73 results about "Mobile vision" patented technology

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a speed synchronization control method of an unmanned aerial vehicle and a mobile platform, a flight control system and the unmanned aerial vehicle, and the speed synchronization control method comprises the steps: obtaining GNSS information, visual beacon information or mobile visual positioning information according to the relative distance between the unmanned aerial vehicle and the mobile platform, and performing real-time control on the unmanned aerial vehicle by using the acquired GNSS information, the visual beacon information or the mobile visual positioning information so as to realize speed synchronization between the unmanned aerial vehicle and the mobile platform. According to the invention, through mutual complementation and assistance of multiple speed synchronization modes, the optimal speed synchronization mode can be automatically selected for different distance ranges, accurate speed synchronization between the unmanned aerial vehicle and the mobile platform in a complex environment is realized, and accurate following or accurate landing between the unmanned aerial vehicle and the mobile platform can be realized.

The invention provides a crop population three-dimensional reconstruction and organ phenotypic character analysis method, and relates to the field of three-dimensional reconstruction, and the method comprises the steps: collecting cotton envelope image data, carrying out the data preprocessing, and carrying out the motion recovery processing and Gaussian sputtering of the cotton envelope image data, the method comprises the following steps of: preprocessing a group cotton point cloud, removing a ground point cloud, obtaining a complete cotton group point cloud model, segmenting a cotton individual point cloud model and a corresponding organ point cloud model from the complete cotton group point cloud model, automatically analyzing cotton key phenotypic characters, and performing correlation analysis. According to the method, a cotton original habitat three-dimensional point cloud model is constructed based on mobile visual equipment, and key characters such as cotyledon node height, plant height and leaf area can be automatically analyzed, so that the problems that phenotypic character extraction in the prior art is high in cost, low in flux, easy to make mistakes, inconsistent in standard, generally destructive, labor-consuming, time-consuming and the like are solved.

A system and method for generating an interactive user interface for inspection visualization. The system includes multiple imaging devices positioned along a inspection passage and at least one processor that executes instructions to: obtain multiple sets of images of vehicle surface segments captured during relative movement between the vehicle and imaging devices; stitch the images into a dataset record mapping vehicle parts and surface anomalies; transform the image data into a moving visual media object using a first generative AI model; compute a mapping record between segmented vehicle parts and target frame areas; and transform the mapping record and visual media object into an interactive interface using a second generative AI model. The interface displays user-selectable markers synchronized with media playback, indicating anomaly locations from multiple viewing angles, and performs data retrieval and display actions based on user selection of anomalies.

The invention discloses a fuel cell stack core straightness and perpendicularity detection device and method. A reference surface is positioned through a visual camera, and a transmission mechanism drives a laser line scanning instrument to perform line scanning point taking on an upper end plate and fit a reference plane; moving a visual camera through an X-axis or Y-axis transmission mechanism, scanning a long-edge extension line and a short-edge extension line of the upper end plate on a reference surface of the upper end plate along the horizontal direction, obtaining an intersection point, determining a coordinate origin, and performing reference determination by taking the long-edge extension line and the short-edge extension line as X-direction or Y-direction reference of a coordinate system; the transmission mechanism drives the laser line scanning instrument to carry out line scanning on the straightness of the side edge of the reactor core assembly, straightness line scanning data are obtained, line scanning point position coordinate values are obtained, data analysis is carried out according to the coordinate values, and compared with the prior art, high-precision detection of the straightness and perpendicularity of the fuel cell stack core is achieved, and the detection precision is improved. And the assembly quality and performance of the reactor core assembly are ensured.

The invention discloses a battery replacing station and a control method of the battery replacing station. The battery replacing station comprises a controller, a driving device, a grabbing device, a visual device and at least two battery bins, and the controller is in communication connection with the driving device, the grabbing device and the visual device; the visual device and the grabbing device are both arranged on the driving device, the driving device drives the visual device and the grabbing device to move in the working space of the battery replacing station, the visual device is used for obtaining image information of a target object to recognize the spatial pose of the target object, and the battery bin is used for storing batteries; the controller is configured to execute the following operations: obtaining a first pose of the power-deficient battery, a second pose of the idle battery compartment and a third pose of the full-power battery compartment through the visual device; and based on the first pose of the power-deficient battery, the second pose of the idle battery bin and the third pose of the full-power battery bin, the driving device and the grabbing device are controlled to execute grabbing or releasing operation on the target battery. The battery replacement efficiency can be improved.

The present disclosure describes systems and methods for implementing input-adaptive neural networks. Several approaches and systems are presented for creating flexible and computationally-efficient deep neural networks that adapt their complexity based upon input data such as video streams. The approach may use fine-grained design and an automatic approach for generating optimal network architectures based on early-exit mechanisms. A neural network modified according to such principles can be implemented in various devices including mobile vision systems such as smartphones, drones, and head-mounted augmented reality devices.

The invention provides a high-precision probe assembly system and method, and the system is characterized in that a probe assembly suspension clamp is fixed on an installation platform, and the probe assembly suspension clamp is used for suspending a probe and controlling the probe to press down and adhere to a suspension structure; the three-axis displacement table is fixed on the mounting platform, the three-axis displacement table is located below the probe assembly suspension clamp, one surface, facing the probe assembly suspension clamp, of the three-axis displacement table is used for fixing a suspension structure, and the three-axis displacement table can move in the horizontal or vertical direction; the visual acquisition module is fixed on the mounting platform and is used for acquiring a relative position image; the three-axis displacement table is used for moving by referring to the relative position image. According to the high-precision probe assembly system and the assembly method, the alignment process of the probe and the central circular surface of the suspension structure is fully automatically realized, the alignment precision is high, and the speed is high; a specially-made probe assembly suspension clamp is matched, the probe is controlled to be vertically pressed downwards, and finally accurate bonding assembly of the probe and the suspension structure is achieved.

The invention discloses an automatic detection system and method for a blade root bolt of a wind driven generator, and belongs to the technical field of wind driven generator maintaining.The system comprises a local detection mechanism and a control mechanism, and the local detection mechanism comprises a track part and an automatic detection part; the automatic detection part comprises a power supply unit, a driving unit, a visual unit, an ultrasonic flaw detection unit, a communication unit and a local control storage unit; the driving unit can drive the automatic detection part to move along the rail part, the visual unit can collect image data and perform alignment confirmation, and the ultrasonic flaw detection unit can collect data of a to-be-detected bolt; the vision unit and the ultrasonic flaw detection unit can transmit acquired data to the communication unit and the local control storage unit; and the control mechanism interacts with the local detection mechanism to detect the to-be-detected bolt. According to the invention, full-coverage, automatic, high-precision and efficient detection of the blade root bolt of the fan blade can be realized to a certain extent, and the method is suitable for detection and maintenance of a wind driven generator.

The invention provides a large fan detection device and method, the large fan detection device is composed of a host with input and output functions and at least two mechanical arms used for detection and provided with visual detection modules, the mechanical arms are carried by a ground rail platform and can move in the horizontal direction, and the visual detection modules are composed of 3D contour cameras and 2D cameras. The method comprises the following steps: performing positioning detection on a fan, detecting connection gaps among parts, and shooting vertical bottom surfaces of a plurality of locking studs of a fan supporting seat through a 3D contour camera, so as to ensure that the state of the positioning studs is stable, and ensure that screws, nuts and gaskets are completely imaged; the surface images of the screws, the nuts and the gaskets are shot and recognized through the 2D camera, whether marking lines exist on the surfaces or not is confirmed, full-automatic detection is adopted for replacing manual detection, the detection accuracy is improved, the situation of wrong detection and missing detection possibly caused by manual detection is avoided, and meanwhile the labor cost of a factory is reduced.

The utility model discloses a mobile vision AI safety early warning device which comprises a vision early warning box body, a horizontal adjusting base is arranged at the bottom of the outer side of the vision early warning box body, electric telescopic rods are arranged at the two ends of the inner side of a square frame at the end of the horizontal adjusting base, and a monitoring camera moves downwards through cooperation of a servo motor and a threaded vertical rod. The monitoring camera enters the cleaning groove and rotates in the cleaning groove through a micro motor, surface dust cleaning is conducted through a cleaning soft rubber brush arranged in the cleaning groove, the cleaned dust is adsorbed through a dust remover by making the cleaning groove generate suction force through a dust removal pipe fitting, and the adsorbed dust is collected in a dust collection box. And therefore, the problems that the environment is affected and the view of the monitoring camera is blurred due to the fact that dust is diffused to the periphery during cleaning are avoided, and the convenience of cleaning the monitoring camera is further improved.

The application provides a walking robot on a steel mesh, and relates to the technical field of building robot equipment. The walking robot on the steel mesh comprises a chassis, a moving vehicle, a first space, a rack, a first transmission unit, a first driving unit, a second driving unit, a visual recognition unit and a motor. The chassis and the moving vehicle are located on the steel mesh, the motor provides driving force for the visual recognition unit, the second driving unit or the first transmission unit, the second driving unit drives the moving vehicle to move on the chassis in the process, and the moving vehicle drives the first transmission unit to move on the rack in the first space, and the visual recognition unit transmits the obtained obstacle data information and movement data information to the control system through the control module. Therefore, when working on the steel mesh, the robot is not affected by the diameter and spacing of the steel bars, the steel bar binding and the steel bar welding and other problems in the moving process, and the movement of the robot in the working process is not blocked.

The application belongs to the technical field of mobile visual inspection planning, and specifically discloses a mobile visual inspection station-point joint clustering and sequence planning method. The method is a genetic algorithm based on an alternating evolution strategy, and comprises steps of data encoding / decoding, evolution strategy updating, individual selection, individual crossover, individual mutation, population updating and the like. The length of a chromosome is equal to the number of points participating in sequencing. The integer part of a gene represents a point sequence number, and the decimal part represents a station sequence number to which the point belongs. Point sequences belonging to the same station follow the order of appearance in the chromosome; station sequences follow the order of the first appearance position. The application can integrally realize station-point clustering and sequence planning, and improve visual inspection efficiency; the proposed evolution strategy also significantly reduces the running time of the planning program. The application is suitable for large and complex component mobile visual inspection and other similar scenarios.

The invention relates to a display system (100) for a vehicle (10), comprising: - a driver monitoring module (110) which is configured to detect the viewing behaviour of a driver of the vehicle (10); - a display module (120) which is configured to display a moving visual content (BVI); and - a control module (130) which is configured to actuate the display module (120) in such a way that a playback speed of the moving visual content (BVI) is adjusted, in particular reduced, on the basis of the viewing behaviour.

The present invention relates to a visual inspection device for part holes, which includes a workbench, a fixing component, a driving component and a visual inspection component. The fixing component includes two fixed frames arranged in parallel and two fixed ends corresponding to the two fixed frames one by one. A fixed gap is formed between the two fixed frames. The two fixed ends are both built into the corresponding fixed frames and slidably connected to the corresponding fixed frames. The fixed ends can slide to a first position abutting the part and can slide to a second position spaced apart from the part. The driving component is installed on the workbench to drive the two fixed frames to rotate synchronously and drive the two fixed frames to move relative to or opposite to each other. The visual inspection component is installed on the workbench, and the detection end of the visual inspection component points to the setting of the fixed gap. The problem that the existing visual inspection device can only detect the number of holes on a single side of the part, cannot determine whether the holes on the part are through holes, and the detection results are incomplete is solved.

This invention relates to a fast selection interaction method, apparatus, and electronic device for an electronic paper display, comprising: rendering and displaying an interactive interface containing multiple candidate options on an electronic paper display unit, wherein the interactive interface does not display a movable visual focus used to indicate the current candidate option; establishing a corresponding mapping relationship between each option in the multiple candidate options and each specific physical direction button, the mapping relationship being determined based on the spatial arrangement of each option in the interactive interface; responding to a detected trigger operation on a target physical direction button in a group of physical direction buttons, identifying the trigger operation as a selection operation on the option mapped to the target physical direction button according to the mapping relationship, and executing the subsequent logic corresponding to that option; during the process of the trigger operation being responded to and the subsequent logic being executed, interface refresh triggered by moving the movable visual focus is not performed. This invention can avoid frequent screen refreshes and operation delays caused by cursor movement.

The invention discloses digital twin automatic wiring equipment based on fusion of a large model algorithm and an AI vision algorithm, and belongs to the technical field of automatic wiring equipment. The equipment comprises an execution module, an AI visual acquisition module, a digital twinborn data acquisition module, a communication module and a digital twinborn management and control platform integrated with a dual-algorithm module, the execution module realizes wire clamping and three-dimensional movement, the AI visual acquisition module completes accurate positioning and process tracking, the digital twin data acquisition module acquires equipment operation state data in real time, the communication module realizes data interaction and instruction transmission, and the digital twin management and control platform constructs an equipment virtual mapping model. And parameter self-optimization, fault prediction and virtual-real cooperative regulation and control are realized. The problems that traditional equipment is inaccurate in positioning, poor in adaptability, lagged in regulation and control and the like are solved, the wiring quality and the operation efficiency are remarkably improved, the operation and maintenance cost is reduced, and the method is suitable for wiring scenes of assembly of various electrical equipment.

A mobile vision transformer network for use on mobile devices, such as smart eyewear devices and other augmented reality (AR) and virtual reality (VR) devices. The mobile vision transformer network considers factors including number of parameters, latency, and model performance, as they reflect disk storage, mobile frames per second (FPS), and application quality, respectively. The mobile vision transformer network processes images, e.g., for image classification, segmentation, and detection. The mobile vision transformer network has a fine-grained architecture including a search algorithm performing latency-driven slimming that jointly improves model size and speed.

The invention discloses a cement production line fault monitoring system and method, and relates to the technical field of cement production line fault monitoring, and the system comprises a fixed visual detection unit, a sensor monitoring unit, a mobile visual detection unit, and a control center monitoring server. According to the invention, through combination of the fixed visual detection unit, the sensor monitoring unit and the mobile visual detection unit, multi-angle and multi-parameter comprehensive monitoring of cement production line equipment is realized, monitoring blind areas are reduced, and fault detection comprehensiveness is improved. The control center monitoring server can intelligently assess the fault risk of the equipment through comprehensive analysis of a plurality of monitoring parameters, and provides data support for preventive maintenance. And when the equipment fault risk value is monitored to exceed the set threshold value, the system can automatically control the unmanned aerial vehicle equipment to go to the fault point for detailed inspection, so that dynamic intervention is realized, and the fault processing time is shortened.

This invention belongs to the field of building deviation detection technology, and particularly relates to a method for detecting building settlement and displacement deviation based on visual processing. The method first selects natural and artificial landmarks with long-term stability, and after AI visual stability classification, constructs a global benchmark landmark library by combining it with absolute geodetic coordinates. It then acquires multi-view sequential images of the target building and landmarks through a mobile visual acquisition platform, constructs a unified global absolute coordinate system using the benchmark landmarks as global constraints, and generates a high-precision 3D digital model of the target building with absolute 3D coordinates. The model is repeatedly acquired and modeled at a preset cycle, and multi-cycle model registration is completed using stable landmarks as anchor points. Differential calculations are then used to solve the building's full-dimensional deformation deviation data, completing compliance judgment and graded early warning. This invention solves the pain points of traditional detection benchmarks being prone to failure and incomplete detection dimensions, significantly improving the accuracy and timeliness of building deformation detection and early warning.

The invention belongs to the technical field of inspection robots, and particularly relates to a wheel type inspection robot with an anti-collision function, which comprises a loading body, a driving protection shell and a visual sensor. According to the invention, the robot needs to complete preparatory work before operation, including checking the electric quantity of a battery to ensure that the electric quantity is sufficient, verifying that the functions of a visual sensor and a camera are normal, confirming that a navigation path has no obstacle, and confirming that a protection plate is in an embedded and buckled fixed state, and a supporting plate 8 is locked and folded by a buckle plate 13. The loading body moves along a preset route through the driving wheel and the driven wheel, and the visual sensor collects environmental data in real time and uploads the environmental data to the management platform; if one side of the loading body is impacted, the impact force is transmitted to the sleeve through the impact side protection plate, the trigger rod on the other side is pushed after the second spring is compressed, the opposite protection plate is separated from the constraint of the buckle plate, at the moment, the supporting plate rapidly slides downwards and stretches out by means of the elastic force of the first spring, and flexible supporting is formed after the inserting plate and the inserting rod reach the maximum stroke. And meanwhile, the trigger rod automatically resets and is centered under the springback effect of the second spring.

The application discloses a kind of wet process equipment mobile vision protection devices, comprising: protective cover, protective plate, sealing protection ring and air pipe assembly;Protective plate is fixedly connected at one end of protective cover, and is provided with mounting through hole;Sealing protection ring includes: first ring body and second ring body;First ring body and second ring body are interconnected;Sealing protection ring is sealingly connected with mounting through hole;Multiple overflow notches, multiple overflow flow channels, multiple flow guide notches are opened in first ring body, inner wall is sealingly connected with lens mounting portion;Annular positive pressure gas static pressure distribution groove is opened in the inner wall of the connecting portion of first ring body and second ring body;Second ring body is matched with the gap of lens;Visual camera is fixedly arranged in protective cover.The gas is distributed by two-stage static pressure of protective cover and sealing protection ring, and forms low-speed annular laminar flow air curtain along the cylindrical outer wall of lens, protects the field of view near camera lens, and the flow is controllable, low-flow energy-saving, improves the online operation rate of mobile vision.

The invention discloses an intelligent industrial high-precision mobile visual inspection robot, and belongs to the technical field of inspection robots, the intelligent industrial high-precision mobile visual inspection robot comprises a fixed seat, an electric sliding rail is fixedly mounted on the periphery of the fixed seat, an annular sliding block is mounted in the electric sliding rail, a mechanical arm is mounted on the annular sliding block, and a mounting seat is fixedly mounted on the mechanical arm; a driving motor for driving is embedded in the mounting seat, a rotating block is arranged at the output end of the driving motor, wiping cotton is mounted on the rotating block, an image acquisition module is arranged on the lower side of the mounting seat, a data processing module is mounted on the fixed seat, a control module is further mounted on the fixed seat, and the control module is used for controlling the mechanical arm and the driving motor. According to the device, the wiping cotton and the image acquisition module are matched with the data processing module, so that whether stains exist on workpieces or not can be judged, whether the stains are stuck in the carrying process or not can be judged, whether the stains are embedded in the workpieces or not during machining or not can be judged, and the workpieces can be effectively screened.

The invention relates to a rapid option interaction method and device for electronic paper display equipment and electronic equipment, and the method comprises the steps: rendering and displaying an interaction interface containing a plurality of options to be selected on an electronic paper display unit, and not displaying a movable visual focus used for indicating a current candidate option on the interaction interface; establishing a corresponding mapping relationship between each option in the plurality of options to be selected and each key in the specific physical direction, wherein the mapping relationship is determined based on the spatial arrangement layout of each option in the interactive interface; in response to a detected trigger operation on a target physical direction key in the physical direction key group, identifying the trigger operation as a selection operation on an option mapped by the target physical direction key according to the mapping relationship, and executing subsequent logic corresponding to the option; in the process that the trigger operation is responded and the subsequent logic is executed, interface refreshing triggered by moving the movable visual focus is not executed. According to the invention, frequent screen refreshing and operation delay caused by cursor movement can be avoided.

The invention relates to the technical field of vision detection, in particular to movable vision detection equipment which comprises a detection mechanism and a remote controller used for controlling the detection mechanism, the detection mechanism comprises a flexible visual chart, a bottom box, a machine cover, a balance weight cylinder, a supporting assembly and a winding assembly, and the winding assembly is arranged in the bottom box. The upper end of the flexible visual chart is wound on the winding assembly, the lower end of the flexible visual chart penetrates through the bottom of the bottom box, the balance weight cylinder is connected to the lower end of the flexible visual chart, the supporting assembly is arranged on the rear sides of the two ends of the balance weight cylinder, the machine cover is buckled to the top of the bottom box, and the cleaning assembly is arranged in the machine cover and abuts against the flexible visual chart. The problems that in the prior art, vision detection equipment is not convenient to use and cannot meet the requirements of some patients who cannot leave the home or are inconvenient to go out, it is difficult to ensure that a visual chart is flatly and smoothly unfolded in the using process, stability and precision are low, the visual chart cannot be automatically cleaned, the workload of medical staff is easily increased, and the working efficiency is high are solved. And the working efficiency is poor.

The application discloses a shell separation process of an electric energy meter, and relates to the technical field of electric energy meter disassembly, which comprises the following steps: AGV forklift transfers a tray containing an electric energy meter to a disassembling machine, a conveying line conveys the tray, a feeding robot moves the electric energy meter to a rotary table type disassembling station, removes the connecting screw of an upper cover and a lower cover (three for the upper cover and one for the lower cover), clamps the upper cover to a sub-piece disassembling line, separates the tail of the meter from the lower cover and transfers the lower cover, removes the screw of a circuit board, separates the upper circuit board, visually positions the screw of the lower circuit board, clamps the lower circuit board to the sub-piece disassembling line, and stacks and recycles empty trays, and under the assistance of a 3D visual system and a movable visual positioning camera, the automatic disassembly of the electric energy meter can be realized, the whole disassembly process is closed-loop operation relying on automatic equipment, large-scale disassembly operation can be stably completed, the disassembly efficiency is improved, and the problem of low operation standardization degree caused by excessive dependence on manual experience in the traditional operation mode is solved.

The invention relates to a dimmable organic light-emitting device with high efficiency and long service life and application thereof. The light-emitting device includes: a light-emitting layer in which two or more host materials are mixed together and a light-emitting material is doped in the layer; the luminescent material is a platinum complex and has monomer emission state luminescence and at least one aggregation emission state luminescence; the LUMO level of at least one host material is lower than the LUMO level of the luminescent material or the difference between the LUMO level of at least one host material and the LUMO level of the luminescent material is less than 0.2 eV. The light-emitting device can be used for a fixed visual display unit, a movable visual display unit, a lighting unit, a keyboard, clothes, ornaments, clothes accessories, wearable equipment, medical monitoring equipment, wall paper, a tablet computer, a notebook computer, an advertisement panel, a panel display unit, household appliances and office appliances.

The utility model relates to a kind of 3D printing equipment with visual defect detection, belong to industrial visual detection field.The equipment includes base, 3D printing part and two visual detection parts, linear slide is horizontally arranged in the middle part of base and build plate, and build plate is driven to move left and right by first motor;3D printing part adopts linear guide rail, ball screw and synchronous belt transmission structure, and three-dimensional accurate movement of printing head is realized by cooperation motor drive;Visual detection part is equipped with vertical frame, movable camera support and visual detection camera connected by universal joint, and two visual detection cameras are cross arranged left and right.The utility model realizes the integration of printing and visual defect detection, and can complete detection without taking down part, with compact structure, high degree of automation, the characteristics of comprehensive accurate detection, effectively improve 3D printing part production efficiency and quality control level, applicable to multi-field 3D printing production.

An edge computing system, computer readable storage medium and method for object detection, including processing circuitry. The processing circuitry is configured with a hybrid CNN and vision transformer backbone network in an object detection deep learning network. The backbone network receives an image, and includes a first convolutional encoder to extract local features from feature maps of the image, a second stage having consecutive second convolutional encoders, a positional encoding layer, split depth-wise transpose attention (SDTA) encoders, consecutive convolutional encoders, a third stage and a fourth stage SDTA encoder. Each of the SDTA encoders perform multi-headed self-attention by applying a dot product operation across channel dimensions in order to compute cross-covariance across channels to generate attention feature maps. The object detection neural network includes a convolutional network that produces a fixed-size collection of bounding boxes and scores for a presence of object class instances in those boxes.

This invention relates to a method for mobile vision detection of construction workers' protective gear. The method uses YOLO11m as the basic architecture to build a detection model. The backbone of the detection model includes an SPFF module, and a reflection-sensitive feature channel is introduced at the end of the backbone. The head of the detection model incorporates a conditional attention mechanism, which activates local attention weights in the region below the safety helmet in the image when a safety helmet is detected. The SPFF module can fuse deep semantics and shallow detail features for small targets at 1K+ resolution through multi-scale dilated convolution and channel attention, overcoming the bottleneck of traditional FPN in losing features of small targets and significantly enhancing the feature representation capability of small targets.

The utility model relates to a kind of dual-function detection equipment, comprising: bearing mechanism, including bearing seat and translation drive component, the bearing seat is used to place product to be detected, the translation drive component is used to drive the bearing seat moves between feeding position and detection position;Visual inspection mechanism, erect in the above of the detection position;And line sequence detection mechanism, be located at the detection position, including pressing plate and lifting drive component, the lifting drive component is used to drive the pressing plate vertical movement, to make the pressing plate compact the product and with the product electric connection, the pressing plate is equipped with several through holes, the through hole exposes the product for the visual inspection mechanism detection.The utility model integrates line sequence detection and appearance detection in one, equipment space layout can be optimized, effectively promote detection efficiency.