332 results about "Foreign object detection" patented technology

Disclosed in the present invention are an edge-deployed semi-supervised anomaly detection method and system for a railway track foreign object. The method comprises the following steps: an edge device encoding and decoding a video stream captured by a camera to obtain an image frame sequence, and performing frame extraction; and using a semantic segmentation model to perform image segmentation on a certain image frame obtained by means of frame extraction, to obtain a railway track region segmentation image. The use of a single image as input may generate an expert model result having a high weight value; however, the determination based on a single image is not stable, multiple consecutive images of the task scene need to be inputted, the frequency of each expert model obtaining the highest weight is computed, and the expert model corresponding to the highest frequency is the final solution. The present invention supports scene-adaptive foreign object detection algorithm automatic selection, and a user can perform selection on the basis of prior knowledge, or selection may be performed by a scene-adaptive automatic algorithm selection method; the user only needs to provide a batch of image data of the current scene, and the optimal algorithm selection can be evaluated.

The invention discloses a power transmission line foreign matter detection method and system based on multi-modal image fusion, and relates to the technical field of intelligent operation and maintenance and state monitoring of a power system, a lightweight Ev-Mama architecture is introduced into a backbone network part of YOLOv13, the model keeps relatively low calculation complexity, and meanwhile, the power transmission line foreign matter detection efficiency is improved. And the modeling capability of the method on the long-range dependency relationship and the global semantic information is obviously enhanced. Besides, by using the CDIDF module, the EVCS module and the MHSAA module, on the basis of increasing a small amount of calculation, the scale sensing ability, the space structure modeling ability and the context understanding ability of the model are effectively improved, and the performance bottleneck of a traditional YOLO series network in the aspects of processing small targets, shielding targets and cross-scale information fusion is effectively relieved.

The invention discloses a foreign matter detection method and device for a glass fiber cloth cover and a medium, and relates to the technical field of intelligent sensing, and the method comprises the steps: setting a transverse range based on a calibration value of scanning a transverse coverage width, extracting a minimum longitudinal coordinate and a maximum longitudinal coordinate of an update node, constructing a reconstruction point, and combining a reference difference to obtain a foreign matter detection result. A continuous foreign matter state field is constructed on the reconstruction points, a time window sequence is extracted based on the continuous foreign matter state field, an optimization objective function is constructed, iterative optimization is carried out, the final order and diffusion intensity of each reconstruction point are obtained, and a residual error is calculated; by introducing a time sequence judgment method based on fractional order kinetic parameter inversion, transient disturbance and real foreign matter events are effectively distinguished, the false alarm rate is reduced, and the stability of foreign matter type judgment is improved; and the space-time consistency and reliability of a foreign matter detection result under a high-speed production condition are improved.

The invention discloses an orbit foreign matter detection method and system, and relates to the technical field of orbit detection.The method comprises the steps that an unknown foreign matter model is built through Gaussian distribution and a convex hull algorithm, and a known foreign matter model is built in combination with prior data; extracting a flat area of the ballast bed, projecting the foreign body model into a depth map and generating a shadow, and superposing to obtain a synthetic image with a mark; training a segmentation network by using the synthetic image and a real image, and obtaining a potential foreign matter mask through thermodynamic diagram binaryzation, connected domain analysis and size screening during reasoning; and inherent facility false alarms are eliminated through a secondary classification network, a real foreign matter detection result is finally output, alarm is triggered according to a detected threshold value, and efficient and accurate detection is realized. According to the method, on the premise that real foreign matter samples are scarce and ballast bed scenes are complex, efficient, accurate and real-time ballastless track foreign matter detection is achieved, meanwhile, the false alarm rate is reduced, and the generalization ability of the model to unknown foreign matter is improved.

The application belongs to the technical field of target detection, and provides a mine car track foreign matter detection method and system based on a deep neural network, which comprises the following steps: acquiring real-time images and text prompt words of a mine car track; extracting hierarchical multi-modal features of the acquired real-time images; obtaining image-text fusion features of the mine car track by using the hierarchical multi-modal features obtained through multi-modal deep neural network fusion and the text prompt words; detecting whether there is foreign matter in the mine car track according to the obtained image-text fusion features of the mine car track and a preset foreign matter detection model; and when there is foreign matter, identifying the size of the foreign matter and determining the position of the foreign matter, thereby completing real-time monitoring of foreign matter in the mine car track.

Estimating friendly metal losses (PFM) associated with power transfer from a wireless power transmitter (PTx) to a wireless power receiver (PRx) can include determining PFM based on one or more circuit parameters; subtracting an effect of one or more voltage or current measurements from the determined PFM to derive a modified PFM; and determining ecosystem scaling parameters based on the modified PFM. The ecosystem scaling parameters can include scale factors based on operation of the PTx with a reference PRx; operation of the PRx with a reference PTx; and / or operation of the reference PRx with the reference PTx. Estimating PFM can further include adding the effect of at least one of the one or more voltage or current measurements from the determined PFM to derive one or more loss coefficients; and performing foreign object detection based on a PFM model including the derived loss coefficients.

The application discloses a pharmaceutical raw material foreign matter detection method and system based on image analysis and a terminal, and belongs to the technical field of pharmaceutical raw material detection. The method comprises the following steps: performing image acquisition on the pharmaceutical raw material to obtain an initial image set; performing a pre-processing operation on the initial image set to generate a basic image set; and performing a foreign matter identification operation on the basic image set to determine a basic image containing foreign matter as a foreign matter-containing image. The method excludes position offset false positives through a process of first performing position correction and then performing review identification, improves correction accuracy by dividing the foreign matter-containing image into shape groups according to the shape features of the foreign matter and calculating the average offset of the groups, and dynamically optimizes the correction process through a closed-loop feedback mechanism of generating an updated offset value after review to re-perform position correction, thereby improving the accuracy, reliability and robustness of detection.

The application is suitable for the technical field of electric power, and provides a power transmission line foreign matter detection method, device and electronic equipment. The power transmission line foreign matter detection method collects an image to be recognized containing a power transmission line to be detected at a preset position by using a drone, and then performs binaryzation processing on the image to be recognized to obtain a binaryzation image containing a power transmission line area. According to the boundary feature of the boundary line of the power transmission line area, whether foreign matter is attached to the power transmission line can be determined by matching the boundary feature with a preset boundary feature. The power transmission line foreign matter detection method can detect foreign matter on the power transmission line through the boundary feature of the power transmission line area, does not need to use a responsible neural network model, and has high detection efficiency.

The application belongs to the technical field of weak and small target recognition of nuclear power plants, aims to solve the problem that the existing target detection method is difficult to effectively detect high-speed falling foreign matters, discloses a high-speed weak and small foreign matter detection method based on event and image fusion, carries out data acquisition, constructs a real data set, calibrates the real data, constructs a simulation data set for data enhancement, constructs a cross-modal feature fusion model by using a physical model of a motion image and an event stream generation mechanism, carries out adaptive space-time alignment on the event stream and the video frame image, carries out cross-modal data complementary enhancement fusion on the event stream and the video frame image after space-time alignment, carries out training by using a target detection network, and carries out feature extraction of weak and small targets by combining local and global attention. The application can effectively detect high-speed falling foreign matters by combining event and image information, combining the instant reactivity of event data and the detail retention of image data.

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 invention relates to a wireless power transmitting apparatus, a method for operating the wireless power transmitting apparatus, and a non-transitory storage medium. According to an embodiment, a controller of a wireless power transmission apparatus may be configured to: control a power supply circuit to apply a first power to a transmission coil in a first ping operation; detecting first information related to the first ping operation when the first ping operation is executed, and storing the first information in the memory; identifying an external object placed in a charging area of a housing of the wireless power transmitting apparatus based on the first information and the reference information; detecting second information related to the first ping operation by re-performing the first ping operation, and identifying a movement of the external object based on a difference between the first information and the second information; in a second ping operation, controlling the power supply circuit to apply a second power for communicating with the object to the transmission coil; and performing an operation for foreign object detection (FOD) and an operation for transmitting power for wireless charging to an external object based on recognizing that a response is received from the object while the second ping operation is performed. Other embodiments are also possible.

The present application provides a cleaning device (100) and a foreign object detection method. The cleaning device (100) comprises a housing (1), a detection head (2), a telescopic device (3), and a detection member. A side wall of the housing (1) in a first direction is an opening wall (1b), and an opening (1c) communicated with the interior of the housing (1) is formed on the opening wall (1b); the detection head (2) is configured to detect a surrounding environment, and the detection head (2) has an extended state in which the detection head (2) extends out of the opening (1c) and a retracted state in which the detection head (2) retracts into the opening (1c); the telescopic device (3) is arranged in the housing (1), and the telescopic device (3) comprises a transmission mechanism (31) and a movable assembly (32); the movable assembly (32) is movably arranged on the transmission mechanism (31) in the first direction, the detection head (2) is arranged on the movable assembly (32), and the transmission mechanism (31) can drive the movable assembly (32) to move in the first direction, so that the detection head (2) is switched between the extended state and the retracted state; and detection ends (4) of the detection member are arranged between the opening wall (1b) and the movable assembly (32). The cleaning device (100) and the foreign object detection method that are provided in the present application can implement detection of a foreign object.

The application provides a wireless charging foreign matter detection method and device based on multi-dimensional information fusion perception. The method comprises the following steps: acquiring power data of a wireless charging transmitting end and an original infrared thermal image of a wireless charging area; processing the power data and the original infrared thermal image to obtain a thermal anomaly probability and a deviation probability; the deviation probability represents a deviation degree of a ratio between average radiation brightness of the power data and the infrared thermal image relative to an expected ratio; the thermal anomaly probability represents a deviation degree of a space temperature of the wireless charging area relative to a space temperature of the wireless charging area when there is no foreign matter; calculating a foreign matter detection probability based on the thermal anomaly probability and the deviation probability; adjusting a wireless charging mode according to the foreign matter detection probability; the wireless charging mode comprises at least one of the following: a safety mode, an alert mode and a block mode. The above scheme can realize spatial and power consumption dual-dimensional perception and fusion during foreign matter detection, and improve the accuracy of wireless charging foreign matter detection.

The utility model provides a foreign matter detection device on a konjaku flour assembly line, which comprises a first conveying mechanism, two parallel second conveying mechanisms which operate independently are arranged below the end part of the first conveying mechanism, and X-ray detection devices are arranged on the second conveying mechanisms; a partition plate is arranged between the two second conveying mechanisms, a rotating flow guide plate is arranged on the partition plate, and the flow guide plate rotates on the first conveying mechanism and is used for distributing materials on the first conveying mechanism; and a paving device is arranged between the partition plate and the second conveying mechanism, is arranged at the front end of the X-ray detection device and is used for flattening materials on the second conveying mechanism. The foreign matter detection problem caused by random stacking of materials is effectively solved, the detection efficiency and the product quality can be improved on the premise that normal production is not affected, and the safety and the stability of the production process are greatly improved.

The present invention relates to the technical field of object detection. Disclosed are a training method and apparatus for a railway foreign object phrase localization model, and a device and a medium. Cross alignment can be performed on an image feature vector and a text feature vector, so as to obtain an aligned image feature vector and an aligned text feature vector; the pair of the aligned image feature vector and the aligned text feature vector is then used to perform training, such that a model can accurately align a foreign object described in a text with a target region in an image, thereby ensuring accurate phrase localization in a complex scenario, and being applicable to fine-grained scenario description in railway foreign object detection; and a trained railway foreign object phrase localization model can thus effectively execute and complete railway foreign object phrase localization tasks, thereby effectively implementing phrase localization of railway foreign objects.

This utility model relates to a foreign object detection device before packaging of automotive crystal oscillators, including a Y-axis slide, an X-axis slide, and a vision screening component. The vision screening component is installed on the side of the Y-axis slide, which is installed on the X-axis slide. The vision screening component includes a light source backplate, a coaxial light source, a ring light source, and a shadowless light source installed on the side of the Y-axis slide. From top to bottom, a camera, a lens element, a coaxial light source, a shadowless light source, and a ring light source are sequentially installed on the side of the light source backplate. A vertically arranged cylinder is arranged at the lower part of the light source backplate, outside the coaxial light source, the shadowless light source, and the ring light source. A suction nozzle fixing component that slides up and down is installed on the side of the cylinder. The piston rod at the lower end of the cylinder is connected to the suction nozzle fixing component, and a suction nozzle is fixed on the suction nozzle fixing component. This utility model achieves high-precision scanning and analysis of every automotive crystal oscillator on the production line, accurately identifying and removing foreign objects or defects, and preventing defective products from flowing out at the source.

The utility model relates to the technical field of instant freezers, and discloses a double-spiral instant freezer with an image recognition function. The technical problems that in the prior art, traditional freezing equipment usually occupies a large area and is low in freezing efficiency, foreign matter detection depends on manpower in the freezing process, and the labor cost is high are solved. Two rotating disc assemblies are arranged at the positions, facing coil pipes, of the two sides of the evaporator, a double-helix conveying belt is installed on the rotating disc assemblies, an image recognition module is arranged on the double-helix conveying belt, the image recognition module comprises an image collector and an image processor, and a deep learning model is loaded in the image processor to detect and recognize foreign matter. The image processor is connected with the foreign matter removing structure through the controller. The double-spiral conveying belt is adopted, the freezing efficiency and the space utilization rate are improved, the image recognition module is inherited, foreign matter is detected in real time in the product freezing process, and the view screen safety and the product quality are improved.

This invention relates to the field of intelligent driving and path planning technology, and particularly to an autonomous driving path planning method based on tire trajectory strip pre-aiming. The method includes acquiring vehicle control parameters and constructing tire trajectory strips for each tire accordingly; collecting road environment information in real time through an onboard perception module to construct a two-dimensional grid map for foreign object detection on each tire trajectory strip; classifying the detected foreign objects by category and hazard level, and constructing a hazard intensity grid map; constructing a trajectory strip mask for each tire based on the two-dimensional grid map, and calculating the tire safety risk index for each tire in conjunction with the hazard intensity grid map; and performing path risk assessment and optimization based on the tire safety risk index. This invention, by constructing tire trajectory strips and introducing a pre-aiming mechanism, refines safety considerations to the tire level, which is in direct contact with the road surface, thereby improving tire lifespan and vehicle driving safety.

The invention relates to the technical field of positive electrode material foreign matter detection, and particularly discloses a technology for detecting the number and content of foreign matters in an explosion-proof positive electrode material of a lithium battery. The method comprises the following steps: sampling a plurality of ton bags, uniformly dispersing a to-be-tested sample by taking absolute ethyl alcohol as a dispersing agent, and putting the to-be-tested sample into an ultrasonic machine by adopting a screen for ultrasonic screening until no obvious material residue exists on the screen; washing residues on the sieve with ultrapure water, carrying out suction filtration, and observing and acquiring quantity information of foreign matter particles through a cleanliness instrument; and finally, performing microwave digestion on impurities on the filter membrane, and testing the content of impurity elements by virtue of an inductively coupled plasma emission spectrometer, so that the interference of main elements in the sample is effectively eliminated. The method can realize efficient separation and accurate analysis of foreign matters in the positive electrode material, is high in detection sensitivity and simple and convenient to operate, can be widely applied to the quality control link of the positive electrode material, and provides reliable detection support for improving the safety performance of the positive electrode material.

The application discloses a track foreign matter detection device, a detection system and a detection method, wherein the detection device comprises a three-dimensional laser radar module, which is used for real-time scanning of a monitoring area through laser; an image acquisition module, which is linked with the three-dimensional laser radar module, and is used for image acquisition of foreign matter when the three-dimensional laser radar module scans the foreign matter; and a data processing module, which is used for obtaining and storing information obtained by the three-dimensional laser radar module and the image acquisition module, comparing two-phase laser point cloud data obtained by the three-dimensional laser radar module before and after the foreign matter invades the track, and judging whether there is an influential foreign matter.

A method of receiving power by a wireless power receiver, the method including transmitting, to a wireless power transmitter, a plurality of packets including a foreign object detection (FOD) status packet; and receiving, from the wireless power transmitter, a response signal indicating whether a foreign object is present in a charging area of the wireless power transmitter, wherein the response signal is determined using a measured peak frequency of a power signal transmitted by the wireless power transmitter and a reference peak frequency included in the FOD status packet received from the wireless power receiver, and wherein the plurality of packets further include at least one of a signal strength packet, an end power transfer packet, a power control hold-off packet, a configuration packet, an identification packet for transmitting receiver identification information, an extended identification packet, a general request packet, a special request packet, a control error packet, a renegotiation packet, a 24-bit received power packet, an eight-bit received power packet, and a charging status packet.

This foreign matter detection system is provided with: an imaging device (9) that acquires an image within a target region (A); transmissive sections (7, 8), the outside of which can be seen from the inside of the target region (A); and polarizing filters (10a, 10b) on the light path from the transmission sections (7, 8) to the imaging device (9). A polarizing filter (10a) on the front side with respect to the imaging device (9) and a polarizing filter (10b) on the rear side with respect to the imaging device (9) are provided so that the polarization directions intersect each other. On the basis of the image acquired by the imaging device (9), the foreign matter (F) in the target region (A) is detected.

The invention relates to the technical field of power transmission channel foreign matter identification, and discloses a power transmission channel foreign matter hidden danger high-precision rapid discrimination and alarm method, which comprises the steps of performing irregular foreign matter target feature extraction on video stream image data, performing feature matching based on an extracted irregular foreign matter target feature map, and executing foreign matter detection. And foreign matter state change trend perception is carried out on the irregular foreign matter detection result, foreign matter approximate distance estimation is carried out, grading alarm is carried out, and a foreign matter grading alarm result is obtained. The method solves the problem that a traditional algorithm is poor in detection rate of long-distance small targets and irregular foreign matters, improves the effectiveness of foreign matter alarm, effectively reduces the risk of external damage through precise recognition of floating foreign matters at the initial stage of hidden dangers, and improves the operation safety of a power grid.

The invention provides a device and method for detecting foreign matters on the inner surface of a long pipe, and the device comprises a body which is provided with a workbench; wherein the workbench is provided with a storage rack, a cleaning mechanism and a detection assembly; a to-be-detected long pipe is placed on the storage rack, the cleaning mechanism is used for cleaning impurities on the inner surface of the to-be-detected long pipe, and the detection assembly is used for collecting detection parameters of the to-be-detected long pipe; a feeding mechanism is arranged in the body, the feeding mechanism comprises a movable bearing frame, a plurality of stations used for fixing the long pipe to be measured are arranged on the bearing frame, and the feeding mechanism drives the bearing frame to feed the long pipe to be measured. And the long pipe to be detected is conveyed to the corresponding stations of the cleaning mechanism and the detection assembly in sequence. According to the device and the method for detecting the foreign matters on the inner surface of the long pipe, the problems of unclear imaging and low detection result accuracy of the device for detecting the foreign matters on the inner surface of the long pipe are solved.

The utility model provides a foreign matter detecting and removing device used before hesperidin finished product packaging, and belongs to the technical field of hesperidin processing. Comprising a conveying channel, materials are conveyed in the conveying channel through negative pressure suction, a foreign matter detector and a filtering assembly are arranged on the conveying channel, the filtering assembly comprises a filtering channel, a movable cylinder slides in the filtering channel, the movable cylinder comprises a partition plate and filtering cylinders coaxially and rotatably arranged on the two sides of the partition plate, and filtering pieces are arranged on the filtering cylinders; and a collecting assembly for collecting impurities filtered out by the filtering piece is arranged on the filtering channel. Impurities in hesperidin powder passing through the conveying channel can be filtered out through the filtering piece, when the foreign matter detector detects that the impurities pass through, the movable barrel is controlled to move in the filtering channel in a delayed mode, the other filtering barrel is moved into the conveying channel alternately, the filtering barrel with the impurities dumps and collects the impurities through rotation, and therefore the impurities can be filtered out through the filtering piece. The hesperidin powder filtering device has the effect of filtering hesperidin powder under the condition that equipment is not stopped.

The application discloses a foreign matter detection circuit applied to a wireless charging system transmitting end and a method thereof, and the circuit comprises a sampling circuit, a linear voltage stabilizing source, two comparators and a microprocessor; wherein the linear voltage stabilizing source is responsible for charging a resonant cavity circuit, the sampling circuit samples a resonant waveform, filters out a negative voltage and outputs the same to the comparators, the comparators extract resonant frequency, resonant time and peak value information, and the microprocessor calculates a Q value through the information and performs foreign matter detection judgment. The application can not be affected by a specific structure resonant cavity, a delay of a wireless charging system transmitting end full-bridge inverter driving circuit and a comparator offset voltage in the foreign matter detection circuit, and can realize extremely high foreign matter Q value detection precision under a higher resonant frequency, and has important significance for improving a safety coefficient of wireless charging system application.

The invention relates to a piston appearance detection device, and belongs to the technical field of automobile part detection. The piston detection device comprises a feeding mechanism, a detection mechanism, a discharging mechanism, a feeding clamping mechanism and a discharging clamping mechanism, and the detection mechanism is arranged at the front end of the feeding mechanism in the piston conveying direction; the detection mechanism comprises a code reading unit used for reading codes of the piston, a cleaning unit used for purging an inner hole of the piston, an inner hole foreign matter detection unit used for detecting foreign matter in the inner hole of the piston, an appearance detection unit used for detecting the appearance of the piston and an outer diameter detection unit used for detecting the outer diameter of the piston, the small hole detection unit is used for detecting small holes formed in the pistons, the marking unit is used for marking the pistons, and the conveying unit is used for conveying the pistons; the discharging mechanism is arranged at the front end of the detection mechanism, the feeding clamping mechanism is arranged on one side of the feeding mechanism, and the discharging clamping mechanism is arranged on one side of the discharging mechanism. The piston detection device has the effect of improving the piston detection efficiency and the detection comprehensiveness.

This invention discloses a terahertz-band foreign object detection radar system and method for airport runways. The system includes: a transmitting module for generating and transmitting a 240 GHz frequency-modulated continuous wave detection signal; a receiving module for receiving the echo signal and down-converting it to an intermediate frequency signal; a turntable system for driving the transmitting and receiving modules to rotate synchronously for azimuth scanning; and a digital control and processing module for generating baseband waveforms, acquiring angle information and intermediate frequency signals, and performing data processing to detect and locate foreign objects. This invention utilizes the physical law that the radar cross-section of a target is inversely proportional to the fourth power of its wavelength, fundamentally enhancing the electromagnetic scattering response of small targets and achieving high-sensitivity detection of millimeter-sized metal debris and non-metallic foreign objects, providing a reliable technical solution for foreign object detection on airport runways.

A controller applied to a wireless charging device, wherein the controller is used for acquiring first information, the first information being related to an actual relative position of an electronic device on a transmitting coil, and the actual relative position being a three-dimensional position; the controller is further used for determining, on the basis of the first information, a threshold value for performing foreign object detection when the electronic device is at the actual relative position of the transmitting coil; and the controller is further used for performing foreign object detection on the basis of the threshold value. Since the threshold value is information related to the actual relative position, the use of the threshold value is more accurate compared with the use of a fixed threshold value, and thus the precision of foreign object detection and device compatibility can be improved; moreover, the threshold value is a value related to a three-dimensional position, and therefore the accuracy of the threshold value can be improved.