33results about How to "Identification helps" patented technology

The invention provides a secondary classification fusion identification method for fingerprint and finger vein bimodal identification. A fingerprint module and a vein module are used as primary classifiers, and a secondary decision module is used as a secondary classifier. The method comprises the following steps of: reading a fingerprint image and a vein image through the fingerprint module and the vein module; pre-processing the read images respectively and extracting characteristic point sets of the both; performing identification on the images respectively to obtain respective identification results, wherein the fingerprint identification adopts a detail point match-based method, and the vein identification uses an improved Hausdorff distance mode to perform identification; forming a new characteristic vector by using the extracted fingerprint and vein characteristic point sets in a characteristic series mode through the secondary decision module so as to form the secondary classifier and obtain an identification result; and finally, performing decision-level fusion on the three identification results. The method has the advantages of making full use of identification information of fingerprints and finger veins, and effectively improving the accuracy of an identification system, along with high identification rate.

The invention relates to a radiation scanning and detecting device for small and medium size vehicles. The radiation scanning and detecting device for the small and medium size vehicles comprises a door frame, a radiation source, a detector, a supporting platform, a conveyer support, a circulation drag unit, a vehicle wheel guide unit and a hanging bridge unit. The method of the radiation scanning and detecting device for the small and medium size vehicles has the advantages that a top illuminate radiation source U-type detector arrangement mode is adopted, the flattening radiation detection relative to the vehicles is achieved, and image quality is improved effectively; detectors with high sensitivity are adopted, image resolution can achieve the level of package detection, and a security check inspector can identify guns, knives, explosive assemblies and other forbidden objects conveniently; a double-energy detection technology is adopted to detect the material characteristics of the articles inside the vehicles, the fact that the security check inspector can identify flammable and combustible dangerous goods is facilitated; trundles and foot margins are designed and mounted on vehicle conveying devices and check channels, equipment is convenient to mount, debug and move, non-fixed type mounting with the ground is achieved, and the floor of a site cannot be damaged.

The invention relates to a method and device for enhancing anti-crawling system recognition performance and a storage medium, and the method comprises the steps: carrying out the recognition of current access data through an anti-crawling system established based on supervised learning, so as to obtain first crawler data and user data; Performing clustering analysis on the user data based on a clustering algorithm to obtain cluster data; And updating second crawler data to the training data of the anti-crawling system, so that the anti-crawling system carries out training according to the updated training data, and the second crawler data is obtained by manually labeling the cluster data. The technical problem that in the prior art, it is difficult for an anti-crawling system to effectively identify newly appearing crawlers is solved.

The invention provides an image recognition method and device, and electronic equipment, and relates to the technical field of image processing. The image recognition method comprises the steps: obtaining a to-be-recognized image; processing the to-be-identified image through a neural network model to obtain a feature map of the to-be-identified image; processing the feature map through a full connection layer to obtain a feature vector of the to-be-identified image; according to the feature vector of the to-be-identified image and the feature vector of the standard image of the first category, obtaining the similarity between the to-be-identified image and the standard image of the first category; and recognizing the to-be-recognized image according to the similarity between the to-be-recognized image and the standard image of the first category. According to the technical scheme provided by the embodiment of the invention, the to-be-recognized image can be recognized through the similarity between the to-be-recognized image and the standard image of the first category, and the accuracy of image recognition is improved.

The invention relates to a behavior recognition system and method based on skeleton data, and the system comprises a data collection unit, a server, a data transmission unit, and a display and early warning unit, and the data collection unit is used for collecting real-time video data; the server is used for processing the real-time video data, outputting behavior identification data and outputting an early warning instruction; the data transmission unit is used for transmitting the real-time video data, the behavior identification data and the early warning instruction; and the display earlywarning unit is used for displaying the behavior identification data and the early warning instruction and giving an alarm according to the early warning instruction. Compared with the prior art, according to the invention, the time-space diagram convolution is combined with the long-short period memory network; according to the invention, the monitoring camera is combined to realize the identification of the human body behaviors in the designated area, the identification speed is fast, and the identification accuracy is high.

The invention provides a refrigerator, a control method and a control device. The refrigerator comprises a door, an induction lamp, a photosensitive sensor, an infrared sensor, a switching button and a controller, wherein the induction lamp, the photosensitive sensor, the infrared sensor, the switching button and the controller are arranged on the door, the induction lamp, the photosensitive sensor, the infrared sensor and the switching button are all electrically connected with the controller, the photosensitive sensor is used for detecting the intensity of environmental illumination around the refrigerator, the infrared sensor is used for detecting the movement condition of a human around the refrigerator, the controller is used for sending a control command to the switching button according to at least one of the detection result of the photosensitive sensor, the detection result of the infrared sensor and the current time, and the switching button is used for switching control modes of the induction lamp according to the received control command so that the on-off state of the induction lamp can be controlled. By means of the technical scheme, the requirement of a user for flexibly adjusting the control modes can be met while cost is not increased, user experience is improved, and the cost performance of the induction lamp is improved.

The invention discloses a construction site access vehicle cleaning supervision method, relates to the technical field of vehicle cleaning supervision, and solves the problem that construction site vehicle cleaning supervision is difficult. Comprising the following steps: identifying that a vehicle enters a vehicle washing area through a monitoring camera, if the vehicle is identified, performing image capture, and otherwise, ending a supervision process; judging the direction of a vehicle head according to the captured image, entering the next step if the vehicle head faces the direction away from the construction site, and ending the supervision process if the vehicle head faces the direction entering the construction site; detecting whether the vehicle stays in a vehicle washing area and whether the vehicle washing area sprays a water column for washing, if yes, entering the next step, and if not, giving an alarm and ending the supervision process; capturing continuous frames, and calculating the time length T when the vehicle and the water column for cleaning appear at the same time in the vehicle cleaning area; and judging whether T is greater than a time threshold, if yes, not giving an alarm and ending the supervision process, and if not, giving an alarm and ending the supervision process. The method has the advantage of efficiently, accurately and automatically monitoring vehicle cleaning.

The invention provides a visual system and a visual method capable of recognizing multiple colors simultaneously. The visual system comprises a hardware portion and a software portion, wherein the hardware portion is formed by connecting an image photosensitive unit OV9650 with an embedded ARM processor LPC4350, the software portion engages in writing a bare computer program on the embedded ARM processor LPC4350 to achieve acquisition and processing and is capable of recognizing seven colors simultaneously and used for outputting central coordinates of the colors, and the maximum recognizing speed is 15 times/second. The visual system has the advantages of small size, low power consumption, low cost, high recognition speed, low development difficulty and the like.

The invention discloses a method using radio frequency identification to realize a consumable false proof effect; the method comprises the following steps: 1, using a label serial number and a consumables serial number to calculate a consumable characteristic code, and storing the consumables serial number and the characteristic code into an anti-tearing label; 2, mounting the anti-tearing label on the consumables; 3, reading the label serial number and the consumables serial number on the consumable label when the consumables is used; 4, calculating the consumables characteristic code according to the read label serial number and the consumables serial number; 5, comparing the calculated characteristic code with the characteristic code stored on the label, and determining the true and false of the consumables; if the characteristic codes are identical, the consumables is real; otherwise, the consumables is fake. The method uses the radio frequency identification to realize the consumable false proof effect, thus assisting equipment manufacturers to identify the true and false of consumables, preventing fake consumables from affecting the equipment usage effect, and ensuring the normal usage of the equipment.

The invention is suitable for the technical field of image recognition, and discloses a power equipment recognition method and device and terminal equipment. The electrical equipment identification method comprises the following steps: acquiring an electrical equipment image, preprocessing the electrical equipment image, and establishing an electrical equipment image data set; based on the power equipment image data set, training to obtain a power equipment identification model; and inputting the to-be-identified electrical equipment picture into the electrical equipment identification model to obtain an identification result of the electrical equipment. A power equipment image data set is preprocessed, the problem that the operation speed is low due to the fact that the size difference of power energy equipment is large is solved, a power equipment recognition model is established according to the power equipment image data set, the model is improved in the three aspects of feature extraction, feature fusion and feature matching, and the recognition accuracy is improved. While the model operation efficiency is improved, the identification precision of the power equipment is improved.