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35results about How to "To achieve the effect of real-time detection" patented technology
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Method for real-time detection of road vehicle based on deep learning SSD frame
ActiveCN106611162ARealize real-time detectionQuick checkRoad vehicles traffic controlCharacter and pattern recognitionFeature vectorFeature extraction
The invention discloses a method for real-time detection of a road vehicle based on a deep learning SSD frame and mainly solves a problem of low detection accuracy of the existing technology under the conditions of traffic congestion and complicated weather. An implementation scheme of the method comprises the following steps that 1.shooting videos of a plurality of running vehicles at a vital communication line and grabbing window information of the vehicle in each frame of image in the video in a manual labelling way; 2.taking VGG-16 in a classification network as a basic network, constructing an SSD300*300 detection frame, extracting features of some feature extraction layers to carry out connection as recognized feature vectors and inputting the feature vectors into a loss function; 3.training through a training sample and taking a trained detection model into the detection frame; and 4.setting a correlation threshold and detecting the vehicles in the test videos by the trained detection model. According to the method, the detection accuracy is greatly improved and an effect of real-time detection is realized, and the method can be used for vehicle detection under the complex scene.
Owner:XIDIAN UNIV
Ship detection method and system combining significance detection and depth learning
ActiveCN109241913AImprove robustnessGood stabilityCharacter and pattern recognitionNeural architecturesConvolutionDeep learning
The invention provides a ship detection method and a ship detection system combining significance detection and depth learning, comprising constructing a ship image sample library, comprising collecting coastal area surveillance video data under visible light, obtaining a frame image containing the ship from the video data, and then obtaining a true value of the ship position, length and width; constructing a YOLO-like convolution neural network to train the video ship target samples and obtaining the training result model of the ship target in the surveillance video; Inputting the ship imagedata and predicting the detection boundary box by using the training result model; by using boundary box information, detecting the saliency to obtain more accurate ship position. The technical schemeof the invention is very fast and efficient, and can achieve the effect of real-time detection. For complex scenes such as clouds and fog, cloudy weather, rain and other conditions, the method can also have good detection results, and has high robustness.
Owner:WUHAN UNIV
Method and device for implementing terminal-to-terminal link detection, routing strategy rearrangement
InactiveCN101136789ARealize detectionHigh feasibilityData switching networksDistributed computingCoincidence
The detection method establishes dialog based on reliability detection mechanism (RDM) between two network devices (ND). The method includes steps: link state on ND is bound on the established dialog based on RDM; ND detects link state bound on this end, and tells the link state to ND at opposite terminal through dialog based on RDM. The invention also discloses means for implementing rearrangement of route strategy. The means includes steps: receiving link state, ND configures coincidence relation between route strategy and link; ND determines link corresponding to selected route strategy currently, and carries out rearrangement of route strategy based on the link state. The invention also discloses link detection device of implementing end to end, as well as device for implementing rearrangement of route strategy. The invention can realize link detection from end to end, and trigger off rearrangement in time.
Owner:HUAWEI TECH CO LTD
Digital electronic shear speckle interferometer based on micro-polaroid array
ActiveCN103048268ATo achieve the effect of real-time detectionDevices to Simplify Phase ShiftingOptically investigating flaws/contaminationOptical elementsBeam expanderPhase shifted
The invention disclose a digital electronic shear speckle interferometer based on a micro-polaroid array. The digital electronic shear speckle interferometer comprises a laser, a beam expander located on a light path of an outgoing beam of the laser, a to-be-detected object, a shearer located on a light path of a beam reflected from the surface of the to-be-detected object and used for obtaining two mutually perpendicular coherent linearly polarized lights, the micro-polaroid array arranged on a light path of a beam outgoing from the shearer, a photosensitive element connected with the micro-polaroid array, and processing equipment connected with the photosensitive element and used for transmitting and processing a signal acquired by the photosensitive element. The interferometer has the advantages that multiple phase shifts can be obtained by single exposure; a real-time detection effect can be achieved; a phase shift device is simplified in the light path; and as the micro-polaroid array generating the phase shifts is directly integrated onto the photosensitive element, the antivibration requirement is lowered.
Owner:HEFEI JUNDA HI TECH INFORMATION TECH
Unmanned driving platform real-time target 3D detection method based on camera and laser radar
PendingCN110879401AReduce missed detection rateAccurate spatial positioningElectromagnetic wave reradiationICT adaptationNetwork architectureEngineering
The invention discloses an unmanned driving platform real-time target detection system based on a camera and a laser radar. Space-time synchronous pixel-level fusion is performed on original data of acamera and a laser radar; a clustering detection result is obtained by combining the obtained space-time synchronization data with a data analysis method of the laser radar; an improved faster-rcnn network architecture is constructed to perform parameter training and real-time detection; and the type, length, width and height of a target object around an unmanned driving platform, the distance ofa central point relative to the space coordinate of the unmanned driving platform, a yaw angle, a roll angle and a pitch angle are output. According to the system and a detection method thereof, a traditional clustering and artificial intelligence fusion algorithm is adopted, the defects that the image detection space positioning precision is low and the category is difficult to judge through point cloud detection are overcome, and a real-time 3D target detection system based on a camera and a laser radar in an unmanned driving platform scene is realized.
Owner:NANJING UNIV OF SCI & TECH
Method for detecting abnormal behaviors in elevator car based on computer vision
ActiveCN110765964ATo achieve the effect of real-time detectionRealize detectionImage analysisCharacter and pattern recognitionOptical flowHuman body
The invention discloses a method for detecting abnormal behaviors in an elevator car based on computer vision, and the method comprises the steps: obtaining the external contour of a moving target through combining a ViBe algorithm of an inter-frame difference method, and obtaining the height-width ratio information of the body of a passenger in the car on the basis of the external contour; and detecting the number and the positions of the heads of the human bodies in the lift car through the YOLOv3 neural network. According to the number of people detected by the YOLOv3 neural network, the abnormal behavior detection in the car is divided into a single-person situation, a two-person situation and an above two-person situation. Under the condition of a single person, the falling behavior is detected by utilizing the change of the height-width ratio of the human body contour of the passenger and the vertical movement distance of the head of the passenger. On the basis of a target contour obtained by combining a ViBe algorithm of an inter-frame difference method in a scene of two or more persons, the average kinetic energy of passengers is calculated by utilizing a pyramid LK opticalflow algorithm, and the detection of violent infringement behaviors is realized. Video input and detection are carried out at the same time, and the effect of real-time detection is achieved.
Owner:CHANGSHU INSTITUTE OF TECHNOLOGY
A high-voltage wire defect detection method based on a regional convolutional neural network
InactiveCN109886947AGuarantee the quality of trainingSimplified training stepsImage analysisAlgorithmNetwork generation
The invention discloses a high-voltage wire defect detection method based on a regional convolutional neural network. The method comprises the steps of obtaining a high-voltage wire image defect sample set; inputting the high-voltage wire image into a convolutional neural network, and extracting defect features in the high-voltage wire image to obtain a feature map; inputting the feature map intoan area proposal network additionally provided with a full connection layer, generating a proposal area by the area proposal network, and judging the proposal area; inputting the proposal area and thefeature map which belong to the foreground into a full connection layer for defect classification; correcting and processing the boundary of the proposal area, and optimizing the boundary to obtain amore accurate proposal area; and repeating the steps to iterate the regional proposal network until the training is completed, and obtaining the high-voltage wire defect detection model with the trained parameters to carry out actual defect detection. According to the invention, the Faster R-CNN algorithm is used to identify and position the wire defects, and the method has the advantages of highidentification speed, extremely high accuracy and good robustness.
Owner:ZHEJIANG SCI-TECH UNIV
Dynamic point diffraction interferometer on the basis of micro-polaroid array
InactiveCN105300272ATo achieve the effect of real-time detectionReduced vibration requirementsUsing optical meansPoint diffraction interferometerPhase shifted
The present invention discloses a dynamic point diffraction interferometer on the basis of a micro-polaroid array. The dynamic point diffraction interferometer on the basis of micro-polaroid array comprises: a laser, a beam spread collimation system, a polarizer, a first quarter wave plate, a focusing lens, a diffraction template located at the focus of the focusing lens, a second quarter wave plate in a diffraction light path, a measured piece, an imaging lens, a micro-polaroid array and a photosensitive element. A part of light diffracted in the small hole of the diffraction template reaches the measured piece through the second quarter wave plate, and the light reflected by the measured piece is reflected by the diffraction template through the second quarter wave plate and is received by the photosensitive element through the imaging lens and the micro-polaroid array; and the other part of the light diffracted in the small hole of the diffraction template is directly received by the photosensitive element through the imaging lens and the micro-polaroid array. One time exposure of the dynamic point diffraction interferometer on the basis of the micro-polaroid array may obtain four phase shift images, so that real time detection effect is reached; and devices for generating phase shift are simplified, and the vibration resistance requirement is reduced.
Owner:SHANGHAI INST OF OPTICS & FINE MECHANICS CHINESE ACAD OF SCI
Intelligent monitoring method, device and system based on machine vision, equipment and storage medium
InactiveCN110210530AAvoid safety accidentsAchieving low hardware requirementsCharacter and pattern recognitionPattern recognitionMachine vision
The invention discloses an intelligent monitoring method, device and system based on machine vision, equipment and a storage medium. The method comprises the following steps: obtaining a monitoring video in a production environment, extracting a plurality of selected frames in the monitoring video, and dividing dangerous areas in the selected frames into a plurality of sub-areas; calculating the fingerprint of each sub-area by using a Hash algorithm, and calculating the Hamming distance between each fingerprint and the center of a plurality of clustering clusters, wherein the plurality of clustering clusters are obtained by performing fingerprint clustering on each sub-area in the video frame; and according to the relationship between the Hamming distance and the maximum distance in each clustering cluster, judging whether abnormity occurs or not. The intelligent monitoring method based on machine vision provided by the invention is simple and effective, does not need a large amount oftraining data, can achieve the purpose of real-time detection, and can meet the safety requirement of real-time shutdown due to the detection accuracy.
Owner:杭州智尚云科信息技术有限公司
Surface defect real-time detection device for additive manufacturing
PendingCN107741425ADetection speedTo achieve the effect of real-time detectionOptically investigating flaws/contaminationImage resolutionImage capture
The invention relates to a real-time detection device for a surface defect of an additive manufacturing product. The device comprises an illumination module connected with a computer processing unit,a lens group, a sensor module, a transmission module and the computer processing unit, wherein the illumination module works during a lens group shooting process; the lens group comprises one or moreoptical lenses; the transmission module comprises a stepping motor, a screw rod and a corresponding control circuit, and is used for changing the height of the lens group, so that the lens group can always follow a manufacturing process of the additive manufacturing product; the computer processing unit is used for receiving images acquired by the lens group, fusing the acquired images, then judging a surface defect type and a position of the additive manufacturing product through a corresponding image processing algorithm, and recording. According to the real-time detection device provided bythe invention, a 360-degree surface image of the additive manufacturing product can be acquired at the same time, surface defects such as surface indentation, embossment and color change of the manufacturing product can be comprehensively detected in real time without dead corners in a high-accuracy and high-resolution way, and the detection speed of a system is improved.
Owner:SOUTH CHINA UNIV OF TECH
High-precision real-time multi-scale dial pointer detection method and system
ActiveCN110909772ALightweight structurePowerfulCharacter and pattern recognitionImaging processingComputer graphics (images)
The invention discloses a high-precision real-time multi-scale dial pointer detection method, and belongs to the image processing technology. The method comprises the following steps: marking dial pictures in a training set, and recording the positions of pointer areas in the dial pictures; carrying out data enhancement operation on the dial plate pictures in the training set; inputting the training set into a FaceBoxes network, and training to obtain a dial pointer detection model; and finally, inputting the to-be-detected image into the dial pointer detection model, outputting a pointer frame in the to-be-detected image, and determining the pointing direction of the pointer according to the center of the dial and the center point of the pointer frame. Meanwhile, pointer pointing is further refined by using self-adaptive Hough straight line detection on the detected pointer frame, and preferred pointing information of the pointer is given by integrating the two pointer pointing extraction methods; and the invention further discloses a high-precision real-time multi-scale dial pointer detection system, the pointer detection efficiency and accuracy are greatly improved, the algorithm is more stable, and the robustness is better.
Owner:HUAZHONG UNIV OF SCI & TECH
Intelligent flowerpot with automatic water adding function
InactiveCN107836241ATo achieve the effect of adding water at the right timeTo achieve the effect of real-time detectionSelf-acting watering devicesReceptacle cultivationSoil moisture sensorEngineering
The invention discloses an intelligent automatic water-filling type flower pot, which comprises a mounting base, the upper surface of the mounting base is respectively fixedly connected with a support foot and a water tank, and the upper surface of the support foot is fixedly connected with a flower pot support plate, a flower pot support plate The upper surface of the pad is slidably connected with a pad, the upper surface of the pad is fixedly connected with a potted flowerpot body, and the inner wall of the potted flowerpot body is respectively fixedly connected with a water spray pipe and a soil humidity sensor. The intelligent automatic watering type flowerpot achieves the effect of real-time detection of the soil humidity in the potted flowerpot, and the effect of timely adding water to the potted flowerpot body. When the soil humidity sensor reaches the starting value, the variable speed module and The single-way relay module controls the micro-pump to start pumping water and automatically adds water, thus achieving the effect of artificial intelligence, thus effectively solving the problem of often forgetting to add water or going out for a long time when using flower pots to grow flowers, resulting in the death of plants in the flower pots The problem.
Owner:郑州永静智能科技有限公司
Personnel detection method and device suitable for big data, equipment and medium
ActiveCN111144220AReduce detection errorImprove precisionCharacter and pattern recognitionNeural architecturesComputer graphics (images)Engineering
The invention provides a personnel detection method and a device suitable for big data, equipment and a medium, and the method comprises the steps: S1, taking one frame from each continuous M frames in an image sequence of a video, and obtaining a sampling video sequence; S2, extracting continuous N frames from the sampled video sequence each time, and inputting the N frames into a pre-classifierto obtain a preliminary to-be-detected human head window; S3, inputting the preliminary to-be-detected human head window into the main classifier, and further excluding the human head-free window to obtain a secondary to-be-detected human head window; and S4, inputting the secondary to-be-detected human head window into the clustering analyzer, mutually correcting the detection results of each frame, reducing errors, and generating a high-precision human head detection result. According to the method, head detection in various scenes with many people is realized based on the multi-stage cascaded head classifier, static features, dynamic features and inter-frame correction are fused, and the technical problem that good head detection effect is difficult to obtain due to interference of complex backgrounds and insufficient detection precision in actual scenes is solved.
Owner:福建省星云大数据应用服务有限公司
Multi-feature-fused real-time detection method and device for human factor risk
InactiveCN109394225ATo achieve the effect of real-time detectionSolving the Human Risk Factor Prediction ProblemSensorsMeasuring/recording heart/pulse rateTimestampFrame time
The invention discloses a multi-feature-fused real-time detection method and a multi-feature-fused real-time detection device for human factor risk. The method comprises the following steps: S1, collecting human factor test data in the anti-accident process; S2, processing the collected human factor test data; S3, in the data processing process, extracting the features of change in the behavior, audio and physiological signals of a dispatcher during the anti-accident process; S4, by utilizing sampling timestamp of the data, carrying out frame-by-frame time alignment on the various features with different frame rates extracted from video, audio and physiological measurement data, and thus multi-channel synchronous relevance is realized; and S5, carrying out weight allocation on all the feature data indexes, determining the weight of each index by utilizing a principal component analysis method, finally, substituting the plurality of features with the greatest contribution rate into a comprehensive evaluation function, and then evaluating the risk of human errors of the dispatcher. With the method and the device provided by the invention, the problems of hysteretic human factor riskaccident analysis and low-efficiency human factor risk factor detection in the existing electric power system are solved.
Owner:EAST CHINA BRANCH OF STATE GRID CORP +1
Vehicle-mounted intelligent traffic light recognizing and prompting device
InactiveCN108944669AAvoid misleadingTo achieve the effect of real-time detectionSignalling/lighting devicesData switching networksBroadcastingSpeech sound
The invention discloses a vehicle-mounted intelligent traffic light recognizing and prompting device. The vehicle-mounted intelligent traffic light recognizing and prompting device comprises an equipment layer; a data layer is arranged at the connecting end of the equipment layer; the equipment layer comprises a control unit; a traffic light detection unit, a voice broadcasting unit and a data storage unit are arranged at the connecting end of the control unit; the data layer comprises a background server; a WeChat official account unit and a cloud memory are arranged at the connecting end ofthe background server; and a user mobile phone is arranged at the connecting end of the WeChat official account unit. According to the vehicle-mounted intelligent traffic light recognizing and prompting device, the color of a traffic light is identified by using the traffic light detection unit, the traffic light detection unit transmits recognition information to the control unit after recognition, the control unit reads the recognition information and converts the recognition information into a corresponding instruction, the corresponding instruction is broadcast by using the voice broadcasting unit, the broadcasting mode is a mode of broadcasting in sequence, such as left turn, forward only and no right turn; and therefore, a real-time detection effect is realized, the broadcasting accuracy is guaranteed, a vehicle owner is prevented from being misguided, the design is reasonable, and the popularization is made convenient.
Owner:安徽祥吉汽车服务有限公司
Method for detecting weaving density of three-dimensional woven fabric based on deep learning
ActiveCN113283499AImprove accuracyImprove efficiencyCharacter and pattern recognitionMachine learningWoven fabricNetwork model
The invention discloses a method for detecting the weaving density of a three-dimensional woven fabric based on deep learning. The method comprises the following steps: dividing a three-dimensional fabric surface data set into a training set and a verification set, and constructing a deep learning network model for training and verification; the deep learning network model can accurately detect the classification and position information of each longitudinal and transverse line monomer on the surface image of the three-dimensional fabric, then outputs a detection result based on the model, and calculates the density of the longitudinal and transverse lines by using a statistical method according to the coordinates of a prediction frame for longitudinal and transverse line detection. The method for detecting the knitting density of the three-dimensional knitted fabric is high in accuracy and efficiency, can achieve a real-time detection effect, reduces human subjective interference, improves the quality of the three-dimensional knitted fabric, and guarantees the reliability of product production. Meanwhile, the blank of the automatic detection technology for the weaving density of the three-dimensional woven fabric is filled, and the efficiency of detecting the consistency of the three-dimensional woven fabric is improved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Aerial image small target detection method, device and equipment and storage medium
PendingCN112633066AHigh precisionHigh speedScene recognitionNeural architecturesEngineeringNetwork model
The invention provides an aerial image small target detection method, device and equipment and a storage medium, and relates to the technical field of digital image detection. The method comprises the steps: obtaining an aerial image; detecting the aerial image by using a small target detection network to obtain a detection result, wherein the small target detection network is obtained by training an improved Yolov3 network model, the improved Yolov3 network model comprises five lightweight residual modules and an improved output layer, and the five residual modules are input to the output layer through specific layer feature fusion. By adopting the above method, a problem that small target features are lost due to the fact that the network is too deep during aerial image small target detection is solved. According to the method, the problem that the model is too large when small target detection is applied to the mobile platform is solved, the detection speed is higher through the light-weight small target detection network provided based on cloud computing, the real-time detection effect is achieved, and the problem that real-time target detection cannot be carried out on the mobile platform is solved.
Owner:INSPUR SUZHOU INTELLIGENT TECH CO LTD
Medical vehicle automatic disinfection system
InactiveCN109884929ASpray evenlySolve the problem of low dynamic performanceComputer controlSimulator controlDisinfectantProgrammable logic device
The invention relates to the technical field of medical apparatus and instruments, in particular to a medical vehicle automatic disinfection system. According to the system, the technical design thatan integrated circuit AD654 and a programmable logic device GAL cooperate to generate a pulse signal is adopted as core technical design, so that the system controls a stepping motor through a single-chip microcomputer to realize stepless speed regulation, and then the effect of uniformly spraying disinfectants is achieved; by adopting the mode that a power tube drives a motor to work and the design method of motor overcurrent protection, the effects that a disinfection vehicle can arrive at a designated position requiring control at any moment, the disinfection vehicle is parked at an arbitrary angle, and the motor is under overcurrent protection are achieved; by adopting the mode that a relay in a switch module controls liquid extraction time and the design method of liquid level detection, the effects of electrical control of liquid preparation and automatic detection of liquid remaining conditions are achieved; and by adopting the technical method that a wireless module is used asa communication bridge to remotely receive information, the effects of real-time monitoring of motor running states and remote control of a medical vehicle are achieved.
Owner:王国庆
Real-time detection method of road vehicles based on deep learning ssd framework
ActiveCN106611162BRealize real-time detectionQuick checkRoad vehicles traffic controlCharacter and pattern recognitionFeature vectorFeature extraction
The invention discloses a real-time detection method for road vehicles based on a deep learning SSD framework, which mainly solves the problem of low detection accuracy in the prior art under conditions of crowded roads and complex weather conditions. The implementation plan is: 1. Take several videos of driving vehicles in the traffic arteries, and capture the window information of the vehicles in each frame of the video by manual labeling; 2. Use VGG‑16 in the classification network as the basic network , build the SSD300*300 detection framework, extract the features of some of the feature extraction layers and connect them as the recognition feature vector, and input them into the loss function; 3. Use the training samples for training, and substitute the trained detection model into the detection framework Middle; 4. Set the correlation threshold and use the trained detection model to detect the vehicles in the test video. The invention not only greatly improves the detection accuracy, but also achieves the effect of real-time detection, and can be used for vehicle detection in complex scenes.
Owner:XIDIAN UNIV
House wall inclination detector
InactiveCN107144259AEnsure personal safetyTo achieve the effect of real-time detectionIncline measurementTelecommunicationsControl theory
The invention provides a house wall inclination detector. The house wall inclination detector comprises a wall inclination sensor, wherein the wall inclination sensor is used for outputting a corresponding first sampling voltage according to the inclination degree of the wall; the house wall inclination detector also comprises a comparison module; the comparison module is connected with the wall inclination sensor, is equipped with a first threshold voltage and a second threshold voltage and is used for receiving the first sampling voltage, outputting a first signal when the first sampling voltage is lower than the first threshold voltage, outputting a second signal when the first sampling voltage is higher than the first threshold voltage and is lower than the second threshold voltage, and outputting a third signal when the first sampling voltage is higher than the second threshold voltage; a real-time detection effect is achieved; persons in the room can judge whether stay in danger situation, so that a real-time prompt effect can also be achieved without outside intervention; the personal safety of the persons in the room can be ensured.
Owner:温州励新安全工程技术有限公司
Tongue region detection method and system based on deep learning
PendingCN111260608AReduce filming requirementsSimple convolution structureImage analysisCharacter and pattern recognitionData setMedicine
The invention discloses a tongue region detection method and system based on deep learning. The method comprises the steps: carrying out the marking of an obtained image data set comprising a tongue,and carrying out the preprocessing of the marked image data set, so as to obtain a first image data set; setting proportions of a plurality of fixed reference frames, and performing clustering in a k-means clustering mode to obtain a plurality of clustering center reference frames; performing training based on a DarkNet network structure, determining an output layer dimension according to the plurality of clustering center reference boxes, and performing training according to the first image data set to determine a first detection model; utilizing the first detection model to detect an image data set which does not contain a tongue part so as to obtain a false detection image data set of false detection; and adjusting the network structure of the first detection model, modifying the dimension of an output layer, and retraining by using the first image data set and the false detection image data set to determine a tongue detection model for tongue region detection.
Owner:来康生命科技有限公司
Ship detection method and system combining saliency detection and deep learning
ActiveCN109241913BImprove robustnessTo achieve the effect of real-time detectionCharacter and pattern recognitionNeural architecturesEngineeringComputer vision
The present invention provides a ship detection method and system combining saliency detection and deep learning, including building a ship image sample library, including collecting monitoring video data of coastal areas under visible light, obtaining frame images containing ships, and then obtaining ship positions and The true value of length and width; construct a YOLO-like convolutional neural network, perform model training on the video ship target sample, and obtain the training result model of the ship target under the surveillance video; input ship image data, use the training result model to predict the detection bounding box; use the boundary Box information is used for saliency detection to obtain more accurate ship positions. The technical scheme of the invention is very fast and efficient, and can achieve the effect of real-time detection. It can also have good detection results for complex scenes such as clouds, cloudy days, and rain, and the method has high robustness.
Owner:WUHAN UNIV
A high-precision real-time multi-scale dial pointer detection method and system
ActiveCN110909772BLightweight structurePowerfulCharacter and pattern recognitionComputer hardwareImaging processing
Owner:HUAZHONG UNIV OF SCI & TECH
Method and device for receiving antenna diversity fault detection
ActiveCN102468888BLow costEasy to implementReceivers monitoringSpatial transmit diversityDiversity schemeReliability engineering
Owner:ZTE CORP
Digital electronic shear speckle interferometer based on micro-polaroid array
ActiveCN103048268BTo achieve the effect of real-time detectionDevices to Simplify Phase ShiftingOptically investigating flaws/contaminationOptical elementsBeam expanderPhase shifted
The invention disclose a digital electronic shear speckle interferometer based on a micro-polaroid array. The digital electronic shear speckle interferometer comprises a laser, a beam expander located on a light path of an outgoing beam of the laser, a to-be-detected object, a shearer located on a light path of a beam reflected from the surface of the to-be-detected object and used for obtaining two mutually perpendicular coherent linearly polarized lights, the micro-polaroid array arranged on a light path of a beam outgoing from the shearer, a photosensitive element connected with the micro-polaroid array, and processing equipment connected with the photosensitive element and used for transmitting and processing a signal acquired by the photosensitive element. The interferometer has the advantages that multiple phase shifts can be obtained by single exposure; a real-time detection effect can be achieved; a phase shift device is simplified in the light path; and as the micro-polaroid array generating the phase shifts is directly integrated onto the photosensitive element, the antivibration requirement is lowered.
Owner:HEFEI JUNDA HI TECH INFORMATION TECH
A method for detecting abnormal events of network hosts based on mobile agent
ActiveCN105491055BReduce workloadReal-time online applicationTransmissionResource informationMonitoring system
Owner:NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
A detection and alarm device for mariculture
ActiveCN113820468BReal-time informationTimely and accurate informationTransmission systemsTesting waterMarine aquacultureFishery
Owner:山东简云软件技术有限公司
A vehicle parking violation detection method based on object detection and semantic segmentation
ActiveCN111368687BAccurately identify illegal parking and call the policeReduce human errorCharacter and pattern recognitionNeural architecturesParking areaModel extraction
The invention discloses a sidewalk vehicle illegal parking detection method based on target detection and semantic segmentation, which belongs to the field of deep learning and computer vision. In a training stage, a semantic segmentation network and a target detection network are respectively trained to obtain a semantic segmentation model and a target detection model; In the testing stage, the mixed Gaussian background model is used to extract the urban road background map, and then the semantic segmentation algorithm and the semantic segmentation model are used to perform semantic segmentation to obtain the semantic segmentation map. Then, the perceptual hash algorithm is used to determine whether the camera is rotating, and then the target detection is used. The algorithm and the target detection model perform vehicle detection, mark the vehicle detection frame, and finally compare the vehicle detection frame with the semantic segmentation map. The invention solves the problem that the existing vehicle illegal parking detection method has a high misjudgment rate, poor real-time performance, needs to manually demarcate the illegal parking area on the sidewalk, and when the camera rotates, it needs to manually demarcate the illegal parking area, which is not suitable for rotating the camera. The problem.
Owner:成都市微泊科技有限公司 +1
An industrial robot driver board detection card
ActiveCN111487479BTo achieve the effect of real-time detectionEasy to trace the source of the faultCurrent/voltage measurementThermometers using electric/magnetic elementsElectric machinerySingle chip
The invention provides a detection card for an industrial robot drive board. It includes a detection card, a single-chip microcomputer, a multi-channel analog switch, a golden finger and a test signal buffer; wherein, the single-chip microcomputer, a multi-channel analog switch and a test signal buffer are inserted into a pre-configured chip socket on the detection card; the The multi-channel analog switch and the test signal buffer are electrically connected to the single-chip electromechanical device; the multi-channel analog switch is electrically connected to the test signal buffer; the detection card is inserted into the preset card slot of the tested drive board through the golden finger; Wherein, when the multi-channel analog switch is turned on, the single-chip microcomputer sends a PWM motor driving signal to the checked driving board, and receives a feedback signal from the checked driving board to determine whether the checked driving board is faulty.
Owner:广州易辉信息技术有限公司
Method, system and equipment for detecting illegal arrangement of electric power tower operation fence
PendingCN114419483AReduce work intensityTo achieve the effect of real-time detectionCharacter and pattern recognitionNeural architecturesImage databaseVideo streaming
The invention provides a method, a system and equipment for detecting violation setting of an electric power tower operation fence, and the method comprises the steps: constructing an image database, marking an obtained to-be-detected image, and storing the marked to-be-detected image into the image database; taking a worker on a tower as a detection target, training a construction scene detection model, and forming a scene detection model; a fence on the ground is used as a detection target, a fence detection model is trained, and the fence detection model is formed; taking the ground in the picture as a segmentation target, training a ground segmentation model, and forming the ground segmentation model; and processing a video stream collected at a construction site into pictures, and respectively inputting the pictures into the scene detection model, the fence detection model and the ground segmentation model to judge whether an illegal behavior exists or not. According to the invention, the workload of manual inspection operation in a construction site is reduced, the occurrence of leak detection is prevented, and the occurrence of safety accidents caused by illegal operation of constructors is avoided.
Owner:SHANDONG LUNENG SOFTWARE TECH
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