13 results about "Cheating prevention" patented technology

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.

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.

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 application discloses a consistency inference anti-cheating check-in method and system based on cross-modal feature cooperation, and belongs to the technical field of identity verification. The multi-modal terminal is used for collecting face, voiceprint, positioning and action original features in real time, and a feature encoder is used for mapping into a feature embedding vector with unified dimensions. The system firstly calculates the identity consistency, and constructs a cross-modal time sequence feature matrix after the verification is passed. The feature change amount of adjacent node positioning and action is extracted to screen suspicious nodes. A sliding monitoring mechanism and a cross-modal conflict index evaluation model are introduced. The local cheating risk score is dynamically calculated according to the suspicious frequency, and compared with a blocking threshold, so as to identify and intercept cheating behaviors such as virtual positioning and video signing. The application breaks the single mode limitation, accurately identifies the behavior logic anomaly, effectively reduces the false alarm rate in complex scenes, and realizes a high-robustness check-in management closed loop.

The application discloses a kind of based on random trigger and multi-modal verification's job concentration supervision method and system.Method includes: after starting supervision mode, multiple shooting moments are randomly generated in preset period;In each shooting moment, job area behavior image sequence is collected, and random verification symbol is output simultaneously, verification data containing user response information is collected;Whether the user response is consistent with the verification symbol is judged by identification model, whether learning related feature exists in behavior image sequence is simultaneously identified;If verification fails or continuous multiple times are missing learning features, it is determined as "non-concentrated state", and real-time push reminder is pushed to specified terminal, and concentration report is generated simultaneously.The application realizes real, effective concentration supervision by random trigger and multi-modal verification mechanism, has strong anti-cheating ability, and can work with intelligent tutoring system, and builds solid foundation for intelligent learning ecology.

This invention relates to the field of anti-cheating technology for measuring instruments, and discloses an anti-cheating transparent encoder, including a cable with an external threaded connector fixedly connected to its surface and a circuit board inserted into its bottom. This invention achieves visual monitoring through a fully transparent overall structure, eliminates cheating opportunities through separate and independent encapsulation, and combines protection and visibility through transparent potting. By applying a surface-mounted potting compound to the transparent circuit cavity, the internal circuit board is completely sealed to the cavity, isolating it from external dust and moisture, and forming an unremovable physical protective layer through the curing properties of the potting compound. The transparent circuit cavity and mechanical cavity are independent of each other, with no internal connection structure, preventing illegally installed circuit components in the mechanical cavity from communicating through wiring within the cavity. The transparent circuit cavity and mechanical cavity are fixed with perforated locking bolts, and a custom lead seal can be added to further prevent illegal disassembly and the installation of unauthorized components.

This invention relates to the field of teaching management technology, specifically to an anti-cheating system based on big data monitoring. The system includes a video monitoring module and a wristband. The video monitoring module is evenly distributed around the sports field and is equipped with a Bluetooth communication module. The wristband includes a housing and a strap movably connected to the housing. The housing contains a data processing module that transmits signals to the Bluetooth communication module. The housing also contains a one-way tightening unit for the strap, which prevents cheating by proxy. A reset unit is also included to release the one-way tightening of the tightening unit. This reset unit transmits a stop-exam signal to the data processing module when the one-way tightening is released. By improving the timing method in middle- and long-distance running physical education exams, only a small number of invigilators are needed. The system uses video monitoring combined with automatic single-shot continuous timing to record exam scores, preventing cheating such as proxy testing.

1. Name of the product in this design: Anti-cheating scanner. 2. Purpose of this design: For anti-cheating detection. 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 application discloses a kind of support low-cost privacy protection linkable decentralized crowdsourcing method and system, method is: establishing crowdsourcing system, determines interactive entity;Run initialization and key generation algorithm, system registration is carried out;Task requester sets task, is published to blockchain through smart contract and specifies task collector to carry out task collection;Worker receives task, and sends solution under blockchain to task collector;Task collector carries out identity authentication and effective data screening, and result is published to blockchain and is opened;Anti-cheating mechanism is introduced, and each interactive entity carries out cheating disclosure on the result published on smart contract;Task collector collects final result and submits to task requester, and task requester distributes task reward.The application reduces system total overhead to constant level of complexity while protecting data privacy on blockchain, simultaneously introduces anti-cheating mechanism, allows cheating behavior to be disclosed, and guarantees the anonymity of honest users.

This invention relates to the field of information technology in construction engineering, specifically to a dual-verification anti-cheating system for construction personnel that integrates video surveillance image comparison and facial recognition. The system includes modules for image acquisition, preprocessing, facial recognition, video surveillance image comparison, fusion verification, anti-cheating detection, and result output. It simultaneously acquires facial images and surveillance video streams, extracts facial depth features and video frame texture and contour features, and calculates a comprehensive verification result using cosine similarity, improved structural similarity, and dynamic weight fusion formulas. Combined with texture complexity analysis and liveness detection, it achieves cheating determination. This invention achieves dual identity verification, improving verification accuracy and reliability. It is adaptable to different engineering scenarios, effectively identifies various cheating behaviors, ensures standardized personnel management on construction sites, and features a simple structure, strong practicality, and ease of widespread application.

The present application relates to the technical field of environmental monitoring, and discloses a kind of anti-cheating pretreatment sampling bottle and sampling method.The anti-cheating pretreatment sampling bottle includes bottle body, bottle cap, identity recognition module, reagent store, fluid driving mechanism, sensor module, optical detection module and control unit.The identity recognition module is used for operator authorization authentication;Sensor module real-time acquisition water quality parameter change data in mixing process;Optical detection module obtains the optical characteristic data of sample after mixing;Control unit records identity authentication data, water quality parameter change data and optical characteristic data, and generates the encrypted data block corresponding to the sample by encryption.This application builds an anti-cheating evidence chain of deep integration of electronic data and sample physical properties, gives the sample an unalterable digital identity at the moment of collection, solves the risk of fraud caused by the separation of electronic log and physical sample in traditional technology, and improves the anti-cheating ability of sampling link and the original representativeness of sample.