9results about How to "Accurate authentication" patented technology

The invention discloses an automatic personnel allocation method and system suitable for an MES system, a medium and equipment, and the method comprises the following steps: S1, defining a skill label: defining the skill label, and obtaining and storing the skill label of an employee; s2, skill corresponding process: establishing a corresponding relationship between the skill label and the process; s3, production data acquisition: acquiring working data of the employees in a production process in real time; s4, data analysis: generating an employee portrait, and generating an employee skill feature median; s5, optimizing process parameters: adjusting process guidance parameters according to the skill characteristics of the employees in the step S4, and optimizing the production process; and S6, automatically allocating processes: recommending an optimal personnel combination according to the employee portraits and the processes involved in the production plan. The system has the advantages that the skills of the employees and the deficient skills are mastered, so that the employees are accurately allocated to proper posts, and the storage of human resources of enterprises and the reduction of labor cost are facilitated.

The invention provides a barrier gate opening control method based on the Internet of Things, and belongs to the technical field of barrier gate control. Comprising the following steps: S1, a vehicle arrives at a detection point; s2, carrying out identity verification on the vehicle; s3, the barrier gate is opened after verification is passed; and S4, the state of the barrier gate is monitored and fed back. According to the invention, the license plate and the authorization time of the vehicle can be subjected to dual verification, so that the identity verification of the vehicle is more accurate, the safety guarantee is improved, the user can remotely operate the barrier gate anytime and anywhere through the user terminal, the management efficiency is greatly improved, the personnel running is reduced, and the user experience is improved. And meanwhile, the barrier gate can be monitored in the working process of the barrier gate, so that the barrier gate control equipment can feed back state information of the barrier gate control equipment to the cloud platform in real time, the cloud platform can give an alarm notification in time when an abnormal state occurs, and response measures such as maintenance and the like can be taken conveniently and rapidly.

The invention relates to the technical field of intelligent decision making, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses an intelligent shunting method, device, equipment and medium based on multi-modal information processing. And completing living body identity verification based on a three-dimensional structure and dynamic actions, identifying acoustic emotions and semantic emotions, fusing the acoustic emotions and the semantic emotions with interactive behaviors to generate a comprehensive emotional state, generating an access decision in combination with task complexity, executing an automatic service or a seat service, and providing a corresponding service response. According to the method, multi-modal information is formed by fusing vision, voice and interaction behaviors, user emotion and task complexity are obtained on the premise that living body safety verification is guaranteed, accurate access decision making is achieved, and therefore the intelligent level of service distribution and user experience are improved while identity verification safety and efficiency are improved.

The invention discloses a trade grain purchase and sale tax compliance supervision system, and the system comprises a grain planter database which is used for storing the basic information of related planters; the trade grain purchase and sale service system platform can record transaction information through the Internet of Things technology; and the trade grain purchase and sale supervision platform is in data communication with the grain planter database and the trade grain purchase and sale business system platform, and can compare the information of the grain seller of each planted grain with the planter information, judge the identity of the grain seller, and further judge the tax payment information. According to the trade grain purchasing and selling service system platform, information of a grain purchaser and information of a grain selling person are collected in a self-service mode through the means of the Internet of Things, and the convenience and accuracy of information collection can be improved. Identity authentication is carried out on the grain purchaser and the grain selling person, it is ensured that the tax policy can be correctly executed according to different subject identities, and non-grain planters are prevented from pretending to be planters to evade tax. The system automatically completes information comparison work, the workload of tax management personnel is reduced, and the working efficiency is improved.

The invention provides a method for generating a PUF characteristic value and a PUF key of a capacitive sensor. The method comprises the steps that a capacitive sensor is provided, a power source of the capacitive sensor is turned on, and the capacitive sensor comprises the power source, a driving voltage adjusting circuit and a capacitive sensor module; the driving voltage adjusting circuit is used for adjusting the driving voltage input into the capacitive sensor module; a plurality of groups of driving voltages are input to the capacitive sensor module through the driving voltage adjusting circuit; measuring the capacitance value of the capacitive sensor module under each group of driving voltage to obtain a plurality of groups of capacitance values; and generating a PUF characteristic value by taking the plurality of groups of driving voltages as excitation and the capacitance values under each group of driving voltages as responses. According to the method, the PUF on the sensor can be effectively realized.

The present invention provides a product traceability authentication method and system based on alliance chain, which relates to the field of blockchain technology, including: storing encrypted traceability information and consumer comment information of the entire process of the product, and saving the hash of the encrypted traceability information and the hash of the consumer comment information to the alliance chain; querying the traceability body according to the unique identification ID of the product to be authenticated, calling the platform authentication operation and the consumer authentication operation in the traceability body; the platform authentication operation obtains the hash value of each attribute value in the traceability body and the encrypted traceability information of each process of the product to be authenticated, and compares it with the corresponding attribute values ​​in the traceability body to obtain the platform authentication result; the consumer authentication operation obtains the hash of the consumer comment information, and then obtains the consumer comment information of similar products, obtains the consumer authentication result, and then obtains the final authentication result of the product to be authenticated. The present invention realizes the separation of the platform authentication process and the real data, and ensures the security and reliability of the platform authentication and consumer authentication.

The present invention discloses an identity recognition method based on multimodal fusion of palm prints and palm veins, and relates to the field of biometric identification technology. Specifically, the following steps are included: setting pairing labels for palm images in a database, setting the labels of palm images belonging to the same person to 1, and setting the labels to 0 if they are different; constructing and training an initial unimodal recognition network of palm prints and palm prints; constructing and training an initial cross-modal recognition network of palm prints and palm veins; constructing and training an initial overall recognition network through the trained unimodal recognition network of palm prints and palm prints and the trained cross-modal recognition network of palm prints and palm veins. The present invention innovatively proposes a hybrid identity recognition method that combines unimodal recognition of palm prints and palm prints with cross-modal recognition of palm prints and palm veins. This method can greatly improve accuracy and make matching closer to ideal.

The embodiment of the application discloses a kind of amusement facilities control method, device, equipment and medium based on voiceprint identification, method includes if receiving from the visitor voiceprint information collected by voiceprint analyzer, judge whether visitor voiceprint information satisfies preset operator voiceprint identification condition;Send voiceprint collection instruction to voiceprint receiver to obtain the voiceprint information collected by voiceprint receiver;Operator level analysis is carried out to voiceprint information to obtain voiceprint analysis information;Judge whether voiceprint analysis information satisfies the personnel identification analysis condition in the preset identity analysis rule;Judge whether visitor voiceprint information satisfies the command type identification analysis condition in identity analysis rule;According to the corresponding authority personnel scheduling instruction of amusement facilities distributed control strategy information is generated and sent to equipment coordination control component.The method embodiment solves the problem of poor safety of the existing amusement facility control system multilevel distributed facility control.

The invention provides a physical layer user classification authentication method based on deep learning, which combines a decision tree and a random forest algorithm to classify and identify channel characteristics under different environmental factors, and realizes preliminary authentication through classification confidence. The method comprises the following steps: collecting feature data of each user feature type of each fixed position user with labels as a data set, wherein the user feature types comprise channel distribution type features and channel features; the label is used for distinguishing whether the user is legal or the identity of each individual legal user; according to the method, large-scale and small-scale channel indexes, such as path loss, shadow effect and time delay extension, are utilized to carry out rapid primary selection on a multi-user scene of a long-term fixed position, and on this basis, an amplitude phase analysis method is adopted to complete final authentication. Simulation and actual measurement results show that the method can realize a high user identification rate in a simulation environment, and has the characteristics of high efficiency, robustness and light weight.