5results about How to "Reduce rejection rate" patented technology

This application provides a training method for a fingerprint recognition network, a fingerprint recognition method, an apparatus, and a medium. The training method for the fingerprint recognition network includes: determining fingerprint feature matching maps based on a first initial fingerprint image and a second initial fingerprint image; forming a training sample set from multiple fingerprint feature matching maps; and training an original neural network based on the training sample set to obtain a fingerprint recognition network. The technical solution provided by this application solves the problem of difficulty in distinguishing whether two different fingerprint images belong to the same finger, thus reducing the false acceptance and false recognition rates of fingerprint recognition.

The application provides a parallel guide rail base mounting method, comprising the following steps: first, providing guide rail base segments, each guide rail base segment comprising a bottom support, a horizontal panel and a fixed base plate connected in sequence; then, making a mounting reference line, determining the mounting position of the parallel guide rail base according to the mounting reference line; then, mounting the parallel guide rail base to a predetermined position, and confirming and processing the position where the mounting allowance of the bottom support is out of tolerance; finally, butting and mounting the parallel guide rail base with the hull plate of the corresponding mounting position, and repairing and replacing the fixed base plate with mounting precision out of tolerance. By controlling the mounting precision of the guide rail base segment, the mounting precision of the parallel guide rail base, and then adjusting the fixed base plate, the parallelism and flatness mounting requirements of the parallel guide rail base can be met, the mounting precision is ensured, the on-site installation difficulty and waste rate are reduced, and the use cost of personnel and materials is greatly saved.

The invention relates to a cloud resource intelligent performance evaluation system and method based on a large model, and belongs to the technical field of IT resource management. The system comprises a front-end interaction layer, a knowledge management layer, an AI evaluation layer and a data support layer. The method comprises the following steps: in an application stage, guiding a user to clarify a demand and extract key parameters through multiple rounds of dialogues, automatically matching a calculation formula template and generating a recommendation configuration report; in the review stage, the application document is automatically analyzed, normalization, accuracy and logic compliance verification is carried out based on the knowledge base, and review suggestions are generated. According to the invention, through fusion of the large model, the RAG and other technologies, intelligence and standardization of the resource application and review process are realized, the process efficiency and decision consistency are significantly improved, the operation cost and dependence on expert experience are reduced, and structured precipitation and reuse of enterprise knowledge are realized.

The invention discloses a risk prevention and control method and device for a financial manual seat and electronic equipment, and relates to the field of financial science and technology or other related technical fields, and the method comprises the steps: collecting a real-time voice signal interacted between the financial manual seat and a customer, and extracting a multi-dimensional dynamic feature from the real-time voice signal, the multi-dimensional dynamic features comprise acoustic features, semantic features and behavior features; matching the multi-dimensional dynamic features with a pre-constructed customer voiceprint model; based on the matching result and the multi-dimensional dynamic characteristics, evaluating the risk level of the real-time voice signal by adopting a risk evaluation algorithm; and under the condition that the risk level is greater than a preset risk threshold value, sending a risk early warning signal to a financial manual seat, and providing prevention and control suggestions and measures. According to the invention, the technical problem of low accuracy of a voiceprint recognition strategy adopted when a financial institution carries out telephone banking service security verification in the prior art is solved.

This application discloses a method, apparatus, device, and storage medium for identifying biological objects. The method includes: identifying a target biological object using a biometric model and determining the identification result. The biometric model is established by using biological sample images as training samples and training the model under a class balance loss function. The class balance loss function includes a first additive term and a second additive term. The first additive term is used to balance the training loss corresponding to the first additive term during model training, and the second additive term is used to balance the training loss corresponding to the second additive term during model training. It is evident that the introduction of a class balance loss function during model training reduces the loss of classes with a larger number of classes and increases the loss of classes with a smaller number of classes, thus relatively balancing the contribution of different classes to the loss. This mitigates the impact of long-tailed data on model performance and reduces the false positive and false negative rates.