352results about How to "Improve quality inspection efficiency" patented technology

The invention discloses a call speech quality inspection method and device, computer equipment and a storage medium, and is applied to the field of artificial intelligence. The method comprises the following steps: acquiring the call recording data in the quality inspection cycle, wherein the call recording data carries the seat person identifier; using the target speech static decoding network toperform text translation of the call recording data so as to obtain the call text data; performing sensitive word verification on the call text data, extracting the target sensitive words and obtaining the first quality inspection score value based on the target sensitive words; using a multi-dimensional quality inspection scoring model corresponding to the quality inspection scoring table to perform quality inspection scoring on the call recording data and the call text data so as to obtain the second quality inspection score value; and obtaining the comprehensive quality inspection result corresponding to the seat person identifier according to the first quality inspection score value and the second quality inspection score value. The method has low cost and high efficiency in call speech quality inspection and has more objective quality inspection result.

The invention discloses an automatic voice quality inspection method, a system thereof, a device and a storage medium. The method includes the following steps: obtaining a voice file to be inspected;processing the voice file to be inspected, and converting the voice file to be inspected into a structured text file; scoring the voice file to be inspected and the structured text file according to apreset quality inspection scoring dimension and a preset score rule, and obtaining the score corresponding to each quality inspection scoring dimension; wherein, the quality inspection scoring dimension includes speech rate and silent analysis scoring, emotional analysis scoring, keyword and sensitive word detection scoring, and quality inspection rule matching scoring; and obtaining the final score of the voice file to be inspected according to the score corresponding to each quality inspection scoring dimension. The method can realize automatic voice quality inspection, and improves qualityinspection efficiency and accuracy.

The invention discloses a recheck platform which is used for rechecking defects in quality inspection of prints and comprises a rack, a working table, an unwinding wheel, a winding wheel, a position detection device, a power device and a microcontroller, wherein, the unwinding wheel and the winding wheel are arranged on the rack; the unwinding wheel transmits the prints to the winding wheel to rewind the prints; the winding wheel is connected with a power device; the position detection device detects the position to which the prints are transmitted and is connected with the microcontroller; the microcontroller stores the position information of defects of the prints and compares with the information of the position when the prints are transmitted to control the power device. The recheck platform can lighten the burden of visual sense detection device, thus the visual sense detection device is only responsible for detection, reconstructs the detection process, separates the process links such as time consuming stopping rejection and label supplementing and the like from the detection process, lowers cost and improves the efficiency of quality detection. The invention also relates to a system adopting the platform to detect the quality of prints.

The invention belongs to the technical field of code automation test, and discloses a continuous integration automated test method.The method includes dividing the project tasks into subtasks, and associating the code under test with a specific task number; The hook script is configured on the SVN service to call the Jenkins service to build automated test, and the continuous integration tool Jenkins is triggered by the SVN hook script every time the code associated with the task number is submitted to schedule the code detection tool to execute the test, and the test is completed automatically from the integration to the test key. Importing preset quality rules and quality thresholds to improve the effectiveness of code quality detection; And it can track and monitor the progress of the task with the help of the project management platform, including the whole process from claim, development, testing to completion, which can not only effectively improve the efficiency of code qualitydetection, but also accurately locate the code problems, making the responsibility of code repair clearer and more specific; Feedback information is sent to the responsible person in the form of e-mail and QQ instant message, so as to effectively guide the improvement of the project.

The invention relates to a scoring method and system for quality inspection voice of a call center. The method comprises the following steps: acquiring the quality inspection voice with a text format of the call center; comparing the quality inspection voice with preset characters, and detecting whether the quality inspection voice includes the characters or not; scoring the quality inspection voice according to a value corresponding to a detection result to obtain a first score of the quality inspection voice. A quality inspection system comprises a quality inspection voice acquiring module for acquiring the quality inspection voice with the text format of the call center, a quality inspection voice detection module for comparing the quality inspection voice with the preset characters, and detecting whether the quality inspection voice includes the characters or not, and a quality inspection voice scoring module for scoring the quality inspection voice according to the value corresponding to a detection result to obtain the first score of the quality inspection voice. According to the scoring method and the scoring system for the quality inspection voice of the call center, the labor cost is effectively reduced, and the quality inspection efficiency is improved.

The invention discloses a device and a method for automatically detecting lens defects through modulation by an optical grating. The device comprises an isolation detecting system, a motion control system and a light source system, wherein the isolation detecting system is arranged in a camera bellows (13); the motion control system is arranged at the bottom of the camera bellows (13) and arranged on one side of the camera bellows (13); the device is characterized in that the optical grating (6) is fixed on a linear lead screw guide rail (5), a planar backlight (10) is fixed below a to-be-detected lens (4) in parallel and connected with a light source controller (11), and a main controller (12) controls the motion control system through a motion control card (9). According to the method, lens images are sampled twice through movement of the optical grating, the lens defects are classified, positioned and measured through analysis of gray values and morphological characteristics of bright and dark field images, and lens detection accuracy and efficiency are greatly improved.

The invention discloses an intelligent voice-based calling quality check method, and belongs to the technical field of calling systems. The method comprises the following steps of acquiring real-timevoice data from a calling system, and converting the voice data into text data, wherein the voice data comprises a position identification code corresponding to the position of an agent, and the corresponding position identification code is inherited in the text data; analyzing the text data to extract keywords; matching the extracted keywords with a preset sensitive vocabulary library and / or a risk logic library, and outputting a matching result; judging whether the text data is legal or not according to the matching result, and if not, obtaining the position identification code contained inthe illegal text data, and sending the matching result to the agent corresponding to the position identification code; and forming an illegal report and sending the illegal report to a corresponding manager. According to the method, the quality check coverage rate can reach 100%.

The invention discloses an equipment abnormality detecting method. The equipment abnormality detecting method comprises the steps that first audio information corresponding to current running of to-be-detected equipment is obtained; the first audio information is compared with pre-stored second audio information, and the second audio information is corresponding audio information of the equipmentin the normal running state; and if the first audio information is not matched with the second audio information, equipment abnormality is judged. The invention further discloses an equipment abnormality detecting device and system, an air conditioner and a computer readable storage medium. By means of the equipment abnormality detecting method, device and system, the air conditioner and the computer readable storage medium, the equipment quality checking efficiency is improved.

The invention relates to the field of artificial intelligence, and provides a double-recording video quality detection method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a quality detection request which is sent by a terminal and carries a node identifier of a to-be-detected node; Searching a corresponding quality inspection rule according tothe node identifier; Extracting a plurality of frames of video images from the double-recording video corresponding to the node to be detected according to the quality inspection rule, performing facerecognition on each extracted frame of video image to obtain a face recognition result corresponding to each frame of video image, and obtaining a video detection result of the node to be detected according to the face recognition result corresponding to each frame of video image; Obtaining double-recording-frequency data from the double-recording video corresponding to the node to be detected, and performing voice conversion on the double-recording-frequency data to obtain a double-recording text; Performing word detection on the double-record text according to a quality inspection rule to obtain an audio detection result corresponding to the to-be-detected node; And obtaining a quality detection result corresponding to the to-be-detected node according to the video detection result andthe audio detection result.

Embodiments of the invention provide a text data quality check method, apparatus and device, and a computer readable storage medium. The method comprises the steps of obtaining message-level dialoguetext data and conversation-level conversation text data, and performing preprocessing; according to preset quality check points and rules corresponding to the quality check points, marking out the quality check points in the preprocessed dialogue text data and conversation text data; according to the preset rules, integrating quality check point results marked out by a full text search engine andquality check point results marked out by a preset neural network model to serve as a final quality check point result. The quality check results obtained by matching of the full text search engine and the quality check results classified by the preset neural network model can be combined according to the preset rules, so that the text data quality check efficiency and accuracy are improved.

The invention discloses a seat surface defect detecting system based on machine vision. The seat surface defect detecting system comprises a mechanical arm, a numerical control device, a laser range finder, an image collecting device, an image processing and analyzing platform and a database system. The laser range finder and the image collecting device are installed on the mechanical arm; the numerical control device is connected with the mechanical arm; the image collecting device is connected with the image processing and analyzing platform; the image processing and analyzing platform is connected with the database system, and the database system is used for storing the detecting and analyzing result of the image processing and analyzing platform. Compared with the prior art, according to the seat surface defect detecting system, the product quality detection level is improved, the product quality detection efficiency is improved, the seat surface defect detecting system is beneficial supplement of intelligent industrial manufacturing, labor is released, and it is promoted that an enterprise uses the information technology to transform and improve traditional production flow; meanwhile, a single camera is adopted to replace multiple cameras so that the detection cost can be reduced; due to single-frame shooting, information processing pressure is reduced, and the system is simpler and more stable.

The invention discloses a voice-based user classification method and device, computer equipment and a storage medium. The method comprises the following steps: recognize speech to be recognized through an N-gram model to acquire a recognition result; extracting keywords from the recognition result to obtain a keyword set corresponding to the recognition result; obtaining a semantic vector of the keyword set, and taking the semantic vector as input of a text emotion classifier to obtain a text emotion recognition result; and converting the keywords of the name part-of-speech into correspondingtags according to a preset tag conversion strategy corresponding to a tag library so as to obtain a user portrait corresponding to the identification result. Speech recognition, emotion recognition and user portrait technologies are adopted. Text emotion recognition and user portrait drawing are carried out after voice recognition is carried out according to the to-be-recognized voice of communication between the seat and the user, various types of customers are effectively classified, spot check of quality inspection posts is facilitated, and the quality inspection efficiency is improved.

The invention relates to seating screen recording and discloses a seating screen recording method, a quality inspection method and related equipment. The seating screen recording method comprises the following steps of: starting an operating duty corresponding to an operation key point when the operation key point is monitored; storing an operating result of the operating duty; and storing a congruent relationship of the operation key point and the operating result in a database. Due to the utilization of the invention, generated video files can be reduced, and the construction cost of a customer service center is reduced.

The invention provides a method and device for randomly detecting and evaluating navigation electronic map quality, which belong to the technical field of navigation. The method comprises the steps of randomly selecting navigation electronic map information of an area to be detected from a navigation electronic map; obtaining field data of the area to be detected; comparing the selected navigation electronic map information of the area to be detected with the obtained filed data of the area to be detected so as to obtain comparing results; counting the comparing results and calculating an average correct rate of the comparing results according to the count comparing results; and obtaining an integral quality distribution level of the navigation electronic map product through calculating a detecting and evaluating result of a sample area. Therefore, quality detecting efficiency of the navigation electronic map product is effectively increased and the timeliness of the detecting result is assured.

The invention provides a monocrystalline silicon solar cell surface defect detection method based on grating detection. The method comprises the following steps: firstly, image scaling and median filtering are adopted to preprocess a monocrystalline silicon solar cell surface image; then, a grating detection method is provided for eliminating main gratings and auxiliary gratings in the monocrystalline silicon solar cell surface image; then, a method of combining super pixel segmentation and adaptive threshold processing is provided for detecting a defect area in a non-grating image and an initial detection result map is obtained; and finally, through image scaling, post processing is carried out on the initial detection result map, and a final detection result map is obtained. Monocrystalline silicon solar cell surface image acquisition quality requirements are relatively low, the detection speed is quick while high detection accuracy is kept, and great significance is achieved for improving the monocrystalline silicon solar cell quality detection efficiency and the ex-factory pass rate.

The invention relates to the technical field of display screens, in particular to a large-size display screen defect detection and positioning method. The method comprises the following steps of displaying a screen calibration picture on a reference display screen, and acquiring a screen calibration picture image; acquiring off-line calibration parameters for identifying the reference position information from the screen calibration picture image; sequentially displaying detection pictures on a to-be-detected display screen, and carrying out on-line compensation on the position of the to-be-detected display screen by utilizing the off-line calibration parameters in order to obtain position parameters of the to-be-detected display screen; analyzing the collected detection pictures to obtainimage coordinates of a defect; and converting the image coordinates of the defect into screen coordinates according to the position parameters of the to-be-detected display screen. The display of thescreen calibration picture and the extraction of sub-frame angle point information are not needed, and the first detection picture is compensated through the off-line calibration parameters, so thata to-be-detected area of the screen of a panel in the accurate positioning image can be determined, the method is simple and convenient, and the detection time of an AOI workstation can be effectivelyshortened.

The invention discloses a calligraphy quality detection method and device based on artificial intelligence, and electronic equipment. The method comprises the following steps that: obtaining a writtencharacter to be detected, identifying the written character, searching a copybook database to obtain a copybook character corresponding to the written character; according to a preset quality detection dimension, independently extracting the first character characteristic of the written character and the second character characteristic of the copybook character; comparing the first character characteristic with the second character characteristic to obtain a characteristic diffidence, according to the characteristic different, inquiring preset evaluation information, and obtaining the score result of each quality detection dimension; and according to preset weight corresponding to each quality detection dimension and the score result of each quality detection dimension, generating a quality detection result of the written character. Therefore, the calligraphy quality detection method based on the artificial intelligence is provided so as to conveniently carry out objective evaluationon calligraphy quality, and calligraphy quality detection efficiency is improved.

The invention provides a solar cell defect detection method integrating short-time and long-time depth characteristics. The method comprises the following steps: preprocessing; performing short-time depth feature extraction, including blocking and vectorizing the preprocessed images and then sending the images into a stacked noise reduction automatic encoder to be trained; obtaining a two-dimensional adaptive depth feature matrix learned by all image blocks, and converting the two-dimensional adaptive depth feature matrix into a three-dimensional matrix to obtain a short-time depth feature composed of current image observation information; extracting long-time depth features; integrating and converting the short-time depth feature and the long-time depth feature; and performing low-rank matrix decomposition and post-processing to obtain a final detection result. According to the method, the defect of the solar cell is characterized by using the depth characteristics fusing the currentimage observation information and the priori knowledge, so that the universality and accuracy of the defect detection of the solar cell can be remarkably improved, the calculation amount is small, thedetection efficiency is high, and the positioning precision is relatively high.

The invention provides an automatic speech quality testing method for a calling system. The method comprises the steps that a speech data acquisition module obtains speech data from the calling system, then the acquired speech data is sent to a text-speech translation module, and the text-speech translation module converts the speech data into text data and sends the text data obtained after translation to a text data storage module for saving; and an intelligent quality testing condition generation module obtains intelligent quality testing conditions according to quality testing data of an intelligent quality testing module and a quality testing learning algorithm. Through automatic speech quality testing method for the calling system, speech quality testing can be realized systematically and intelligently, full-amount coverage quality testing can be performed, quality testing efficiency is high, the workload of quality testing staff is lowered, the quality testing staff concentrate on a small amount of data not passing quality testing due to a low quality testing score and quality testing fuzzy data, and meanwhile multiple quality testing conditions are quickly fused to perform quality testing evaluation on a speech at the same time.

The invention discloses a dual-recorded video quality inspection method and device, equipment and a readable storage medium, and relates to the field of machine learning. The method comprises the following steps: splitting a dual-recorded multimedia file; carrying out keyword monitoring on an audio file to obtain an occurrence moment of a keyword in the audio file; segmenting a video file at the occurrence moment to obtain a key video clip corresponding to the keyword; and performing quality inspection on the image frames in the key video clip in a video quality inspection mode corresponding to the keyword to obtain a quality inspection result of the dual-recorded video. Keyword monitoring is carried out on the audio file in the dual-recorded video, the key video clip is extracted from thevideo file according to the monitored keyword, so that different key video clips are subjected to different quality inspection processing in the quality inspection mode corresponding to the keywords,the quality inspection result is obtained, the quality inspection efficiency is improved, the quality inspection calculation of the dual-recorded video is completed by the server, and the parallel computing capability of the quality inspection calculation is improved.

The embodiment of the invention provides a defect detection and recognition method and device, a computer readable medium and electronic equipment. The defect detection and identification method comprises the following steps: acquiring a target product image; matching the target product image with a template image corresponding to the target product image to obtain a first defect image of the target product image; performing defect detection processing on the target product image through a neural network model to obtain a second defect graph corresponding to the target product image; and identifying defects contained in the target product image by combining the first defect image and the second defect image. According to the technical scheme, the accuracy of the quality inspection result can be improved, manual quality inspection can be replaced, and the quality inspection efficiency is effectively improved.

The invention provides a data achievement information quality intelligent detection method and system based on a task model. According to the method, a plurality of pieces of detection task information corresponding to data achievement multi-dimensional quality detection factors are subjected to detection task computational modelling based on a quality testing algorithm, so as to build a task model; to-be-detected data achievement is recollected and a required detection task is selected to form a task group; the task group is input to a task model; all the detection tasks in the task group areexecuted through a task model so as to obtain a detection task computational result; then, the detection task computational result is subjected to data analytic processing and a data achievement information quality detection report is output to achieve intelligent detection. The method can process mass data; the selected detection task is directly input to the task model for automatic detection,thereby saving time cost and labor cost, and improving the efficiency, accuracy and comprehensiveness of data achievement information detection overall.

The invention discloses a voice quality inspection method and a device, computer equipment and a storage medium. The method comprises the following steps: acquiring service information and voice data;performing text conversion on the voice data to obtain text content; extracting service attribute content from the text content, and verifying whether the service information and the service attribute content are consistent or not to obtain a verification result; matching the text content with the business attribute content removed with preset violation content to obtain a matching result; extracting voice features from the voice data, and performing emotion recognition on the voice features to obtain an emotion recognition result; and if the verification result shows that the verification issuccessful, the matching result shows that the matching fails, and the emotion recognition result belongs to a preset emotion label, determining passing of the quality inspection. According to the voice quality inspection method, comprehensive and objective quality inspection results are obtained through comprehensive analysis in the three aspects of service information verification, violation content matching and emotion recognition, the quality inspection efficiency is improved, and the labor cost is reduced.

The invention discloses a customer service quality inspection method, device and system. The customer service quality inspection method comprises the steps of parsing service information sent by the customer service staff to a customer in the process that the customer service staff provide customer services to the customer; matching a parsing result of the service information with preset non-standard service conditions; and sending a standard service prompt corresponding to the service information to the customer service staff when the matching result meets the non-standard service conditions. The method, device and system disclosed by the invention are applied to inspecting the quality of the customer services in real time in the process that the customer service staff provide customer services to the customer, and the quality inspection efficiency is improved.

The invention discloses a code quality monitoring method, a device, a computer device and a storage medium. The method comprises the following steps: obtaining a code submission log corresponding to the code submission request based on the code submission request; obtaining a code submission log corresponding to the code submission request based on the code submission request; obtaining a code submission log corresponding to the code submission request. The code submission log is monitored by SVN monitoring task process, and the code submission log is arranged according to the sequence of thesubmission time, and the code submission log queue is obtained. Code specification detection tool is used to detect the source code corresponding to the code submission log queue. When the non-standard code is detected by the source code corresponding to the code submission log, the modification prompt information is generated based on the non-standard code, and the modification prompt informationis sent to the SVN client corresponding to the author ID, so that the SVN client displays the modification prompt information. The method improves the efficiency of normative detection of the sourcecode, and realizes the function of quality monitoring for each developer's source code.

The invention discloses a video quality inspection method, which is used for solving the problem of low timeliness of video quality inspection. The method provided by the invention comprises the following steps of: extracting frames from the target video to obtain each video picture; Carrying out face recognition on each video picture, detecting whether the face of a designated person is includedin each video picture, and obtaining a first detection result corresponding to each video picture; Speech recognition processing is carried out on the speech of the target video to obtain the target text; Calculating the required reading rate of the required reading text according to the target text and the preset required reading text; Calculating the unreadability rate of the unreadable text according to the target text and the preset unreadable text; Detecting whether the required reading rate is higher than a preset first threshold value and the unreadable rate is lower than a preset second threshold value to obtain a second detection result; If yes, the target video quality inspection is confirmed to be passed; Conversely, it is determined that the target video quality inspection doesnot pass. The invention also provides a video quality inspection device, a computer device and a storage medium.

The invention provides a voice quality inspection scoring method and device, a terminal and a storage medium, and the method comprises the steps: obtaining recording audio data; converting the acquired recording audio data into data in a text format, the data in the text format comprising seat text data corresponding to the audio data of the seat personnel; and performing matching scoring on the seat text data and a preset scoring index through a cosine similarity algorithm and / or a Hamming distance algorithm to obtain a service quality score of the recording audio data. According to the method, the recorded audio data are automatically identified and scored, excessive manual participation is not needed, intelligent quality inspection is achieved, full coverage quality inspection can be conducted, the quality inspection efficiency is high, the workload of quality inspection workers is reduced, and the quality inspection quality is improved.

The invention discloses a method for filling an aerosol generating product. The method comprises the following steps of (1) preparing a tube body (1) of the aerosol generating product, (2) filling a filtering part (2) in the tube body (1), wherein the filtering part (2) is close to the near lip end of the tube body (1), (3) installing the blocking flow guide part (3) from the far lip end of the tube body (1), (4) installing a fuming unit (4) from the far lip end of the tube body (1), wherein the smoke generating unit (4) is positioned at the far lip end of the tube body (1), and (5) sealing the far lip end of the tube body (1), and forming a sealing piece (5) on the end surface of the far lip end of the tube body (1). Each part is sequentially filled from the near lip end to the far lip end of the aerosol generating product for the first time, so that the pollution to the tube body (1) caused by the fuming unit (4) when the fuming unit (4) is filled is effectively avoided, the appearance qualification rate of the product can reach 100%, the manual quality inspection strength is reduced, the efficiency is improved, the loss is reduced, and the profit margin is increased for enterprises.

The invention provides a workpiece quality detection method for multiple cameras. According to the method, the applied detecting mechanisms include a plurality of cameras, detecting and control systems, workpieces and working platforms; and the method is characterized by comprising the following steps: installing cameras in the detecting mechanisms, transferring the workpieces into shooting view areas of the cameras in the detecting mechanisms; acquiring the images of the workpieces from the cameras in the detecting mechanism; transmitting the images of the workpieces into the detecting and control systems through the cameras in the detecting mechanism; and processing the received images of the workpieces through the detecting and control systems in the detecting mechanism. The workpiece quality detecting method has the advantages that the multi-angle detecting and multi-view detecting in the workpiece quality detecting are achieved; the method is not only applied to detecting the quality of a common workpiece, but also meets the requirements on quality detecting of certain workpieces made of special materials and having relatively high overall dimension, thereby improving the working efficiency and the detecting precision on the workpiece quality detecting, and achieving wide application.