79 results about "Cheating prevention" patented technology

The invention relates to a forklift examination anti-cheating method and system based on artificial intelligence and a quantification method. The anti-cheating method for the forklift examination comprises the following steps: S1, acquiring a limb action video V (t) of an examinee during the examination and pressure data P (t) of a forklift driving system; s2, extracting a human body skeleton graph Gt at the t-th moment from the V (t); extracting the Gt to obtain a spatial structure feature set St, and extracting a time sequence dynamic feature set Dt of the St; and fusing the St and Dt features to obtain a pose feature Zt. Visual sense and hydraulic sensing data are fused, association analysis is carried out on examinee actions and vehicle responses, and abnormities which are difficult to find through a single video or sensing means are detected. Through conjoint analysis of images and pressure data, hidden cheating means such as remote control and dangerous violation operation can be identified, and three-dimensional monitoring of the examination process is realized.

The invention provides an anti-cheating method and system based on game user behavior analysis, and the method comprises the steps: constructing a multi-dimensional behavior feature collection module, and collecting the operation behavior data of a game user in real time; based on the operation behavior data, constructing a user behavior basic model through a deep learning neural network; a multi-stage discrimination mechanism for behavior anomaly detection is established, and comprehensive credibility evaluation is obtained in combination with the basic model; implementing a self-adaptive risk grade division and dynamic response strategy, dividing users into different risk grades according to comprehensive credibility evaluation, and taking corresponding anti-cheating measures for different grades; a distributed collaborative verification network is constructed, encrypted transmission and cross verification are carried out on behavior feature vectors of suspicious users among a plurality of server nodes, the reliability of a verification result is ensured through a Byzantine fault-tolerant algorithm, and meanwhile user privacy data are protected. According to the method, the personalized behavior pattern of the user can be accurately captured, the accuracy of cheating detection is remarkably improved, and the misjudgment rate is reduced.

The invention discloses an oiling machine anti-cheating monitoring system and method based on computer vision, particularly relates to the technical field of oiling machine supervision, and is used for solving the problem of supervision misjudgment caused by the fact that an existing monitoring system cannot distinguish compliance maintenance with similar visual features and illegal cheating operation. Tool use sequence features in the maintenance video stream are extracted in real time and are matched with the compliance operation knowledge base to generate a matching degree; when the matching degree is lower than a threshold value, extracting physical response characteristics of the equipment and calculating space-time offset between the physical response characteristics and the standard template; if the offset exceeds the limit, micro behavior similarity is generated; then micro material traces of a tool contact part are analyzed, and violation coefficient correction similarity is generated through thermodynamic entropy increase verification and space-time symmetry breaking detection; and finally, when the correction similarity exceeds a risk threshold value, an anti-cheating alarm is triggered, cheating behaviors such as chip welding and part replacement which take maintenance as disguise are effectively identified, and the supervision misjudgment rate is remarkably reduced.

The invention discloses an anti-cheating monitoring method and system for a platform scale based on the Internet of Things, and relates to the technical field of platform scale monitoring, an Internet of Things platform is arranged, a platform scale terminal is connected based on the Internet of Things platform, and the platform scale terminal is bound with a data packet in the Internet of Things platform according to a code; equipment information of the platform scale is collected, the equipment information comprises sensor information and weighing information, and the equipment information is transmitted to a data packet corresponding to the Internet of Things platform through the platform scale terminal; and the equipment information is safely stored through the data packet, the equipment information is analyzed, the equipment information which does not conform to a preset condition is used as abnormal information, and the platform scale corresponding to the abnormal information is used as an abnormal platform scale for reminding. According to the invention, security technologies such as encrypted storage and access control are adopted for data packets, so that the data are prevented from being tampered and stolen in a storage link. The method supports the backtracking of historical weighing records and equipment states at any time, guarantees the safety of data, and guarantees the accuracy of platform scale cheating analysis.

The application relates to a network security competition anti-cheating method and system to maintain the fairness of the competition. Through a fixed cycle and random time point mixed interception mechanism, interactive data such as network traffic, logs, system calls and the like of the operation machine and the competition node are collected in real time, and the data integrity and randomness are balanced; after data cleaning, features such as abnormal instructions and sensitive commands are extracted, and the trust value of the team member is quantitatively calculated based on a machine learning model from the dimensions of abnormal operation frequency, sensitive operation proportion and operation concentration. According to the trust value, the high, medium and low intervals are divided, the security Flag generation strategy is dynamically adapted, and a differential encryption algorithm is used. Finally, the cheating is judged by comparing the consistency of the submitted and system extracted Flags, and the precision, efficiency and scene adaptability of the anti-cheating system are effectively improved.

The invention provides an examination anti-cheating method, apparatus and device, and a storage medium. The method comprises the steps of obtaining client use information, answer efficiency information and behavior feature information of an examinee during an online examination; based on the client use information, the answering efficiency information and the behavior feature information, generating comprehensive examination features of the examinee; and judging whether an abnormal behavior exists based on the comprehensive examination characteristics. According to the method and the device, whether the examinee has the abnormal cheating behavior or not is judged by comprehensively considering a plurality of dimension characteristics such as the use condition of the client, the answering efficiency and the behavior characteristics of the examinee in the examination process, so that the cheating behavior in the online examination can be effectively identified, and the fairness of the examination is ensured.

The application relates to a gas household security check anti-cheating method and system, aiming to solve the problems of easy forgery, positioning simulation and single verification dimension of static two-dimensional codes in the prior art. The method comprises the following steps: generating an electronic dynamic two-dimensional code containing a dynamic encryption factor and a geographic position based on user historical data; when a security check personnel scans the code, the system performs real-time multiple verification on the validity of the two-dimensional code, the position proximity and the consistency of the encryption factor; after the verification, the security check is performed and the on-site photos are uploaded; whether the photos have repetition, blur or object missing abnormalities is analyzed through image recognition technology; finally, quantitative evaluation and state management are performed based on the results. Through the combination of dynamic encryption, multiple real-time verification and intelligent image analysis, a three-dimensional anti-cheating system is constructed, and the authenticity, reliability and management efficiency of the household security check are significantly improved.

1. Name of the product in this design: Multifunctional Integrated Examination Room Equipment (Ronglifang). 2. Purpose of this design: It is used for a portable, mobile, standardized integrated examination room equipment box, which has functions such as candidate identity verification, online monitoring, cheating prevention, electronic clock, broadcasting system, and examination room instruction broadcasting. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The right view has already been shown in the perspective drawing, so the right view is omitted.

The invention discloses a classroom sign-in and teaching interaction auxiliary system and method based on a two-dimensional code technology, the system is composed of an attendance checking terminal, an attendance checking server and student mobile terminal equipment, and student sign-in, classroom interaction and data management are realized through a two-dimensional code. The system comprises a sign-in module, a dynamic anti-cheating module, an interactive teaching module, a data analysis module and an education guide module, wherein the sign-in module is used for scanning codes to sign in and recording student feature information; the dynamic anti-cheating module realizes two-dimensional code dynamic refreshing and abnormal sign-in identification; the interactive teaching module supports random questioning, real-time question answering and question preemptive answering; the data analysis module performs statistics and standardization processing on the sign-in and interaction data to generate a classroom record and a learning situation report; and the education guide module pushes personalized contents based on student characteristics. Through combination of the two-dimensional code and data analysis, sign-in standardization, interaction quantification and teaching effect standardization are realized, and the problems of data missing and errors of a traditional sign-in mode are solved.

This invention relates to the field of computer technology combining artificial intelligence and educational measurement. It provides an intelligent automated examination system for university courses, comprising an automated examination center unit, a hardware and network construction unit, a hardware and software operation coordination unit, a software interface unit, an anti-cheating unit, a question bank unit, a marking unit, and an intelligent question bank management and maintenance unit. The system achieves student information binding through two-factor authentication; it ensures fair and randomized question paper generation by controlling the overall difficulty of the exam paper with a target average difficulty and tolerance; and it generates question bank management results using point-to-two correlation coefficients and two-column correlation coefficients as core statistical indicators, combined with multi-dimensional indicators, and constructs a closed-loop update mechanism. This invention enables full traceability and auditability of the examination process, effectively solving industry pain points and is suitable for the construction of automated examination centers in universities and daily course assessments.

The utility model discloses an anti-cheating mahjong tile for machine hemp, which relates to the technical field of mahjong tiles and comprises a main body layer, a character layer and an identification layer. The main body layer is set to be fully transparent, so that when a cheating person performs marking, no matter whether the main body layer is coated with a metamerism mark or a metamerism identification light source is used for irradiation, other players can discover the mark in time, the cheating person is difficult to perform marking, and the cheating behavior of the cheating person can be effectively prevented; meanwhile, at least one identification layer is arranged on the top surface or the side surface of the main body layer, and the identification layer has magnetism, so that the mahjong tiles can be used for shuffling of machine-made mahjong tiles and direction identification during stacking of the machine-made mahjong tiles, and the anti-cheating function of the machine-made mahjong tiles can also be achieved.

The invention relates to the technical field of environment monitoring, and discloses an anti-cheating preprocessing sampling bottle and a sampling method. The anti-cheating pretreatment sampling bottle comprises a bottle body, a bottle cap, an identity recognition module, a reagent bin, a fluid driving mechanism, a sensor module, an optical detection module and a control unit. The identity recognition module is used for operator authorization authentication; the sensor module acquires water quality parameter change data in a mixing process in real time; the optical detection module obtains optical characteristic data of the mixed sample; the control unit records identity authentication data, water quality parameter change data and optical characteristic data, and generates an encrypted data block uniquely corresponding to the sample through encryption. According to the method, the anti-cheating evidence chain of deep fusion of the electronic data and the physical attributes of the samples is constructed, the samples are endowed with non-tampering digital identities at the moment of collection, the fraud risk caused by separation of the electronic logs and the physical samples in the traditional technology is solved, and the anti-cheating capability of the sampling link and the original representativeness of the samples are improved.

The invention relates to the technical field of intelligent examination anti-cheating, and particularly discloses an intelligent examination anti-cheating monitoring system, which comprises a behavior cheating judgment module, an equipment cheating judgment module, a substitute examination cheating judgment module, an examination credit rating evaluation module and a database, according to the method, whether behavior cheating exists or not is judged by obtaining computer screen area pixel boundary coordinates and examinee behavior data, equipment cheating is judged by collecting body surface temperature data and analyzing the temperature rise rate, and cheating for an examinee is analyzed and judged by extracting iris texture features and obtaining gray value deviation. And finally evaluating the credit rating based on the historical examination data. According to the invention, a four-layer cross validation mechanism of visual sense-auditory sense-thermal inductance-biological characteristics is constructed, a single monitoring blind area can be covered by using multi-dimensional data complementation, a multi-source evidence chain is formed to improve the cheating identification accuracy, a comprehensive credit assessment system is established, and long-term supervision of examinees is realized.

The invention is suitable for the technical field of computers, and provides an anti-cheating method of an online examination system, which comprises the following steps: in an examination process, collecting a behavior video stream, an environment audio stream, a screen content stream and a man-machine interaction event stream of an examinee in real time, and generating multi-modal data; performing deep analysis on the multi-modal data to generate an abnormal confidence coefficient, and generating a cheating risk level in combination with the abnormal confidence coefficient; according to the cheating risk level, an intervention mechanism of the corresponding level is triggered, false alarms caused by misjudgment of a single data source are fundamentally avoided, and meanwhile the false alarms caused by environmental factors are avoided by dynamically adjusting the decision threshold value.

The invention discloses a property security inspection anti-cheating method and system, and relates to the technical field of property management, and the method comprises the following steps: S1, collecting the multi-modal data of an inspection process through a multi-source sensor, and carrying out the time synchronization and space registration processing; s2, extracting a human body posture key point sequence of the inspection personnel according to the processed multi-modal data, and constructing a space-time diagram by taking key points as nodes; s3, inputting the space-time diagram into a dynamic space-time diagram convolution network, and extracting a behavior feature coding vector through a diagram convolution operation and modal fusion strategy; s4, extracting behavior factors through the behavior feature coding vector, performing authenticity judgment on the inspection through a multi-factor fusion decision model in combination with an environment factor, a living body factor and a sequential logic factor, and outputting a judgment result; according to the invention, the problems of visual angle limitation and difficulty in dynamic behavior identification in traditional inspection verification are solved, and omnibearing and intelligent authenticity verification of the inspection process is realized.

1. Name of the product in this design: Exam Headphones (Japanese). 2. Purpose of this design: For use as anti-cheating headphones in Japanese language exams. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to the technical field of anti-cheating equipment, in particular to a cheating prevention and control terminal for computer test, which comprises a signal shielding instrument body, a circulation net is arranged on the right side of the signal shielding instrument body, a fixing plate is mounted on the right side of the circulation net, and a cooling fan is mounted in the fixing plate. A rotating shaft is arranged on the right side of the fixed plate; and the shielding plate is installed on the outer surface of the rotating shaft, and a magnet is installed on the left side of the shielding plate. According to the utility model, the heat dissipation fan is started, external air is absorbed and enters the signal shielding instrument body through the heat dissipation fan, then the external air enters the interior of the signal shielding instrument body through the circulation net, the signal shielding instrument body can be subjected to overall heat dissipation, after heat dissipation is finished, the rotating shaft is rotated again, and then the magnet and the iron block are in contact with each other; therefore, the cooling fan can be shielded, and external impurities are prevented from entering the cooling fan.

The invention provides an anti-cheating examination management system for a computer examination, which relates to the field of anti-cheating examination management systems, and is characterized by comprising the following modules: a seating list learning module, an answering progress monitoring module, a cheating detection module, a screen recording module, a warning module and an evidence submitting module. The anti-cheating management system has the advantages that the problem that examinees cheat by observing adjacent screens in a current computer examination can be effectively solved by adopting the innovative anti-cheating management system, and the system can effectively prevent the examinees from cheating by monitoring and recording the screen content of the examinees in real time and automatically storing evidences when abnormal behaviors are found, so that the system is convenient to use. In addition, the system can identify potential cheating modes through data analysis, help an educational institution to further perfect examination management strategies and ensure the fairness and academic honesty of the examinations, so that the fairness and the seriousness of the examinations can be maintained, and the reliability of examination results can be improved.

According to the anti-cheating method and system in the attack and defense exercise, firstly, a dynamic identification verification mechanism is adopted to achieve the effect that players can only submit identification scores once in the same round, the attacking players can be effectively prevented from repeatedly conducting invalid or low-value attack operations through system vulnerabilities or rule vulnerabilities, and therefore the success rate of attack and defense is improved. Malicious score swiping is carried out in a score accumulation mode; secondly, specific operations of players are judged through host video monitoring, and real attack behaviors are discriminated through flow analysis; and meanwhile, security evaluation is performed on the server and the target drone at regular time, so that the security and auditing performance of attack and defense exercises can be further enhanced.

The invention discloses a dynamic examination system based on XR augmented reality and an implementation method, and relates to the field of XR technology and education examination fusion. Aiming at the problems of weak anti-cheating ability, insufficient foreign language scenario, limited occupational qualification examination practical operation evaluation and the like of a traditional examination, the system integrates intelligent anti-cheating, immersive scenario examination, multi-dimensional evaluation and AI digital human invigilation functions, including a complete version and a simplified version. The complete version system realizes full-process safety monitoring and scene assessment through an XR intelligent head-mounted display (supporting perspective / immersion dual-mode switching and integrating a multi-mode biological recognition module, a full-band detection module and the like), scene adaptive interaction equipment and an AI digital human invigilation engine; the simplified version is a low-cost transition scheme, a lightweight XR head-mounted display is adopted, synchronous display with a traditional computer host is supported, basic anti-cheating and scenarized functions are reserved, and the system is suitable for small and medium-sized examinations. According to the method, the examination safety and the evaluation accuracy can be remarkably improved, the deployment cost is reduced, the method is suitable for scenes such as large-scale selection examinations, foreign language evaluation and occupational qualification examinations, layered landing of the XR technology in the educational examination field is achieved, and examination evaluation is promoted to be transformed from'knowledge memory 'to'problem solution'.

The invention discloses a remote intelligent anti-cheating system, a remote intelligent anti-cheating method, a micro device and a data acquisition module, which are used for uploading acquired original data through a security encryption channel, are deployed on equipment at an examinee end and are responsible for collecting all data which can be used for analysis. According to the remote intelligent anti-cheating system, method and micro-device, single monitoring is optimized to multi-modal fusion, a traditional scheme depends on a single data source such as only screen sharing or only camera, and the false alarm rate is high, the system optimizes and collects multi-dimensional data such as videos, audios, screens and processes at the same time, the core optimization lies in a data fusion algorithm, and the data fusion efficiency is improved. According to the method, abnormal signals in different modes can be subjected to correlation cross validation, so that false alarms are greatly reduced, for example, a system only triggers a high-risk alarm when the sight line is continuously deviated, subtle ear sound is detected at the same time, and screen content is suddenly stagnated, and does not give an alarm due to one action.

This invention discloses a blockchain-based system for certifying educational and training personnel qualifications and storing test scores. The core of the system is a consortium blockchain network containing educational supervision nodes, employing an improved and practical Byzantine fault-tolerant consensus algorithm and sharding technology to enhance efficiency. The teacher qualification certification module stores qualification data via IPFS and provides on-chain verification, combined with manual verification to ensure data authenticity. The student score storage module collects answer behavior data in real time, and after anomaly filtering and manual review, generates verifiable digital credentials. Merkel tree roots are anchored to the Bitcoin network to strengthen credibility. Supporting modules include dynamic trusted score calculation, multi-layered anti-cheating verification, and Polkadot cross-chain interoperability, enabling trusted scoring, cheating detection, and cross-domain credit recognition. It can also be extended to include metaverse teaching verification functions. This system, through technological and human collaboration, solves problems such as falsified educational and training qualifications, unreliable scores, and difficulties in cross-domain recognition, enhancing the effectiveness of educational supervision and adapting to diverse teaching scenarios.

The application discloses an advertisement screen inspection anti-cheating method and system, a terminal and a storage medium, and comprises the following steps: scanning and connecting an inspected device through an inspection application program; when the connection is successful, sending a detection instruction to an inspected application program in the inspected device; receiving detailed information of the current inspected device returned by the inspected application program, and verifying whether the current inspected device is a target inspected device according to the returned detailed information; if the current inspected device is the target inspected device, the current inspected device is allowed to perform an inspection work. The application utilizes a near field communication function, ensures that an inspector can only perform the inspection work when the inspector correctly arrives near the device, and thus avoids related cheating means.

The invention discloses an intelligent home door-to-door service supervision method and system, and belongs to the field of intelligent service supervision, and the method comprises the steps of code scanning sign-in, NFC verification, positioning verification, image evidence collection, data aggregation verification and task filing feedback. The technical problems of diversified service authenticity verification means, high supervision credibility and strong data tampering prevention capability and cheating prevention and control capability are solved, service supervision on service personnel is realized, the credibility and traceability are improved, and cheating means such as remote control card punching, screenshot uploading and off-site false sign-in are effectively prevented; the continuity and rationality of the service chain are ensured; the user participation degree is effectively improved, and the fairness and traceability of the service process are enhanced; the system has good software and hardware compatibility, adapts to mainstream smart phones and existing smart home equipment, and is suitable for large-scale landing application.

The invention discloses a fish scale anti-cheating method and system based on multi-dimensional feature analysis and machine learning, and belongs to the technical field of electronic weighing instruments. The method comprises the following steps: acquiring an original weight signal sequence in a weighing process; effective weighing data segments are positioned through intelligent data cleaning; a ten-dimensional feature vector containing basic fluctuation, dynamic change and composite statistical features is extracted from the data segment; and performing classification prediction by using a pre-trained random forest model, and filtering and outputting a final result based on confidence. The system comprises a prediction service module, a core prediction module and a machine learning training module. According to the invention, through combination of multi-dimensional feature analysis and machine learning, the industrial problem that a completely static cheating object is difficult to identify in the prior art is effectively solved, and the accuracy, robustness and reliability of anti-cheating detection are significantly improved.

The invention discloses a consistency inference anti-cheating sign-in method and a consistency inference anti-cheating sign-in system based on cross-modal feature collaboration, and belongs to the technical field of identity verification. The method comprises the following steps of: acquiring original features of human faces, voiceprints, positioning and actions in real time through a multi-modal terminal, and mapping the original features into feature embedding vectors with uniform dimensions by using a feature encoder; and the system preferentially checks identity consistency, constructs a cross-modal time sequence feature matrix after verification is passed, and extracts feature variations of positioning and actions of adjacent nodes to screen suspected nodes. And introducing a sliding monitoring mechanism and a cross-modal conflict index evaluation model, dynamically accounting a local cheating risk score in combination with a suspicion frequency, and comparing the local cheating risk score with a blocking threshold, so as to identify and intercept cheating behaviors such as virtual positioning and video signing on behalf. According to the method, the limitation of a single mode is broken through, behavior logic abnormity is accurately identified, the false alarm rate of a complex scene is effectively reduced, and a high-robustness sign-in management closed loop is realized.

The invention discloses an examination anti-cheating method based on combination of a mobile device and a large model. The examination anti-cheating method comprises the following steps: constructing an anti-cheating large model and making anti-cheating examination software; installing the anti-cheating examination software on the mobile terminal and granting permission; during examination, the anti-cheating examination software calls the camera and the microphone to obtain monitoring data, and the large anti-cheating model performs feature extraction and analysis on the monitoring data so as to feed back to the administrator terminal after identifying abnormal behaviors. According to the invention, after a large anti-cheating model is constructed by adopting a neural network architecture and a machine learning technology, anti-cheating examination software is made for the mobile terminal of an examinee to install and log in, so that communication connection between the mobile terminal and an administrator terminal is established, and real-time monitoring and real-time identification of abnormal behaviors are realized by utilizing the mobile terminal of the examinee. And the abnormal behavior can be timely fed back after being recognized, so that the anti-cheating effect is improved.

This invention discloses an anti-cheating monitoring method and system for platform scales based on the Internet of Things (IoT), relating to the field of platform scale monitoring technology. It involves setting up an IoT platform, connecting platform scale terminals to the platform, and binding the platform scale terminals to data packets in the IoT platform according to codes. The system collects equipment information from the platform scales, including sensor information and weighing information, and transmits this information to the corresponding data packets on the IoT platform. The system securely stores the equipment information through these data packets, analyzes the information, and identifies equipment information that does not meet preset conditions as abnormal information, alerting the platform scales corresponding to these abnormal information. This invention employs security technologies such as encrypted storage and access control in the data packets to ensure that the data is not tampered with or stolen during storage. It supports the review of historical weighing records and equipment status at any time, ensuring data security and thus guaranteeing the accuracy of platform scale cheating analysis.

The invention provides a weighing anti-cheating method and device, electronic equipment and a storage medium, and relates to the technical field of monitoring. Safe communication connection is realized by establishing an encrypted data transmission channel between a weighing instrument and a weighing sensor, and a metal grid protection layer is arranged at a wire outlet of the weighing sensor to arrange a physical protection structure. Abnormal wireless signals in the environment are detected in real time through multi-frequency-band scanning, directional shielding is started to execute signal monitoring and blocking when cheating signals are recognized, and correlation analysis is carried out on weighing data, vehicle characteristic data and personnel behavior data to recognize an abnormal weighing mode. And security audit and authority control for recording system operation logs and distributing system function access rights according to authority levels are implemented, so that the problem that multi-band cheating signals cannot be handled in the prior art can be solved.