163 results about "Real-time scan" patented technology

The invention relates to the technical field of computer vision, and discloses a thyroid ultrasonic robot automatic scanning method, device and equipment based on RGB images and depth information and a medium, and the method comprises the steps: obtaining image information and depth information, coding the depth information, fusing and recognizing a target scanning area, determining an initial scanning point and an initial scanning direction, controlling the scanning probe to scan and collect a real-time scanning image, analyzing the real-time scanning image to recognize a preset target and an artifact area, adjusting a scanning posture and a scanning path based on a recognition result, monitoring a continuous existence state of the preset target, and stopping scanning when the preset target is not recognized continuously. The target area is identified by fusing the multi-modal image information, the scanning posture and path are dynamically adjusted in combination with real-time image analysis, scanning termination is intelligently controlled according to the target detection result, the positioning accuracy, image quality and standardization level of ultrasonic scanning are improved, and the method is suitable for automatic ultrasonic imaging of thyroid and superficial organs.

The invention discloses a mixing and feeding electric control system with a liquid level sensing function, and relates to the field of control systems. An adaptive parameter configuration module; a multi-stage gradient stirring module; a real-time data twinning processing module; a remote cooperative monitoring module; a fault linkage processing module; and an energy-saving closed-loop control module. According to the system, the material characteristic pre-detection module is combined with the water content-viscosity-medicament dosage three-dimensional mapping table and the viscosity-rotating speed mapping table, so that real-time scanning and parameter quantitative matching of the granularity, the water content and the viscosity of the industrial waste are realized; according to the scheme, the stirring sufficiency of the high-viscosity industrial sludge is improved, the energy consumption of the low-viscosity material is reduced, the dosage of the medicament is automatically matched according to the three-dimensional mapping table, the utilization rate of the curing agent is improved, and the core problems of stirring waste and insufficient stirring are fundamentally solved.

The invention discloses a test data intelligent generation and privacy compliance desensitization method, which belongs to the technical field of electric digital data processing, and comprises the following steps: monitoring the structure change of a preset regulation update source and a target application system, and obtaining compliance dynamic information; analyzing the compliance dynamic information to generate a dynamic compliance rule base; based on the dynamic compliance rule base, generating an initial test data set through a preset intelligent data generator; desensitizing the initial test data set, and outputting a desensitized test data set; scanning the desensitized test data set in real time for compliance verification, and generating a compliance verification report; and dynamically optimizing the generation strategies of the dynamic compliance rule base and the intelligent data generator based on the compliance verification report. Dynamic rule base construction, intelligent separated data generation, closed-loop verification optimization and desensitization audit tracing technologies are adopted, laws and regulations and system changes can be automatically adapted, and the service validity, privacy security and law compliance of test data are synchronously guaranteed.

The invention relates to the technical field of unmanned aerial vehicle path planning, in particular to an unmanned aerial vehicle path planning method and system based on laser scanning. The method comprises the following steps: scanning a roadway environment in real time by using a laser scanner to obtain original radial section point cloud data; analyzing a structural stability index and a dangerous rock potential energy threat value based on the original radial section point cloud data to determine a risk attribution area of the current flight path of the unmanned aerial vehicle; judging whether a high-risk detour area exists or not according to the risk attribution area, and if yes, dynamically planning a risk detour path so as to adjust a single pre-scanning voyage and generate an intelligent safety execution route; and instructing the unmanned aerial vehicle to fly to the terminal point along the intelligent safety execution route, and taking the terminal point as the starting point of the next round of path planning until the iterative exploration of the target underground mine space is completed. According to the method, the structural stability and potential energy threat of the surrounding rock are quantified in real time to realize safe path planning for actively avoiding surrounding rock instability.

The invention relates to the technical field of optical processing, and discloses an imaging depth adjustable laser optical processing system, which comprises a laser emission unit, an optical conduction unit, a spectral domain optical coherence tomography imaging unit, a laser galvanometer scanning unit, an indication light imaging unit, an image processing display unit and a control unit, according to the spectral domain optical coherence tomography imaging system, time scanning of high output wavelength is realized by utilizing a wavelength scanning mode that the scanning telescopic rotating module drives the spectral domain optical coherence tomography imaging system, and position information or image information of a sample from the surface to the interior is provided in real time in combination with an image processing technology; the three-dimensional galvanometer scanning unit scans the position of a sample in real time and records the position and orientation information of a scanning point at the same time, real-time image information and different depths, widths and axial positions of the sample are scanned at the same time, the focusing depth and wavelength of an imaging laser beam and the focusing position and energy of the scanning laser beam are fed back and adjusted, and the laser beam is positioned to the sample for machining.

The invention relates to the technical field of exhibition lamps, in particular to an exhibition lamp and an exhibition method, and the method comprises the following steps: inputting preset exhibit database information, extracting exhibit numbers, material types, dominant tone ranges and size information, carrying out point-by-point scanning on exhibit surfaces, collecting reflection spectrum data, converting the reflection spectrum data into CIELAB values, and integrating the extracted information and the collected data. And establishing an exhibit basic information set. The comprehensive exhibit basic information set is established by combining the preset database information and the real-time scanning and acquisition of the surface reflection spectrum or the CIELAB value of the exhibit, so that the subsequent illumination design can be carried out based on the unique optical characteristics of each exhibit, the accuracy and pertinence of personalized illumination are improved, and the material details and color levels can be deeply revealed. Secondly, processing the optical data of the exhibit by using a preset weight set associated with a specific display target, and generating an ideal display illumination parameter including spectral distribution and a brightness value;

The invention discloses an excavation roadway turning construction method and a roadway construction method. According to the method, the turning track is accurately controlled through geological parameter pre-research and surveying and setting-out, and the problems of relaxation and damage caused by track deviation and long surrounding rock exposure time of a traditional turning section are effectively solved in combination with pilot tunnel advanced excavation and dynamic collaborative supporting. Pilot tunnel advanced excavation reserves a space for subsequent expanded excavation, a cutting head of the integrated equipment can horizontally rotate to adapt to curve excavation, and supporting force is dynamically adjusted in cooperation with real-time scanning of surrounding rock deformation data, so that the surrounding rock exposure time in turning section construction is shortened to 5-8 minutes from 40-60 minutes of a traditional process, and the construction efficiency is improved. The wall caving and roof caving risks caused by long-time support-free exposure of the surrounding rock in the turning area are remarkably reduced, meanwhile, it is ensured that the turning radius and the turning angle are matched with the design height through a parameter correction program, and the accuracy and safety of turning section construction are improved.

The invention relates to the technical field of medical decision and artificial intelligence, and discloses an artificial intelligence-driven new adjuvant therapy scheme optimization method and system for antral sinus cancer, and the method comprises the steps: S1, obtaining clinical data of a antral sinus cancer patient, and carrying out the preprocessing; s2, screening core features by adopting an iterative ReliefF algorithm, and constructing composite features; s3, constructing a prediction model based on a Bayesian optimization K-nearest neighbor algorithm, taking the composite features as input of the prediction model to predict treatment response, and outputting individual tumor recession grade probability distribution of the patient; s4, taking the tumor recession grade probability distribution as a core component of a state space, inputting the tumor recession grade probability distribution into a double-layer reinforcement learning framework based on a penalty mechanism to optimize a treatment decision, and outputting a personalized treatment strategy parameter set; and S5, performing real-time scanning and verification on the drug dosage parameters in the strategy parameter set, and outputting a final approved personalized treatment scheme. The precision and intelligent level of gastric antrum cancer treatment is improved.

The invention discloses a low-altitude economic flight data management method based on a block chain technology, and relates to the technical field of low-altitude traffic management, and the method comprises the steps: verifying an encrypted positioning proof, generating a verification state set, decrypting flight coordinates according to the verification state set, and generating a credible coordinate data stream; performing sensitive airspace intrusion detection according to the credible coordinate data stream and the high-security protection node, performing collision risk analysis by the traffic management node to obtain an encrypted aggregated threat vector, and identifying a threat level according to the encrypted aggregated threat vector; and dynamically adjusting the working parameters of the airborne equipment according to the threat level, generating an airborne equipment regulation and control instruction set, scanning the signal-to-noise ratio and the threat intensity in real time, dynamically allocating a communication frequency band, and generating a new positioning strategy parameter. According to the method, the real-time signal-to-noise ratio and the threat intensity scanning result are combined, communication frequency band dynamic allocation and encryption strategy dynamic optimization are driven, the airspace situation awareness capacity is formed, the resource utilization rate is increased, and the anti-interference capacity is enhanced.

The invention provides a method and a system for evaluating the health degree of audio and video conference equipment, which comprehensively utilize a QFD thought and AHP and AI methods to construct an equipment fault model and a fault risk transfer model, solve the field problem of fault influence dependency analysis among an equipment principle, a real-time operation state and a historical operation state in equipment fault detection, and improve the reliability of the equipment fault detection. The evaluation method comprises the following steps: scanning a basic state in real time and detecting an environment in real time; verifying the integrity of the signal link; carrying out equipment performance standard test; the influence of the hardware loss on functionality is evaluated; performing actual use state testing, including limiting condition testing and fault injection testing; and performing health degree modeling and grading, and establishing a multi-dimensional comprehensive evaluation model. According to the method, a traditional regular maintenance mode is exceeded through multi-dimensional dynamic modeling and a predictive intervention mechanism, real-time environment sensing and hardware loss modeling are fused, a fault window can be pre-judged, the equipment operation fault rate is reduced, and preventive maintenance is achieved.

The invention provides a life cycle deletion optimization method for a distributed object storage system, which comprises the following steps of: S1, detecting the business volume of a cluster, starting a pre-scanning operation when the business volume is lower than a preset threshold value, and identifying an object to be deleted according with a life cycle rule; s2, respectively writing the to-be-deleted object information of different dates into corresponding omaps, and storing omap data in a disk according to a preset packaging frequency; s3, when the life cycle expires, directly reading the omap of the corresponding date, skipping a real-time scanning step, and executing batch deletion operation; and S4, recording statistical information such as the deletion quantity scanned every day on the xattr of the barrel, so that management software performs data trend analysis and operation and maintenance decision. According to the embodiment of the invention, the life cycle deletion efficiency can be improved, the metadata operation pressure is reduced, and the cluster storage space utilization rate is optimized.

The invention provides an ultrasonic control method for real-time scanning quality and self-adaptive acquisition and related equipment, and the method comprises the steps: synchronously acquiring an ultrasonic signal and at least one additional sensor signal in an acquisition period of scanning equipment; calculating multi-dimensional quality indexes including a signal quality index, an operation stability index and a contact state index in real time based on the ultrasonic signal and the additional sensor signal, and generating an overall quality score according to the multi-dimensional quality indexes; judging whether the total quality score reaches a preset qualified threshold value or not; if the total quality score is lower than a qualified threshold value, quality loss factors are determined according to the total quality score, control actions used for improving subsequent collection quality are generated and executed based on the quality loss factors, and the control actions comprise one or more of sending prompt information to an operator and automatically adjusting collection parameters of the scanning equipment. According to the invention, multi-dimensional evaluation and autonomous decision making are carried out on the ultrasonic quality by fusing additional sensor multi-mode signals, so that the ultrasonic acquisition quality is improved.

The invention relates to an artificial intelligence technology, can be applied to the technical field of finance, and discloses an artificial intelligence-based abnormal data identification method, device, equipment and medium, and the method comprises the steps: collecting investment data in real time, and inputting the investment data into an investment data semantic large model; performing anomaly identification on the investment data based on the investment data semantic large model to generate an abnormal data identification result; obtaining abnormal investment data in the abnormal data identification result, analyzing an abnormal condition of the abnormal investment data based on a graph neural network algorithm, and generating an abnormal reason and abnormal positioning information; and obtaining a repair suggestion based on the exception reason, and pushing the exception reason, the exception positioning information and the repair suggestion to a visual interface. According to the invention, investment data is scanned in real time through the AI algorithm, abnormal values are rapidly identified, and human errors are reduced; abnormal reasons can be automatically positioned, repair suggestions can be provided, real-time monitoring is achieved, and abnormal data recognition efficiency is improved.

The invention relates to the technical field of data security, and discloses a dynamic hierarchical compliance data governance method, system and device and a storage medium, and the method comprises the steps: accessing multi-modal data; the method comprises the following steps: analyzing an input law and regulation text based on a large language model, converting into a structured data governance rule, and storing in a rule base; semantic understanding and correlation analysis are carried out on the multi-modal data, and sensitive level labels are dynamically distributed; in response to a received data access request, analyzing context information and user attributes, dynamically selecting and executing a target desensitization strategy, and generating desensitization data; performing real-time scanning on the multi-modal data based on the multi-modal large model, and identifying and marking sensitive information in the multi-modal data; the sensitive information is fed back and used for dynamically updating the sensitive level label, and the data governance rule and the desensitization strategy are dynamically adjusted according to the feedback information. According to the method, high-standard requirements on agility, accuracy and comprehensiveness of data governance in a complex dynamic environment can be met.

The invention discloses sealing ring trimming equipment and a self-adaptive control system thereof. The sealing ring trimming equipment comprises a combined cutting device, a detection device and the self-adaptive control system. The combined type cutting device integrates a rough cutting assembly and a mechanical fine cutting assembly, and rough cutting and fine trimming of a sealing ring blank can be completed in sequence. The detection device adopts a multispectral confocal sensor, and the self-adaptive control system comprises a rough cutting module which controls a rough cutting assembly to reserve a set flash; the fine cutting control module dynamically generates a tool path correction parameter and a cutting depth compensation value according to the real-time scanning data; the edge feature analysis module extracts key quality indexes such as residual flash contours and surface roughness; and the correction module dynamically adjusts the reserved flash amount and the fine cutting parameters through the fuzzy logic controller. The equipment is further provided with a cutter resistance monitoring module and an abrasion prediction compensation module, closed-loop control from rough cutting to fine cutting is achieved, the edge machining precision and production efficiency of the sealing ring are remarkably improved, and the equipment is suitable for the field of high-precision sealing element manufacturing.

The invention discloses a construction safety management method based on excavator visual angle image fusion, and belongs to the technical field of construction early warning, and the method specifically comprises the steps: obtaining the position and working condition of excavation equipment, and setting a dynamic alarm fence; triggering an equipment vision device to scan a personnel target in real time, identify a personnel bounding box and extract a personnel identity identification code; synchronously calling original coordinates of the corresponding ultra-wideband tag, capturing a posture visual frame, and generating a posture feature vector through skeleton joint point topology analysis; inputting the attitude vector into an attitude-error compensation model, and outputting a positioning offset predicted value to correct an original coordinate; according to the method, real-time compensation is carried out through dynamic accurate matching of the construction dangerous area and personnel positioning errors, misjudgment is avoided to the greatest extent, the safety risk active pre-judgment and alarm accuracy is improved, and the safety risk active pre-judgment and alarm accuracy is improved. And intelligent safety management of a construction site is realized.

The embodiment of the invention provides a three-dimensional scanning detection method, which is applied to the technical field of three-dimensional scanning, and comprises the following steps: setting at least one reference area on a preset model, and definitely defining a key position which needs to be preferentially concerned by a user and ensures the integrity of scanning data; then, a user is guided to scan based on the set reference area, verification information is generated in real time in the scanning process, and the verification information displays the achievement condition of the accumulation degree of the scanning data in the reference area relative to the saturation threshold value of the scanning data in a visual mode; therefore, a user is directly notified whether the scanning data of each reference area is complete or not, and the user is guided to carry out supplementary scanning on the incomplete area in time. According to the scheme, the verification of the scanning data integrity is advanced from a traditional post detection link to a real-time scanning process, so that a user can actively ensure the scanning integrity of a key area based on visual feedback, and the detection misjudgment and reworking risks caused by missing scanning or incomplete data are fundamentally avoided.

The invention relates to the technical field of slope engineering monitoring, and particularly discloses a slope three-dimensional deformation real-time monitoring method based on multi-laser scanning, which comprises the steps of monitoring system arrangement, reference coordinate system establishment, initial scanning and coordinate recording, real-time scanning and deviation correction, data analysis and early warning and the like. The core contribution of the slope three-dimensional deformation monitoring method is that a stable reference coordinate system with self-correction capability is established, and on the basis, the slope three-dimensional deformation monitoring method with high reliability, full coverage and real-time intelligent early warning is realized through multi-sensor fusion and intelligent data processing. The system mainly solves the problems of large systematic error and low reliability caused by unstable reference in the existing slope monitoring technology, and secondarily solves the technical problems of incomplete data caused by single view angle and weak early warning capability caused by low automation degree.

The invention discloses intelligent miniature shield self-tunneling equipment integrating heat dissipation and real-time scanning imaging and a using method thereof. An intelligent miniature shield self-tunneling device integrating heat dissipation and real-time scanning imaging comprises a drill bit cutterhead, a while-drilling geological radar, a driving motor, a miniature intelligent integrated host, a water injection tank, a mud storage tank, a water and soil conveying pipe, a data transmission cable, a crawler chassis and a tunneling cabin body which are connected in sequence. The while-drilling geological radar, the driving motor and the automatic control machine box are connected with the miniature intelligent integrated host through cables, the front end of the water injection tank is provided with a water injection pipe connected with a fragment passing notch, the rear portion of the water injection tank is connected with a water and soil conveying pipe, the front end of the mud storage tank is provided with a mud conveying pipe connected with an L-shaped fragment passing notch, and the rear portion of the mud storage tank is connected with the water and soil conveying pipe. The device has the advantages that geological changes can be sensed in real time, the state of the cutterhead can be automatically adjusted, the temperature of the device can be effectively controlled through the innovative heat dissipation design, and long-time continuous work in a complex stratum is guaranteed.

The invention provides a mountainous area electric power emergency high-altitude phased array wind load resistance early warning method and system, and relates to the technical field of electric power safety and emergency, and the method comprises the steps: 1, deploying phased array radar early warning equipment at the top of a key tower of a target power transmission line section after severe convection weather emergency response is started; step 2, performing real-time scanning monitoring on a wave beam coverage area at a preset high frequency through phased array radar early warning equipment, and synchronously obtaining wind field distribution data, wire dynamic swing data and multi-dimensional monitoring data of mountain slope geological disaster activities; and step 3, based on the multi-dimensional monitoring data, determining a plane monitoring area by a target tower body structure and a specific device on a wire, and performing equal-proportion division on the plane monitoring area to obtain a plurality of independent monitoring sub-areas. Safe and stable operation of the power transmission line in the mountainous area is guaranteed.

The present invention relates to a method and apparatus for expressing scan data detected by a LiDAR mounted on a moving object as a submap based on a Normal Distribution Transform (NDT), estimating a relative positional change (LiDAR odometry) of the moving object through scan matching using Particle Swarm Optimization (PSO) between the submap and real-time scan data, and determining a covariance of the estimated LiDAR odometry by recognizing the shape of the surrounding environment based on the orientation of normal distributions represented in the NDT-based submap.

A method and a apparatus for expressing scan data detected by a LiDAR mounted on a moving object as a submap based on a Normal Distribution Transform (NDT) estimate a relative positional change (LiDAR odometry) of the moving object through scan matching using Particle Swarm Optimization (PSO) between the submap and real-time scan data, and determine a covariance of the estimated LiDAR odometry by recognizing the shape of the surrounding environment based on the orientation of normal distributions represented in the NDT-based submap.

According to the CANopen-based remote I / O node dynamic topology identification and adaptive configuration method, key configuration data of equipment is stored in Flash, and power-on automatic loading is supported. A bus is scanned in real time through an RS485 interface, the number, types and topological positions of local newly-added I / O cards are automatically recognized, an object dictionary and a PDO mapping table are dynamically updated based on a recognition result, and hot plugging, dynamic adding and online expansion of the I / O cards are achieved. The object dictionary is provided with 0 * 2000 as an equipment state area and 0 * 2001-0 * 2010 as 16 independent I / O card configuration areas, and a master station can remotely modify and dynamically add parameters of I / O cards through an SDO interface to realize online parameter configuration and hierarchical management; the system expands multiple groups of PDO and combines with a master station synchronization signal, and can adapt to the data flow change after the I / O card is dynamically added. Automatic configuration, SDO online maintenance, dynamic identification and hot plug expansion are supported, the I / O card can be dynamically added without interrupting system operation, and topology expansibility, dynamics and real-time performance of the remote I / O node are improved.

The invention relates to the technical field of seal collection document planning, in particular to a method and device for generating a design document in a low-code development environment, and the method comprises the steps: obtaining the approval rule data of a task region collected by an approval node through a low-code service, and converting the approval rule data into a two-dimensional table; scanning a rendering environment in real time, generating a real-time transaction form, and performing spatial registration on the real-time transaction form and the two-dimensional table to generate a document template; based on the passable area label of the two-dimensional table and the document template, a seal starting set decision state space is constructed; dividing an enabled seal set of a client into seals of a plurality of mechanisms, and performing adaptive dynamic planning in a decision state space of the enabled seal set to generate an enabled seal set sequence; and generating a rendering design document of the client according to the started seal set sequence. According to the method, information searching, screening and problem positioning are carried out by consuming less resources, the page debugging efficiency is high, real-time self-adaptive adjustment in a large-scale environment can be efficiently supported, and the response speed and safety of the client are improved.

This invention discloses a method, system, and computer-readable medium for image recognition and intelligent conversion in hand-drawn scenarios, comprising the following steps: Real-time capture and scanning of the current hand-drawn sketch using a camera, or direct flowchart drawing using software, to collect the current hand-drawn flowchart image information and input it into a computer, achieving real-time acquisition and transmission of the hand-drawn flowchart; acquiring the hand-drawn flowchart image information, and through steps of locating shape positions and identifying shape categories, ultimately outputting the position coordinate frames of each predicted shape, shape type, arrow key point positions, and the shape data to which the arrow belongs; intelligently displaying the image using PPT / Visio software, outputting an editable graphic for the specified software; and incorporating an OCR module to automatically generate text, ultimately outputting a complete editable graphic. This invention solves the problems of low accuracy, efficiency, and limited availability in existing hand-drawn flowchart conversion technologies.

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 application discloses an AI agent simulation risk assessment method based on plan constraints and behavior deviation degree measurement. The method calculates the behavior deviation degree (comprehensive step edit distance, tool set difference and parameter semantic change) between the actual execution sequence of the twin AI and the original execution plan during the pre-rehearsal process before the AI agent executes, simultaneously performs real-time scanning of hard rules and verification of business invariants of the final state of the twin environment, and finally outputs a risk level by comprehensively scoring in multiple dimensions. The application fully utilizes the prior information of the execution plan, and realizes fine-grained quantitative risk assessment of the simulation behavior of the AI agent.

The application provides a shield soft-hard stratum interface identification method and system based on slag change characteristics, which comprises the following steps: processing images at a slag outlet to obtain slag shape and volume, and obtaining the properties of hard rock stratum based on the slag shape and volume; performing real-time scanning on shield slag, determining the scanning surface of the surrounding environment through distance measurement values and angle values, forming a shield slag reconstruction model based on laser point cloud scanning, and obtaining the volume of the shield slag based on the shield slag reconstruction model; calculating the hard rock area proportion in the soft-hard interface according to the slag volume and the shield slag volume; obtaining the vibration signal of a shield cutter when the shield cutter enters a hard rock stratum from a soft stratum during the tunneling process of a shield tunneling machine in a composite stratum, and obtaining the change interface position of the soft-hard stratum according to the vibration signal; and drawing a shield excavation surface soft-hard stratum interface sketch based on the hard rock area proportion in the soft-hard interface and the change interface position of the soft-hard stratum, and identifying the shield excavation surface soft-hard stratum interface.

Systems and methods for generating secondary content item that includes a first portion that is a reminder of the original interest and a second portion that is content relevant to the original interest are disclosed. The methods provide primary content for the user's consumption. User interest based on a plurality of factors, such as user's gaze, heartbeat, or facial expression, is determined during the user's consumption of the primary content. One or more objects or frames are identified as primary objects or frames of interest. The methods also scan in real-time, real-life objects that are in the field of view of an augmented reality device. A determination that the real-time object is related to the primary object of interest is made. A determination is also made if any environmental or local adjustments need to be made. A secondary content item with any environmental or local adjustments is generated.

The application discloses a product barcode correction method and system combined with time sequence analysis, and belongs to the technical field of automatic identification. The method comprises the following steps: configuring a scanner at station 0 to scan a product barcode; using a health score network to perform health scoring on a real-time scanning image, establishing a product barcode score value, and obtaining a time sequence position of a corresponding product; performing score value discrimination on the product barcode score value; if the score value discrimination result is a result lower than a preset score threshold, the corresponding product is identified as a weak barcode, and a station skipping correction instruction is triggered; station complement code adaptive identification is performed according to the station skipping correction instruction; a complement code station is selected based on an adaptive optimization result, product information calling based on the time sequence position is performed by using the complement code station, and complement code processing is performed on the corresponding product according to a product information calling result. The application solves the technical problems of unstable product barcode identification quality, inability to dynamically adjust a correction strategy, high barcode error rate and low correction efficiency in the prior art.