11results about How to "Improve verification accuracy" patented technology

This invention belongs to the field of human-computer interaction and discloses a digital human intelligent wake-up interaction device and method that integrates voiceprint recognition and facial recognition. The method includes: responding to a wake-up trigger signal by simultaneously acquiring a user's video stream and audio stream; extracting the temporal trajectory of facial key points during the user's speech from the video stream and encoding the temporal trajectory of the facial key points into a dynamic behavior feature vector; extracting the user's static facial structure feature vector from the video stream and extracting the user's voiceprint feature vector from the audio stream; inputting the dynamic behavior feature vector, the static facial structure feature vector, and the voiceprint feature vector into a pre-trained multimodal fusion model to calculate a comprehensive matching degree; and generating a wake-up command and outputting it to the digital human interaction module when the comprehensive matching degree is greater than or equal to a preset threshold. This invention significantly improves the robustness and reliability of identity verification.

The utility model relates to the technical field of dairy product quality detection, and provides an automatic detection system and an intelligent pH value detection workstation. The automatic detection system comprises a preliminary identification mechanism, an identification rechecking mechanism and a detection mechanism; in the conveying direction of the dairy products to be detected, the preliminary recognition mechanism is located at the upstream of the recognition and rechecking mechanism, and the detection mechanism is located at the downstream of the recognition and rechecking mechanism; the preliminary recognition mechanism is set to obtain first information of a dairy product to be detected; the identification rechecking mechanism is set to obtain second information of the dairy product to be detected and check the correctness of the first information based on the second information; and the detection mechanism is used for detecting the quality of the dairy products to be detected after the verification of the identification and rechecking mechanism is passed. The automatic detection system can effectively solve the problems that in the prior art, dairy product detection only depends on manual work, the detection efficiency is low, errors are prone to occurring and the like, and the dairy product detection efficiency and accuracy are improved.

This invention discloses a security verification method, apparatus, and electronic device. The method includes: responding to a user-initiated verification request by randomly generating an action sequence containing multiple action descriptions; extracting target action samples that match the action descriptions from a pre-built action sample library, and constructing an action sample set based on the extracted target action samples; displaying the target action samples from the action sample set to the user, and obtaining the action trajectory generated by the user performing the verification action under the guidance of the target action samples; detecting the action trajectory based on the action sequence, and confirming that the user has passed the security verification when the action trajectory matches the action descriptions in the action sequence. In this way, by guiding the user to perform the verification action through action samples, there is no need to touch the screen, which avoids verification failure due to accidental touches and improves the accuracy and convenience of verification.

The invention relates to the field of work ticket supervision and inspection, in particular to an intelligent power work ticket supervision and inspection system fusing multi-modal data, and the system comprises a data analysis unit which is used for determining whether to carry out the high-precision optimization of a reference verification mode or not based on a split condition; the parameter optimization unit is used for determining whether to adjust the path enumeration depth or not based on the regional topology complexity corresponding to the regional condition and the dynamic load reference degree; a processing optimization unit to determine whether to perform path order optimization based on the redundancy condition; and the task analysis unit is used for determining and adjusting cache updating duration or executing task circulation based on the range conflict value corresponding to the processing module, and determining a circulation module based on the range discrete value during task circulation execution. According to the invention, the supervision efficiency of the electric power work ticket is improved.

The present application relates to the field of work ticket supervision, and particularly relates to a power work ticket intelligent supervision system fusing multi-modal data, comprising: a data analysis unit, used to determine whether to perform high-precision optimization for a benchmark verification mode based on a split condition; a parameter optimization unit, used to determine whether to adjust path enumeration depth based on a regional topology complexity corresponding to a regional condition and a dynamic load reference degree; a processing optimization unit, used to determine whether to perform path order optimization based on a redundancy condition; and a task analysis unit, used to determine whether to adjust a cache update duration or perform task flow conversion based on a range conflict value corresponding to a processing module, and determine a flowable module based on a range discrete value in the task flow conversion. The present application improves the supervision efficiency of the power work ticket.

The application belongs to the technical field of engineering physics verification, and discloses an engineering physics verification system and method based on a unified field theory and a national geographic coordinate system, which comprises a GIS physical base map module, provides unified geographic reference and basic physical field data, a multi-physical field acquisition module, collects physical parameters of engineering components and environment in multiple dimensions to provide real-time input data, a physical verification engine module, internally built with a unified field equation, performs multi-physical field coupling calculation, a core calculation unit, outputs total correction stress, safety factor and compliance score, generates a virtual pre-assembly report, automatically issues the correction parameters to a black light factory for execution, receives execution feedback, a social collaboration module, supports socialized collaboration and data notarization in the whole verification process, and a mobile terminal interaction module, which realizes code scanning positioning, lightweight verification and early warning pushing. The application adopts the above system and method to provide a real-time, automatic and high-precision physical compliance verification tool for construction projects and industrial products.

The disclosure provides a verification method, device, equipment, medium and program product, relating to the field of information security or the field of finance. The verification method comprises: in response to an operation of a first user, determining to-be-verified information, wherein the to-be-verified information comprises information of M characters, and first verification data of N sensors is collected within a first time period during which the first user moves an electronic device according to the information of M characters; the first verification data is classified by using a pre-trained verification model, and a classification result is output; and in a case where the classification result represents that a trajectory of the first user moving the electronic device matches the M characters, verification is passed. The disclosure also provides a model training method, device, equipment, medium and program product.

The invention discloses a power distribution network verification method, system and device based on multi-path intelligent switching and a storage medium, and relates to the technical field of power distribution network verification, and the method comprises the steps: building and initializing a verification platform, and configuring related rules. And continuously monitoring the operation of the power distribution network, judging switching conditions and evaluating indexes. And selecting an optimal path for switching after the conditions are met. And a test case is injected after switching, so that protocol compatibility is ensured. And monitoring a test response, and recording data. And after the test is completed, switching back equipment and performing closed-loop control. Analyzing data, diagnosing faults, monitoring own indexes, evaluating coverage rate, and adaptively optimizing internal parameters according to a result; according to the method, the switching efficiency of the power distribution network can be greatly improved, the equipment compatibility is enhanced, the verification precision is improved, the fault recovery time is shortened, the operation complexity is reduced, and reliable operation of the power distribution network is guaranteed.

The application relates to an application service deployment method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of service messages, a blue-green application stack and a gray application stack, and dividing the service messages into a plurality of message partitions; identifying asynchronous service consumption and a target message partition of pulled target messages in each service message of each message partition; performing consumption verification processing on each synchronous service message in the target message partition based on the blue-green application stack to obtain a first verification result of each synchronous service message, and performing consumption verification processing on each asynchronous service message in the target message partition based on the gray application stack to obtain a second verification result of each asynchronous service message; and deploying consumption code logic of each service message to complete an application service deployment task in the case that the first verification result and the second verification result both satisfy system stable operation conditions. The method can improve the deployment stability effect of the system in asynchronous consumption logic change deployment.

The invention provides a neural network formal verification method and system based on node importance and adaptive scheduling. The method comprises the following steps: firstly, executing symbol interval propagation on a target neural network, and identifying unstable nodes with uncertain input; then, integrating the layer depth position of the node in the network and the propagation upper bound of the node to output disturbance, and dynamically calculating the importance score of each unstable node; further, according to the current hardware resource state and node importance, a quality and budget two-level constraint decision mechanism is adopted, key nodes are intelligently screened, an input field is divided, and sub-fields are generated; and finally, under real-time resource monitoring, dynamically scheduling each sub-domain verification task to a computing unit for parallel processing, and reducing a result to obtain a final verification conclusion. Through importance-driven resource allocation, the problem of insufficient resource utilization of an existing verification method is solved, and the verification efficiency and precision are remarkably improved.

The application discloses a DOC engine exhaust pollution conversion efficiency verification method and an engine bench, and belongs to the technical field of engines. The DOC engine exhaust pollution conversion efficiency verification method and the engine bench refer to two main factors affecting the DOC efficiency, i.e. the bed temperature of the DOC and the volume flow of the exhaust gas entering the DOC, so that the DOC efficiency verification precision is higher and more comprehensive; not only the conversion efficiency of the DOC on THC can be verified, but also the conversion efficiency of the DOC on CO and NO can be verified, the performance verification of the DOC is more comprehensive, and the DOC selection and bench fine calibration process can be used.