928 results about "Identification error" patented technology

System and method for identifying speeding violations, comprising determining a current speed and a current location of a vehicle, determining a posted speed limit for the current location from a speed-by-street database, comparing the current speed of the vehicle to the posted speed limit, and evaluating whether the current speed exceeds the posted speed limit. Errors are identified in the speed-by-street database by storing a plurality of speeding violation records, wherein the speeding violation records each include a speeding event location; analyzing the speeding violation records to identify one or more speeding event locations having multiple speeding violations; comparing a posted speed limit at the one or more speeding event locations having multiple speeding violations to corresponding speed limit data in the speed-by-street database; and identifying one or more speed limit entries in the speed-by-street database that do not match the posted speed limit.

The invention discloses an interactive speech recognition system which comprises an acoustic model, a language model selection module, a speech and sentence extraction module, a speech recognition module, a word candidate generation and error correction module and an interaction module, wherein the acoustic model and the language model selection module are used for selecting an acoustic model which is the most similar to an object to be recognized in the pronunciation characteristic for the object to be recognized and a language model which is the most similar to the object to be recognized in the field for the whole recognition process according to the information of the object to be recognized; the speech and sentence extraction module is used for segmenting the whole section of a speech signal into a plurality of speeches and sentences, extracting the segmented speeches and sentences and sending to the speech recognition module; the speech recognition module is used for recognizing the speeches and the sentences extracted by the speech sentence extraction module and outputting an intermediate recognition result; the word candidate generation and error correction module is used for processing the intermediate recognition result to generate a candidate assembly and correcting recognition errors according to selected candidates or input correct data to obtain a final recognition result; and the interaction module is used for sending data input by a user to the acoustic model and the language model selection module and feeding back the recognition result of the word candidate generation and error correction module to the user.

The present invention provides an image display device which includes a photo-sensing circuit capable of high-speed light signal reading at high S/N ratio and has a touch-panel function with less influence by disturbance light and less wrong recognition.

The image display device comprises a display unit in which display pixels having thin-film transistors are arranged in a matrix and a plurality of light detection pixels within the display unit. The image display device is configured in such a way that a first light sensing element that receives observation light and a second light sensing element that does not receive observation light are electrically connected, and that a blue color filter and the first light detection pixel are overlapped and a green or a red color filter and the second light detection pixel are overlapped at a light sensing element that outputs potential modulation at the connection point of the first and second light sensing elements.

A method and device for warning a driver of lane departure, wherein a first analyzer is used to detect the vehicle's lane departure based on image data and/or vehicle data and/or driver activity. The driver then receives a warning as a function of the detection by the first analyzer. In addition, a second analyzer for evaluating the driving situation is provided, which either performs the evaluation of the driving situation after the detection and via which the warning is suppressed as a function of the evaluation, or which alternatively performs an evaluation of the driving situation before the detection and via which a detection of lane departure is suppressed as a function of the evaluation. As a result, the driver receives highly reliable warnings of lane departure, and furthermore thanks to the evaluation of the driving situation erroneous warnings may be recognized highly reliably and as a result suppressed, so that the driver is not distracted unnecessarily and the product enjoys a high acceptance level among users.

The invention discloses a Chinese text automatic correction method. The method comprises the following steps of: a) inputting a to-be-corrected Chinese text, and performing word segmentation preprocessing on the Chinese text sentence by sentence; b) searching for one-character words, two-character words or disperse strings of three or more than three characters occurring in the text subjected to word segmentation sentence by sentence; c) performing continuous determination on the disperse strings occurring in the text subjected to word segmentation by adopting an N-gram model, and checking text word level errors for each single sentence in combination with a word forming probability of separate characters; and d) constructing an error correction knowledge base to generate an error correction candidate text. According to the Chinese text automatic correction method provided by the invention, the one-character words, two-character words or disperse strings of three or more than three characters occurring in the text subjected to word segmentation are searched for sentence by sentence, the disperse strings occurring in the text subjected to word segmentation are subjected to continuous determination by adopting the N-gram model to determine identification errors, and the error correction knowledge base is constructed to generate the error correction candidate text, so that error checking and correcting processes are combined very well, and the method has the characteristics of high error checking speed and high error correcting efficiency.

A speech recognition system comprises at least a speech recognition engine and a display device that contains a signal status interface and a textual interface. The signal status interface is used to show a recording status, a speech processing status, or a complete speech recognition status based on waveforms display. The textual interface is used to show word units of the speech recognition results. Two sets of commands are connected with each waveform unit on the signal status interface and each word unit on the textural interface, respectively, in order to allow users to correct the recognition errors or to adjust the speech recognition system.

An ATA-compatible drive interface with error correction and detection capabilities is disclosed. Being fully ATA backward compatible, this interface functions with the same physical cable and connectors as current ATA systems, employs bus drivers that are the same as or backward compatible with those provided by earlier versions of the ATA standard and uses signals with cable signal transitions no faster than those presently seen by current ATA devices. The error detection feature indicates when a data block is erroneously transferred between the device and host; the error correction feature identifies the words transmitted in error and corrects those words on the receiving side of the interface. So that ATA backward compatibility is maintained, the data integrity checking feature does not require additional words in a data transfer, and the data correction feature does not require new data transfer protocols or additional data transfer overhead. Also disclosed are interface circuitry and a new ATA-compatible transfer mode capable of transferring data at 40 MB/sec, the rate supported by local bus adapters for disk drives. Given the physical limits of the ATA cables and connectors, the error correction and detection features are especially useful for correcting data words corrupted during high-speed transmission; however, error correction and detection can also operate independently of the fast transfer mode. Consistent with full backward compatibility, a hard drive configured with the new, fast, error-correcting interface is transparently functional when plugged into a current ATA adapter provided by a legacy computer system.

The present invention discloses a unified identification protocol for training and health, comprising: unified multipurpose identifier that serves to identify individuals and the relationships established with these individuals, such as relationships with entities, professionals, products, services and transactions, generation of a multipurpose identifier, unique, non-transferable and univocally distinguishable through a computer system. The computer system that identifies them universally to avoid identification errors, based on UUID, DID and/or other formats and unify the data of the same individual existing in different systems, stored in one or several electronic devices of the individual and/or their legal guardians and, additionally, in one or more cloud services, certify access permissions granted /revoked to the different data compartments in the profile of the individual and the authenticity of the data, carried out in one or more distributed data ledger technologies or blockchains.

A method for reducing recognition errors. The method includes receiving an N-best list associated with an input of a computer based recognition system. The N-best list includes one or more hypotheses and associated confidence values. The input is classified in response to the N-best list, resulting in a classification. A re-scoring algorithm that is tuned for the classification is selected. The re-scoring algorithm is applied to the N-best list to create a re-scored N-best list. A hypothesis for the value of the input is selected based on the re-scored N-best list.

Pattern recognition capable of robust identification for the variance of an input pattern is performed with a low processing cost while the possibility of identification errors is decreased. In a pattern recognition apparatus which identifies the pattern of input data from a data input unit (11) by using a hierarchical feature extraction processor (12) which hierarchically extracts features, an extraction result distribution analyzer (13) analyzes a distribution of at least one feature extraction result obtained by a primary feature extraction processor (121). On the basis of the analytical result, a secondary feature extraction processor (122) performs predetermined secondary feature extraction.

For a flexible error trace mechanism, embodiments may be implemented for C/C++ interface libraries, or in programs written in C/C++ or other programming languages. In one embodiment, when an error occurs in a function call, a trace element may be recorded that may include the source file name, function name, line number and other information that may be used to identify the error. In one embodiment, the library function may call a plurality of library functions in a function call stack. For each of the plurality of library functions, if the library function generates an error, an error trace element may be added to the error trace. After completion of the library function, the program may obtain the error trace for the library function. The error(s), if any, may be debugged using the information in the obtained error trace.

An error management system and process can be used to identify an erroneous data packet in a data stream. In response to identifying the erroneous data packet, a subsequent valid data packet is located in the data stream. In one embodiment, a plurality of candidate locations of header checksum windows are searched and checked for a valid checksum. Multiple integrity checks of multiple header checksums can be used to reduce the probability of a false positive integrity check. In another embodiment, one or more information data fields can used for determining packet integrity by determining if the fields contain valid information bits.

The invention discloses a convolutional neural network-based character recognition method, and mainly aims at solving the problem that existing manual engineering drawing data input is time-consuming,labor-consuming and high in error rate. The method comprises the following main steps of: 1) converting grayscale images into binary images by adoption of Otsu method-based optimal global threshold value processing; 2) rotating to correct inclined images; 3) extracting a table box by adoption of a mathematic morphological algorithm; 4) obtaining an area where characters are located; 5) rotating inclined character strings for a corresponding angle to a horizontal direction; 6) searching circles in the images by adoption of a circular Hough transformation algorithm, and extracting welding beadnumbers in an engineering drawing; 7) carrying out image-text recognition on the engineering drawing by adoption of a convolutional neural network method; 8) correcting simple errors through an encoding rule and automatically correcting recognition errors; and 9) outputting and storing the drawing data. In image-text recognition of engineering drawings, the method has high correctness and timeliness, and is capable of realizing efficient recording and management of engineering drawing data.

A diagnostic system provides help to a user utilizing a data store that stores one or more solutions to at least one error. A storage component logs error data and associates errors, responses to the errors, and information indicative of whether each of the error responses was successful or unsuccessful. A linking component receives the error data from a source and identifies an appropriate solution to the error data from the information logged in the storage component. A presentation component presents the appropriate solution to a user.

A lithography mask layout is designed and verified incrementally to help reduce the amount of time to produce the mask layout. For one embodiment, a layout defining a target pattern may be processed to produce a mask layout, and the mask layout may be verified to identify errors. Rather than processing and verifying the entire mask layout for error correction over one or more subsequent iterations, sub-layouts having errors may be removed or copied from the mask layout for separate processing and verification. Because the amount of data defining a sub-layout is relatively small, the time to design and verify the mask layout is reduced. The resulting mask layout having one or more processed and verified sub-layout(s) may then be used to manufacture a mask set to help print the target pattern in manufacturing integrated circuits (ICs), for example.

The invention provides a recognition text error correction method and device, and belongs to the technical field of language processing. The method comprises the following steps of: determining an error correction word corresponding to an error participle of each recognition error in a recognition text; replacing the corresponding error participle in the recognition text by each error correction word so as to obtain error correction candidate texts corresponding to the recognition text; and determining an error correction credibility corresponding to each error correction candidate text and taking the error correction candidate texts, the error correction credibility of which is greater than a first preset threshold value, as error corrected recognition texts. After the recognition text isobtained through voice recognition, the error correction candidate texts with relatively high credibility can be selected as error corrected recognition texts, so as to carry out error correction onthe recognition text and improve the correctness of subsequent translation.