76 results about "Dynamic Scan" patented technology

The invention discloses an anti-shielding three-dimensional scanning measurement field construction method for large-size measurement, and belongs to the technical field of optical three-dimensional measurement. The method comprises the following steps: firstly, performing adaptive sampling based on geometric features of a workpiece to generate a candidate mark point set; secondly, constructing a virtual measurement scene, simulating a dynamic scanning process by using a ray tracing technology, and calculating the visibility and observation quality of each point under multiple viewpoints; then measuring precision is quantified by using a Fisher information matrix, and a layout optimization model which takes maximization of information gain as a target and meets coverage rate and engineering constraint at the same time is established; and finally, solving the model to obtain an optimal mark point subset, and verifying and outputting the optimal mark point subset. According to the method, the problems of measurement interruption, low point distribution efficiency and difficulty in guaranteeing precision caused by shielding of a large-size complex component in scanning are solved, and automatic construction of a high-robustness and high-precision measurement field is realized.

The invention discloses a laser measurement system suitable for a large complex curved surface and a measurement method thereof.The measurement system comprises a control module, a positioning module, a pre-scanning module and a high-precision scanning module, and the control module comprises a high-precision scanning planning unit and a scanning analysis unit; the high-precision scanning module comprises a three-dimensional scanning platform, a universal mechanical arm and a distance measuring laser; the measurement method comprises the steps of pre-scanning to generate an initial model, scanning path planning and scanning attitude control, high-precision scanning to collect point cloud data, preprocessing and marking of the high-precision scanning point cloud data, local optimization and supplementary scanning strategy generation and high-precision scanning model generation. According to the measurement system and method, the dynamic scanning path of the high-precision scanning module is intelligently planned based on the pre-scanning result, the pre-scanning and high-precision scanning strategies are combined, high-density coverage and uniform sampling of the large complex curved surface are achieved, measurement is accurate, the anti-interference capacity is high, and the model scanning precision is high; a dynamic supplementary scanning mechanism is automatically marked and triggered in the scanning process, and the quality of scanned data is ensured.

The invention discloses an online visual detection method for appearance defects of a compressor wiring structure, and relates to the technical field of machine visual detection and intelligent manufacturing, and the method comprises the following steps: before a robot enters a supplementary shooting area, scanning a compressor shell through low-angle light, extracting a continuous reflection streamline formed on a metal surface, marking a reflection strong point, and carrying out the detection of the appearance defects of the compressor wiring structure; and a reflective track band is generated as a path reference for image acquisition. Through operations such as dynamic scanning, reflection-avoiding modeling and circular scanning linkage, a closed-loop control strategy is constructed, metal reflection is actively recognized and avoided, character definition and recognition stability are improved, compressor batch tracing completeness is ensured, the recognition failure rate and the manual recheck rate are remarkably reduced on the premise of not influencing the rhythm, and the compressor batch tracing efficiency is improved. And the detection automation and quality control capability is improved.

This invention relates to the field of industrial visual inspection technology and discloses a visual inspection device for surface defects of stator and rotor laminations after fine grinding. It aims to solve the problems of neglecting burr detection on the lamination surface of existing stator laminations, and the issues of reflective interference, efficiency bottlenecks, and difficulty in balancing reliability and high cycle time in double-sided inspection. The device includes a conveying component, a support frame, a limiting component, a visual recognition component, and a projection lamp. By vertically conveying and positioning the motor stator and rotor laminations and fixing them with a V-shaped clamp, combined with a dual inspection method of projected shadows and direct imaging of the lamination surface, it overcomes reflective interference and reduces the risk of false positives and missed detections. The visual inspection sensor dynamically scans to achieve continuous inspection, improving inspection cycle time and throughput, adapting to large-scale online production, avoiding missed detections, preventing insulation damage during lamination, and ensuring motor efficiency, reliability, and service life.

The invention discloses a converter station steel structure dynamic monitoring and tracking inspection method based on artificial intelligence, and belongs to the technical field of steel structure monitoring and tracking. Comprising the following steps of S1, determining a monitoring object and a scene, S2, building an AI-driven'unmanned aerial vehicle + multi-modal sensor 'dynamic scanning system, S3, performing real-time scanning and AI analysis, S4, performing edge calculation and environment adaptive optimization, S5, improving damage identification precision through federated learning, and S6, improving scene universality through digital twinning. The accuracy, efficiency and adaptability of converter station steel structure monitoring are comprehensively improved, safe and stable operation of a converter station is effectively guaranteed, powerful support is provided for intelligent development of the power industry, an AI-driven'unmanned aerial vehicle + multi-mode sensor 'dynamic scanning system is built, low-altitude close-type global scanning of the steel structure is achieved, and the system is suitable for large-scale popularization and application. And the monitoring comprehensiveness and accuracy are greatly improved.

The invention relates to the technical field of intelligent detection, and discloses a multi-modal X-ray-based cable intermediate joint defect detection method and system, and the method comprises the steps: carrying out the multi-modal X-ray data collection of a cable intermediate joint through a dual-energy-spectrum X-ray dynamic scanning protocol; preprocessing the acquired image data, wherein the preprocessing comprises contrast enhancement and noise suppression; performing three-dimensional reconstruction based on the preprocessed image data, and extracting defect features; and carrying out classification and identification on the extracted defect features by using an improved convolutional neural network. According to the method, the cable intermediate joint is detected by adopting an X-ray penetrating imaging mode at the cable intermediate joint, and the defects and defect hidden dangers of the cable intermediate joint can be effectively detected through methods of image processing, defect identification and the like.

The application discloses a pipe network prediction and intelligent decision system based on physical spectrum sensing and dynamic scanning, which deeply mines the correlation characteristics among multi-source data through dynamic physical spectrum decomposition and frequency domain adaptive topology evolution technology, effectively overcomes the problems of sensor noise interference and data deviation, simultaneously introduces a HydroScan-SSM model, effectively captures the long-term dependence relationship in the time sequence, accurately captures the coupling evolution law of the water quality parameters and the pipe network structure, finally, in view of the pipe network intercepting valve control scene, combines the pipe network data characteristics and intelligent decision demand, uses an intelligent decision framework based on dynamic data driving, realizes the dynamic optimization of the intercepting valve control strategy through real-time data fusion and machine learning algorithm, and effectively avoids the problems of misdischarge, leakage and untimely discharge.

The invention relates to a seamless splicing grating, in particular to a method for manufacturing a seamless splicing grating based on a dynamic straight-edge diaphragm, which comprises the following steps of: aligning the edge of the dynamic straight-edge diaphragm with a splicing seam position mark on one side of a substrate, performing simple harmonic motion on the dynamic straight-edge diaphragm along the direction vertical to the splicing seam, realizing dynamic scanning and completing first interference exposure; the edge of the dynamic straight-edge diaphragm is aligned with the abutted seam position mark on the other side of the substrate, stripe locking is carried out by utilizing the grating latent image reserved by the first exposure, so that the dynamic straight-edge diaphragm carries out simple harmonic motion in the direction perpendicular to the abutted seam, dynamic scanning is realized, and second interference exposure is completed; carrying out unified development on the exposed substrate to obtain a photoresist grating mask without splicing seams, and transferring a grating structure on the mask to a dielectric substrate; according to the technical scheme, the defects that in the prior art, due to abutted seam modulation, the laser damage resistance is poor, and the machining difficulty is large can be effectively overcome.

The invention belongs to the field of airborne radar target detection, and relates to a dynamic scanning graph generation method and device with a fixed height area. The method comprises the following steps: S1, determining an azimuth scanning boundary of a target according to an azimuth angle of an inertial system scanning center, an inertial system azimuth scanning range and a radar array inertial system azimuth capability boundary; s2, calculating according to a pitching scanning height range which needs to be covered by the aerial carrier in the pitching direction to obtain an upper boundary and a lower boundary of a pitching scanning angle range of the aerial carrier; s3, determining the number of pitching lines and the number of wave bits of each line according to the azimuth scanning boundary and the upper and lower boundaries of the aerial carrier pitching scanning angle range; s4, generating a beam position dot matrix and storing a scanning graph; and S5, judging whether the wave position point in the wave position dot matrix at the current moment is within the scanning range of avionics issuing, if so, executing the wave position search, and otherwise, traversing the next wave position point. The adaptive capacity of the radar system to the dynamic airspace environment is improved.

This invention relates to a dynamic scanning compensation method and DNA synthesis device based on inkjet printing, belonging to the field of DNA synthesis. By applying threshold segmentation, connected component analysis, and circular Hough transform to a standard analysis image, a circular region for each reaction site is obtained. Based on the distance of all edge points of each reaction site from the center of the circular boundary, it is determined whether each reaction site meets the roundness requirements, thus obtaining information on missing reaction sites. Simultaneously, to address potential inaccuracies after the circular Hough transform, the results are calibrated using the YOLO target detection model based on a convolutional neural network, achieving high-precision detection of missing reaction sites suitable for industrial applications. Furthermore, by adding recognition weights for defective reaction sites such as those with "partially excessive distances from the center" during YOLOv6 model training, the compatibility between the two is further improved, enhancing detection accuracy and meeting the requirements of high-precision DNA synthesis.

The application discloses an automobile wire harness terminal ultrasonic welding method and belongs to the field of automobile manufacturing. The welding method specifically comprises the following steps: I, before welding, collecting information of the terminal and the wire, establishing a digital simulation model of each terminal, simulating the welding process, and predicting welding defects; II, in the initial stage of the terminal and the wire being pressed, performing dynamic scanning on the contact surface, constructing a micro contact resistance distribution map, and identifying a high contact resistance area; the application realizes systematic and closed-loop control of the welding process, avoids limitations caused by single-link optimization, ensures stable welding quality under process fluctuations and material differences, avoids energy waste, realizes higher energy efficiency utilization, reduces dependence on manual experience, improves the strength and conductivity of the welding point, and reduces the scrap rate caused by defects.

This utility model discloses a monitoring device for bookshelves, including a slide rail, a circulating moving component, and a scanning component. The slide rail is positioned above the bookshelf along the book arrangement direction. The rolling end of the circulating moving component is connected to the slide rail. The scanning component is connected to the hanging end of the circulating moving component. The circulating moving component is configured to drive the scanning component to move back and forth along the slide rail. The scanning component is configured to scan and read the electronic tag information of the books arranged on the bookshelf. By using the circulating moving component to drive the scanning component to scan back and forth above the books, the signal covers the entire bookshelf while reducing the number of monitoring devices required, thus lowering the cost. Furthermore, the dynamic scanning method improves the accuracy of the scanning monitoring.

The invention discloses a light-emitting substrate and a driving method thereof, a backlight module and a display device. The light-emitting substrate comprises a plurality of light-emitting devices, a plurality of control lines and a plurality of signal channels. Wherein the light-emitting devices are sequentially arranged in series, the same control line is electrically connected with the input ends of at least two light-emitting devices, and different control lines are electrically connected with the input ends of different light-emitting devices. The different signal channels are electrically connected with the output ends of the different light-emitting devices. A plurality of control lines are arranged on a light-emitting substrate, at least two of the control lines are circularly scanned, and at least part of signal channels corresponding to the scanned control lines in a plurality of output channels are simultaneously scanned, so that light-emitting devices electrically connected with the scanned control lines and the signal channels are sequentially lightened; therefore, the dynamic scanning driving of the light-emitting substrate is realized, the number of used driving chips can be obviously reduced, the wiring complexity is greatly reduced, and the wiring space is saved.

This disclosure relates to the fields of industrial automation and machine vision technology, and in particular to a dynamic scanning positioning and grasping system and method based on J1-axis follow-up vision. The system includes: a robotic arm having a J1 axis and a rotating base that rotates synchronously with the J1 axis; an end effector mounted at the end of the robotic arm for grasping a workpiece; a follow-up vision assembly including a global vision unit whose field of view covers the working area of ​​the end effector; and a control assembly communicatively connected to the robotic arm, the end effector, and the global vision unit. This solution addresses the problems in existing technologies such as difficulty in adapting to non-standard sized sheet metal, high reflective interference, high height measurement costs, low operating efficiency, and unstable long-term grasping accuracy.

A robotic system is integrated with the laparoscope effectively creating a 3D scanner which can be used during laparoscopic surgery. This enables advanced surgical navigation and visualization to aid with the surgical process. It also acts as a core data set to be used by the Digital Health Platform. This acts as the starting point for Virtual Reality reconstruction of the surgical procedure for both real time surgical guidance and advanced AI / ML development. Furthermore, diagnostic capabilities could also be integrated into the system to enable real time diagnostic data to be generated for use during the procedure. Coupling the diagnostic capabilities with the vision system of the laparoscope and the ground truth reference coordinate system of the robot enables quick Augmented Reality visualization through the Digital Health Platform.

The invention relates to the technical field of material detection, and discloses an accurate target positioning method and system for flaw detection, and the method comprises the steps: synchronously collecting multi-source flaw detection signals, carrying out the preprocessing of the multi-source flaw detection signals, obtaining a standardized signal sequence, carrying out the fusion analysis of the standardized signal sequence, and generating a fusion feature map; recognizing a suspected defect area according to the fused feature map to obtain a preliminary defect positioning coordinate set, sorting the preliminary defect positioning coordinate set based on the coordinate feature saliency of the fused feature map, generating a priority scanning path, and calculating the signal confidence of the priority scanning path in real time, the priority scanning path is dynamically adjusted based on a preset self-adaptive threshold value to obtain a dynamic scanning path, and multi-angle cross validation is performed on a scanning result of the dynamic scanning path to obtain a final positioning result; according to the method, through feature-level dynamic fusion of the multi-source signals, the recognition sensitivity and positioning precision of complex defects are remarkably improved.

This invention discloses an intelligent defect detection system and self-healing method for RFID tags on flexible substrates, belonging to the field of IoT electronic device manufacturing technology. The system integrates a high-resolution image acquisition module, a multispectral sensor array, and a robotic arm motion platform to construct a three-dimensional dynamic scanning system, capturing the surface and internal structural features of the flexible substrate in real time. A deep learning-based defect recognition algorithm, combined with multi-scale convolutional neural networks and transfer learning techniques, achieves accurate classification of 12 types of defects, including microcracks, conductive layer fractures, and substrate deformation, with a detection accuracy of 99.2%. A dual-mode self-healing mechanism is proposed: for conductive layer defects, nano-silver conductive colloid is injected through microfluidic channels, and 3D structural reconstruction is achieved using a controllable temperature field; for substrate damage, a photoresponsive shape memory polymer patch is used, which achieves molecular-level bonding repair after activation by ultraviolet light. This solution improves detection efficiency by more than 5 times, and the RF performance of the tag recovers to 98.7% of its initial value after self-healing.

The utility model discloses a mobile desktop CT detection machine, including the shallow, still install the revolving table on the shallow, and still arrange the detection box on the revolving table, still arrange the flat -panel detection mechanism and the light pipe emission mechanism in the detection box, and the flat -panel detection mechanism is opposite to the light pipe emission mechanism arrangement, still install the product bearing mechanism in the detection box, and the product bearing mechanism is arranged between the flat -panel detection mechanism and the light pipe emission mechanism. The utility model discloses through miniaturization design and structure optimization, greatly reduced cost, at the same time, is equipped with shallow, is convenient for moving, to be applied to different use scene, and adopts the mode of mutual cooperation of the stage 360 degree rotation and Z axle movement structure, can realize the full surface dynamic CT scanning detection of product, and the detection efficiency is high.

A back-up assist system for coupling a work vehicle with an adjustable implement mounting arrangement and an implement having a vision system, a user interface, a repository module, and a processor. A plurality of markers are provided on the adjustable implement mounting arrangement and the implement. The vision system scans each of the marker to generate corresponding pre-scanned signals and dynamic-scanned signals, respectively, in the implement attached configuration and the implement detached configuration. The back-up assist system and the method thereof, helps in guiding the tractor to connect with the implement with precision without necessitating additional manpower for such activity.

The invention discloses a dynamic multi-source heterogeneous data analysis method and a computer product. The method comprises the following steps: step 1, uploading or inputting protocol format definition; step 2, performing duplicate removal comparison; step 3, analyzing data, reading the stored DSL definition, performing static verification, and constructing a protocol AST; step 4, dynamically scanning and loading Spring Bean corresponding to AST, if the Spring Bean is loaded, entering step 6, otherwise, entering step 5; step 5, triggering a refreshing process for the Spring Bean of which the configuration is changed through a Spring event mechanism to form a new or updated analyzer Bean; step 6, starting a Spring WebFlux / Netty server or a message subscription endpoint, and asynchronously receiving the binary data stream; and step 7, analyzing the structured data, and pushing the analyzed structured data to a predetermined output channel. According to the method, the problem that traditional heterogeneous data analysis is insufficient in flexibility and the problem of hot updating of a multi-protocol analyzer are solved, protocol analysis logic can be updated under the condition that system operation is not affected, and therefore the scene requirement of multi-protocol parallel analysis is met.

This invention discloses a method and system for detecting surface defects in a transparent hood based on three-dimensional scanning, belonging to the field of three-dimensional optical measurement technology. The method includes steps such as optical characteristic pre-scanning and partitioning, adaptive viewing angle planning and dynamic scanning, scattering sensing registration and signal separation, surface reconstruction and defect extraction. By establishing an anisotropic scattering model and calculating the scannability index, this invention solves the technical problem of traditional scanning viewing angle planning that only considers geometric visibility while neglecting the optical characteristics of the transparent material. It achieves an improvement in scanning viewing angle from geometric reachability to optical detectability, increasing the point cloud integrity rate and multi-view stitching accuracy in areas with high curvature. By dynamically adjusting laser power, exposure time, polarization state, focal length, depth of field, and sampling density in real time based on optical characteristic partitioning, it achieves adaptive matching between scanning parameters and the material's optical response, effectively suppressing subsurface scattering interference and improving the microcrack detection rate.

The invention relates to the technical field of network space detection, in particular to a dynamic scanning method for an IPv6 address aiming at EUI-64 format characteristics. According to the method, the active address discovery hit rate and the scanning resource utilization rate are remarkably improved under the limited scanning budget by deeply mining, utilizing EUI-64 structured features and manufacturer association features and combining mechanisms such as dynamic resource allocation, moving average reward feedback and node targeted extension; therefore, the defects of an existing IPv6 scanning technology in feature utilization, resource allocation, strategy stability and detection efficiency are overcome, and the method is better adapted to a scene in which EUI-64 addresses widely exist in a real IPv6 network.

This invention discloses a non-inertial navigation mobile indoor volume measurement and 3D reconstruction method, equipment, and computer-readable medium, belonging to the interdisciplinary field of precision engineering measurement, computer vision, and digital twin technology. The method includes the following steps: S1, dynamic scanning data acquisition; S2, adaptive data augmentation and cleaning; S3, trajectory and depth calculation based on motion continuity constraints; S4, cross-sectional topology construction and closure constraints; S5, 3D solid modeling preserving volume characteristics; and S6, precise volume calculation based on the solid model. This invention employs the aforementioned non-inertial navigation mobile indoor volume measurement and 3D reconstruction method, equipment, and computer-readable medium, and through a single-line 2D LiDAR combined with innovative algorithms, achieves mobile high-precision volume measurement and high-fidelity 3D reconstruction of irregular indoor spaces under low-cost hardware conditions.

The invention discloses an X-ray scanning and image fusion method for OH defect detection of a 3C lithium battery, and relates to the field of defect detection. The X-ray scanning and image fusion method for OH defect detection of the 3C lithium battery comprises the steps of battery row fixing and arrangement, station moving and positioning, equipment parameter calibration and setting, dynamic scanning and image acquisition, image preprocessing and region extraction, gradient calculation and data optimization, clear image frame screening and image fusion and result output. According to the X-ray scanning and image fusion method for OH defect detection of the 3C lithium battery, a full-process efficient detection framework of fixation, movement, scanning, processing and fusion is constructed, the tedious process of traditional CT thousand-frame-level image reconstruction is abandoned, the data processing amount is greatly reduced by focusing gradient feature screening of a cathode and anode core area, and the detection efficiency is improved compared with that of a traditional method.

The invention provides a dental image segmentation method and system based on a frequency domain enhancement and dynamic scanning mechanism, the method is constructed on a visual state space model framework, and the core comprises a dynamic scanning part and a frequency domain enhancement part, the dynamic scanning block adaptively adjusts a sampling position and a scanning sequence through a trainable offset prediction network, dynamic scanning based on image content is realized, spatial continuity is kept, and the structural characterization capability is improved; frequency domain enhancement is combined with wavelet decomposition and spectrum pooling technologies, high and low frequency characteristics are balanced, and intermediate frequency components are enhanced, so that accurate boundary positioning and structure identification are still kept under unfavorable imaging conditions such as noise, light reflection and uneven illumination. Compared with the existing dental image segmentation method, the method provided by the invention can generate high-quality tooth, gingival and oral cavity tissue segmentation masks. The method can be widely applied to the fields of digital dental diagnosis, treatment planning and intelligent medical image analysis, and has relatively high practical value and popularization prospect.

This invention provides a robot full-path coverage planning method, apparatus, and robot. The method determines a first path by scanning a first region, enabling the robot to move based on the first path. In response to collision commands received during movement, the first region is re-scanned to determine a second path and then the first path is redefined, allowing the robot to move based on the second path. Once the robot has completed traversing the second path, it reverts to moving based on the first path. The proposed solution can acquire environmental information in real time and plan paths based on current environmental conditions, helping the robot to promptly detect and avoid obstacles, preventing collisions and stalls caused by path planning errors. Through dynamic scanning and path adjustment, it effectively responds to environmental changes or uncertainties, reducing errors and obstacle interference, thereby efficiently and comprehensively achieving full-path coverage within the area.

This invention discloses a virtual simulation method and system for marine radar, comprising the following steps: constructing a virtual test environment consistent with the real marine environment, including an unmanned vessel, marine radar, and maritime targets; using a quaternion calculation method to transform measurements in the local coordinate system of the virtual radar to the world coordinate system; determining the radar field of view through horizontal and vertical scanning coverage; realizing simulated ray tracing and collision detection of the marine radar beam; calculating echo distance and angle, calculating echo intensity, and generating standardized radar echo data records; dynamically adjusting the echo intensity through adjustable gain control and range compensation mechanisms, and mapping the echo data to a color space; persistently storing and time-attenuating the echo data to simulate radar afterglow effects; and drawing range rings, azimuth markers, and dynamic scan lines on the radar display interface to construct a complete radar visualization system.

The invention discloses an on-line plasma treatment method for an automobile door and window sealing strip, and relates to the technical field of automobile part manufacturing, a to-be-treated sealing strip is sent into an integrated on-line treatment platform, the type and degree of surface pollutants are recognized through an AI visual recognition system, and a three-dimensional dynamic scanning system establishes a sealing strip real-time position coordinate model; atmospheric pressure plasma jet is adopted, power is adjusted in a self-adaptive mode based on the recognition result in the first step, and the release agent and oil stains on the surface of the sealing strip are removed through plasmas. According to the invention, full-process automation is realized through an integrated online processing platform, and AI visual identification and three-dimensional dynamic scanning are combined to ensure processing accuracy; power self-adaptive adjustment and multi-plasma mode switching are achieved, and efficient removal and surface activation of pollutants are achieved; the functional coating deposited through vaporization and atomization dual-mode precursor conveying has excellent hydrophobic, oleophobic and anti-aging performance. The surface treatment efficiency and quality of the sealing strip are integrally improved, and the large-scale and high-quality production requirements of automobile parts are met.

This invention discloses a dynamic scanning image stitching method, apparatus, device, and storage medium. The method includes: acquiring a sequence of images generated by a line scan camera dynamically scanning a moving target; segmenting each frame of the sequence of images using an improved SAM model to obtain a target segmentation mask. The improved SAM model is a three-level cascaded architecture model obtained by introducing a coarse localization module, a fine segmentation module, and an edge refinement module into the SAM model; and correcting and stitching the sequence of images according to the target segmentation mask to generate a complete stitched image of the moving target. Because the improved SAM model of this invention is a three-level cascaded architecture model obtained by introducing a coarse localization module, a fine segmentation module, and an edge refinement module into the SAM model, it enables the identification and correction of random misalignments and missing parts in the dynamic scanning sequence of images, thereby improving the accuracy and completeness of image stitching.

The application discloses a compressor wiring structure appearance defect online visual detection method, relates to the technical field of machine vision detection and intelligent manufacturing, and comprises the following steps: before a robot enters a retake area, a low-angle light is used to scan a compressor shell, continuous reflection streamline formed on a metal surface is extracted, strong reflection points are marked, and a reflection track band is generated as a path reference for image acquisition. Through operations such as dynamic scanning, reflection avoidance modeling and ring scanning linkage, a closed-loop control strategy is constructed, metal reflection is actively identified and avoided, character clarity and recognition stability are improved, compressor batch tracing is ensured to be complete, the recognition failure rate and the artificial rechecking rate are significantly reduced on the premise that the rhythm is not affected, and the detection automation and quality control capability are improved.