjustable device can guarantee the same lifting heights, the multiple steel wire ropes can be detected at a time simultaneously, the reference performance between the detection results is strong, the abrasion of a sensor can be avoided, and meanwhile, the detection precision can be guaranteed. A three-dimensional magnetic memory detection sensor is installed on the bracket, and the multiple steel wire ropes are detected according to the metal magnetic memory detection principle, so that the detection of stress concentration in the early stage and the prediction of the service lives of the steel wire ropes can be realized.

A method for detecting crack width of concrete surface includes such step as spraying a predetermined amount of liquid on concrete surface containing crack, recording liquid absorption process of concrete surface by video frequency in a predetermined time, and intercepting frame photograph at a predetermined time interval in video frequency; Storing a group of frame photographs obtained on the concrete surface into a training set in correspondence with the crack width of the concrete surface; N concrete surface regions containing cracks are sampled according to different absorption rates of liquid by the concrete at different crack widths, and the step A is repeated; B, train that training set with the method of depth learn to obtain the trained model; c, for video record of water spray onthat concrete surface containing cracks to be detected, inputting a group of frame photograph obtained on the concrete surface into the model for detection, and obtaining the crack width of the concrete surface. The invention can quickly, accurately and directly detect the crack width.

The invention discloses an image-based non-contact palm herpes detection system and a detection method thereof. The palm herpes detection system comprises a high-performance processor, an image acquisition device, a communication interface and an upper computer. The image acquisition device obtains palm color image data, the image is transmitted to the high-performance processor through the communication interface. The high-performance processor processes the acquired image, detects skin color contour, screens skin color, judges palm features, detects and recognizes palm herpes spots, and transmits the detection and recognition results to the upper computer. The image-based non-contact palmar herpes detection system and the detection method thereof are convenient to detect, do not rely onartificial medical technology, can quickly detect suspected palmar herpes spots, and effectively prevent the spread of herpes.

The invention discloses a remote alarming method and system based on detection of signal-to-noise ratio. The method includes the following steps: a receiver detects the intensity of a control signal sent by a transmitter and the intensity of ambient noise; the receiver calculates the ratio between the intensity of the control signal and the intensity of the noise signal, i.e., the signal-to-noise ratio, and the receiver sends the signal-to-noise ratio to the transmitter; the transmitter determines the size of the signal-to-noise ratio and a predetermined threshold value, and when the signal-to-noise ratio is smaller than the predetermined threshold value, an alarming signal is sent. According to the invention, multiple factors which impact remote operations are fully taken into consideration, such as the noise factor and the factors of the remote model, so that detection for a remote operation environment is more accurate and smart. When unsafe environment is detected, an alarm can be sent in time to alert an operator and reduce operation risks. The receiver can perform real-time detection, real-time transmission, and guarantee the timeliness and accuracy of data.

The invention relates to an orchard modeling analysis system and method based on unmanned aerial vehicle positioning shooting. The system comprises an unmanned aerial vehicle, a fruit marking module and a virtual modeling module; the fruit marking module is used for obtaining the position of the unmanned aerial vehicle from a positioning module, determining the position of a fruit image on an image shot by a camera module, and marking fruits on the image according to the position of the unmanned aerial vehicle and the position of the fruit image, wherein The virtual modeling module is used forcalculating an unmanned aerial vehicle position range and a fruit image position range in which a target fruit can be shot; and according to the calculated unmanned aerial vehicle position range, thefruit image position range and the unmanned aerial vehicle position and fruit image position marked by the target fruit, calling a plurality of images of the target fruit shot by the camera module, and establishing a three-dimensional model of the target fruit and / or the plant where the target fruit is located according to the plurality of images of the target fruit. According to the method, thefruits in the orchard can be conveniently marked, and the health conditions of the fruits and plants where the fruits are located can be modeled and analyzed.

The invention provides a device and method for detecting the instability of a steel-structure pressing rod. The device comprises a magnetic shielding outer bracket ring, an inner bracket ring, a retractable magnetic memory detection pen and a power walking mechanism; the inner bracket ring is mounted in the magnetic shielding outer bracket ring; the power walking mechanism is mounted on an outer wall of a rear retaining ring at the rear end of the magnetic shielding outer bracket ring; the retractable magnetic memory detection pen is mounted in the inner bracket ring; the steel-structure pressing rod penetrates through the inner bracket ring; the power walking mechanism can walk on the steel-structure pressing rod; the retractable magnetic memory detection pen is used for detecting the steel-structure pressing rod. The retractable magnetic memory detection pen provided by the invention is provided with two three-dimensional magnetic memory sensors and a distance sensor in total and can realize complete and accurate acquisition of normal and tangential magnetic signals through annular free movement of the device; the detection of rod pieces with various types of sections can be realized, and accurate judgment on the stability of various types of members to be detected is guaranteed.

The invention discloses a coal ash content on-line detection system based on deep learning and a detection method thereof, the system comprises a classification model and a regression model, the models are deployed to an embedded device after being trained, and distributed deployment of a coal ash content on-line detection function is realized; and real-time detection of the ash content is completed by a matched hardware image acquisition system. The on-line detection method comprises the following steps: acquiring a coal microscopic image and corresponding ash content through an image acquisition device, establishing a coal microscopic image database, constructing a feature extraction network based on a deep learning method to perform automatic feature extraction on the coal ash content image, designing a classification model and a regression model to complete a final decision, and obtaining an accurate coal ash content prediction result. Compared with other coal ash content detection methods, the method has the advantages of high detection precision, high speed and the like.

The invention provides a surface enhanced Raman spectroscopy detection method for total arsenic content in food. The surface enhanced Raman spectroscopy detection method comprises the following steps of: preparing Cu2O nanoparticles; synthesizing Cu2O / Ag nanoparticles; establishing a total arsenic content detection standard curve; preprocessing original SERS spectral data through standard normal variable transformation (SNV), and establishing a quantitative detection model on the basis of partial least squares (PLS); and after pretreating a to-be-detected food sample, adding the to-be-detected food sample into a Cu2O / Ag surface enhanced Raman substrate, performing uniform mixing so as to obtain a mixed solution, measuring a Raman spectrum after the mixed solution is dried, and calculating the total arsenic content in the to-be-detected food sample through the quantitative detection model. The Cu2O / Ag surface enhanced Raman substrate prepared by the invention can realize label-free, rapid and high-sensitivity detection of total arsenic in food based on an SERS technology. The quantitative detection model is established based on the standard normal variable transformation pretreatment and the partial least square method, so that the total arsenic content in the food is accurately predicted, and rapid evaluation of heavy metals in the food is realized.

The invention provides a three-dimensional defective dumpling recognition device and relates to a food processing device. A liquid crystal display screen with a touch function is arranged on the frontside of a main unit of the device, a three-dimensional camera shooting module is arranged under the main unit, an indicator light is arranged on the main unit, a loudspeaker is arranged at the upperpart of the right side of the main unit, and a power interface and a wired network interface are formed at the lower part of the right side of the main unit; the camera shooting module is connected with a planar camera, an infrared three-dimensional camera and an infrared laser transmitter; the power interface is used for being connected with an external power supply; the wired network interface is connected with a wired network and a master control computer of a complete dumpling production device; a Z8750 mainboard, the three-dimensional camera shooting module, a wired network module, the display screen with the touch function, the loudspeaker and the indicator light are arranged in the main unit; a host processor circuit on the Z8750 mainboard comprises Z8750 and a peripheral circuit ofZ8750. With adoption of the device, not only is two-dimensional plane data of dumplings extracted, but also three-dimensional deep data is extracted, so that recognition accuracy is greatly improved,the defective rate of the dumplings is reduced, and dumpling quality is improved.