1818 results about "Close range" patented technology

The invention discloses an intelligent driving multi-sensor fusion data processing system, which belongs to the technical field of fusion data processing and comprises a data preprocessing unit, a data fusion unit and a data post-processing unit. The data preprocessing unit normalizes the original data of the laser radar, the camera, the millimeter wave radar and the ultrasonic sensor through a standardization, cleaning, noise reduction and calibration synchronization module; the feature level fusion module deeply digs the characteristics of each sensor, and fuses geometric, visual, motion and close-range obstacle features by using a deep neural network; the decision-making level fusion module generates a driving instruction through weighted voting and fuzzy logic reasoning through classification and situation evaluation; and the data post-processing unit combines the vehicle and road condition optimization instruction, evaluates the risk, and stores the data feedback optimization system. The system can improve the sensing precision and decision reliability, enhances the expansion adaptability of the system, and provides guarantee for safe and efficient operation of intelligent driving.

The invention discloses a multi-target detection and tracking method, and relates to the technical field of computer vision and intelligent monitoring. The method comprises the following steps: acquiring multi-source video data of an unmanned aerial vehicle and a middle-high point fixed camera, and after scene adaptation preprocessing, outputting a target detection frame by using a multi-scale detection model fused with scene context; block enhanced appearance features and geometrical relationship features of the target are extracted to construct a dynamic feature library, and an initial track is generated based on a multi-stage adaptive association mechanism; through a child-mother type multi-machine collaborative optimization track, linkage control is triggered in combination with abnormal behavior analysis, and close-range evidence obtaining of the unmanned aerial vehicle and linkage of fixed equipment recording are controlled. According to the method, the multi-source data fusion capability, the multi-scale target detection precision and the trajectory association robustness in a complex scene are improved, and intelligent management and control requirements in the fields of traffic, forestry and the like can be efficiently supported.

The invention provides an access control method and system based on multi-type intelligent locks and a storage medium. The mobile intelligent lock sends an intelligent door lock ID to the community access control by responding to close-range contact between the mobile intelligent lock and the community access control; the intelligent door lock and the community access control are registered in the lock management platform; the mobile intelligent lock records a corresponding intelligent door lock ID; sending a door lock IP address request message to the lock management platform according to the community access control; the request message comprises an intelligent door lock ID; the lock management platform determines an intelligent door lock IP address according to the door lock IP address request message and returns the intelligent door lock IP address to the community access control; a face image carrying the mobile intelligent lock is obtained through a community access control, a verification message is sent to the IP address of the intelligent door lock, and the community access control is controlled to be opened according to a verification result. Compared with the prior art, the access control system facilitates access of community members, and meanwhile, the access control system does not need to retain face features of each family member, so that privacy is protected.

The invention provides a power transmission line forest fire risk assessment method and system driven by a flame combustion model, relates to the technical field of electrical engineering, establishes a multi-source data fusion fire point monitoring system, and comprehensively utilizes three monitoring modes of satellite remote sensing, a ground monitoring station and unmanned aerial vehicle inspection to collect fire point data information. According to the method, multi-source cooperative complementary monitoring is realized, the satellite remote sensing, the ground monitoring station and the unmanned aerial vehicle are comprehensively used for routing inspection, the limitation of a traditional monitoring means is overcome, the satellite remote sensing coverage is wide, and large-area fire points can be found in time; a ground monitoring station carries out precise monitoring in a close-range and complex terrain area; the unmanned aerial vehicle is flexible in routing inspection and high in resolution, low-altitude detailed reconnaissance can be realized, and the three parts cooperate to comprehensively improve the monitoring accuracy and reduce missing report and false report.

An apparatus comprises an interface and a processor. The interface may be configured to receive pixel data representing a first field of view of a camera and four-dimensional (4D) point cloud data representing a second field of view of a 4D imaging radar sensor. The first field of view of the camera and the second field of view of the 4D imaging radar sensor generally overlap. The processor may be configured to process the pixel data and the 4D point cloud data arranged as video frames and perform an extrinsic parameter calibration for the 4D imaging radar sensor and the camera based on adaptive projection error. The extrinsic parameter calibration may comprise applying a pose calibration process to the video frames. The pose calibration process may use (i) a respective translate vector and a respective rotation matrix for each of the 4D imaging radar sensor and the camera and (ii) a radar corner reflector to obtain configuration parameters for the first field of view of the camera and the second field of view of the 4D imaging radar sensor. The pose calibration process generally comprises capturing data for a plurality of positions of the radar corner reflector between a near-distance value and a long-distance value, and modifying a scale of a projection error of the radar corner reflector based on a size of the radar corner reflector in an image captured by the camera.

The invention relates to an automatic emergency braking control method and device, computer equipment and a vehicle. The method comprises the following steps: acquiring own vehicle state information, and determining whether an own vehicle meets a preset effective condition or not according to the own vehicle state information; under the condition that the own vehicle state information meets a preset effective condition, target vehicle state information is obtained, and the longitudinal collision time between the own vehicle and the target vehicle is calculated according to the target vehicle state information and the own vehicle state information; under the condition that the longitudinal collision time meets a preset collision condition, determining that the target vehicle is a short-distance early warning target, and giving an alarm; and detecting the definition of the current lane line, and controlling the vehicle to brake and decelerate according to the current road curvature under the condition that the current lane line is not clear and the vehicle is in a stable straight moving state. The method can adapt to vehicle requirements, reduces the false triggering probability, avoids vehicle instability, and improves the vehicle driving safety and reliability.

The invention provides a real-time human body detection method and system based on a microwave radar, and is applied to the field of signal data processing. By constructing a sparse reconstruction model and combining multi-dimensional feature decomposition, the method effectively relieves the recognition difficulty caused by target signal aliasing, continuously outputs and receives radar signals, extracts distance, Doppler and angle features, constructs target distribution point clouds in a three-dimensional feature space, further utilizes angle continuity judgment and point cloud density analysis, and improves the recognition accuracy of target distribution point clouds. According to the method, the number and distribution of overlapped targets are accurately estimated, a Kalman filter is introduced for dynamic tracking for a scene in which a continuous area is not formed, continuous separation and pseudo-color image reconstruction of multiple targets are realized, and thus the resolution precision and target positioning capability of a radar in a multi-person close-range aggregation scene are remarkably improved.

The invention discloses a camera and millimeter wave radar fusion three-dimensional target detection method based on time sequence fusion, and belongs to the technical field of three-dimensional target detection of computer vision. The invention provides a time sequence modeling framework integrating a camera and a millimeter-wave radar for solving the problems that pure visual perception lacks space measurement capability and a traditional time sequence fusion strategy has limitation in the aspects of dynamic target alignment and fusion efficiency. According to the framework, firstly, clustering processing is carried out on radar point clouds, instance features are extracted, and the instance features are used as initialization input of self-adaptive query, so that the number of iterations of a decoder is effectively reduced. By introducing a time sequence transmission mechanism based on a query instance, high calculation overhead caused by global feature alignment is avoided, and the motion state and time-space characteristics of a dynamic target are captured more accurately. A local self-attention mechanism is constructed by introducing a distance penalty term, close-range matching between query instances is realized, and the spatial alignment precision and fusion effect of multi-source data are further improved.

The invention discloses a wind power plant intelligent video monitoring and abnormal behavior recognition system, method and device and a medium, and belongs to the technical field of wind power generation, and the system comprises a multi-mode collection module which is used for collecting various data of a wind power plant; the edge calculation module is used for receiving and primarily processing data of the wind power plant; the communication network module is used for transmitting the processed data of the wind power plant to the central server cluster module; the central server cluster module is used for receiving the data transmitted by the communication network module and executing deep learning model training and large-scale data analysis; and the unmanned aerial vehicle subsystem is used for executing large-range inspection and close-range inspection and transmitting the acquired data to the central server cluster module through the communication network module. The problems that a traditional wind power plant monitoring system is difficult in data integration, weak in analysis capacity and poor in real-time performance are solved, the operation efficiency, safety and reliability of a wind power plant are remarkably improved, and technical support is provided for sustainable development of the wind energy industry.

The invention discloses a vertical rail scanning remote sensing satellite natural multi-coverage image resolution improving method and system, and relates to the field of remote sensing image processing. The method solves the problems that due to the fact that the distance between an existing vertical rail scanning imaging sensor and a ground target is increased, image pixels cover a wider ground range, the actually-measured spatial resolution is reduced, and fine detection and recognition of ships, aircrafts and the ground target cannot be supported. SIFT feature point extraction is carried out, and feature points extracted from different images are matched by using a Euclidean nearest distance matching strategy; taking one registered image as a reference, and constructing an initial high-resolution image through up-sampling; establishing an imaging degradation model from a high-resolution image to a low-resolution observation image; calculating a residual image of the simulation image and the real observation image; and back-projecting the residual error back to the high-resolution image space, and updating high-resolution image estimation.

The invention provides a deep learning-based automatic sketching method and system for high-risk clinical target regions and endangered organs in cervical cancer brachytherapy, and is applied to the technical field of data processing. According to the application, CT image information and MR image information of a cervical cancer patient are processed based on a positioning network, and 3D position information and form information of a source applicator and image feature sequence information are generated; performing classification processing on the CT image information of the cervical cancer patient based on a positioning network, and generating a priori knowledge label; processing the priori knowledge label based on the segmentation network, and generating a source applicator positioning target factor; the source applicator positioning target factor, the 3D position information and form information of the source applicator and the image feature sequence information are processed based on the segmentation network, and high-risk clinical target region and organ segmentation parameter information is generated; and processing the high-risk clinical target region and organ segmentation parameter information to generate an automatic sketching result of the high-risk clinical target region and the organ at risk for cervical cancer close-range treatment.

The invention discloses a handheld integrated itinerant detector and an itinerant detection method thereof. The itinerant detector comprises a multi-source sensing unit and a magnetic attraction positioning module, the inspection method comprises the following steps: establishing a multi-dimensional calibration parameter of a target device, adsorbing on the surface of the target device based on a magnetic attraction positioning module, loading a spatial layout, and generating an environment calibration model; synchronously operating the far / close distance temperature measurement module and the vibration sensing module, and outputting multi-source fusion data; performing dynamic correlation analysis, analyzing vibration spectrum energy distribution by using a feature extraction algorithm, constructing a vibration-temperature coupling feature vector in combination with temperature gradient change, inputting a fault diagnosis result of a pre-trained fault diagnosis model, generating a visual early warning map, and feeding back the early warning map in real time through an interactive interface; according to the method, the limitation of single parameter monitoring is overcome, the detection precision is remarkably improved, and a real-time, rapid and accurate fault detection result is provided through self-adaptive switching of a temperature measurement mode and a multi-frequency-band vibration acquisition strategy.

The invention discloses a cable channel heating defect checking method based on a multi-legged inspection robot, and relates to the technical field of radiation temperature measurement, and the method comprises the steps: controlling the multi-legged inspection robot to autonomously advance in a cable channel, and collecting multi-source sensing data; constructing spatial-temporal feature representation of the cable channel based on the multi-source sensing data, and constructing a multi-modal graph neural network model to perform heating anomaly detection to obtain an initial detection result; when a suspected defect exists in the initial detection result, a multi-legged inspection robot is scheduled, a reinspection path and a detection mode are selected according to a reinforcement learning strategy, and a multi-modal graph neural network model is used for performing close-range reinspection on the position of the suspected defect; and performing fusion analysis on the initial detection result and the reinspection result, and outputting positioning information, defect type and confidence of the heating defect of the cable channel. According to the method, high-sensitivity identification of potential heating anomalies is realized, the missing report rate is remarkably reduced, the reinspection efficiency is improved, and repetition and omission are effectively avoided.

The invention discloses a graphic processing unit cooperative processing method and system for accelerating a three-dimensional generative model. The model comprises a diffusion processing stage and a Gaussian splash rendering stage. In the diffusion processing stage, the time step number and the data precision calculated by the neural network are dynamically adjusted according to the visual angle sensitivity, and a specific graphic processing unit core is scheduled for execution. In the Gaussian splash rendering stage, pixel block tasks are predicted and intelligently scheduled to a stream processor based on historical data; and in the stream processor, the processing sequence of the Gaussian ball by the rendering unit is optimized according to the geometric distance, and the close-range unit is preferentially processed. During back propagation, the built-in logic of the stream processor preaggregates the gradient contributions of the same Gaussian ball, and then updates the gradient contributions through a single write operation. Through collaborative optimization of software and hardware, the efficiency bottleneck of the 3D generation model on a graphic processing unit is effectively solved, the calculation speed, the throughput and the hardware utilization rate are remarkably improved, and the model generation time is shortened.

The invention provides a high-precision optical pose measurement method based on tower recovery, which adopts a close-range bidirectional optical cooperation mode, measures a mark point of a recovery tower through an optical detector on a rocket, and determines the distance and the pose of the rocket relative to the recovery tower; and the optical measurement system of the recovery tower synchronously detects and identifies the rocket and controls a capture arm and a buffer mechanism of the recovery tower to move, and optical measurement data of the recovery tower are fed back to the rocket and are integrated with optical measurement data on the rocket to control landing of the rocket. According to the invention, optical measurement and navigation are introduced into rocket tower type recovery, and the method has the advantages of high measurement precision, high data frequency, interference resistance and the like. The relative relation between the rocket and the recovery tower can be directly obtained through optical pose measurement, compared with inertial navigation, the coordinate conversion process can be reduced, and the advantage of no accumulated error is achieved. Compared with satellite navigation, optical pose measurement does not depend on external signals, and higher independence and electromagnetic resistance are achieved.

The embodiment of the invention discloses a cross-modal biological feature generation type enhancement method and system. The method comprises the following steps of: constructing a cross-modal biological feature recognition model, respectively acquiring long-distance modal data and short-distance modal data of a user, extracting feature vectors, pre-recognizing the user based on the long-distance feature vectors, finely recognizing the user based on the short-distance feature vectors, and carrying out mutual complementation and fusion on various modal features, so as to improve the recognition accuracy of the user. According to the method, the limitation that a single mode is low in recognition accuracy and prone to being interfered under different distance scenes is overcome, the identity recognition safety is improved, and through a secondary recognition mechanism combining pre-recognition and fine recognition, the efficiency and precision of identity recognition are improved while the system load is reduced.

The invention relates to the technical field of clothes treatment, in particular to clothes treatment equipment, and aims to solve the problem that clothes treatment equipment in the prior art cannot accurately detect the drying degree of clothes. To this end, the clothes treating apparatus of the present invention comprises: a drying drum rotatably arranged; the dryness judging sensor is arranged on the lifting rib in the drying cylinder and used for detecting the dryness degree of the clothes; the signal transmitting module is arranged to rotate along with the drying cylinder and is in communication connection with the dryness judging sensor; and the power supply component comprises a transmitting coil and a receiving coil, the transmitting coil is fixedly arranged, the receiving coil is installed on the drying cylinder, and the receiving coil is electrically connected with the signal transmitting module and the dryness judgment sensor. The dryness judgment sensor is arranged on the lifting rib and can make contact with the clothes for a long time at a short distance, so that the drying degree of the clothes is more accurately detected, and the power supply component prevents the dryness judgment sensor from rotating along with the drying cylinder to cause breakage of a circuit.

The invention belongs to the field of medical care, and particularly relates to an intelligent nursing inspection auto-induction recording device and method, and the device comprises a directional RFID card reader at the entrance of a ward, an NFC activation module at the side of a sickbed, an integrated pressure-sensitive foot pad, and an adjustable installation structure. Timing is started through ward entrance identification, nurse information is recorded through close-range induction of a sickbed, and nursing operation and passing behaviors are distinguished by detecting a two-foot standing mode through a pressure-sensitive foot pad. The mounting structure comprises an L-shaped mounting plate and a sliding inner plate and is matched with the width of a sickbed; the angle adjusting component fixes the position; the intelligent pressure-sensitive foot pads are integrated at the four corners of the sickbed base, the pressure distribution sensors detect the standing mode of the two feet, nurses and temporary passing persons are distinguished, false inspection in the mode of waving for walking is avoided, substantive nursing operation of the nurses is accurately verified, and it is ensured that patients are truly and effectively nursed.

An optical arrangement for a LIDAR system includes a laser, scanner, fold mirror, lens, and sensors. Adding a wedge-shaped optical element creates an auxiliary field of view, when positioned to overlie an edge portion of the lens. The wedge-shaped optical element may have a variable transparency preventing reception by the sensors of excessive signals from close targets. The sensors may be: a plurality of sensors with unique lengths / widths, arranged to form a linear array; or sensors with the same length / width, but positioned to form an arcuate shape, compensating for an arcuate scan line; or two columns of sensors, one with a field of view in focus at far field positions, and the other in focus at near field positions, correcting for parallax effect / error; or a column of highly sensitive sensors surrounded by a plurality of guard rail sensors having higher immunity to damage from stray laser light.

The invention belongs to the technical field of closed cooling towers, and discloses a countercurrent closed cooling tower and a cooling method.The countercurrent closed cooling tower comprises a tower body, a draught fan is fixedly connected to the top of the tower body, an air inlet is formed in the side wall of the bottom of the tower body, a water collecting tank is formed in the bottom of the tower body, and a pair of coil pipes is fixedly connected to the middle of the tower body; through cooperation of structures such as an annular shell, an annular spraying pipe and a concave panel, the possibility that scale is generated by the coil pipe is reduced, the heat exchange effect can be improved, during heat exchange, water in a collecting groove of the annular spraying pipe moving in a reciprocating mode is pumped and pressurized, the surface of the coil pipe is scoured in an annular mode, and the scale forming risk is reduced; and meanwhile, the sliding columns continuously extrude the wave-shaped grooves, so that the whole annular shell rotates in a reciprocating mode, close-distance washing can be more uniform, and therefore the heat exchange effect and durability of the coil pipe are efficiently improved.

Photometric stereo techniques enable using a single camera to perform an enrollment process for creating a user-specific anatomical model of an eye for gaze tracking. The user-specific anatomical model includes information about a user's center of vision at multiple dilation states of the eye, which can be used to enhance the accuracy of gaze tracking techniques. Accurate gaze tracking techniques enable the use of gaze tracking at close range, for example, gaze tracking within a head-mounted display device.

According to one embodiment, a method, computer system, and computer program product for performing a close-range inspection on a façade is provided. The present invention may include conducting a close-range inspection of inspection sites using a camera-equipped drone, wherein the close-range inspection comprises a close visual inspection and a tactile assessment; determining, by the visual AI engine, a visual building quality of the façade at the inspection sites based on images from the close visual assessment of the inspection sites; determining, by the acoustic AI engine, an acoustic building quality of the façade at the inspection sites based on impact sounds from the tactile assessment of the inspection sites; generating a digital representation of the façade based on the visual building quality and the acoustic building quality.

The invention particularly relates to a task-oriented radar and photoelectric heterogeneous heterogenous information cooperative reconnaissance method, which adopts a multi-radar traversal planning mode and a target automatic identification algorithm to form a battlefield map and complete remote rough reconnaissance. A shared reconnaissance information structure adapting to weak network bandwidth and role definition of an information group leader are provided, reconnaissance information is shared in unmanned aerial vehicles of the same configuration, and meanwhile, a target is distributed to a close-range guide type photoelectric unmanned aerial vehicle. A target fusion method of different-source information of an SAR image and a visible light image is used to carry out target re-identification in a close-range view field. And automatic tracking of the same target of the photoelectric unmanned aerial vehicle is realized. And the other photoelectric unmanned aerial vehicle in the area performs real-time monitoring in guidance to complete damage evaluation in the striking process. The cooperative reconnaissance method integrating reconnaissance and evaluation is

The invention discloses a single-photon three-dimensional imaging system based on double-optical-wedge scanning and a registration method. According to the single-photon three-dimensional imaging system based on double-optical-wedge scanning, multi-beam emission illumination based on Dammann gratings is adopted, so that the energy utilization efficiency can be effectively improved, and the detection distance is increased; by adopting the area array single-photon detector, high-sensitivity detection of extremely weak long-distance target reflected light signals can be realized; an imaging view field can be expanded under the condition that image rotation is not introduced by adopting a double-optical-wedge scanning mode; internal reflection can be effectively inhibited and a close-range detection blind area can be eliminated by adopting sub-aperture common-path coupling; a prior-based rapid reconstruction algorithm is adopted, so that the three-dimensional image reconstruction speed of double-optical-wedge scanning can be effectively improved; by adopting an off-axis focal plane method, high-efficiency coupling registration of emitting laser beams and receiving the field of view of the area array detector can be realized.

Embodiments of the present specification disclose a payment method and apparatus, and a device, which are applied to a client of a payment application. For both parties, i.e., the payer and the payee, of the payment, hardware requirements are reduced, convenience is improved, payments of a large amount can be well supported, and the user experience is better. The solution comprises: receiving an evocation instruction, an initiation means of the evocation instruction comprising: a mobile device where a client is located reading a near-field communication label of a payee, obtaining a corresponding code value, and sending the evocation instruction and providing the code value to the client; in response to the evocation instruction, obtaining related information of the payee on the basis of the code value; when a current payment is a large amount payment, on the basis of the related information, triggering a server of a payment application to obtain a dynamic code of the payee, and, on the basis of the dynamic code of the payee, perform corresponding large amount payment processing; and receiving a payment result returned by the server.

To provide a zoo lens which has a large aperture ratio and a minimized total length, offers less shift in the center of gravity while zooming and focusing and quiet autofocusing, and is suitable for video shooting.SOLUTION: A zoom lens of the present invention consists of a first lens group G1 having negative refractive power, an intermediate lens group GM having positive refractive power as a whole, a rear lens group GR, and a final lens group GN arranged in order from the object side, the intermediate lens group GM consisting of three or more lens groups including a focusing lens group configured to move along an optical axis while focusing from infinity to a short distance, and the rear lens group consisting of one or more lens groups. When zooming from the wide-angle end to the telephoto end, distances between the lens groups change as the intermediate lens group GM moves toward the object side, increasing the distance between the intermediate lens group GM and the rear lens group GR. The first lens group G1 and the final lens gup GN are stationary while zooming and focusing.SELECTED DRAWING: Figure 1

The invention discloses an automatic spraying method for a tunnel roadway concrete support in the technical field of concrete support spraying, which comprises the following steps of: controlling a traveling chassis, a pumping mechanism, an arm support mechanism and an environment scanning mechanism through a traveling computer to realize automatic spraying of the concrete support of an excavation surface in a tunnel; a worker does not need to enter a tunnel to control the concrete wet spraying machine in a close range, threats of the severe environment to the health of the worker and potential safety hazards are thoroughly avoided, various parameters during concrete support spraying are adjusted according to the actual situation of an excavation face, and therefore the spraying process of concrete support is accurately controlled, and the construction efficiency is improved. The forming quality of the final concrete support is improved, reworking caused by manual errors is reduced, meanwhile, continuous operation without intermittency can be achieved, and the construction efficiency is improved.

The invention discloses a focusing detection method, system and device and a medium. The detection method comprises the following steps: constructing a first mapping model among the real-time focal length of a zoom lens, the temperature of the zoom lens and the control voltage; constructing a second mapping model between the target focal length of the zoom lens and the light spot centroid offset and between the target focal length of the zoom lens and the current focal length of the zoom lens; acquiring a light spot image fed back by the surface of the to-be-measured object, and calculating to obtain a corresponding light spot centroid offset; acquiring the light spot centroid offset corresponding to the object to be measured, the current focal length of the zoom lens and the second mapping model to calculate the target focal length of the zoom lens; and obtaining the target focal length of the zoom lens, the current temperature of the zoom lens and the first mapping model to calculate the target voltage. Light spot image detection and zoom lens accurate voltage control are combined, actual errors caused by laser ranging during close-range imaging are effectively avoided, the image detection advantage of the image sensor is fully utilized, and the effect is more obvious especially during close-range detection.

The invention discloses a light spot adjustable laser telemetering light machine system, and relates to the technical field of light spot adjustment. The light spot adjustable type laser telemetering light machine system comprises a laser emitting unit used for emitting laser beams, and a detection light lens adjusting unit used for receiving the laser beams emitted by the laser emitting unit and performing form control; the receiving lens is used for receiving an optical signal returned by telemetering after the laser beam subjected to form control by the detection light lens adjusting unit reaches a target, and focusing the optical signal; the detection unit is used for converting an optical signal focused by the receiving lens into an electric signal; the signal processing unit is used for receiving the electric signal output by the detection unit and analyzing and generating a regulation and control instruction, and the signal processing unit is used for intelligently regulating and controlling the laser emission unit, the detection light lens adjusting unit and the micro-displacement adjusting platform, so that the focal length is automatically adjusted, and the size of a light spot is further controlled; and the detection requirements of far and near distances are met, and the signal quality of the optical machine is automatically adjusted to be optimal.

The invention discloses a high-sensitivity flexible tactile sensor, a preparation method thereof and an intelligent robot with a body, and the high-sensitivity flexible tactile sensor comprises a flexible chamber substrate, an anti-corrosion protection ring, a flexible cover film, a sensing material layer and a plurality of projection structures. According to the high-sensitivity flexible tactile sensor, due to the innovative design of the flexible sealing cavity substrate, the flexible cover film and the protruding structure, the flexible tactile sensor shows high sensitivity and low detection limit. Meanwhile, through the arrangement of the convex structure, the close-range sensing performance of the flexible sensor and an interaction object is improved, the micro-deformation capability of the sensor is enhanced through the multi-layer deformation of the convex structure, the flexible cover film and the cavity, and the sensitivity of the sensor is further improved.