39results about How to "Avoid missed identification" patented technology

The embodiment of the invention provides a method for identifying a pseudo base station. The method for identifying the pseudo base station comprises the steps of determining a target base station based on base station switching information of a terminal and time information about message reception of the terminal; and performing pseudo base station identification processing for the target base station by utilizing at least one of contact person information of the terminal, pseudo base station information, lawful base station information and position information of the target base station so as to obtain an identification result. The embodiment of the invention also provides a device for identifying the pseudo base station. According to the technical scheme provided by the embodiment, the identification rate and the accuracy rate of the pseudo base station can be improved.

The invention relates to a method for detecting citrus fruits on a tree. The method comprises the steps that the local and global information entropies are combined to analyze the illumination distribution characteristic of an image, and a local block homomorphic filtering algorithm is used to process illumination unevenness of the image; an adaptive enhanced RG color difference method is used toimprove the contrast between a foreground target and the background; threshold segmentation and a mathematical morphology method are used to realize the binarization of an RG chromatic aberration diagram; for the problem of multi-fruit adhesion or mutual occlusion in an acquired binary image, marker-controlled watershed transformation is used to realize adhesion region segmentation; a convex hulltheory is used to solve the problem of region under-segmentation caused by occlusion to acquire an independent candidate citrus fruit region; the histogram description feature of the candidate citrusfruit region is extracted; and citruses are identified by a histogram cross-core support vector machine to complete fruit location. According to the technical scheme provided by the invention, the accuracy and reliability of the detection of the citrus fruits on the tree are improved.

The invention discloses a method for identifying honeycomb edges from honeycomb core surface measurement data. The method comprises the following steps: performing two-dimensional coordinate transformation on collected honeycomb core surface three-dimensional data, identifying corner points in a two-dimensional plane projection image of a honeycomb core through a corner point detection algorithm,wherein the corner points comprise a human-shaped vertex, a Y-shaped vertex, a pseudo vertex and unrecognized missing corner points; based on the proposed corner type judgment algorithm, sequentiallyidentifying two endpoints of the honeycomb edge, determining one endpoint during adjacent edge identification, and determining the other endpoint through local analysis of the identification vertex; and effectively eliminating pseudo vertexes in the implementation process of the honeycomb edge, supplementing missing vertexes, and achieving stable and high-precision honeycomb edge recognition. According to the method, the data processing problem of honeycomb core measurement is effectively solved, and the method is flexible, high in precision and good in robustness, and the measurement requirement of the honeycomb core surface after actual machining can be met.

The invention provides a double-detector micro near-infrared spectrometer with a whole spectral band of 800-2,500nm. The double-detector micro near-infrared spectrometer consists of a near-infrared light source, an entrance slit, a concave collimating lens, an MOEMS scanning raster micro-mirror, a concave imaging lens, an exit slit and mono-tube near-infrared double sensors different in response wavelength range. In the invention, the improved Czerny-Turner optical path system effectively inhibits aberration and guarantees the imaging quality of the system. By adopting the MOEMS scanning raster micro-mirror integrated with an angle sensor, the double-detector micro near-infrared spectrometer provided by the invention has scanning and light splitting functions in a broadband range and also can accurately control the scanning angle in real time to realize continuous and accurate detection of different wavelengths of the mono-tube near-infrared double sensors. The double-detector micro near-infrared spectrometer has the advantages of low price, small volume, fast response, high precision, wide detection spectral range and the like.

The invention provides a cooking control method for setting a cooking device having an HSV threshold database. The cooking control method includes: acquiring a dish image of the cooking device at a current cooking stage; converting the dish image into a corresponding image signal; dividing the image signal into a plurality of matrix regions, and extracting respective food material HSV values included in all the matrix regions; comparing the plurality of food material HSV values and a preset HSV threshold range in the HSV threshold database so as to recognize food materials included in dishes of the cooking device; and recommending a recipe to a user according to the food materials so as to control operation of the cooking device. Correspondingly, the invention also provides a cooking control device, a computer readable storage medium, and a cooking device. The technical scheme establishes the HSV threshold database in the cooking device locally, can allow the cooking device to automatically recognize different types of food materials in a non-network environment, can intelligently recommend a recipe to the user on the basis of the recognized food materials, and is easy and fast tooperate.

A camera module multi-identifier identification method and a piece of camera module multi-identifier identification equipment are disclosed. The method comprises the steps of shooting an image of multiple identifiers, positioning the location of each identifier in the image, and identifying each identifier according to the location of each identifier. The equipment comprises a camera device and a data processing device. The camera device is in communication with the data processing device. The camera device shoots an image of multiple identifiers, and the data processing device identifies the multiple identifiers through the image.

The invention relates to the air conditioning technology and provides an air conditioning system capable of intelligently recognizing the number of persons and an image processing method in order to solve the problem that an existing air conditioner is prone to fail to recognize some persons when the persons are too close. According to the technical scheme, the air conditioning system capable of intelligently recognizing the number of persons is composed of an image processing module and an infrared imaging module; the infrared imaging module is used for collecting temperature data and transmitting the temperature data to the image processing module; the image processing module is used for carrying out wavelet filtering on the received temperature data, and then carrying out human body information recognition on the data subjected to wavelet filtering, so that the number information is obtained. The air conditioning system capable of intelligently recognizing the number of persons and the image processing method have the beneficial effects that the recognition rate of an air conditioner is further increased and the image processing method is suitable for the air conditioning system.

The invention discloses an integrated banknote sorting machine, which comprises a shell, a banknote conveying and sorting device and banknote boxes, and is characterized in that a color sensor and a trigger lever are arranged at upper parts inside a banknote input port, the lower part of a fulcrum of the trigger lever is vertically arranged at the middle part in the banknote input port, and the top part of the trigger lever is provided with a trigger switch; a transversely arranged lead screw is supported in a rotary mode behind the trigger lever, one end of the lead screw is connected with a stepping motor in a transmission mode, and a mobile platform is connected on the lead screw through a screw thread; an upper group of banknote clamping rollers and a lower group of banknote clamping rollers are oppositely arranged on the mobile platform, shafts of the banknote clamping rollers are supported on the mobile platform in a rotary mode and are in transmission connection with a DC motor; the color sensor, the trigger switch, the DC motor and the stepping motor are connected with corresponding ends of a controller; and the mobile platform is provided with a limiting guide mechanism. The integrated banknote sorting machine is low in preparation cost, small in size, easy to operate, reliable in operation and high in sensitivity and accuracy.

The embodiment of the invention provides a multi-label classification method and system. The method comprises: obtaining all target objects in the image to be tested according to the image to be tested and the trained improved neural network, wherein, the improved neural network is obtained by combining the neural network and the attention mechanism. The embodiment of the invention provides a multi-label classification method, which combines an attention mechanism with a neural network to highlight the importance of each target object in an image to be measured, so that each target object canbe more accurately identified when the multi-target is extracted, and the problem of missing identification in the prior art is avoided.

The invention provides a batch workpiece airtightness detection method based on artificial intelligence. The method comprises: collecting an original image of the air tightness detection device, detecting pixels belonging to the workpiece in the original image, carrying out connected domain analysis, and obtaining an angular point sequence according to the distance between the convex hull point of the connected domain of the workpiece and the angular point of the minimum enclosing rectangle; acquiring a scanning image, and detecting positions of bubble pixels in the scanning image to obtain coordinates of a bubble center point; calculating the distance between the central point of the bubble and the central point of each circumscribed rectangle and obtaining the circumscribed rectangle corresponding to each bubble; obtaining a distance sequence according to the distance between the bubble center point and each corner point in the bounding rectangle distance sequence, and calculating the similarity of different distance sequences to obtain a bubble center point set; counting the number of bubble center points in the bubble center point set to obtain a high-frequency bubble center point set, and obtaining an external rectangular subarea corresponding to bubbles in the high-frequency bubble center point set.

The invention discloses a license plate recognition method and device. The method comprises the following steps: receiving a collected image sequence; performing vehicle detection on the image sequence to obtain a vehicle detection result and RE-ID features; performing vehicle tracking according to the vehicle detection result and the RE-ID features to obtain a tracking trajectory of the vehicle; performing license plate detection on the vehicle based on the tracking trajectory to obtain license plate characters; recognizing the license plate characters to obtain a current license plate recognition result of the vehicle; fusing the current license plate recognition result of the vehicle with the historical license plate recognition result of the vehicle to obtain a fusion result; judging whether the fusion result meets a set requirement or not; if yes, outputting the fusion result as a final license plate recognition result; otherwise, continuing to perform license plate detection and license plate recognition on the vehicle. According to the invention, the accuracy of the license plate recognition result can be improved.

The invention discloses a method and a device for identifying a copy user identity module card number, which are used for solving the problems that the scheme provided by the prior art for identifying the copy user identity module card number is bad in identifying timeliness, and may miss the copy user identity module card numbers. The method comprises the following steps of: acquiring an MO (Message Oriented) ticket corresponding to a to-be-identified user number, and acquiring an exchanger marker corresponding to the user number stored in a home location register corresponding to the user number; determining the exchanger marker contained in the MO ticket; comparing whether the acquired exchanger marker comprises the determined exchanger marker or not; and when the comparing result is NO, determining that the user number is the copy user identity module card number.

The invention discloses a character operating command identification method and device. The character operating command identification method comprises the following steps of: acquiring interactive data between a target client and a target server; simulating output content according to the interactive data, wherein the output content comprises content and a client state for displaying the interactive data, and the client state comprises a cursor position in the interactive data; and identifying the interactive data in the output content in the same row as the cursor position to be a character operating command. Since command identification is not performed according to a command prompt of character operation any longer in the embodiment, misjudgment is not caused by change of the command prompt like the prior art; since the cursor position is available during input of the character operating command by a user, identification omission of the character operating command can be effectively avoided through the technical scheme in the embodiment of the invention; and therefore, the identification rate of the character operating command is effectively increased.

The invention discloses a vehicle driving track recognition method and device and a storage medium, which are used for recognizing illegal driving behaviors of a vehicle. The vehicle driving track recognition method comprises the steps of detecting a target vehicle and when the target vehicle is detected, recording the center coordinate of a detection frame of the target vehicle; tracking the target vehicle, and recording the moving track of the center of the detection frame of the target vehicle; and judging the moving track, and if a judgment result is a preset track, sending an alarm signal. The invention further provides a vehicle driving track recognition device and the storage medium.

The embodiment of the invention discloses a session processing method and device. One specific embodiment of the method comprises the following steps: for a target user of a social platform, obtainingat least two session messages sent by the target user to each of at least one friend of the target user; combining the obtained session messages to obtain a combination result; and in response to detection of preset violation content in the combination result, determining the target user as a black product user. According to the scheme provided by the embodiment of the invention, the black product user can be more effectively determined in the accurate and large information amount by combining the plurality of session messages sent by each friend, so that the accuracy and recall rate of determining the black product user are improved, and the missing identification of the black product user is avoided.

The invention provides an information processing method, an information processing device, a storage medium and electronic equipment, and relates to the technical field of computers. The information processing method comprises the steps of obtaining semantic information associated with a non-deterministic event; obtaining a matching rule of the non-deterministic event according to the semantic information; If an event is received, identifying the event through a matching rule of the non-deterministic event to determine whether the event is the non-deterministic event. According to the technical scheme, the non-deterministic event can be recognized in time, delay is avoided, and the recognition efficiency is improved.

The present invention relates to a foreign matter image recognition system and management system for kitchen waste. The foreign matter image recognition system includes: a waste conveying slope used to connect the dumping port of the garbage truck and the waste in the garbage bin when the garbage truck dumps the kitchen waste. The entrance is used for the food waste in the garbage truck to flow into the garbage bin along the garbage conveying slope; the image acquisition unit is used to collect the garbage image information of the food waste on the garbage conveying slope; the foreign object identification unit is used to The garbage image information of the kitchen waste is recognized to obtain the foreign matter in the kitchen waste, and the corresponding foreign matter recognition result information is output. The invention also discloses a food waste management system based on foreign matter identification. The foreign matter image recognition system and management system in the present invention can be adapted to the collection and transportation of food waste and can identify a variety of foreign matter, thereby improving the recovery quality of food waste and reducing the management cost of food waste.

The embodiment of the invention provides a target detection method and device, NVR equipment and a security check system. The method comprises: acquiring a to-be-detected image collected by a securitycheck instrument; and identifying a target in the to-be-detected image, and determining the type of the target. By means of the technical scheme, it is unnecessary to depend on manpower to conduct target detection of a specified category on the to-be-detected image, the situation of missed recognition caused by fatigue can be avoided, and therefore the recognition precision can be improved.

The invention relates to a touch recognition method and device for a touch key, a vehicle, equipment and a medium. The method comprises the steps of: obtaining a sampling output signal based on an output electric signal of a capacitive touch key; calculating the cumulative increment of the rising time period in the sampling output signal; acquiring the duration time value of the accumulated increment belonging to a preset first threshold range; when the duration value is greater than or equal to a preset second threshold value, judging that a touch signal exists; determining the maximum valueof the accumulated increment as an attenuation recognition threshold value; and using the processor for receiving the sampled output signal, calculating the accumulated reduction amount of a descending time period in the sampled output signal, and confirming that the touch is ended when the accumulated reduction amount belongs to a third threshold range determined based on the attenuation recognition threshold, wherein the maximum value of the third threshold range is smaller than the attenuation recognition threshold. According to the invention, by recognizing the rising trend segment of thepulse signal caused by finger touch, the touch signal applied to the capacitive touch key by the user can be effectively recognized, and omission recognition, false recognition and / or false triggeringof the touch signal are / is avoided.

The invention discloses a transmission conductor broken strand and breakpoint identification method and device and a storage medium, and the method comprises the steps: obtaining a plurality of breakpoint images in a multi-strand broken strand conductor database, and enabling the plurality of breakpoint images to be divided into a training set and a test set; constructing a multi-strand broken conductor breakpoint positioning network, and repeatedly training the training set through the multi-strand broken conductor breakpoint positioning network to obtain a preliminary neural network model; verifying the precision of the preliminary neural network model by using the test set, and if the precision of the preliminary neural network model meets the requirement, generating a multi-strand broken conductor breakpoint positioning model; and acquiring a to-be-identified multi-strand broken conductor image, and identifying the to-be-identified multi-strand broken conductor image by using the multi-strand broken conductor breakpoint positioning model to obtain the position of a breakpoint in the multi-strand broken conductor image. According to the invention, the technical problem of inconvenient breakpoint identification of a multi-strand broken conductor at present is solved.

The embodiment of the invention provides a data transmission method and device, electronic equipment and a machine readable storage medium, a receiving end receives a transmission signal sent by a sending end, detects a start bit, each data bit and a stop bit of the transmission signal according to the level state of each bit of the transmission signal, counts the data bit duration of each data bit, and sends the data bit duration to the sending end; the numerical value corresponding to each data bit is recognized based on the corresponding relationship between the preset data bit duration and the numerical value, and the data consisting of the numerical values corresponding to each data bit is determined to be received based on the numerical value corresponding to each data bit between the start bit and the stop bit. The level states of every two adjacent bits of the transmission signal are different, the data bits of the transmission signal are detected based on the level states, the numerical values of the data bits are recognized based on the preset corresponding relation between the data bit duration and the numerical values, it can be guaranteed that the data bits of the transmission signal are accurately detected, and the data transmission efficiency is improved. The specific numerical value of each data bit can be accurately recognized, and a receiving end can receive accurate data.

The invention discloses a character operating command identification method and device. The character operating command identification method comprises the following steps of: acquiring interactive data between a target client and a target server; simulating output content according to the interactive data, wherein the output content comprises content and a client state for displaying the interactive data, and the client state comprises a cursor position in the interactive data; and identifying the interactive data in the output content in the same row as the cursor position to be a character operating command. Since command identification is not performed according to a command prompt of character operation any longer in the embodiment, misjudgment is not caused by change of the command prompt like the prior art; since the cursor position is available during input of the character operating command by a user, identification omission of the character operating command can be effectively avoided through the technical scheme in the embodiment of the invention; and therefore, the identification rate of the character operating command is effectively increased.

The invention discloses a vehicle information identification method and device based on artificial intelligence anti-interference, relates to the technical field of artificial intelligence, and mainly aims to extract the identification accuracy of a vehicle. The method comprises the following steps: extracting a candidate area of a suspected vehicle from a video monitoring image based on a preset extraction standard; if the candidate area is not extracted, inputting the video monitoring image into a pre-trained artificial intelligence recognition model to recognize whether the candidate area exists in the video monitoring image or not, wherein the artificial intelligence recognition model is trained according to a sample vehicle image library carrying interference information and a neural network model; if the candidate region exists in the video monitoring image, performing adaptive adjustment on a preset extraction standard, and extracting the candidate region from the video monitoring image for the second time based on the adjusted extraction standard; and identifying whether the candidate area obtained by the secondary extraction is a vehicle or not by utilizing a preset vehicle identification template. The method is suitable for vehicle information identification based on artificial intelligence anti-interference.

The invention discloses an abnormal account identification method and device, equipment and a medium. The abnormal account identification method comprises the following steps: acquiring resource transfer data, the resource transfer data comprising a first service account, at least one user account performing resource transfer with the first service account, and a second service account performing resource transfer with each user account in the at least one user account; based on the resource transfer data, respectively determining a first target feature of a target user account in the at least one user account and a second target feature of a combined service account, wherein the combined service account is an account combined by at least two target service accounts in the first service account. And determining an abnormal service account in the target service account and an abnormal user account in the target user account according to the first target feature and the second target feature. According to the embodiment of the invention, the account which abnormally uses the digital resource in the network space can be effectively identified so as to maintain the rationality of resource transfer.

The invention discloses a sign language interaction method, system and device and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: establishing a gesture semantic database; obtaining user gesture information, and segmenting and intercepting the user gesture information to obtain a plurality of gestures; making the gestures matched with gesture data in the gesture semantic database, and outputting semantic information corresponding to the gestures in sequence; performing semantic integration on the semantic information corresponding to each gesture to generate target gesture semantic information; acquiring and recognizing user voice information, and generating voice semantic recognition information; matching the voice semantic recognition information with semantic data in the gesture semantic database to obtain corresponding target gesture information; and according to the target gesture semantic information and the target gesture information, generating and sending corresponding interaction information to a corresponding user to complete interaction. According to the method, each gesture is independently recognized, so that the recognition accuracy is ensured, and the interaction effect is improved.

The invention provides a drawing recognition recommendation method and system based on data analysis, and the method comprises the steps: obtaining a to-be-recognized drawing and a recognition demand,determining a to-be-recognized object on the to-be-recognized drawing, and obtaining the design parameter information corresponding to the to-be-recognized object; obtaining an input format requirement corresponding to the identification object, and determining to-be-input parameters and an input sequence of the to-be-input parameters according to the input format requirement; determining a recommendation parameter corresponding to the current to-be-input parameter according to the input sequence and the position relationship of the design parameter information; and in response to the recommendation parameter selection operation, determining the recommendation parameter as an input parameter corresponding to the current to-be-input parameter until all the to-be-input parameters are input.By determining the to-be-identified object on the to-be-identified drawing, the recommendation parameter corresponding to the current to-be-input parameter is determined from the design parameter information, so that the manual identification efficiency of the user is improved; verification is completed in the process of user selection, so that the operation is simpler and more convenient, and the drawing recognition efficiency is improved.

The invention provides a pulse recognition method and device, a storage medium, equipment and a blood cell analyzer. The pulse identification method comprises the following steps: acquiring a detection signal in a forward scattering direction and preliminarily identifying a pulse; determining whether there is a sidelobe pulse in the adjacent pulses based on whether the peak value time difference of the adjacent pulses, the amplitude difference between the peak value of the previous pulse and the end point or the amplitude difference between the peak value of the current pulse and the starting point, and the amplitude of the end point of the previous pulse satisfy a first preset condition; under the condition that the sidelobe pulses exist in the adjacent pulses, the sidelobe pulses are removed from the preliminarily recognized pulses, and a first pulse sequence is obtained. According to the invention, the influence of optical sidelobe on platelet counting can be removed from the pulse identification stage, and the cost does not need to be increased.