62results about How to "Meet identification needs" patented technology

The invention discloses a water gauge image water level automatic reading method based on a Mask RCNN algorithm in the technical field of water conservancy informatization water level automatic measuring and reporting, and the method comprises the following steps: (1), installing a camera and a water gauge, recording and confirming four corner point coordinates of each preset point of a dome camera after water gauge imaging, and setting the four corner point coordinates as preset point parameters; (2) acquiring water gauge images of different cameras and correcting the water gauge images in batches; (3) marking a water gauge detection frame for the corrected image, and constructing a training set; (4) obtaining the optimal anchor frame size anchors, adjusting the learning rate and the number of iterations, and starting to train, verify and test the Mask RCNN model to obtain a final model parameter file; (5) deploying a model parameter file trained in the step (4), correcting a picture collected in real time, and predicting a detection box and a segmentation mask; and (6) calculating the water level in combination with the coordinates of the preset point in the step (1); the method can adapt to water gauge image water level automatic reading in a complex environment, and has the advantages of being high in recognition accuracy, wide in application range, high in intelligent degree and the like.

The invention discloses a thermal infrared face recognition method and system. The method comprises the steps of determining a thermal infrared image of a to-be-recognized face; inputting the thermalinfrared image of the to-be-recognized face into a trained three-function component extractor, positioning eyes, a nose and a mouth of the face in the image, and performing region positioning on the left eye, the right eye, the nose and the mouth to form a corresponding key area group; according to the difference between the key area group of the standard face and the key area group of the to-be-recognized face, affine transformation is carried out on the thermal infrared image of the to-be-recognized face, acquiring a thermal infrared image after face alignment calibration; inputting the thermal infrared image after face alignment calibration into a trained face feature extractor, and extracting corresponding face features; and inputting the extracted face features into a trained classifier, and identifying information of a person to which the classifier belongs. According to the invention, the human face can be recognized under the condition of no light source, and the recognition rate is high.

The invention relates to the technical field of computer application, in particular to an image-based Chinese character recognition method. The method comprises the following steps of: obtaining an image to be recognized; 2, preprocessing the acquired image; 3, progressively recognizing the character carrier in the image, scanning the next line of characters sequentially after the line of characters is scanned, and obtaining the outline of the character carrier; 4, matching that outline of the carrier with the standard outline in the database, and convert the matched character information intocharacters corresponding to the character information; 5, recording that position information of the character; 6, carrying out panel analysis according to that position of each character to obtain sentence structure distribution; 7, correcting that distribution of the sentence structure to obtain a corrected recognition result to determine the semantics of the image; Step 8, deriving the corrected recognition result. The precision of image character recognition is improved.

The embodiment of the invention provides a recognition method and device for a secure file. The recognition method comprises the steps that firstly, a known secure file matched with a file to be recognized is obtained according to the file to be recognized; secondly, the similarity of the file to be recognized and the known secure file is obtained; thirdly, whether the file to be recognized is the secure file is recognized according to the similarity of the file to be recognized and the known secure file. Accordingly, the recognition method and device for the secure file are used for solving the problem that in the prior art, the recognition rate of the secure file is low.

The invention relates to a hydroelectric industry digital object identifier processing method, device and system. The method comprises the following steps: receiving an identifier generation request;when the identifier generation request contains the domain code, determining a newly added meta-class sequence number of the domain code, and allocating a meta-class identifier to the hydropower industry digital object according to the newly added meta-class sequence number; when the identifier generation request contains a meta-class identifier, determining a newly added class sequence number ofthe meta-class identifier, and allocating a class identifier according to the newly added class sequence number; when the identifier generation request contains a class identifier, determining a newlyadded instance sequence number of the class identifier, and allocating an instance identifier according to the newly added instance sequence number; and returning at least one of the meta-class identifier, the class identifier and the instance identifier to the user terminal. By adopting the method, the identification requirement of the hydropower industry field on the digital object can be met.

The invention provides a face depth image quality evaluation method and system, an electronic device and a storage medium, and the method comprises the steps: obtaining three-dimensional face recognition image data based on an input target image, and the three-dimensional face recognition image data comprises aligned face depth images and corresponding identity category information; inputting the aligned face depth image and the corresponding identity category information into a face depth image quality evaluation model to generate a corresponding face depth image quality score; wherein the face depth image quality evaluation model is obtained by training based on face depth image sample data and a predetermined face depth image real quality score label. According to the invention, end-to-end face depth image quality evaluation is realized, and the face depth image quality is comprehensively evaluated; the three-dimensional face recognition image is screened through the face depth image quality result, it is ensured that the face depth image quality meets the three-dimensional face recognition requirement, and therefore the improvement of the three-dimensional face recognition performance is promoted.

The invention relates to an automatic identification adapter for an ATE automatic test system and an identification method of the automatic identification adapter. The automatic identification adaptercomprises a processing module, and a cable resistance identification module, a state indication module and a power supply control module which are respectively connected with the processing module, wherein the processing module is used for receiving the ID number of the adapter and then comparing the ID number with the solidified ID number of the adapter so as to judge whether the model of the adapter is matched or not and give a judgment result. According to the adapter for safe connection and reliable test of the ATE test system and the tested product, on one hand, faults of the tested product caused by wrong connection of the adapter and a cable are avoided, and the effect of safety protection of the tested product is achieved; measurement and identification are carried out through theprocessing module, testing of ATE hardware resources is replaced, and occupation of equipment resources is reduced. In addition, the processing module can meet the recognition requirements of variousATE test systems by changing the ID number and the cable resistance value in the solidification program of the recognition module, and has certain universality.

The invention discloses a material identification code scanning method, device and system. The method comprises the steps: receiving the current position information of a material identification code generated by a first image obtaining device; determining the target position information of a second image obtaining device according to the current position information; driving the second image obtaining device to move to a position indicated by the target position information, wherein the second image obtaining device scans the information of the material identification code when the material identification code moves into a view field of the second image obtaining device; and receiving the information of the material identification code returned by the second image obtaining device. The invention solves a technical problem of poorer adaptability caused by that an array camera technology is employed in the prior art.

The invention provides a method and device for recognizing image characters. The method includes the steps of S1, obtaining a character area in an image to be recognized, S2, carrying out recognition on various character blocks in the character area respectively, and recording position information of the character blocks, S3, based on the position information of the character blocks, carrying out layout analysis to obtain statement structure distribution, and S4, based on the statement structure distribution, carrying out correction based on semantic analysis on recognition results of the character blocks to obtain the corrected recognition results. According to the method and device, semantic information among the characters is effectively used for correcting the recognition results of the character blocks, the image character recognition accuracy is improved, and the recognition requirements of users are better met.

The invention discloses a method, device, server and storage medium for identifying spam, and belongs to the field of network technology. The method includes: when an email is received, extracting the email features of the email, the email features at least including the text features of the email; according to the receiving address of the email, calling the identification model corresponding to the receiving address, and the identification model is used to The mail characteristics of multiple historical emails of the receiving address are used to identify whether the email is spam; the mail characteristics of the email are input into the recognition model for recognition, and the recognition result of the email is output. In the present invention, by inputting mail features into the identification model of the receiving address, since the identification model can identify spam according to the actual receiving situation of the recipient user, the accuracy of spam identification for each receiving address is improved. Rate.