67 results about "Sign detection" patented technology

The invention relates to the technical field of physical sign detection, and discloses a far infrared radar non-contact physical sign detection method and device, and the method comprises the steps: collecting radar echo data and body temperature data of a plurality of target objects in a detection region through a far infrared sensor and a millimeter wave radar; carrying out heartbeat and respiration signal analysis on the radar echo data to generate a first heartbeat parameter and a first respiration parameter, and carrying out body temperature distribution analysis on the body temperature data to generate a body temperature distribution parameter; calculating a second heartbeat parameter and a second breathing parameter of each target object based on the first heartbeat parameter and the first breathing parameter; according to the second heartbeat parameter, the second breathing parameter and the body temperature distribution parameter, a physical sign detection result of each target object is generated, the abnormal heartbeat, breathing and body temperature states can be automatically recognized, a comprehensive health assessment result is generated, and the accuracy of non-contact physical sign detection is improved.

The invention discloses a speed limit sign detection and identification method based on YOLO and PPOCR. The method comprises the following steps: capturing a traffic scene image; adjusting the size of the original image, and scaling the image to a set resolution by adopting a nearest neighbor interpolation algorithm; the adjusted image with the set resolution is input into an improved YOLO model for speed limit sign detection, and detection frame position information of the speed limit sign is obtained; cutting the original image according to the detection frame information; carrying out image preprocessing on the cut image; adjusting the size of the preprocessed image, and scaling the image to a set resolution by adopting a nearest neighbor interpolation algorithm; and carrying out digital identification on the image with the adjusted size by using the improved PPOCR model. According to the method, the precision and adaptability of speed limit sign detection and recognition are remarkably improved, efficient and accurate detection and recognition of the speed limit sign and the speed limit value of the speed limit sign are achieved, and the method has wide application prospects.

The technology provides a sign detection and classification methodology. A unified pipeline approach incorporates generic sign detection with a robust parallel classification strategy. Sensor information such as camera imagery and lidar depth, intensity and height (elevation) information are applied to a sign detector module. This enables the system to detect the presence of a sign in a vehicle's external environment. A modular classification approach is applied to the detected sign. This includes selective application of one or more trained machine learning classifiers, as well as a text and symbol detector. Annotations help to tie the classification information together and to address any conflicts with different outputs from different classifiers. Identification of where the sign is in the vehicle's surrounding environment can provide contextual details. Identified signage can be associated with other objects in the vehicle's driving environment, which can be used to aid the vehicle in autonomous driving.

The invention provides a physiological sign detection device. The physiological sign detection device comprises a lower shell, a base, a support, a first elastic piece, a sensor assembly, an upper shell and a blocking piece. The lower shell comprises a top wall and a side wall. The base is installed on the inner side of the lower shell and slidably connected with the side wall of the lower shell. The base comprises an abutting end. The support is installed on the inner side of the base and slidably connected with the base. And the first elastic piece is connected between the top wall of the lower shell and the bracket. The sensor assembly is fixed to the support and located on the side, away from the top wall of the lower shell, of the support, and the sensor assembly comprises a sensor and a puncture needle. The upper shell is detachably fixed to the end, away from the top wall of the shell, of the side wall of the lower shell, and the upper shell covers the opening. When the physiological sign detection device is in an unused state, the blocking piece is used for blocking the base from moving in the axial direction of the physiological sign detection device relative to the lower shell. The physiological sign detection device has an anti-falling false triggering function, and the user experience is better.

The present application relates to a control system. A control section, after a stop advance sign section is detected by a sign detection section, in a case where a stop position sign section is detected by the sign detection section, executes travel stop processing that causes travel of a traveling section to stop, and after travel of the traveling section caused by the travel stop processing is stopped, executes transfer processing that causes a transfer section to perform transfer of an article. The control section, in a case where the stop position sign section is detected by the sign detection section, although a travel distance from a position where the stop advance sign section is detected by the sign detection section is below a determination distance that is set to be less than an advance distance, after travel of the traveling section caused by the travel stop processing is stopped, instead of the transfer processing, executes abnormality notification processing that notifies an upper control unit of an abnormality occurrence.

The present application provides a physiological sign detection apparatus. The physiological sign detection apparatus comprises a lower housing, a base, a support, a first elastic member, a sensor assembly, an upper housing, and a blocking member. The lower housing comprises a top wall and a side wall. The base is mounted on an inner side of the lower housing and slidably connected to the side wall of the lower housing, and the base comprises an abutting end. The support is mounted on an inner side of the base and slidably connected to the base. The first elastic member is connected between the top wall of the lower housing and the support. The sensor assembly is fixed to the support and located on a side of the support facing away from the top wall of the lower housing, and the sensor assembly comprises a sensor and a puncture needle. The upper housing is detachably fixed to one end of the side wall of the lower housing facing away from the top wall of the housing, and the upper housing covers an opening. When the physiological sign detection apparatus is in an unused state, the blocking member is used for blocking the base from moving relative to the lower housing along the axial direction of the physiological sign detection apparatus. The physiological sign detection apparatus has an anti-drop false triggering function, providing a better user experience.

The application discloses a kind of sign detection method, device, nonvolatile storage medium and computer equipment.Therein, the method includes: obtaining historical frame, target frame and the motion information of vehicle, wherein historical frame and target frame are the image obtained by the camera of vehicle shooting;According to motion information and historical frame in historical detection frame, determine target area, wherein historical detection frame is used to mark traffic sign in historical frame;According to target area and target frame, generate target detection frame, wherein target detection frame is used to mark target traffic sign in target area in target frame.The application solves the technical problem that a large amount of computing power is required to identify traffic sign from video images in real time while driving.

The invention discloses a ground identification detection method and a vehicle, and belongs to the technical field of target detection. Comprising the following steps: respectively carrying out feature extraction on M target images to obtain P feature maps; based on the P feature maps and the calibration parameters of the M cameras, P target offset parameters are determined, and the P target offset parameters are used for representing possible position offset of each pixel point on each feature map; determining target aerial view features based on the P feature maps, the P target offset parameters and the plurality of first projection points; and performing ground identification detection based on the target aerial view features to obtain ground identification information of the current driving road. According to the method and the device, the position offset possibly existing in each position on each feature map can be considered in the process of converting the P feature maps into the aerial view space, so that the more accurate target aerial view features can be obtained, the more accurate aerial view features can be obtained, and the more accurate ground identifier can be detected.

In one example, a method is described. The method includes receiving a wireless signal from a remote control device; determining that the wireless signal comprises a command sent from the remote control device to a media presentation device, where the media presentation device is configured to provide streaming media to a media output device for presentation in a monitored environment, and where the computing device, the remote control device, the media presentation device, and the media output device are located within the monitored environment; based on the determination that the wireless signal comprises the command sent from the remote control device to the media presentation device, controlling the media output device to capture an image of the streaming media and transmit the image to the computing device; and based on the image, determining source information identifying a streaming service provider as a source of the streaming media.

In various examples, lanes may be grouped and a sign may be assigned to a lane in a group, then propagated to another lane in the group to associate semantic meaning corresponding to the sign with the lanes. The sign may be assigned to the most similar lane as quantified by a matching score subject to the lane meeting any hard constraints. Propagation of an assignment of the sign to a different lane may be based on lane attributes and / or sign attributes. Lane attributes may be evaluated and assignments of signs may occur for a lane as a whole, and / or for particular segments of a lane (e.g., of multiple segments perceived by the system). A sign may be a compound sign that is identified as individual signs, which are associated with one another. Attributes of the compound sign may provide semantic meaning used to operate a machine.

A Life Sign Detection system (LDS) monitors one or more environments using radar. The radar signals are processed to generate one or more point clouds, each associated with an organism in the environment(s). Life signs for the organisms(s) are inferred based on the radar point clouds. For example, the coordinates of the point cloud may be tracked to determine if the organism is moving about the environment, frequency domain components of the points of the point cloud may be used to determine involuntary movements, or combinations thereof. The LDS may determine a status of the organism(s) based on the inferred life signs. For example, if the organism is moving or has involuntary movement, the organism may be determined to be alive. In some embodiments, the life signs may be compared to normal ranges to determine a status of the organism(s).

In predictive maintenance performed by analyzing observation data that is time-series data acquired from a plurality of sensors, it is possible to detect a sign of occurrence of an abnormality by invariant analysis not only when a relationship between sensors shows linearity but also when the relationship shows nonlinearity.SOLUTION: The abnormality predictor detection system and the like acquire observation data of each of a plurality of sensors, select, for each of the plurality of sensors, a pair having the strongest causal relationship based on the observation data of each of the plurality of sensors among pairs obtained by combining each of the plurality of sensors with another sensor, generate, for each of the pairs selected for each of the plurality of sensors, a covariant relationship model indicating a relationship between a pair of sensors constituting the pair and evaluating collapse of the relationship from a normal state, and detect collapse of the relationship in a normal state between the pair of sensors constituting the pair based on the covariant relationship model.SELECTED DRAWING: Figure 7

In various examples, lanes may be grouped and a sign may be assigned to a lane in a group, then propagated to another lane in the group to associate semantic meaning corresponding to the sign with the lanes. The sign may be assigned to the most similar lane as quantified by a matching score subject to the lane meeting any hard constraints. Propagation of an assignment of the sign to a different lane may be based on lane attributes and / or sign attributes. Lane attributes may be evaluated and assignments of signs may occur for a lane as a whole, and / or for particular segments of a lane (e.g., of multiple segments perceived by the system). A sign may be a compound sign that is identified as individual signs, which are associated with one another. Attributes of the compound sign may provide semantic meaning used to operate a machine.

The application discloses a kind of automobile sign detection method, device, terminal equipment and storage medium, method includes: based on the image of the automobile to be detected, at least one sign label area in the image of the automobile to be detected is carried out coordinate normalization processing, obtains at least one first sign label area;According to the coordinate data of at least one first sign label area, the first sign label area is classified, and at least one second sign label area is obtained;The image corresponding to each second sign label area is input into sign identification model to carry out sign identification, and the sign identification information corresponding to each second sign label area is obtained;Based on the vehicle model number of the automobile to be detected and the preset area number corresponding to each second sign label area, the vehicle model number, the preset area number, the sign identification information are compared with sign contrast table, and the automobile sign detection result is obtained.The present application can detect that sign is pasted wrong area and sign is pasted wrong vehicle and so on sign mispasting condition.

A BRDC sign detecting system includes: a processor, and a memory storing program instructions that cause the processor to obtain, with respect to a bovine developing bovine respiratory disease complex (BRDC) within a time period required for a fattening process, data indicating a condition of the bovine during a predetermined time period in which the bovine did not yet develop the BRDC, and obtain data indicating a condition, during a predetermined time period, of a bovine that has not developed BRDC perform machine learning with respect to a correspondence relation between the obtained data indicating the condition during the predetermined time period and information indicating whether BRDC is developed, and infer, by inputting data indicating a condition of a new bovine during the predetermined time period into a learned model generated by performing the machine learning, information indicating whether the new bovine will develop BRDC and output an inference result.

The application provides a multi-degree-of-freedom animal centrifuge, an automatic anti-G regulation and a sign detection protection method, which comprises a base, a driving motor, a rotating main shaft, a centrifugal arm, a centrifugal cylinder, a posture adjusting structure and a self-adapting conforming and damping binding device; the centrifugal cylinder is fixed on the centrifugal arm through the posture adjusting structure; after a test animal is wrapped by the self-adapting conforming and damping binding device, the test animal is installed in the centrifugal cylinder, the inside of the self-adapting conforming and damping binding device is in contact with the test animal, and the outside of the self-adapting conforming and damping binding device is in contact with the inner wall of the centrifugal cylinder. The test animal is wrapped by the self-adapting conforming and damping binding device and then is put into the centrifugal cylinder, so that the animal is difficult to struggle, and even if the animal struggles during the test, the self-adapting conforming and damping binding device can reduce the impact and vibration generated by the animal due to the struggle.

In a sign detection system, a battery data acquisition unit acquires battery data including current data obtained by periodically measuring a current flowing through a battery pack. When the current data in a period of charging the battery pack by a charger include a section temporarily having a current value of zero, a determination unit determines that the occurrence of the section having the current value of zero is a sign of unavailability of the battery pack.

The present invention acquires measurement values of the charge capacity and voltage of a power storage element when the power storage element has been charged from the discharge end state, derives, when the rate at which the voltage changes in accordance with changes in the charge capacity is defined as dV / dQ, the charge capacity dependency of dV / dQ on the basis of the acquired measurement values, identifies, on the basis of the derivation result, the peak position of a peak appearing on a characteristic curve indicating the charge capacity dependence of dV / dQ, and detects, on the basis of the identified peak position, a sign of sudden deterioration of the power storage element.

This invention discloses a method and device for detecting and classifying MRI signs of placenta accreta based on a deep neural network. The method comprises an MRI image preprocessing module and an MRI placenta accreta sign region detection and classification module. The MRI placenta accreta sign region detection and classification module comprises a feature extraction module, a sign region generation module, a false-positive region reduction module, and a mask generation module. A deep neural network-based model for detecting and classifying MRI sign regions of placenta accreta is constructed. Based on medical MRI image data, the model uses a small amount of annotation information and data processing as input. The model output contains a three-dimensional bounding box containing the sign region and the category to which the sign belongs. This model can be used to detect and classify MRI sign regions of placenta accreta. The invention is scalable, supporting the modification of sign types and the processing and classification of a wide range of three-dimensional data types.

To provide an abnormality sign detection technology which suppresses erroneous detection to improve the reliability of an abnormality sign detection function.SOLUTION: A computer 5 is configured to: select a reference process value 31 as reference for calibration; calculate, based on an actual process value 30 and the reference process value 31, a calibration necessity determination coefficient 32 for determining whether or not the actual process value 30 correlates with the reference process value 31; calculate, based on the actual process value 30 and the reference process value 31, a calibration value 34 for calibrating the actual process value 30; determine, based on the calibration necessity determination coefficient 32, whether or not each actual process value 30 correlates with the reference process value 31; calibrate the actual process value 30, which has been determined to correlate with the reference process value 31, with the calibration value 34; generate learning input data including a calibrated process value 35 obtained through the calibration with the calibration value 34; and input the learning input data into an abnormality sign detection model to perform machine learning.SELECTED DRAWING: Figure 2

The invention discloses an erect position X-ray pneumoperitoneum feature detection method based on deep learning, and is applied to the technical field of pneumoperitoneum detection. Comprising the following steps: collecting standing X-ray pneumoperitoneum case images, and classifying and labeling the images with pneumoperitoneum features; an end-to-end training process is adopted to train a multi-pneumoperitoneum feature detection model based on YOLOv11; obtaining to-be-detected upright chest and abdomen X-ray plain film images, and preprocessing the upright chest and abdomen X-ray plain film images; and inputting the preprocessed image into a multi-pneumoperitoneum feature detection model, and outputting a pneumoperitoneum feature detection result. According to the method, the pneumoperitoneum sign on the vertical X-ray film is detected, missed diagnosis caused by subjective and objective factors such as insufficient experience or insufficient energy and various work of imaging department doctors or clinical doctors is reduced, the suspected pneumoperitoneum sign can be positioned, and review of the imaging department doctors or the clinical doctors is facilitated.

In this robot malfunction sign detection device, a behavioral time series data acquisition unit performs a process for acquiring behavioral time series data about a motor of a joint of the robot, from a robot motion, every data collection unit period. An evaluation value calculation unit calculates an evaluation value for the behavioral time series data. A representative evaluation value generation unit generates a representative evaluation value representing the evaluation value every data collection unit period. A sequence processing unit generates a sequence composed of representative evaluation values. A determination unit creates a determination model on the basis of an initial sequence, at an initial stage of operation of the robot. The determination unit, after the initial stage of operation, inputs determination data including data based on a robot motion after the initial stage of operation into the determination model to acquire the specificity of the determination data.

Embodiments of the present application provide a pixel circuit with a vital sign detection function and a display panel, wherein the pixel circuit is electrically connected with a light sensing unit and a light emitting unit, the pixel circuit comprises a light emitting collecting module, a composite function module and an energy storage transistor, the composite function module comprises a first transistor, a source side of the first transistor is electrically connected with the light emitting unit, and the source side or a drain side of the first transistor is electrically connected with the light sensing unit, the light sensing unit is used for generating a detection electrical signal according to a reflected light signal in a reverse bias state; wherein the composite function module has a signal integrated transmission end, and the signal integrated transmission end is used for outputting the detection electrical signal. According to the technology of the present application, the pixel circuit can simultaneously have the functions of driving a display pixel unit to display and emit light and driving a detection pixel unit to detect vital signs, which is beneficial to improving the display resolution and also reduces the manufacturing cost of the display panel.

The present invention detects an anomaly perceived by an equipment inspector, and detects signs of the perceived anomaly before an abnormality actually occurs. Provided is an abnormality sign detection system that detects signs of abnormalities in to-be-inspected equipment, and that includes a server and a terminal device which is capable of communicating with the server. The server includes: a storage unit that records an action table including a standard inspection action table; a terminal operation detection unit that detects an operation of the terminal device and converts the operation into an inspection action performed on the terminal device; a degree-of-deviation detection unit that, on the basis of the action table, calculates the degree of deviation between the inspection action performed on the terminal device and a standard inspection action; and a degree-of-deviation output unit that, if the total sum of the degrees of deviation is equal to or greater than a threshold, outputs a signal corresponding to "a present sign of abnormality". Said system detects a perceived anomaly even if an inspector does not report the perceived anomaly.

The application relates to the technical field of road detection, and particularly discloses a road sign change detection method and system, an electronic device and a storage medium, the method comprising the following steps: acquiring images containing a target road region collected at different time points; and determining whether the road sign in each preset local region of the target road region in any two images changes by using a road sign detection model. The application can detect the change of the road sign in real time, avoids the safety hazards caused by the inconsistency between the vehicle navigation and the actual route, and improves the vehicle passing efficiency.

The application relates to the technical field of sign detection, and discloses a far-infrared radar non-contact sign detection method and device, which comprises the following steps: collecting radar echo data and body temperature data of multiple target objects in a detection area through a far-infrared sensor and a millimeter wave radar; performing heartbeat and respiration signal analysis on the radar echo data to generate first heartbeat parameters and first respiration parameters, and simultaneously performing body temperature distribution analysis on the body temperature data to generate body temperature distribution parameters; calculating second heartbeat parameters and second respiration parameters of each target object based on the first heartbeat parameters and the first respiration parameters; and generating a sign detection result of each target object according to the second heartbeat parameters, the second respiration parameters and the body temperature distribution parameters. The application can automatically identify heartbeat, respiration and body temperature abnormal states and generate a comprehensive health evaluation result, thereby improving the accuracy of non-contact sign detection.

A sensor sealing component (24), a sensor component (20), and a physiological sign detection apparatus (100) are disclosed. The sensor sealing component (24) includes a needle base (241), a puncture needle (242), a sensor (244), and a sealing bottle (246). The puncture needle (242) is fastened to the needle base (241), and a puncture tip (2421) of the puncture needle (242) protrudes from the needle base (241). The sensor (244) includes an implantation portion (2443), and the implantation portion (2443) of the sensor (244) is located on an inner side of the puncture needle (242). The sealing bottle (246) is detachably fastened to the needle base (241), and hermetically connected to the needle base (241), the sealing bottle (246) has a hollow cavity, and the implantation portion (2443) of the sensor (244) and the puncture tip (2421) of the puncture needle (242) are located in the hollow cavity of the sealing bottle (246). The sensor sealing component (24) can be sterilized independently. In this way, sterilization procedures are simpler and more efficient.

The invention discloses a physiological sign detection method, terminal equipment and a storage medium, and belongs to the technical field of physiological detection. The method comprises the steps that a display screen is controlled to display a preview picture of a camera, the preview picture comprises an effective working area of a radar, and when an organism moves into a shooting range of the camera, the preview picture about the organism can be visually displayed through the display screen so as to assist in aligning a target part of the organism, and the alignment efficiency is improved. The effective working area is the mapping of the effective working space of the radar in the preview picture, and the depth range of the effective working space is obtained according to the target working distance and the preset offset of the radar. When it is detected that the target part of the organism is not located in the effective working space, prompt information is sent out, the position is prompted to be moved so that the target part can be located in the effective working space, and then the physiological signs of the target part are detected. The effective working area of the radar is visually displayed, alignment is assisted, and the physiological sign detection efficiency is improved.

The embodiment of the application provides a kind of sign detection method, device (20) and equipment, it is applied to terminal equipment (101), radar (A) is provided in terminal equipment (101), the method comprises: obtaining the transmission signal of radar emission and the reflected signal received by radar (S201), and reflected signal includes the signal after the object reflection transmission signal;According to the state of the object, the state of the object is determined as static state or motion state (S202), the state of the object is determined according to transmission signal, reflected signal and the state of the object, and the accuracy of the sign information detection is improved.