114 results about "Sign detection" patented technology

The invention relates to the technical field of image processing, and discloses a non-contact vital sign detection method and device based on self-supervised learning. The method specifically comprises the following steps: generating a visual-text pair based on a visual sample and a text cue word, extracting visual features and text features by adopting a visual-language model, and aligning the visual features and the text features by using a contrast loss function; reconstructing a shielded video region in the visual sample based on the visual features and the text features, and optimizing the reconstructed video sample by using a reconstruction loss function; the predicted physiological signal is optimized using a frequency contrast loss function and a frequency ranking loss function. A self-supervised learning method is adopted, accurate estimation of the physiological indexes can be realized without using an external PPG signal as supervision, and the demand on computing resources is reduced; through the design of the model and the loss function, the accuracy of signal extraction and the generalization performance of the model are improved; no contact type sensor in any form needs to be worn, the economic cost is low, and the privacy is good.

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 invention discloses a traffic sign detection method, which performs traffic sign detection based on full-dimensional dynamic convolution and attention guidance feature fusion, and specifically comprises the following steps: A1, image acquisition: acquiring image data containing traffic signs through an image acquisition device; a2, feature extraction: enabling the image data to pass through an improved LTS-YOLOv10 backbone network; a3, feature fusion: adopting an attention-guided bidirectional feature pyramid network (EMA-BiFPN) to optimize a feature fusion process; a4, traffic sign detection and classification; and A5, result output. And the accuracy of traffic sign detection is improved.

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.

To provide an abnormality sign detection system that is capable of detecting abnormal signs in a target device with high accuracy.SOLUTION: An abnormality sign detection system 100 includes a processing unit 10 that detects abnormality signs of a target facility based on a classification model using a data set including processed sensor data in which detection values of a plurality of sensors of the target facility are subjected to predetermined pre-processing and abnormality determination data indicating the presence or absence of an abnormality sign of the target facility as training data. For any date during a given past period in which an inspector's inspection of the target facility was normal, the processing unit 10 regards the target facility as being normal at each time on that date, and generates abnormality determination data.SELECTED DRAWING: Figure 2

The invention relates to a microwave radar-based vital sign detection method and device, and the method comprises the following steps: S1, transmitting and receiving a radar signal through a microwave radar, and searching the position of a human body; s2, controlling the microwave radar to rotate and / or translate, and searching a vital sign detection area; and S3, receiving a radar signal returned by the vital sign detection area, and extracting vital signs from the radar signal. According to the method, the microwave radar can be controlled to rotate and / or translate to search the vital sign detection area, so that the microwave radar for detecting vital signs can be placed at multiple indoor positions, manual adjustment of the scanning area of the microwave radar is not needed before use, and the detection efficiency is improved. The microwave radar can automatically find a vital sign detection area and carry out vital sign detection.

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.

To provide a fire sign detection system, a fire sign detection method and a fire sign detection program that are able to detect a sign of a fire in an early stage.SOLUTION: A fire sign detection system capable of communicating with a plurality of types of sensors installed in an area to be monitored and configured to measure an environment of the area and for detecting a sign of a fire in the area, includes: a measurement data acquisition unit configured to acquire measurement data of each of a plurality of indices of the environment of the area acquired by the plurality of types of sensors; a sign presence / absence determination unit configured to determine presence or absence of the sign of the fire in the area, based on a combination of measurement data of a predetermined index selected from the measurement data acquired by the measurement data acquisition unit; and a notification unit configured to notify a person monitoring the area of the fact that there is the sign of the fire, when the sign presence / absence determination unit determines that there is the sign of the fire in the area.SELECTED DRAWING: Figure 5

The invention provides an intelligent physical sign detection and auxiliary decision making system based on data fusion. The system is applied to the technical field of physical sign detection and adjuvant therapy, and comprises an acquisition and preprocessing module used for acquiring and preprocessing multi-modal human body physical sign data of a patient; the model construction and optimization module is used for constructing a data feature extraction and layer strategy combined with a random forest and a ReliefF algorithm to carry out model training, and predicting to obtain a sign detection result; the stimulating electrode adjusting module is used for dynamically adjusting the intensity, the frequency and the position of a stimulating electrode by adopting a feedback mechanism of a self-adaptive proportional-integral-differential control algorithm according to the predicted physical sign detection result; and the data visualization module is used for presenting the multi-modal human body sign data, the sign detection result and the electrode stimulation real-time condition in real time in a data visualization mode, and assisting doctors in operation and decision making. The accuracy, practicability and scientificity of the medical health detection system are improved.

1. The name of the product of this design: Top (one-piece woven intelligent vital signs monitoring suit). 2. Purpose of this design product: This design product is a smart wearable device and can be used for sports vital signs detection, elderly health monitoring, fire emergency vital signs detection, and individual combat armaments. 3. The design key point of this appearance design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design key points: rear view. 5. The top view and bottom view of this design product can be seen from other views, so the top view and bottom view are omitted.

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 invention discloses an infant physical sign monitoring system, and relates to the technical field of nursing, the infant physical sign monitoring system comprises a non-contact detection unit, a contact detection unit and a main control unit, the non-contact detection unit comprises a non-contact sensing assembly and a first control unit, and the non-contact sensing assembly is provided with a user physical sign detection area; the contact type detection unit comprises a second control unit, a bearing main body and a contact type sensing assembly; the main control unit is used for acquiring a target in-place signal of the contact type detection unit and controlling the non-contact type detection unit to be in a working state; on one hand, the contact type detection unit can be used for subsequent physical sign detection, and on the other hand, the contact type detection unit can be used for determining whether a detection target is in place or not, so that the main control unit can intelligently and accurately control the non-contact type detection unit to work; particularly, the non-contact sensing assembly is intelligently and accurately controlled to be in a working state.

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.

A sign detection device 1 comprises: an acquisition unit 10 that acquires space-time data of a multidimensional variable indicating a state of a target; a prediction error analysis unit 20 that estimates a deviation between a prediction value and an actual measurement value of time data in the space-time data; a fluctuation analysis unit 30 that estimates fluctuation of the space-time data; and a sign detection unit 40. The prediction error analysis unit 20 calculates the prediction value by converting the space-time data of the multidimensional variable into time data of a target variable which is a variable to be predicted by the sign detection device 1, and estimates the deviation between the prediction value and the actual measurement value. The fluctuation analysis unit 30 calculates fluctuation of the state of the target by means of fluctuation analysis using the space-time data. When the deviation estimated by the prediction error analysis unit 20 exceeds a predetermined first threshold value and the fluctuation estimated by the fluctuation analysis unit exceeds a predetermined second threshold value, the sign detection unit 40 detects that there is a sign of a state transition in the target.

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.

The present application discloses a physiological sign detection method, terminal device and storage medium, which belongs to the field of physiological detection technology. The method includes: controlling the display screen to display the preview screen of the camera, the preview screen includes the effective working area of ​​the radar, and when the organism moves into the shooting range of the camera, the preview screen about the organism can be intuitively displayed through the display screen to assist in aligning the target part of the organism and improve the alignment efficiency. The effective working area is the mapping of the effective working space of the radar in the preview screen, and the depth range of the effective working space is obtained according to the target working distance and preset offset of the radar. When it is detected that the target part of the organism is not located in the effective working space, a prompt message is issued to prompt the moving position so that the target part is located in the effective working space, and then the physiological signs of the target part are detected. By intuitively displaying the effective working area of ​​the radar, the alignment is assisted, and the efficiency of physiological sign detection is improved.

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 present disclosure addresses the problem of accurately detecting a sign before a fire occurs. A fire sign detection system according to the present disclosure comprises a detection unit (12) and a holding member (13). The detection unit (12) detects the presence or absence of an abnormal gas. The holding member (13) holds the detection unit (12). A housing (200) in which a computer device (300) is housed has a first side wall (201) and a second side wall (202). The first side wall (201) passes cold air flowing into the housing (200) from a blowout port. The second side wall (202) is aligned with the first side wall (201) in one direction, and allows hot air that has passed through the computer device (300) to pass toward a suction port. The holding member (13) is attached to the second side wall (202) in a state of being inclined with respect to the second side wall (202) in the housing (200).

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.