25results about How to "Detection speed" patented technology

This invention discloses a method for detecting corn kernel breakage rate by incorporating an attention mechanism. This method further improves the lightweight one-stage object detection network YOLOv4-tiny by introducing a coordinate attention mechanism into the feature pyramid network to enhance the model's ability to detect dense corn kernels. Furthermore, an online mosaic data augmentation method is used during the model training phase to improve the model's ability to detect smaller-scale broken kernels. The method disclosed in this invention is easier to deploy on embedded platforms due to its low parameter size, and it has a high response speed while maintaining accuracy. It can efficiently detect the degree of corn kernel breakage and thus obtain the corn kernel breakage rate in real time.

The utility model provides a kind of mixing device of arterial blood collector, including rotating shaft and the mixing assembly being fixed in its outside, and the side plate of polygon is respectively arranged in the two sides of rotating shaft and multiple bearing plates are fixed on side plate, the detachable blood gas needle loading plate is equipped on the bearing plate, and multiple detachable blood gas needle mounting clips are equipped on the blood gas needle loading plate;The blood gas needle mounting clip is detachably set on the bearing plate.By blood gas needle mounting clip detachably set on blood gas needle loading plate, and blood gas needle loading plate itself also detachably install in the design of bearing plate, effectively solve the core pain point of poor versatility of traditional mixing device.

The application relates to the field of workpiece defect detection, and discloses a workpiece end face defect detection method and system based on deep learning, which comprises the following steps: acquiring an end face image of a machined workpiece, performing image enhancement and region marking on the end face image to obtain an end face enhanced image and an end face marked region, querying abnormal points corresponding to the end face marked region, calculating an image offset of the workpiece end face image in a preset direction, querying an image difference frame corresponding to the workpiece end face image according to the image offset, extracting pixel values of the image difference frame, calculating an image difference value of the workpiece end face image, performing classification detection on the workpiece end face image by using a preset end face detection model to obtain a classification image, identifying a defect region in the classification image, extracting region features, and performing defect detection on the workpiece end face image to obtain a defect detection result of the machined workpiece. The application can improve the detection efficiency of workpiece end face defects.

The application discloses a flaw detection device and method based on light-weight agricultural transmission shaft production and relates to the technical field of transmission shaft production.The application comprises a rack, a push plate type elevator is arranged on one side of the rack, a detection mechanism is arranged in the middle of the rack and is used for detecting the flaw of the transmission shaft, the detection mechanism comprises a conveying assembly, the conveying assembly comprises two supporting plates which are slidably arranged in the middle of the top end of the rack, and the driving motor is arranged on the supporting plate; the driving motor is used for driving the transmission shaft to be lifted from the rotating roller through the clamping groove when the moving frame is lifted, the transmission shaft is then horizontally conveyed to a working position and then is lowered and placed, the step-by-step one-by-one transfer of the transmission shaft is realized, when the rotating shaft rotates and conveys, the eccentric wheel at the end of the rotating shaft synchronously drives the outer shell body provided with the air knife to vertically reciprocate, the air knife moves to the lowest point when the transmission shaft is transferred to the cleaning working position and is placed, and therefore, the transmission shaft can be effectively cleaned at the best time while being continuously conveyed.

The utility model provides a kind of fast detection wing angle instrument, including pedestal, inclination detection mechanism, and the pedestal is provided with the positioning part for installing and positioning wing and the installation part for installing inclination detection mechanism;Inclination detection mechanism includes four distance detectors, four distance detectors are all installed on the installation part of pedestal;Four distance detectors are divided into two groups of relative arrangement, and detection zone is formed between two groups of distance detectors, and two distance detectors in the same group of distance detectors are distributed upside down.This application carries out ranging to wing by four distance detectors respectively, the distance between corresponding distance detector and wing can be obtained, and the coordinates of distance detector can be calculated by known distance detector, and the coordinates of detection point on the wing corresponding to the distance detector are fitted into oblique line, the included angle between oblique line and median line is the inclination of wing, so that whether the inclination of the wing piece is qualified can be quickly judged.

This invention provides a magnetic detection device based on diamond NV centers and the Kerr effect. It achieves the sharing of light sources and optical paths between magnetic detection technologies based on the magneto-optical Kerr effect and those based on NV centers, combining the two technologies and greatly simplifying the device structure. This increases the intensity of the optical signal received by the detection module, reduces noise interference in the signal, and thus improves the accuracy of magnetic detection. It can simultaneously meet the requirements of rapid and high-resolution detection, and improve the overall detection speed while ensuring detection accuracy.

This utility model discloses a surface defect detection device for rubber roller production, comprising a feeding assembly, a rotary drive assembly, a discharging assembly, and a vision inspection assembly. The feeding assembly includes a feed plate for the rubber rollers to be inspected, a feed lifting ramp, and a lifting assembly for orderly conveying the rubber rollers to be inspected. The rotary drive assembly includes an active drive shaft for roller rotation, a passive drive shaft for roller rotation, a roller rotation drive motor, and a drive shaft mounting bracket to ensure stable rotation of the rubber rollers. The discharging assembly includes a discharge lifting ramp and a collection trough for collecting the inspected rubber rollers. The vision inspection assembly includes a translational drive rail and a surface defect detection camera to achieve omnidirectional scanning of surface defects on the rubber rollers. This equipment has a high degree of automation, accurate detection, effectively improves the quality control level of rubber roller production, and ensures the surface quality of the rubber rollers.

The application discloses a pedestrian fall detection method based on mixed precision quantization and a storage medium, relates to the technical field of computer vision, and solves the technical problem that the mixed quantization precision model used in the existing pedestrian fall detection is difficult to achieve the best balance in model volume, precision and processing speed. The method comprises the following steps: S1, encoding a pedestrian neural network and quantizing the pedestrian neural network into a basic neural network; S2, initializing the basic neural network to obtain K different individuals, and performing selection and crossover operations; S3, performing game mutation operations; and S4, repeating steps S2-S3 until the iteration number reaches a preset maximum iteration number or the iteration termination condition is met, and obtaining an optimal mixed precision quantized pedestrian neural network model. The genetic algorithm improved by the game theory algorithm can make the model after mixed precision quantization achieve the best balance in model volume, precision and processing speed.

The technical scheme of the present application provides a method, system, electronic device and storage medium for detecting harmful URLs. The method comprises: obtaining URL data, wherein the URL data includes harmful URL data and normal URL data; creating word features according to the URL data, wherein the word features are used to summarize the features possessed by the URL data; creating a training set and a test set according to the URL data, and counting the word features of the URL data in the training set; constructing a decision tree according to the word features of the URL data in the training set and generating a random forest model; and identifying harmful URL data from the test set according to the random forest model. This technical scheme can improve the efficiency and accuracy of URL detection and reduce the consumption of computer computing resources.

The application provides a kind of people flow detection method and equipment, including obtaining the real-time video data of people flow detection area;Using trained detection model, real-time video data is processed, and the pedestrian detection frame of current frame in real-time video data is obtained;Pedestrian detection frame data of current frame is input into target tracker, and the pedestrian prediction frame of future frame is obtained, and pedestrian detection frame and pedestrian prediction frame are matched, and each pedestrian detection frame is assigned identification number according to matching result;According to the detection line of people flow detection direction, the people flow statistical result is obtained according to the identification number of pedestrian detection frame passing through detection line.Through the above setting, high-precision, high real-time people flow detection can be realized with lower power consumption.

The invention discloses a blade defect detection method based on progressive feature enhancement and Inner-IoU, and relates to the technical field of computer vision and image processing, and the method comprises the following steps: constructing and preprocessing a blade defect data set, and adopting a joint data enhancement JDA strategy to expand a training data set; a ResNet50 backbone network of an integrated channel self-adaptive weighted ACAW module is constructed, after the preprocessed image is input into the ResNet50 backbone network, feature maps of different scales are generated, and for the feature map of each scale, the system executes an attention-based channel self-adaptive weighted ACAW processing flow; in the encoding and decoding stage, a progressive feature input PFI encoder is adopted; according to the method, the detection speed is remarkably improved, the calculation amount is greatly reduced through the combination of the PFI strategy and the light-weight feed-forward network LW-FFN, the model can meet the real-time detection requirement of an industrial assembly line, and through the synergistic effect of the ACAW module and the Inner-IoU loss function, it is ensured that tiny defect features are not submerged by the background and can be accurately positioned.

This invention discloses an intelligent monitoring system and method for steel wire rope safety, belonging to the field of non-destructive testing technology for steel wire ropes. The system includes a three-layer sensor array, a data acquisition and processing unit, a digital twin computing platform, and an intelligent diagnostic and early warning terminal. The three-layer sensor array consists of a pulsed eddy current-leakage magnetic flux composite sensor array, a fiber Bragg grating stress-vibration monitoring unit, and a machine vision surface defect detection module. The pulsed eddy current-leakage magnetic flux composite sensor array includes 12 sensing units evenly distributed along the circumference, employing a three-frequency time-division multiplexing method to achieve layered detection from the surface to the core, with penetration depths of 0.65 mm, 3.5 mm, and 8.5 mm, respectively. The fiber Bragg grating stress-vibration monitoring unit includes three optical fibers and 36 fiber Bragg gratings, reconstructing the three-dimensional stress state of the steel wire rope. The system fuses multi-source data using Dempster-Shafer evidence theory, achieving a false alarm rate of less than 2%, realizing real-time online monitoring and accurate life prediction of the steel wire rope.

The application discloses a submarine cable target detection method based on a YOLO-CABLE model. The YOLO-CABLE model is obtained by improving a basic YOLO-V3 network model. In the feature extraction network, the output of the first residual block is respectively subjected to convolution operation and spliced with the output of the third and fourth residual blocks, and then input into the next residual block, so that the position information of the shallow layer is transmitted to the high layer. In the prediction network, the large-scale branch is removed, the network structure is lightened, and the detection speed is improved. In the feature fusion network, the top-down and bottom-up bidirectional paths are adopted to fuse the high-level features. Finally, the submarine image is detected by using the trained YOLO-CABLE model. Compared with the prior art, the average precision is improved by 4.2%, and the average detection speed is shortened by 1.616 seconds.

The application provides a method for detecting defects in a steel pipe welding digital radiograph image, comprising the following steps: S1, collecting a plurality of DR images, expanding a sample data set, preprocessing the plurality of DR images, and constructing a training data set; S2, constructing a deep convolution network model based on image reconstruction, wherein the network model comprises at least one convolution network-based encoder and a corresponding decoder; S3, performing model parameter optimization training, using the training data set to optimize network parameters, and obtaining an optimized network model; S4, inputting the collected DR image into the optimized network model for inference to obtain a reconstructed image; performing difference operation on the reconstructed image and the input image, and binarizing the difference result to obtain a final defect position; and through the above scheme, the final defect position is obtained.

The utility model discloses a kind of taper seat detection tool, comprising: taper seat fixture, the first oil circuit, second oil circuit are distributed in the taper seat fixture inner portion;Lower cone seat, the lower cone seat is center hollow structure;Taper seat pull ring, the taper seat pull ring is sleeved in the center hollow structure of lower cone seat and moves in lower cone seat along axial direction, driving assembly is provided in the taper seat pull ring and provides thrust, the middle part outer wall of taper seat pull ring and lower cone seat form first sealed space, the first oil circuit is communicated with first sealed space, the lower part of taper seat pull ring and taper seat mounting groove form second sealed space, the second oil circuit is communicated with second sealed space;When the first oil circuit is oil-filled to first sealed space by oil inlet hole, taper seat pull ring moves downward;When the second oil circuit is oil-filled to second sealed space, taper seat pull ring moves upward.The utility model can realize the quick detection and precision adjustment of tool shank pull nail, solve the problem such as tedious adjustment, insufficient detection precision.

The invention discloses a 3T1C gas response internal characteristic controllable extraction structure, which belongs to the technical field of gas sensors, and specifically comprises an N-type gas sensitive field effect transistor, a P-type gas sensitive field effect transistor, an output modulation field effect transistor and a fixed capacitor, the N-type gas-sensitive field effect transistor is connected with the source electrode of the P-type gas-sensitive field effect transistor, and is connected to a signal output end through the fixed capacitor; the drain electrode of the N-type gas sensitive field effect transistor is connected with a driving voltage; the grid electrode of the output modulation field effect transistor is connected with modulation voltage, one of the source electrode and the drain electrode is connected with a signal output end, and the other one and the drain electrode of the P-type gas sensitive field effect transistor are jointly connected with a common ground end. Conversion and amplification of target gas concentration response are realized by utilizing the influence effect of target gas on channel resistance of different types of gas sensitive field-effect tubes, and ultrafast extraction and controllable modulation of gas concentration characteristics are realized by outputting a time constant of a modulation field-effect tube control differentiating circuit. The system has the advantages of easy integration, low power consumption and ultrafast response.

The application provides a new energy automobile engine cover jacking device performance simulation test device, belongs to the automobile parts performance test technical field, contains the base, the base is reserved the cavity containing assembly, the central fixed connection workbench is connected to the lower end of the cavity, the upper end of the workbench is fixedly connected with the limiting plate, two pairs of guide columns are fixedly connected to both sides of the cavity, the sliding sleeve is movably arranged on the guide column, a counterweight is fixedly connected to the two pairs of sliding sleeves, the lower end of the counterweight is fixedly connected with the detection assembly, the control unit is arranged on the right side of the upper end of the base, one side of the workbench is fixedly connected with the support table, the fastening module is arranged on the support table, and the fastening module is used for quickly and stably locking the jacking device. The application solves the problem that the existing new energy automobile engine cover jacking device performance simulation test device can only fasten the jacking device at one place when fastening the jacking device, cannot guarantee the stability of the jacking device fastening, and cannot guarantee the normal test of the jacking device.

This invention relates to the field of light source technology, and discloses an optical inspection system integrating multi-angle prism coupling and beam splitting fusion. The system includes: a housing with an installation space and a detection space within it, and a detection port communicating with the detection space on the housing; a camera fixedly connected to the installation space; a semi-transparent, semi-reflective lens disposed below the detection space; a point light source assembly disposed within the detection space, below the semi-transparent, semi-reflective lens; and a first prism and a second prism disposed above the semi-transparent, semi-reflective lens, which are tilted at 45° to the upper side of the detection space in a horizontal projection. A detection method is also provided. This invention achieves multi-field synchronous imaging of the bottom and two sides of a workpiece using a single camera and a single exposure. The three optical paths are independent and do not interfere with each other after precise optical path calibration.

The application discloses a kind of link validity detection method, device, equipment and readable storage medium.The link validity detection method includes: the link to be detected is attached after platform jump link, and the HTTP status code returned by HTTP request is obtained;When the HTTP status code returned is 302, the location attribute in the response header of the HTTP request is obtained;Based on the location attribute, the validity of the link to be detected is judged.The link validity detection method provided by the application uses script, can quickly and accurately monitor the state of large-scale link, and when detecting link exception, automatic alarm is carried out.Compared with prior art, the method has the advantages of high efficiency and accuracy, rapid batch detection, detailed classification of abnormal link, strong scalability and the like.

The utility model relates to electrical detection technical field discloses the quality inspection screening equipment for power cord, including base, the top of base is fixedly connected with frame, the middle part of frame is provided with detection mechanism, the top middle part of base is fixedly connected with limiting mechanism, the limiting mechanism is used for the power cord of waiting for quality inspection to limit, time is convenient for detection, the detection mechanism includes motor no.

The utility model relates to a kind of PCB board thickness measuring device based on adaptive binocular vision, including machine table, feed conveying track, feeding assembly, AVI inspection component, discharge assembly, binocular range finder and discharge conveying track, the side of machine table is connected feed conveying track, the other side is connected discharge conveying track, feed area, AVI detection area and discharge area are sequentially set on the machine table, feeding assembly is set in feed area, AVI inspection component is set in AVI detection area, discharge assembly is set in discharge area, feeding assembly is set close to feed conveying track, binocular range finder is set on discharge conveying track. The utility model integrates the detection of binocular range finder and AVI appearance inspection machine, for the thickness measurement and appearance defect synchronous detection of PCB board, realize thickness and appearance synchronous detection.

This utility model belongs to the field of semiconductor testing technology, specifically relating to a chamfering inspection device for silicon wafers. The device includes: a base; a conveyor mounted on the base for transporting silicon wafers; and a testing component including: an industrial camera mounted above the conveyor, wherein the industrial camera is adapted to acquire and upload images of the chamfering of the silicon wafer; a reciprocating assembly mounted above the conveyor and connected to the industrial camera, adapted to drive the industrial camera to move; a rotary telescopic cylinder mounted on the base, located in the middle of the conveyor, adapted to lift the silicon wafer and drive it to rotate; and a main control module electrically connected to the conveyor, industrial camera, reciprocating assembly, and rotary telescopic cylinder. This silicon wafer chamfering inspection device achieves 360-degree omnidirectional inspection of the entire circumference chamfer of the silicon wafer by using the rotary telescopic cylinder to drive the silicon wafer to rotate and the industrial camera to move under the drive of the reciprocating assembly, thus improving inspection efficiency.

This invention relates to the field of biochemical analysis technology, specifically providing a rapid quantitative point-of-care detection method and system based on artificial intelligence signal prediction. The method includes: homogeneously reacting non-magnetic microspheres and magnetic nanoparticles, with surfaces modified with different biorecognition molecules, with a test solution to form an immune complex; injecting this complex into a self-driven microfluidic chip, performing magnetophoretic separation in a magnetic field, and anchoring the complex to a linear microtube array; acquiring chip images within 20 seconds of signal transduction initiation; determining the weight of each microtube through physical field simulation, and calculating the early measured total pixel intensity by combining machine vision pixel intensity recognition; finally, inputting this intensity into a trained AI prediction model to output the predicted endpoint signal value, and combining it with a calibration curve to quantify the analyte. This method reduces detection time from hours to minutes, combining high precision, portability, and versatility, and is suitable for rapid on-site detection of pathogens, biomarkers, and small molecule pollutants.

This invention relates to the field of computer vision technology, and provides a standard judgment method and scoring device for basic human motor skills. The method includes: recording relevant information of key points of the human body; identifying the person with the smallest change in human body indicator features in two adjacent frames as the same person; recording the position information of the target object; processing the relevant information of the key points and the position information of the target object to obtain action detail information; comparing and analyzing the action detail information with the detail requirements, and synchronously displaying the preliminary evaluation results on the image; after completing the processing and analysis of all frames of the video, obtaining the final evaluation result corresponding to each detail requirement; the evaluation result of the action standard is derived from the final evaluation result of the corresponding detail requirement through a bitwise AND operation; this invention improves the accuracy of scoring by breaking down each action standard into different detail requirements; and makes sports training more targeted and scientific by judging human movements in real time.

This utility model relates to the field of inflatable packaging leak detection technology, and discloses an automatic gas leakage detection device for inflatable packaging, including a handling mechanism, a conveying mechanism, and a detection unit. The conveying mechanism includes an infeed conveyor belt, an outfeed conveyor belt, and a rejection conveyor belt. The handling mechanism picks up packaged products from the infeed conveyor belt and moves them to the detection unit for detection. Furthermore, the handling mechanism picks up packaged products that have completed detection in the detection unit and moves them to the outfeed conveyor belt or the rejection conveyor belt based on the detection results. This utility model utilizes a robotic arm to place packaged products from the conveyor belt into a small, sealed detection chamber formed by a cylinder-driven upper pressure plate and a detection base. Pressure is applied to the packaged products by a bag-pressing cylinder, eliminating the need for any manual operation steps, thus improving the degree of automation and accelerating the detection speed.