9results about How to "Avoid unrecognized" patented technology

The invention discloses a text error correction method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence, and the text error correction method comprises the steps that an obtained text to be corrected is input into a large language model, error probability recognition is conducted on each vocabulary in the text to be corrected based on the large language model, and the error probability of each vocabulary in the text to be corrected is obtained; error vocabularies in the text to be corrected are obtained, and the large language model is obtained by training a language model based on a professional field corpus; matching replacement candidate vocabularies of the wrong vocabularies from a preset hot word weight table, wherein the preset hot word weight table is created based on daily common words, industry terms and user feedback data of the user; based on a large language model and a preset sliding window, screening target replacement vocabularies which most meet the context of the error vocabularies from the replacement candidate vocabularies; and performing error correction on the to-be-corrected text by using the target replacement vocabulary, so that effective error correction on the to-be-corrected text in a complex or changing language environment is realized, and the accuracy of text error correction is improved.

The invention relates to a voice instruction recognition method, device and equipment, a medium and a vehicle. The method comprises the following steps: receiving a first round of voice sent by a user; identifying and analyzing the first round of speech, and determining whether a first semantic expressed by the first round of speech is a truncated semantic; if yes, executing a clarification strategy to receive a secondary voice sent by the user; and after the secondary voice is received, identifying the secondary voice, and supplementing the first semantics by using the second semantics expressed by the secondary voice to obtain an instruction corresponding to the complete semantics. According to the method and the device, the truncated semantics expressed by the user voice can be recognized and clarified, so that the truncated semantics expressed by the user voice are supplemented, the instruction corresponding to the complete semantics is obtained, and the user experience is improved.

The invention discloses an emotion understanding model training method and device, an emotion understanding method and equipment, and the method comprises the steps: obtaining a text sample from a training sample set, and enabling the text sample to comprise an emotion label; inputting the text sample into a preset network model to enable the preset network model to map the text sample into word vectors, capturing a local dependency relationship and a global dependency relationship between words by using the word vectors through a self-attention mechanism, and generating emotion prediction information corresponding to the text sample based on the local dependency relationship and the global dependency relationship, the word vector comprises position information of a word corresponding to the word vector in the text sample; calculating training loss based on the emotion prediction information and the emotion label, and updating a preset network model by using the training loss to obtain an updated preset network model; and when a training ending condition is satisfied, determining the currently updated preset network model as an emotion understanding model. Therefore, the emotion of the text can be accurately understood.

The embodiment of the invention relates to the photovoltaic field, and provides a photovoltaic module, which comprises a back contact solar cell, and the back contact solar cell comprises a first collection region and a second collection region which are alternately arranged along a first direction; the first auxiliary grid lines and the second auxiliary grid lines are alternately arranged in the second direction; the first identification point is located on the first auxiliary grid line, and the distance between the first identification point and the second collection area is a first distance; the first identification points and the second identification points are mutually staggered; the insulating layer is positioned at the end part, facing the second collecting region, of the first auxiliary grid line; wherein the insulating layer on the first auxiliary grid line with the first identification point is a first insulating layer, the first insulating layer is disconnected at the first identification point, the distance between the first identification point and the end part of the first insulating layer is a second distance, and the ratio range of the first distance to the second distance is 2-30. According to the photovoltaic module provided by the embodiment of the invention, the yield can be improved.

The utility model provides a kind of jacking rotary code scanning device, it is related to battery production technical field.Jacking rotary code scanning device includes first driving part, mounting piece, transmission part and second driving part.The output end of first driving part is connected with mounting piece, for driving mounting piece to lift, the number of transmission part is multiple, multiple transmission parts are movably arranged in mounting piece and are sequentially transmission connection, the output end of second driving part is connected with any one transmission part, for driving multiple transmission parts to rotate, transmission part is used to drive battery to rotate, to this is conducive to identification mechanism accurate identification battery, and by driving battery to rotate can effectively avoid the problem that identification mechanism cannot be identified due to battery surface reflection light influence identification mechanism cannot be identified.Obviously, the jacking rotary code scanning device provided by the utility model embodiment is high in degree of automation, and significantly improves identification success rate and production efficiency.

The present invention discloses a multi-algorithm-based face feature aggregation analysis self-learning method and system, the method steps are as follows: monitor the face photos and user basic information uploaded by the front-end face recognizer; decrypt the photos, verify the legitimacy of the user's basic information; detect the key point information; double check the user identity information; save the photos and feature values ​​into the user feature tracking library; calculate the similarity of the face feature values; save them to the user feature replacement library, and send the latest face photos and feature values ​​regularly according to the service strategy; the front-end recognition device obtains the user's face base library information and replaces the local recognition library; the system includes a background computing server, a face recognizer, a management system, an original photo acquisition module, a face detection module, a face recognition module, an aggregation analysis algorithm module, and a self-learning replacement module. The present invention provides a method for realizing dynamic adjustment of face feature information as the time dimension changes, thereby improving recognition accuracy and recognition speed.

According to the screen direction identification method and device, the electronic equipment and the storage medium provided by the embodiment of the invention, the touch angle is determined only through the touch operation of the touch screen of the user, and then the screen direction is identified through the touch angle without identifying the screen direction through an acceleration sensor, so that the user experience is improved. The problem that the screen direction cannot be recognized due to damage of the acceleration sensor is effectively avoided, and the manufacturing cost is greatly saved due to the fact that the acceleration sensor does not need to be deployed.

The invention belongs to the technical field of calculation, and particularly relates to graphic data processing, in particular to an intelligent dispatching system and method for a static distribution center, and the system comprises a label device, a detection device and a scanning device. The label device is configured to print a label according to the received medicine opening information and paste the label on the corresponding medicine; the detection device is configured to detect the sticking condition of a label on a medicine; the scanning device is configured to adjust a scanning mode according to a detection result of the detection device so as to adapt to a label on a medicine; accurate scanning of the label is achieved, information contained in the label can be conveniently and accurately obtained, and the situation that the label cannot be recognized due to deviation and wrinkles of the label is avoided.

The invention relates to a wafer data processing method and device, a chip and a computer readable storage medium. The method comprises the following steps: acquiring a test data set of a plurality of wafers to be detected, and constructing a space vector to be detected of each wafer to be detected according to the test data set; and according to the to-be-detected space vectors of the plurality of to-be-detected wafers, classifying the plurality of to-be-detected wafers to obtain a plurality of wafer groups. By adopting the method, the wafer detection accuracy can be improved, the requirement that image recognition needs to consume a large number of computing power resources is avoided, and the computing power resources are saved.