1863results about How to "Easy to detect" patented technology

A pattern which does not appear at a flat portion in normal binarization processing is set as a code pattern, and a code formed from this pattern is attached. At this time, code attachment with little degradation in image quality is implemented by selecting an unnoticeable pattern.

The invention belongs to the technical field of medical image processing, and particularly relates to a linear Transform general focus recognition method based on multiple perception and context guidance, and the method comprises the steps: extracting the multi-scale features of a medical CT image through a backbone network, obtaining the edge gradient features in parallel, making up the missing of focus boundary information through an edge perception feature enhancement module, and carrying out the recognition of the focus. And then global feature modeling under linear complexity is realized through a polarity perception feature interaction module, a high-discrimination-force multi-scale feature map is generated by using a context-guided feature pyramid network, and finally the model is optimized by combining a Hungary algorithm and a joint loss function based on an end-to-end detection architecture of set prediction. The problems that the focus boundary is fuzzy, feature interaction and calculation efficiency are balanced, and the focus and background separation degree is weak are effectively solved, double improvement of calculation efficiency and detection precision on massive medical image data is achieved, and reliable support is provided for clinical precise auxiliary diagnosis.

The invention provides a PCB multi-type defect detection method and device based on frequency domain perception enhancement, a storage medium and a program product, and relates to the technical field of computer vision target detection.The method comprises the steps that a to-be-detected PCB image is input into a backbone network for shallow feature extraction, and shallow feature maps of different processing stages are obtained; respectively inputting the shallow feature maps into a multi-domain collaborative feature enhancement network, performing decomposition enhancement on the shallow feature map in each stage through wavelet transform to obtain an enhanced low-frequency component and an enhanced high-frequency component, and performing first reconstruction on the enhanced low-frequency component and the enhanced high-frequency component through first inverse wavelet transform to obtain an enhanced low-frequency component and an enhanced high-frequency component; obtaining a frequency domain enhanced feature map of each stage; inputting the frequency domain enhanced feature map into a neck network, and enabling the neck network to perform multi-scale feature fusion on the frequency domain enhanced feature map to obtain a fused feature map; and inputting the fusion feature map into a prediction output end for target prediction to obtain a PCB defect detection result.

The invention discloses a fruit and vegetable storage and fresh-keeping control management system and method based on full-period detection, and relates to the technical field of fruit and vegetable storage management, and the method comprises the following steps: dividing a fruit and vegetable storage period into an initial fruit and vegetable storage period, a stable storage period and a later fruit and vegetable storage period; setting a storage environment fluctuation detection mechanism for judging whether storage environment leakage occurs or not according to the environment fluctuation degree; setting a storage environment leakage risk analysis mechanism for dynamically adjusting the time interval of data detection; setting a fruit and vegetable storage and detection period adjusting mechanism for adaptively adjusting the period duration of a stable storage period and the time interval of storage environment detection; the timeliness and accuracy of abnormal fluctuation detection are improved, so that the damage of storage environment fluctuation to the physiological state of fruits and vegetables is reduced; the duration of the stable storage period and the time interval of storage environment detection are adaptively shortened, and the problem that the rotting rate of fruits and vegetables in the later period is too high due to the fact that a fixed storage period is selected is solved.

The invention discloses an intelligent laser welding workstation for a high-voltage cable. The intelligent laser welding workstation comprises an operation table, a mechanical arm, a welding head, a camera assembly, a power assembly, a clamping assembly and a control piece. A control part is installed on the outer side of the operation table and comprises an image acquisition module, an image processing module, a track planning module, a motion control module, a quality detection module, a parameter adjustment module and a synchronous control module. Visual guidance and real-time monitoring in the welding process are achieved through the camera assembly, a welding center point is accurately positioned through an image processing algorithm, the track planning module generates a smooth welding path, and the parameter adjusting module dynamically adjusts welding parameters according to a molten pool image. The synchronous control module receives a production line signal to realize full-process automation of automatic clamping, welding and loosening; efficient and stable laser welding seamlessly integrated with the cable manufacturing process is achieved, and the automation degree, welding precision and product reliability of a production line are improved.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention relates to the technical field of code analysis, and discloses a multi-terminal code repetition detection and component reconstruction method, device, equipment and medium, and the method comprises the steps: carrying out code analysis on a pre-acquired project code file, and identifying a code mapping relation to obtain an abstract syntax tree and a cross-platform code mapping relation, and according to the abstract syntax tree and the cross-platform code mapping relationship, carrying out repetition logic detection on the project code file to obtain a repetition detection result, according to the repetition detection result, confirming a repetition code in the project code file, carrying out cross-platform code optimization on the repetition code to obtain an optimized code, and carrying out cross-platform code optimization on the optimized code. The method comprises the steps of obtaining duplicated codes, extracting reusable components on the basis of the duplicated codes, generating a multi-end adaptive component template according to a preset condition compiling logic, and reconstructing the optimized codes according to the reusable components and the multi-end adaptive component template to obtain reconstructed codes, so that the code duplicating detection and reconstruction efficiency is improved.

The invention relates to the technical field of antenna detection, in particular to a laser cutting antenna line type defective product detection method and system, and the method comprises the steps: obtaining processing batch information, building a coiled material motion coordinate system, and storing target antenna parameters and reference information of a dispensing region; acquiring image data of the antenna, and aligning the image data with the reference information in the coiled material motion coordinate system; extracting an antenna boundary according to the image data, and calculating a geometric deviation based on the antenna boundary and the reference information; obtaining a defect coordinate position according to the geometric deviation, and comparing the dispensing area with the geometric deviation to judge the severity of the defect; mapping the coordinate position to a coiled material motion coordinate system to obtain bad position data, and executing differentiation processing according to the severity; and storing the bad position data and the processing batch information corresponding to the differentiation processing, and generating a detection result. According to the invention, the antenna boundary and geometric deviation are analyzed through the image data and the reference information, defects in the antenna cutting process are identified, and the detection accuracy is improved.

The invention discloses a multi-layer semantic perception, distillation and semi-supervised cooperative training target detection method, and the method specifically comprises the following steps: constructing a data set: extracting a first part of images from image data, marking the first part of images to construct a supervised target detection data set, and taking the remaining images as an unmarked image data set, the data volume of the unlabeled image data set is greater than that of the supervised target detection data set; teacher model optimization: performing supervision training on the teacher model on the supervised target detection data set; constructing a teacher model, and executing self-distillation training on the teacher model; pseudo labels are generated for the unlabeled images through a teacher model, and adaptive screening is carried out based on confidence distribution; mapping a pseudo label to a strong enhanced sample through enhanced geometric transformation, carrying out semi-supervised training by using the strong enhanced sample and the pseudo label, and introducing a feature layer distillation constraint at the same time; optimizing a student model; and outputting the target detection model obtained through training.

The invention discloses a DSP (Digital Signal Processor) online self-adaptive wavelet denoising and concentration inversion system and method for TDLAS (Tunable Diode Laser Absorption Spectroscopy) measurement, and relates to the technical field of gas spectrum detection. Comprises: a laser module for emitting semiconductor laser light; the absorption cell module is used for absorbing specific components of the laser through a gas absorption cell formed by the to-be-detected gas; the detection and amplification module is used for converting the transmission light signal into an electric signal and amplifying the electric signal through a photoelectric amplifier; the phase-locked amplification module is used for filtering and extracting noise; the digital signal processing module is used for performing digital sampling, performing wavelet denoising and signal reconstruction, performing wavelet inverse transformation reconstruction on a denoised waveform, and extracting a second harmonic characteristic parameter; and the upper computer module is used for obtaining the concentration of the gas to be detected based on a pre-established gas concentration inversion model according to the second harmonic characteristic parameters. The method is suitable for high-precision detection of trace gas, and has the obvious advantages of strong real-time performance, high precision, good system stability, good portability and the like.

The utility model discloses a bending resistance testing device of a bendable polaroid for flexible display equipment, which relates to the related field of detection of flexible elements and comprises a base assembly, a bending assembly, a shell assembly and an environment simulation assembly, the upper end of the base assembly is fixedly connected with the bending assembly, and the lower end of the base assembly is fixedly connected with the shell assembly. The upper end of the base assembly is fixedly connected with the shell assembly, the rear end of the shell assembly is fixedly connected with the environment simulation assembly, the base assembly further comprises a base, and the upper end of the base is fixedly connected with the shell assembly; the display controller is fixedly connected to the front end of the base; the data printer is fixedly connected to the right side of the front end of the display controller; the bottom plate is fixedly connected to the upper end of the base; the environment simulation assembly capable of simulating the detection environment is arranged, so that the device can simulate the detection environment to obtain performance degradation under an extreme use environment or illumination aging, and the detection effect is relatively good.

The utility model discloses a kind of steel wire rope automatic rope winding machines, by setting torsion releasing device, release the torsion generated in the process of winding rope of steel wire rope, prevent the disorder of rope reel caused by torsion of steel wire rope, tension adjusting device, the tension of steel wire rope in the process of winding operation can be adjusted in real time, so that winding is more regular, by increasing the friction of steel wire rope to slow down its speed, reach the purpose of adjusting tension;And rope reel butt joint device realizes automatic lifting transfer of the winding reel and the storage of steel wire rope by lifting mechanism and transmission mechanism, the degree of automation of the in-place, butt joint and rotating action of steel wire rope reel is high, winding is more efficient;While the rope guiding roller, line pressing mechanism and line arranging mechanism arranged between rope reel butt joint device and tension adjusting device, so that the line arranging and winding action cooperation is more smooth, and line arranging mechanism uses positive and negative screw rod to carry out automatic reversing, can realize the orderly storage of steel wire rope, improve the operation efficiency of steel wire rope storage.

The application provides an online X-ray detection method and device, the method comprising: establishing a standard version database of a detected object according to the type of the detected object; conveying the detected object to a shaping area of a shaping mechanism by a conveying mechanism; collecting a visible light image of the detected object; obtaining posture deviation data of the detected object according to the visible light image, and adjusting the posture of the detected object to a standard posture by the shaping mechanism according to the posture deviation data; identifying the type of the detected object according to the visible light image; collecting an X-ray image of the detected object by an X-ray detection mechanism, extracting key feature points in the X-ray image corresponding to an X-ray standard version image one by one, comparing the key feature points, obtaining a determination result that the detected object is an OK piece or an NG piece, and recording the defect type of the NG piece; and removing the NG piece to a defective piece placement area corresponding to the defect type by a defective piece removing mechanism. The application realizes online X-ray automatic detection and intelligent sorting of multiple types of workpieces.

An information processing apparatus (100) includes: an acquisition unit (110) that acquires a first image and a second image that is captured at a close focus point compared to the first image; a rotation unit (120) that rotates the second image by 180 degrees; a detection unit (130) that detects a first feature quantity from the first image and a second feature quantity from the second image that is rotated by 180 degrees; a calculation unit (140) that calculates a correlation of the first feature quantity and the second feature quantity; and a determination unit (150) that determines whether a water droplet is present in the second image based on the calculated correlation.

An optical fiber sensor device, comprising an optical fiber sensor probe, a position adjusting mounting base; the optical fiber sensor probe comprises a mounting hole A group, a mounting screw A group; the position adjusting mounting base comprises a mounting screw hole B group, a mounting hole C group, a mounting screw C group; the mounting screw A group is connected with the mounting hole screw hole B group through the mounting hole A group; the mounting screw C group is connected with the detection mounting part through the mounting hole C group; the position adjusting mounting base is used for adjusting the relative position of the optical fiber sensor probe and the detection mounting part. A wider range of sensor probe detection distance is provided, flexibility is increased, and production efficiency is improved.

The utility model relates to fire control detection technical field, and disclose a kind of smoke alarm remote triggering device for fire detection, including protective cover, the inside of protective cover is installed with smoke alarm, the outer edge of smoke alarm is installed with smoke making storehouse, the inside of smoke making storehouse is opened with cavity, the inner bottom of cavity is installed with heating pipe, the inner wall of cavity is connected with thread ring with thread, the top of thread ring is installed with pressing plate, the inner wall of pressing plate is installed with extension ring, the bottom of extension ring is opened with four recesses;By smoke alarm, it can be remotely controlled heating pipe operation to heat the smoke oil inside cavity, further can generate smoke, so that smoke can be discharged to the inside of protective cover through smoke exhaust pipe, and can be directly sprayed outside smoke alarm, for actively triggering smoke alarm to carry out smoke detection, without manually igniting combustible to produce smoke, more environmentally friendly.

The invention discloses an illumination device for 3D curved glass production inspection, which comprises a bottom light fixing seat. A cavity is formed in the bottom light fixing seat; a bottom lightsource is fixedly connected into the cavity; a bottom light illumination outlet is formed in the upper surface of the bottom light fixing seat; side surface LED light source lamp strips are arrangedon the left side and the right side of the bottom light illumination outlet; fixing mechanisms are arranged on the sides, opposite to each other, of the two side surface LED light source lamp strips;each fixing mechanism comprises an L-shaped supporting frame fixedly connected with the top of the bottom light fixing seat; a rolling bearing is embedded in the surface of the horizontal portion of each L-shaped supporting frame; a threaded rod is fixedly connected in each rolling bearing; and a threaded barrel is in threaded connection with the bottom of each threaded rod. The falling risk of glass held by personnel and the problem of uneven light receiving during glass rotation inspection by personnel can be reduced, the side surface LED light source lamp body can be conveniently replaced and maintained, and 3D curved glass with different sizes can be conveniently detected at the same time.

The present application relates to the field of chip package testing, in particular to a chip package testing system and a testing method thereof. The system comprises a testing box, the inside of which is divided into a testing room and a chip in-out room. The testing room is divided into a feeding room with adsorption equipment and detection equipment, a discharging room, and two groups of detection rooms. The rotating plate is divided into four groups of rotatable detection stations, each of which is provided with a positioning assembly. The testing box is also provided with a feeding box, a qualified product discharging box, an unqualified product discharging box, and a controller. Through the rotation of the detection stations, the feeding room, the two groups of detection rooms, and the discharging room are sequentially opposite, and the feeding, detection, and classified discharging are automatically performed. The structure is compact, and the items for simultaneous detection can be installed and replaced according to needs. The detection process is cyclic, continuous, efficient, and intelligent. After the detection is completed, the qualified products and unqualified products are classified and recycled, the detection results are intuitive, the classification and statistics are convenient, and the detection efficiency is improved.

This utility model relates to the field of electronic water pump technology, specifically to a testing device for automotive electronic water pumps. The testing device includes an outer frame and a water pump. The outer frame is rotatably connected to a fixed cover via an electric push rod. Both the fixed cover and the outer frame are rotatably connected to the water pump. The fixed cover is threadedly connected to a fixing assembly via a screw rod. The fixing assembly is in close contact with the water pump. The fixing assembly includes several limiting plates evenly distributed inside the fixed cover, with one end of each limiting plate rotatably connected to the screw rod. The advantages of this utility model are: the fixing assembly can fix water pumps of different shapes horizontally, and the buffer plate and fixing frame can fix and limit the water pump vertically, while facilitating rotation. At this time, the water pump is fixed and cannot move, but it can be rotated during testing, thus facilitating testing and observation.

This invention discloses a lightweight method for detecting foreign objects (FOOs) in power transmission lines, relating to the fields of power line inspection and computer vision. A YOLOv10-based FEO detection model is constructed, comprising a feature extraction part, a feature interaction part, and a detection head part. The C2f module in the feature extraction and feature interaction parts is replaced with an expert dynamic extraction module, and the detection module in the detection head part is replaced with a parameter-sharing detection module. The trained FEO detection model is obtained by collecting and evaluating a calibrated FEO dataset of power transmission lines. FEO keyframes are input into the trained FEO detection model to obtain detection results. The expert dynamic extraction module acquires feature maps from multiple receptive fields, achieving rich representation in FEO detection environments with varying scales. The parameter-sharing detection module, based on this, reduces redundant computation and enhances the semantic representation of small targets through parameter sharing and grouping normalization, effectively improving the efficiency of FEO detection in power transmission lines.

The utility model provides a mirror surface roller roundness detection base belongs to roundness detection technical field. A mirror surface roller roundness detection base, including at least two three -dimensional parallel settings recess fixed block, recess fixed block side upper vertical through the at least three positioning slot, two the positioning slot is supported in the rotation connection with the rolling bearing through the limiting shaft. The utility model is opposite to the roller body of different length, need not to adjust the position of tailstock even to replace the whole tailstock component, only need to utilize the on -off type magnetic attraction base quick adjustment its span can. Its adjustment process is simple, can satisfy modern production line fast rhythm, the detection demand of many varieties.

This invention provides a valve internal leakage diagnostic device, including a valve body, a hollow support base integrally connected to the middle of the valve body, an internal sealing assembly inside the hollow support base, a rotating handwheel connected to the top of the internal sealing assembly, pipes connected to both sides of the valve body, flanges connected to the ends of the pipes, four sets of mounting holes evenly distributed on the flanges, an adjustable support assembly fitted on the outer wall of the pipes, and an internal leakage detection assembly connected to the side of the adjustable support assembly facing the outer wall of the pipes. This invention has the following advantages: its simple structure eliminates the need to disassemble the valve for inspection, and it can be directly installed outside the valve body, enabling the inspection of a large number of valves, thus avoiding the problem of some valves having internal leaks that are difficult to detect and thus causing leakage.

The utility model discloses a kind of observation devices for in-situ evaluation crop absorption fertilizer nutrient, from below to above sequentially include solution collection layer, agar layer, soil layer and gel layer;Wherein soil layer is inserted with first ion concentration sensor, solution collection layer is inserted with second ion concentration sensor.The utility model directly determines nutrient concentration (such as potassium, nitrogen ion) in soil layer and solution collection layer by ion concentration sensor, compared with the mode of traditional determination nutrient concentration, without destroying crop or harvesting plant, realize dynamic, continuous in-situ evaluation.Determination nutrient content in soil extract (not direct soil), avoid the error caused by traditional method because of soil uneven, significantly improve data accuracy.

This invention discloses a HART circuit and a method for determining the status of its field interface. The HART circuit includes: a control interface, an adjustable power supply module, a first HART module, an isolation module, and a field interface. The first HART module is connected to the control interface and is used to generate a first control signal when a first interrogation signal is input to the control interface. The adjustable power supply module is connected to both the control interface and the first HART module, and is used to output a first power signal to the control interface and modulate the first power signal into a first HART signal in response to the first control signal. The first end of the isolation module is connected to the control interface, and the isolation module is used to isolate the signal at its first end and couple it to its second end. The field interface is connected to the second end of the isolation module. This invention enables bidirectional communication between the control room and the production site, diversifies the application scenarios of the communication function of the HART circuit, and optimizes the performance of the HART circuit.

A kind of measuring tool for fan rotor blade tip end face profile, including bottom plate, vertical support block is provided with in the top surface of bottom plate one end, the other end is provided with arc block;Vertical support block is provided with mounting bracket for clamping tenon of blade to be measured on it, after clamping, make the vertical state of corresponding engine axis of blade to be measured;The end face of arc block away from support block is set as arc surface;One end of arc block is provided with opposite table column, and one side of opposite table column is set as opposite table arc surface;The axis of arc surface, opposite table arc surface and the arc surface of the theoretical profile of blade tip of blade to be measured coincide with engine axis;Slidingly configured with slider on the arc surface of arc block, the top of slider is provided with table frame;Dial gauge is provided on the top of table frame, and the dial of dial gauge is towards the blade tip of blade to be measured.Slider slides on the arc surface of arc block, so by reading the indicated number of dial gauge, the processing size of blade tip full arc surface can be obtained.

The utility model relates to water conservancy gate technical field discloses a kind of self-adapting regulation water conservancy gate control device, including water conservancy gate frame, the inside of water conservancy gate frame is provided with gate, the inside of water conservancy gate frame is provided with the adjusting control mechanism connected with gate, the right side of water conservancy gate frame is fixedly installed with installation shell, the side of installation shell is movably provided with two adjusting struts, and the end of two the adjusting struts mutually far away is fixedly installed with connecting branch plate, the cooperation of the adjusting control mechanism, ultrasonic water level sensor and control box inside control element of being set realizes the self-adapting regulation of water level, simultaneously, by adjusting strut drive two ultrasonic water level sensors to move, it can be moved to the water level monitoring of gate front water flow gentle area, to further improve monitoring accuracy, and the movement of ultrasonic water level sensor facilitates subsequent installation, detection and maintenance operation.

This invention relates to the field of biomedical technology, specifically to HCBP6 monoclonal antibodies and their applications. This invention utilizes bioinformatics databases and online tools to analyze the structure of the HCBP6 protein, screening for highly immunogenic HCBP6 antigen peptides. Antibody 1 and Antibody 2 are obtained through immunization. The combination of Antibody 1 and Antibody 2 is used for the detection of HCBP6, exhibiting high sensitivity and good detection results. It has significant development and application value and long-term implications for the auxiliary diagnosis of fatty liver.

The application discloses a hyperspectral image target intelligent detection method, and belongs to the field of remote sensing image processing. The method comprises the following steps: selecting background training samples based on density clustering and spectral angle mapping; generating sufficient target training samples by using a random spectral band zero masking method; inputting the background training samples, a prior target and the target training samples into upper, middle and lower branches of a spectral aggregation and separation network respectively for training, and using a triple soft loss function to promote the network training to separate the background samples, the prior target and the target samples; inputting a pixel to be detected and a prior target into the upper and lower branches and the middle branch of the trained network for target detection, and outputting the network to form a final detection result. By using the application, the difference and similarity of the background and target pixels in the hyperspectral image and a prior target can be simultaneously discriminated, so that the detection result of highlighting the target and suppressing the background can be obtained.

The utility model relates to traffic detection technical field in intelligent traffic system especially, more particularly to a kind of traffic detection device based on millimeter wave radar, comprising: the picture acquisition mechanism of being set to device front end;First trigger radar and picture acquisition mechanism are sequentially arranged, detect vehicle entry condition;Second trigger radar and first trigger radar are sequentially arranged, confirm vehicle existence state;Transaction identification antenna is set after second trigger radar;Third trigger radar and transaction identification antenna are installed in same position, identify vehicle transaction success and send signal;Flow radar and third trigger radar are sequentially arranged;Gate lever and third trigger radar are communicatively connected, perform lifting action;Anti-smashing radar and gate lever are set in same position, detect vehicle after passing through and carry out relay attraction to complete gate lever pole falling action;Display is set in whole device end. The utility model greatly reduces installation complexity and long-term maintenance cost, and improves the comprehensive detection capability of the system.

The invention relates to the technical field of hydraulic engineering, and discloses a hydraulic gate inclination measurement and control device and method. An inclination detector is arranged in the middle of the upper end of a gate body; two-end tensioning assemblies are arranged in open grooves in the two ends of the gate body, and the front sides and the rear sides of the two ends of the gate body are in sliding connection with side edge tensioning sealing assemblies correspondingly. The gate body is further provided with a driving assembly used for driving the two-end tensioning assembly and the side edge tensioning sealing assembly at the same time. When it is detected that the gate body is in an inclined state, the driving assembly drives the two-end tensioning assembly and the side edge tensioning sealing assembly to act. Rubber rollers of the tensioning assemblies at the two ends abut against the side wall of the gate groove to limit left-right inclination of the gate. And rubber blocks of the side edge tensioning sealing assemblies are tightly attached to the side walls of the gate grooves to limit inclination in the front-back direction, so that the gate body automatically returns to the vertical balance state, the gate body is limited from the front, back, left and right directions, the fixing effect of the gate body is further improved, and the stability and safety of gate operation are improved.