21results about How to "Reduce Detection Complexity" patented technology

The invention discloses a PVC film performance detection method and system based on a machine vision technology, and relates to the field of PVC film detection. According to the technical scheme, the method comprises the following steps: performing visual inspection on a to-be-detected PVC film sample to obtain defect characteristic parameters of the to-be-detected sample, performing performance test on the to-be-detected PVC film sample to obtain performance index parameters of the to-be-detected sample, and performing gray correlation analysis on the performance evaluation parameters and the defect characteristic parameters to obtain the to-be-detected PVC film sample. The method comprises the following steps: acquiring a performance index of a PVC film and a defect characteristic parameter, acquiring a correlation degree between the performance index of the PVC film and the defect characteristic parameter, constructing an evaluation model according to the acquired parameter and the correlation degree, and calculating a performance evaluation quantized value of the to-be-detected PVC film through the model. According to the invention, real-time performance detection can be carried out on the PVC film in the production and processing process, and a traditional detection mode of sampling a formed finished film is not needed, so that the production and performance detection efficiency of the PVC film is improved, and the detection complexity is reduced.

The invention discloses a personnel off-post detection method and device, a storage medium and a computer program product, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a current frame monitoring image in a target monitoring scene, and transmitting the current frame monitoring image to a YOLO target detection model to obtain a first image personnel number; if the number of the first image personnel is smaller than the preset number of post personnel, detecting whether the post lacking duration reaches the preset duration or not; if the off-duty duration reaches the preset duration, detecting the current frame of monitoring image through a multi-modal target detection model to obtain a second image personnel number; and if the number of personnel in the second image is smaller than the number of post personnel, determining that personnel leaving exists in the target monitoring scene. According to the method and the device, the high efficiency of the YOLO target detection model and the high accuracy of the multi-modal target detection model are combined, so that the relatively high detection efficiency is maintained, and the accuracy of personnel off-post detection is improved.

The invention discloses an image edge detection method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: performing color gamut division on a to-be-detected image to obtain a plurality of color gamut regions; edge pixels in each color gamut area and gradient amplitudes of the edge pixels are determined, and the edge pixels with the gradient amplitudes meeting preset conditions are marked as strong edge pixels of the color gamut areas; and determining the edge of the to-be-detected image based on the strong edge pixel of each color gamut region. According to the embodiment, the image noise can be effectively processed, the detection complexity is reduced, and the image processing efficiency is improved.

The invention provides a ball mill grinding condition detection method, a storage medium and electronic equipment. The method comprises the steps that a three-dimensional vibration signal of a ball mill cylinder is collected; the three-dimensional vibration signal of the ball mill cylinder is subjected to filtering and frequency domain transformation and then input into a preset ball mill grinding condition detection model, and a grinding condition detection value is obtained; wherein the preset ball mill grinding condition detection model has a function of obtaining a corresponding ball mill grinding condition detection value according to the input three-dimensional vibration frequency domain signal data; the preset grinding condition detection model comprises a convolution layer, a deep convolution layer, a point-by-point convolution layer, an expansion convolution layer, a pooling layer, a random inactivation layer, a multi-head attention mechanism layer, a full connection layer and a softmax classifier layer which are connected in sequence. According to the scheme, the grinding condition state detection accuracy can be improved, and the detection complexity can be reduced.

The present application belongs to the field of CT tomographic reconstruction technology and artificial intelligence, and discloses a limited-angle CT reconstruction artifact suppression method based on a multi-domain feature fusion network. In view of the problem that the reconstruction result of traditional CT scanning under limited-angle conditions is prone to artifacts and structural distortion, thereby affecting the image quality and defect detection accuracy, the present application constructs a multi-domain feature fusion artifact suppression network, takes the limited-angle reconstruction result as input, and realizes artifact suppression and detail recovery through the synergistic effect of the encoder part, the decoder part, the feature enhancement part and the feature conversion part. The present application can obtain high-quality tomographic images under limited-angle conditions, effectively reduces the scanning angle and time of industrial CT detection, improves the imaging clarity and reliability without increasing the radiation dose, is suitable for industrial detection of complex structure workpieces, and has important industrial application value.

The invention discloses a lithium battery aluminum shell size detecting and positioning device and method, belongs to the technical field of lithium battery accessory production, and aims to solve the problems that an existing detecting device is single in function and low in efficiency due to the fact that clamping needs to be conducted for multiple times, and an aluminum shell is prone to deformation. Four groups of clamping parts are symmetrically arranged on the support frame, and a bidirectional screw is used for driving a first clamping plate and a second clamping plate to synchronously clamp an aluminum shell from the inner side and the outer side, so that stable positioning is realized; the internal measuring part drives a distance sensor to rotate through a stepping motor and cooperates with an electric push rod to complete inner cavity size measurement. The external measuring part adopts a similar structure to realize outer wall dimension detection, the support frame is driven by the driving motor to lift, internal and external dimension continuous measurement under one-time clamping is realized, the device reduces positioning errors, avoids aluminum shell deformation, improves detection precision and efficiency, and is suitable for lithium battery aluminum shell production quality control.

The invention discloses a quick detection method based on regular regular hexagon modulation, which is suitable for regular hexagon QAM (Quadrature Amplitude Modulation) in a communication system. The method comprises the following steps: constructing a communication system based on HQAM modulation, and configuring an additive white Gaussian noise (AWGN) channel; hQAM modulation constellation point information is extracted and stored in an information matrix, and axial coordinates (Axial Coordinates) serve as an information matrix index. The signal passing through the AWGN channel is converted into the Axial Coordines, and the AWGN channel is converted into the Axial Coordines; the value of the Axial Coordines is used for carrying out retrieval in the information matrix; if corresponding elements exist in the matrix, symbol judgment is carried out; if the corresponding elements do not exist in the matrix, judging whether the matrix indexes corresponding to the six adjacent hexagons have elements in the information matrix or not; if the corresponding elements still do not exist in the six adjacent hexagons, symbol judgment is carried out through linear detection. The invention provides a rapid detection method based on regular hexagon modulation, so that symbol judgment based on regular hexagon modulation can complete detection more rapidly and more accurately.

A method for determining system information transmission resources, comprising: receiving first indication information sent by a network device, the first indication information being used to determine a target downlink resource; acquiring the target downlink resource according to the first indication information, wherein the terminal device receives the system information sent by the network device through the target downlink resource.

The embodiment of the invention provides a wireless communication method applied to a low power wakeup signal (LP-WUS) at a base station end, and the method comprises the steps: receiving or generating at least one subgroup-based LP-WUS which comprises at least one temporary subgroup identifier (ID), transmitting the at least one subgroup-based LP-WUS to at least one subgroup user equipment (UE), and transmitting the at least one subgroup-based LP-WUS to the base station end, wherein the at least one sub-group comprises a first sub-group and a second sub-group. A wireless communication method applied to an LP-WUS at a base station end comprises transmitting at least one resource and / or parameter related to the LP-WUS before transmitting the LP-WUS to at least one UE or at least one sub-group of UEs in a cell.

The invention provides a composition and a kit for oral squamous cell carcinoma typing and application of the composition and the kit, and particularly discloses the composition which comprises a fluorescent staining marker for CBX3 protein and a fluorescent staining marker for IL1RN protein. The invention also discloses a kit containing the composition. The kit and the composition can be used for oral squamous cell carcinoma typing, and prognosis and treatment sensitivity of a patient can be predicted according to a typing structure. The composition and the kit provided by the invention adopt a small amount of genes as classification and prediction indexes, so that the detection cost and the experiment complexity are greatly reduced. Through the established extremely simple classification rule, the expression quantity ratio of CBX3 to IL1RN only needs to be detected through the immunofluorescence technology, sample typing can be rapidly completed according to the condition that CBX3: IL1RN is larger than 1 or smaller than 1, complex biological information analysis is not needed, the detection process is visual and efficient, and the clinical diagnosis efficiency and accuracy can be effectively improved.

This invention discloses a rapid test card for ABO, RhD blood typing and sickle cell anemia, comprising a card holder, a card cover, an ABD test strip, and an SCD test strip. The ABD and SCD test strips are installed in the card holder, and the card cover is affixed to the card holder. This invention can simultaneously detect ABO, RhD blood typing, and SCD. By improving sample processing, test point layout, and test strip design, it overcomes the shortcomings of existing technologies, significantly improving the accuracy, simplicity, and efficiency of the test, making it particularly suitable for point-of-care testing.

The invention discloses an oral cavity gas detection method and device for children. The method comprises the following steps: acquiring oral cavity gas detection information sets of children with different types of health state information; the oral cavity gas detection information set comprises a plurality of pieces of oral cavity gas detection information corresponding to each type of health state information; the oral cavity gas detection information comprises a hydrogen sulfide content sequence value, a methyl mercaptan content sequence value and a dimethyl sulfur content sequence value; performing correlation analysis processing on the health state information and the oral cavity gas detection information set to obtain a gas correlation model; component analysis is conducted on the collected oral cavity gas of the children, and gas component detection result information is obtained; and performing identification processing on the gas component detection result information by using the gas correlation model to obtain child health state information. According to the invention, through full detection and feature extraction of the oral cavity gas information of the child, accurate detection of the physical state of the child is realized.

The present invention provides a test strip for CAMP experiment and a preparation method thereof, which relates to the field of biomedical technology. The method comprises: mixing β-Staphylococcus aureus with a diluent to obtain a bacterial solution; ultrasonically crushing the bacterial solution to obtain a crushed solution; mixing the crushed solution with bovine serum albumin and sucrose to obtain a protective solution; mixing the protective solution with a film-forming pore-forming solution to obtain a working solution; the components of the film-forming pore-forming solution include PVA124 and CMC-Na; coating the working solution on a polyester fiber film and drying to obtain a coated fiber film; gluing the back of the coated fiber film to a plastic backing pad to obtain a test strip. When the test strip is used for CAMP test, the problem of long-term storage and management of laboratory strains in traditional methods can be solved, and the problem of room temperature storage and transportation of reagents in existing solutions can also be solved, and the problem of standardization of the experimental process can also be solved.

The invention discloses a target detection and tracking method, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected image containing personnel in a target scene by using a camera; inputting the to-be-detected image into a target detection model comprising a first detection head and a second detection head for personnel detection to obtain a personnel detection result of the target scene; adjusting the rotation angle of the camera based on the central point of the surrounding frame in the personnel detection result and the size information of the to-be-detected image; and determining whether to control a tracking device where the camera is located to move or not according to the area of the surrounding frame so as to track the personnel. According to the scheme disclosed by the invention, rapid personnel detection can be realized on embedded equipment without a neural network acceleration module, and a real-time personnel tracking effect is achieved.

The invention provides a communication method and device, and a computer readable storage medium. The communication method comprises the following steps: executing random access on a first additional random access resource; responding to the condition that the random access on the first additional random access resource is not successful and the sending times of the random access lead code do not reach the first maximum sending times; determining whether the random access process fails or not according to a first duration between the current moment and a first moment when the random access lead code is sent for the first time or a second moment when the first random access is not successful; and / or, in response to the fact that the random access on the first additional random access resource is not successful, the number of sending times of the random access lead code does not reach the first maximum number of sending times, and the available random access resource exists, continuing to execute the random access on the available random access resource. The invention provides a scheme of how to carry out random access when the access is not successful by using additional random access resources.

The present invention discloses a data receiving and sending method, equipment, device and storage medium, including: a base station sends a second configuration, and determines a first time offset; at a time point determined according to the first time offset, a communication resource is selected according to the second configuration to receive data sent by a terminal; and / or, the base station sends a fourth configuration, and determines a second time offset; at a time point determined according to the second time offset, a communication resource is selected according to the fourth configuration to receive data sent by a terminal; and / or, the base station sends a second configuration, and before the earliest effective time of the second configuration, the first configuration is used to detect data sent by the terminal, and after the latest effective time of the second configuration, the second configuration is used to detect data sent by the terminal. When the present invention is used, the base station side will not have the problem of being unable to correctly detect the uplink data sent by the corresponding terminal based on the uplink communication resource configuration. The detection complexity at the base station end can be effectively reduced, and the accuracy of data detection can be improved.

This application belongs to the field of home appliance technology and provides a garment processing device and its abnormality detection method, electronic device, and program product. In this garment processing device, a drive unit drives a roller to rotate via a belt assembly. A controller is connected to the drive unit and configured to perform the following: during the operation of the drive unit, acquire the operating parameter values ​​of the drive unit; if the operating parameter values ​​are found to meet predetermined conditions, and the number of times these conditions are met exceeds a predetermined threshold, determine that the belt assembly has slipped abnormally. The operating parameter values ​​are at least one of the current phase current value, current rotational speed value, rotational speed fluctuation amplitude value, and current output power value. This application can effectively detect belt slippage abnormalities, thereby ensuring the safe and stable operation of the garment processing device.

An odd-number groove thread pitch diameter comparator relates to the technical field of thread pitch diameter comparators and structurally comprises a ruler frame, an arc-shaped plug support, a measuring head, a lever mechanism, a dial gauge and a locking screw, the plug support is mounted at the bottom of the ruler frame, the position of the plug support can be adjusted up and down, and the measuring head is mounted on the lever mechanism. The insertion bracket is fixed on the ruler frame through a locking screw; the measuring heads comprise fixed measuring heads and movable measuring heads, the two fixed measuring heads are installed on the inserting support, the included angle between the two fixed measuring heads is # imgabs0 #, and n is an odd number. The method has the beneficial effects that high-precision measurement is achieved, the measuring head included angle and the precise transmission ratio are designed, the geometric features of five-groove and seven-groove threads are matched, the measurement problem of a traditional tool is effectively solved, the measurement precision is improved, the precision improvement magnitude is determined according to actual measurement data and industrial standard comparison, odd-groove threads are greatly improved, and the measurement precision is improved. The pitch diameter measurement accuracy of five-groove and seven-groove threads provides reliable detection guarantee for high-precision processing.

The utility model relates to the technical field of part defect detection, in particular to an industrial part defect detection device based on machine vision, which comprises a support, a driving mechanism, a collecting mechanism and a light source assembly, the driving mechanism is arranged on the support, the collecting mechanism is arranged on the support, and the light source assembly is arranged on the support. The light source assembly comprises a first camera, a second camera, a main light source, a backlight source, a fixing plate and a supporting table, the supporting table is arranged on the support, the first camera is arranged on the supporting table, the main light source is arranged on the first camera, the fixing plate is arranged on the support, the backlight source is arranged on the fixing plate, and the supporting table is arranged on the support. The second camera is arranged on the fixing plate, a sliding groove is formed in the support, a sliding plate is arranged through the sliding groove, a connecting hole is formed in the sliding plate, and a glass plate is arranged through the connecting hole. And the risk of human errors is reduced.

The invention belongs to the technical field of end plug welding seam detection, and aims to solve the problems of large calculation amount, relatively low accuracy and efficiency and the like caused by directly processing an image by a traditional image processing method when a region of interest of an end plug welding seam ray digital image is extracted. The invention discloses an end plug welding seam ray digital image region-of-interest extraction method, which comprises the following steps: carrying out image preprocessing and image enhancement on an acquired image, then carrying out semantic annotation on the image, sending the image into an improved residual module network, introducing an attention mechanism, and using a cross entropy loss function to accelerate the calculation speed and improve the model efficiency. And the improved network model is trained and is used for testing a set observation effect. According to the method, the region of interest can be effectively and accurately extracted, the detection complexity is reduced, and the detection efficiency is improved.

The present invention discloses an OTFS system symbol detection method based on a deep neural network, which mainly solves the problems of high symbol detection complexity and slow detection speed of received symbols in the prior art. The implementation steps are: 1. Obtaining a training set; 2. Constructing a neural network; 3. Using the training set to train the deep neural network; 4. Receive the time domain signal sent by the transmitter, and perform a Wigner transform on it to obtain a time-frequency domain signal; 5. Perform a sigmoid Fourier transform on the time-frequency domain signal to obtain a received symbol in the delay-Doppler domain; 6. Use the trained deep neural network to detect the received symbol to obtain an estimated value of the transmitted symbol. The present invention reduces the complexity of the overall symbol detection of the OTFS system, improves the speed of detecting received symbols, and can be used to recover the transmitted signal from the received signal of the OTFS system.