1330 results about "Distance detection" patented technology

The invention relates to a welding seam path planning method and device, computer equipment and a readable storage medium. The method comprises the steps that workpiece surface point clouds of a to-be-welded workpiece are obtained, the workpiece surface point clouds are clustered, a point cloud clustering cluster is obtained, weld joint end points in the point cloud clustering cluster are detected, the number of the detected weld joint end points is determined, a weld joint exists between the weld joint end points, a first weld joint type of the weld joint is detected according to the number of the end points, and a second weld joint type of the weld joint is determined according to the first weld joint type. And detecting a second welding seam type of the welding seam based on the distance between the target vector between the welding seam end points and the mass center of the preset area where the welding seam is located, and performing welding path planning on the welding seam based on the first welding seam type and the second welding seam type. By adopting the method, the welding path can be accurately planned.

The invention belongs to the technical field of intelligent traffic, and discloses a road vehicle speed and distance detection method, system and device based on unmanned aerial vehicle vision. The method comprises the steps of tracking a vehicle in a to-be-processed video aerially photographed by an unmanned aerial vehicle in real time through an improved YOLOv11 network and a BotSort algorithm to obtain a vehicle trajectory, and converting a vehicle pixel coordinate detected by each frame into a world coordinate in combination with a conversion matrix H of the pixel coordinate and the world coordinate to form a trajectory sequence of the vehicle in the world coordinate system; and for a certain vehicle i, according to the pixel coordinates at the t-th moment and the (t + t)-th moment in several continuous video frames, corresponding world coordinates are obtained through the conversion matrix H, the displacement between two points is calculated according to an Euclidean distance formula, and the average speed of the vehicle in the time period is calculated. According to the invention, efficient, stable and reliable vehicle speed measurement and vehicle distance calculation can be realized.

The utility model discloses a vehicle body and tray obstacle avoidance detection device of a four-way shuttle vehicle. The vehicle body and tray obstacle avoidance detection device comprises the four-way shuttle vehicle, a tray with goods, a Y-direction track and an X-direction track, the four-direction shuttle vehicle can run in the track direction of the Y-direction track and the X-direction track. Goods shelf supports are arranged on the two sides of each Y-direction rail, and trays are supported on the goods shelf supports. The four-way shuttle vehicle is provided with a jacking structure capable of ascending and descending; when the jacking structure of the four-way shuttle vehicle is not lifted and the four-way shuttle vehicle runs along the Y track, the four-way shuttle vehicle can freely shuttle below the tray; a tray Y + distance detection sensor and a tray Y-distance detection sensor are arranged on the front side and the rear side of the jacking structure in the Y direction correspondingly. Direction distance sensors are respectively arranged in four directions of a vehicle body of the four-direction shuttle vehicle; the four-way shuttle vehicle is prevented from colliding with the trays on the goods shelf supports, and the four-way shuttle vehicle is prevented from colliding with other four-way shuttle vehicles.

The invention relates to a near-electricity construction operation safety early warning method and system, and belongs to the field of near-electricity construction operation equipment early warning, and the method comprises the steps: scanning a power transmission and transformation project construction site through three-dimensional laser, and forming a high-precision laser point cloud three-dimensional data model; quickly dividing an electrified body and a non-electrified body in the three-dimensional laser point cloud model, and carrying out attribute hooking on the safe distance range and the electrified body; rTK positioning sensors are installed on an operator and a construction machine, and high-precision real-time positioning and spatial distance measurement of the operator and the machine are achieved through Beidou RTK; real-time space distances between operators, machines and electrified bodies are monitored on the basis of a safety distance detection algorithm, reminding in different modes such as safety warning and prohibition warning is set according to requirements of safety operation regulations, and it is ensured that the operators, machines and the like keep enough safety distances from the electrified bodies.

A method of audio processing combining WiFi and BLE technologies includes: obtaining target audio data including multi-channel information; establishing connections among audio devices corresponding to multiple rooms through WiFi and BLE Auracast™ protocols; dynamically configuring distribution paths according to intelligent distance detection results, and obtaining a configured audio distribution network; adjusting, using a synchronization algorithm in the BLE Auracast™ protocol, a timing sequence of the target audio data, and obtaining synchronized audio data; and transmitting, according to the configured audio distribution network, the synchronized audio data via WiFi or the BLE Auracast™ protocol to each audio device for playback.

The invention discloses a transverse intelligent deviation rectifying method and system in the mounting and advancing process of a large converter, and belongs to the technical field of deviation rectifying mechanisms. The transverse intelligent deviation rectifying system for the installation and advancing process of the large converter comprises a transverse intelligent deviation rectifying device, a speed detection module, a distance detection module and a control unit which are installed on a rail vehicle, the speed detection module and the distance detection module are respectively used for detecting the running speed of the rail vehicle and the transverse installation deviation distance of the converter on the rail vehicle and feeding back to the control unit, and the control unit is used for controlling the starting and stopping of the transverse intelligent deviation correction device, so that the transverse installation deviation correction of the converter is carried out. By the adoption of the technical scheme, the transverse deviation rectifying efficiency in the converter mounting and positioning advancing process can be effectively improved, the converter mounting and positioning precision can be guaranteed, and the safety in the deviation rectifying process is improved.

The invention relates to the technical field of water level monitoring, in particular to a distance detection method and system of a water level sensor, a medium and equipment. The scheme comprises the following steps: arranging a non-contact distance capacitance change detection structure; calculating the equivalent volume value of the cross-air water level; setting a reference capacitance value according to the change condition of the equivalent capacitance value; setting the change relation between the height change of water and the equivalent capacitance through linear fitting according to the reference capacitance value; according to the change relation between the water height change and the equivalent capacitance, the equivalent capacitance is collected in real time, and the water level height is obtained through calculation; and according to the water level height, displaying the currently acquired water level acquisition value in real time. According to the scheme, a water level non-contact measurement method and a calculation method are designed, and online water level detection and display are achieved.

The invention provides a single-station lightning three-dimensional positioning system and method. The positioning system mainly comprises a direction detection unit, a distance detection unit, a GNSS time service unit, a positioning unit and a three-dimensional image generation unit. A plurality of VHF antennas, an electric field antenna and a magnetic field antenna synchronously collect lightning signals, the lightning signals are converted into digital signals through analog-to-digital conversion, and GNSS time service marks timestamps and stores the timestamps. The direction detection unit detects the time difference from the lightning radiation source to the VHF antenna, performs angle and time difference conversion, and calculates the elevation angle and azimuth angle of the lightning radiation source. And the distance detection unit performs fast Fourier transform on the acquired electric field signal and magnetic field signal, fits a ratio curve constant A and a ratio curve constant B, and calculates the distance between the lightning radiation source and the observation station. And matching the azimuth angle, the elevation angle and the distance information marked with the same timestamp, positioning the position of an instant lightning radiation source, and matching all positioning results of a continuous lightning event one by one according to the same timestamp to obtain a lightning three-dimensional graph in the space model.

The invention belongs to the technical field of building measurement, and discloses a building distance measuring device and a use method thereof, and the method comprises the steps that a route planning module plans an optimal advancing route; automatically controlling a moving trolley distance measuring mechanism to carry out building distance measuring operation; the monitoring analysis mechanism receives environment sensor data; the image acquisition module continuously acquires building scene images; the image analysis module continuously detects whether an obstacle exists in the image; adjusting the distance measuring mechanism to a proper height and an accurate direction; the monitoring analysis mechanism obtains accurate distance data after correction calculation; during long-distance detection, data of the laser range finder and the ultrasonic range finder are combined, and an accurate distance value is obtained through fusion analysis of the comprehensive evaluation module. According to the invention, the monitoring analysis mechanism can correct and comprehensively analyze distance measurement data according to environmental parameters to obtain accurate distance data; and the comprehensive evaluation module fuses the laser ranging data and the ultrasonic ranging data, so that the long-distance detection precision is improved.

The invention relates to the technical field of agricultural intelligent equipment, in particular to a field sowing grain distance detection system and method based on computer vision, and the method comprises the steps that an image collection module collects 4KRGB and near-infrared data of a sowing area; the image processing module is used for processing and correcting the acquired image in real time; the grain distance feature deep learning analyzer strengthens seed feature extraction through an attention mechanism based on an improved YOLOv5 algorithm, accurately distinguishes weeds from seeds, and calculates a center distance deviation value of adjacent seeds based on a preset target grain distance; the positioning fusion module fuses Beidou positioning data and a visual odometer track, generates seed longitude and latitude and burial depth coordinates by using a high-precision farmland surface elevation model, and maps the seed longitude and latitude and burial depth coordinates to a farmland electronic map; and the dynamic regulation and control execution mechanism adjusts the rotating speed of the seeder or the seeding gap according to the grain distance deviation value and a priority strategy, and dynamically corrects the grain distance. Therefore, the problems of high detection error rate, single detection algorithm, poor data relevance and the like in the prior art are solved.

The embodiment of the invention provides a detection device and electronic equipment, relates to the technical field of health data detection, and is used for solving the problem of relatively low health detection data precision caused by complex organization structure of a to-be-detected part of a user. In the detection device, a first photoelectric converter is arranged between every two adjacent first light sources, and a second light source is located in a detection area defined by the multiple first light sources and the multiple first photoelectric converters. A first distance H1 and a second distance H2 are respectively arranged between the first light source and at least two of the first photoelectric converters. A third distance H3 and a fourth distance H4 are respectively arranged between the second light source and at least two of the first photoelectric converters. A first light source, a second light source and a first photoelectric converter are distributed in the distribution area of the detection device. A PPG module can be formed between each light source and the corresponding photoelectric converter, the distances between the light sources and the photoelectric converters are different, and the effective depth of the detected skin can be different.

Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

The embodiment of the invention provides a ship navigation track sensing method and system, electronic equipment and a storage medium, and belongs to the technical field of ship sensing enhancement. According to the method, first navigation tracks of multiple ships in a detectable range are obtained through a distance detection sensor to obtain a first data set, and second navigation tracks of the multiple ships are obtained through an automatic ship identification system to obtain a second data set; and then carrying out correlation analysis on the tracks of the first data set and the second data set based on a track point matching algorithm, and correspondingly removing the correlated first navigation track and second navigation track from the data sets according to a correlation result so as to reduce the subsequent calculation amount. The trajectory similarity between every two navigation trajectories in the first data set and the second data set is calculated, the first navigation trajectory and the second navigation trajectory which are matched with each other are determined according to the trajectory similarity, the first navigation trajectory which is matched with each other is corrected according to the second navigation trajectory, and therefore the accuracy of ship navigation trajectory detection is improved.

The invention belongs to the technical field of underwater small target object analysis and recognition methods, and particularly relates to a sound signal feature optimization method for underwater small target object analysis and recognition. Comprising the following steps: 1, acquiring and processing original data; 2, eliminating interference line spectrums, and intercepting and splicing by adopting a time window to obtain a time recombination sound signal; using range transformation to optimize signal amplitude characteristics; processing the sound signal by using an FIR digital high-pass filter; obtaining an optimized signal by using a homomorphic filter; 3, extracting structural features, energy features, frequency features and sound intensity features of the optimized digital signals; step 4, sound signal feature fusion: carrying out underwater target sound signal feature fusion processing based on a canonical correlation analysis method; the invention provides a method for extracting effective sound signal data of an underwater target under the background of optimizing a complex marine environment, enhancing signal effectiveness during long-distance detection, and constructing effective sound signal features capable of being used for classification and recognition of the underwater target at the same time.

The invention discloses chip appearance detection equipment which comprises a marble carrying table, a chip carrier supply device, a chip visual detection device, a chip carrier output line and a chip carrier turnover device, wherein the chip carrier supply device, the chip visual detection device, the chip carrier output line and the chip carrier turnover device are arranged on the marble carrying table; the chip carrier supply device comprises a chip carrier bearing mechanism; the chip visual detection device comprises a detection bearing mechanism and an image acquisition mechanism, the detection bearing mechanism comprises a horizontal carrying table and a reset detection part, the image acquisition mechanism comprises an image carrying seat and a position degree monitoring sensor, and the image carrying seat is provided with a macro camera shooting end; the macro camera shooting end is connected with a correction module which is in communication connection with the location degree monitoring sensor; the chip carrier turnover device comprises a turnover mechanical arm. The micro-chip appearance micro-distance detection requirement is met, the detection image quality is ensured through correction of the relative position degree of the machine position and the platform, defect detection and recognition are accurate and comprehensive, the detection precision maintaining period is long, and frequent manual calibration is not needed. And automatic operation is efficient and smooth.

The invention provides a wearable sight distance measurement method, and belongs to the field of visual depth extraction, the wearable sight distance measurement method comprises a pupil tracking algorithm and a sight distance measurement algorithm, the pupil tracking algorithm is used for tracking the pupil position state of a subject in real time, and performing preprocessing and Hough circle fitting on an eye image obtained by wearable eye movement video acquisition hardware; therefore, the pupil contour and the pupil center point of the subject are calibrated in real time; the sight distance measurement algorithm is based on data of a pupil tracking algorithm, the position of an eyeball center point is fitted through a center calibration algorithm, established data of an image sensor and eye parameters are combined to be imported into a visual depth model, so that sight distance measurement key information is obtained, and then the real-time visual depth of a subject is calculated through a distance measurement equation. According to the wearable sight distance measurement method, a wearable binocular sight distance detection algorithm system for multiple scenes is constructed, and accurate real-time data is provided for application scenes needing binocular sight distance.

The utility model relates to an anti-collision system of a bucket wheel machine, which can improve the working efficiency of the bucket wheel machine and ensure safe and stable operation of equipment. The anti-collision system of the bucket wheel machine comprises a running posture sensing module, an obstacle detection module, a bucket wheel machine distance detection module and a controller, wherein the running posture sensing module, the obstacle detection module and the bucket wheel machine distance detection module are all in communication connection with the controller; the running attitude sensing module, the obstacle detection module and the bucket wheel machine distance detection module are respectively arranged in a preset area of a bucket wheel machine to be detected; and the controller is arranged in the control room.

The invention provides a UWB-based hybrid scheduling method, apparatus and device, and a medium. The invention discloses a scheduling method applied to a main anchor point in a UWB communication system, belongs to the technical field of UWB communication, and solves the technical problems of poor overall performance and low operation efficiency of a scheduling method in the prior art, and the method comprises the steps: receiving and analyzing time sequence scheduling information, so as to obtain a distance measurement time period, a radar time period and a data time period of the main anchor point in a hybrid scheduling process; performing distance detection in the distance measurement time period to obtain first sub distance measurement data, and performing radar detection in the radar time period to obtain first sub radar detection data when the time sequence scheduling information comprises a radar enable signal of the main anchor point; receiving second sub-ranging data and second sub-radar detection data in the data period, and determining target ranging data and target radar detection data; and sending the target ranging data and the target radar detection data. The overall performance and the operation efficiency of the system are improved.

The invention provides a miniaturized coherent laser wind speed remote measuring instrument and an assembling method thereof.The miniaturized coherent laser wind speed remote measuring instrument comprises an integrated optical module, an optical driving module, a master control processing module and an amplifier, and the integrated optical module comprises a seed laser, a semiconductor optical amplifier and an optical chip; the optical chip adopts a laser radar photon chip and comprises a transmitting link and a receiving link, the transmitting link comprises a beam splitter and a pulse modulator, and an optical mixer and a balance detector are integrated on the receiving link; the integrated optical module is packaged through a photoelectric hybrid packaging technology; and the main control processing module is a high-speed signal acquisition processing module. Through high-density photoelectric hybrid integration, the coherent laser wind speed telemeter is small in size and light in weight, the weight does not exceed 2 kg, and long-distance detection can be guaranteed.

The invention relates to the technical field of target distance detection and 3D scanning reconstruction, and discloses a coaxial scanning type ultra-long distance detection laser radar system, which comprises a laser light source module, which adopts a 1550nm optical fiber laser to output high-power laser, and ensures sufficient laser energy and human eye safety; according to the invention, by adopting the high-power 1550nm fiber laser, the ultra-long distance detection is realized on the premise of ensuring the safety of human eyes, and the detection range of more than 10km can be reached, so that the limitation that the detection distance of the traditional laser radar is only 500m is broken; according to the invention, by selecting the 1550nm laser device which is safer to human eyes and greatly improving the laser power to kilowatt and even myriawatt levels, stronger echo signals are realized, so that the detection signal-to-noise ratio is remarkably improved; the micro-lens array is adopted to replace a traditional DOE diffractive optical element, efficient beam shaping of a one-dimensional or two-dimensional dot matrix is achieved through flexible regulation and control of the curvature radius and the distance of the micro-lenses, meanwhile, the manufacturing cost is reduced, and the design freedom degree is expanded.

The invention provides a tunnel crack image acquisition and detection device and method, and the device comprises a rail car which is provided with a distance detection mechanism; the image acquisition device comprises an image acquisition module and a steering adjustment module, the image acquisition module is mounted at the top of the rail car through the steering adjustment module, and the steering adjustment module is used for driving the image acquisition module to steer so as to adjust the orientation of the image acquisition module; the crack identification device is arranged at the front end of the image acquisition module and is used for identifying the crack and determining the position of the crack; and the control module is electrically connected with the steering adjustment module, the crack recognition device and the distance detection mechanism, and is used for controlling the steering adjustment module to drive the image acquisition module to steer after the crack is recognized, so that the image acquisition module is aligned with the crack position. The device provided by the invention is simple in structure and low in maintenance cost, does not need to configure a plurality of industrial cameras and lenses, and saves the system cost.

The utility model discloses a shield muck transporting device, and belongs to the technical field of conveying devices. The problems that in shield muck transportation in the prior art, muck receiving is difficult, labor is consumed due to cooperation of multiple persons, and environmental sanitation is seriously affected by muck falling are solved. The belt conveyor comprises a belt conveyor body, the belt conveyor body comprises a belt frame and a belt, a telescopic mechanism is arranged on the belt frame at the discharging end of the belt conveyor body, a residue soil temporary storage box with a feeding port in the top is connected to the telescopic mechanism, and a discharging port is formed in the bottom of the residue soil temporary storage box. A first distance detection mechanism used for detecting the downward vertical distance is arranged at the position, close to the discharging opening, of the bottom of the muck temporary storage box. The muck temporary storage box is driven to move through the telescopic mechanism, so that movement of the muck discharging port is achieved, the height of muck can be monitored, the muck temporary storage box is moved according to the height of the muck, and the effect of evenly feeding the muck is achieved.

The utility model discloses an airport construction beam pre-assembly axis control device which comprises a first construction beam to be assembled, a second construction beam to be assembled, a first positioning mechanism and a second positioning mechanism, and a top axis of the first construction beam is formed along a connecting line of midpoints of the front end and the rear end of the top of the first construction beam. A top axis of the second construction beam is formed along a connecting line of middle points of the front end and the rear end of the top of the second construction beam, and the first positioning mechanism and the second positioning mechanism are provided with a distance detection unit and a position detection unit which are matched with each other. Based on mathematical calculation and experimental verification, the utility model provides a technical scheme capable of solving the one-to-three positioning problem of the splicing form, and has the advantages of accurate positioning and high splicing efficiency.

The invention discloses an advertisement putting effect optimization method combining user groups and pre-putting, and relates to the technical field of advertisement calculation, and the method comprises the steps: obtaining a user behavior data stream in real time, detecting the user feature distribution drift through a Wasserstein distance, triggering an adversarial generative network to dynamically divide the user groups when the drift exceeds a drift judgment threshold, and obtaining a user behavior data stream; outputting a user group label and a user-group membership matrix; and collecting real-time conversion data after execution of the multi-objective optimization strategy, evaluating a user group offset degree and an anti-fact prediction error through a mahalanobis distance, and triggering grouping model reconstruction and causal model calibration. Through closed-loop optimization of dynamic grouping, anti-fact gain calculation, multi-target strategy cooperation and feedback calibration, the advertisement resource utilization rate and conversion rate are continuously improved, the user fatigue is effectively reduced, and the strategy iteration period is shortened to the minute level.

The invention discloses an available sight distance detection method considering the influence of disable sun glare. According to the method, the sight distance satisfaction rates of different positions in a road can be detected, a road model is constructed by moving laser radar scanning equipment to collect point clouds, observation points are extracted through radar scanning vehicle track points to simulate driver viewpoints, then sight lines are established to judge whether the sight lines are blocked or not, and the available sight distances of the different positions of the road are comprehensively detected. According to the method, accurate positioning of the glare position in the road and glare time prediction can be realized, specifically, the sun position is determined through the simulated light, the driver viewpoint is determined through the track point, and after the light incident driver visual recognition angle is calculated, light shielding is judged through the road model. According to the method, the sight distance attenuation rate model is constructed, compared with a subjective glare detection method, accurate analysis of the available sight distance of the driver under the disable glare condition is successfully achieved, the available sight distance is recalculated based on the available sight distance of the road and the glare position, the process is simple, and the result can be quantified.

The invention provides a track checking interval and back protection distance detection method, which comprises a positioning extraction step, a contour combination step, a track piece identification step, a checking interval acquisition step and a back protection distance acquisition step, according to the method, a predetermined detection position is automatically positioned through profile data collected by a high-precision line laser sensor and corresponding mileage data, profile data of the position are extracted, then the profile data of the multiple line laser sensors are combined, profiles of the heads of the multiple rail pieces are automatically recognized and extracted from combined profile lines, and the accuracy of detection is improved. Due to the fact that the arrangement of the rail pieces at the preset detection position is fixed, the profiles of the guard rail head, the guard rail pair side wing rail head and the point rail can be conveniently and rapidly obtained, then the accurate checking interval value and the back protection distance value are rapidly obtained based on profile analysis and calculation, operation is convenient, detection precision is high, the calculation amount is small, and the detection accuracy is high. And a detection result can be quickly obtained on a track detection site.

The invention discloses a millimeter-wave radar and vision fused vehicle three-dimensional detection method, which comprises the following steps of: performing space-time fusion on millimeter-wave radar data and a camera image to obtain corresponding pixel position information of an actual position of a vehicle in the image, and calculating vehicle three-dimensional frame information by utilizing a vision algorithm; and positioning to a target position according to a coordinate conversion algorithm, judging a target through a Rayleigh fusion algorithm, and drawing a three-dimensional mark at the position of the target to realize three-dimensional vehicle detection. The long-distance detection advantage of the millimeter wave radar and the fine visual perception capability of the camera are fully combined, the vehicle three-dimensional detection is stably, efficiently and accurately completed in a complex traffic environment, and the accuracy of an intelligent traffic perception algorithm is greatly improved.

The invention belongs to the technical field of automatic optical detection, and particularly discloses a focusing distance out-of-range pre-adjustment device and method and an automatic focusing system and method.The focusing distance out-of-range pre-adjustment device comprises distance detection equipment and a first controller which are electrically connected; the distance detection equipment is parallel to a target microscope objective, aligned with a to-be-detected object, in the automatic focusing device, and is used for detecting first height information of a to-be-detected area of the to-be-detected object and sending the first height information to the first controller; the first controller is used for judging whether a first height difference between the first height information and the first standard height information exceeds a preset focusing range of the target microscope objective or not; if yes, in the process that the to-be-detected area moves from the detection range of the distance detection equipment to the view center of the target microscope objective, the automatic focusing device and the distance detection equipment are controlled to synchronously carry out focusing coarse adjustment movement in advance along the Z axis based on the first height difference, and the over-range focusing condition of microscopic automatic focusing imaging is effectively handled.

The invention is suitable for the technical field of distance measurement, and provides a distance detection method and device for an underwater target, electronic equipment and a program product. The method is applied to a frequency-modulated continuous wave laser detection system, and a signal receiving end of the frequency-modulated continuous wave laser detection system comprises a two-dimensional matrix detector array composed of a plurality of single-photon avalanche photodiodes. The method comprises the following steps: transmitting a plurality of first laser signals with different frequencies to an underwater target through a signal transmitting end of a frequency-modulated continuous wave laser detection system; receiving second laser signals with different frequencies through a plurality of single-photon avalanche photodiodes; performing two-dimensional discrete synthesis processing on the second laser signals with different frequencies to obtain target echo signals; and determining the distance between the underwater target and the frequency-modulated continuous wave laser detection system according to the target echo signal. According to the frequency-modulated continuous wave laser detection system, a plurality of laser signals with different frequencies can be transmitted and received, so that the detection distance and the resolution ratio of an underwater target can be improved.

The invention discloses a vehicle accident detection method, a vehicle accident detection device, vehicle accident detection equipment and a storage medium. Obtaining a vehicle video in a time period when the distance between the moving object and the vehicle is within a preset threshold value, a time point when the distance between the moving object and the vehicle is shortest, and the distance; detecting a relative position area of the moving object and the vehicle at the target time point; determining a vehicle accident risk level according to the vibration condition of the vehicle and the target distance; acquiring an image of a moving object, performing feature extraction on the image, determining an object type of the moving object, and identifying object features of the moving object according to the object type; and obtaining a current parking place of the vehicle, generating a corresponding vehicle accident report, and sending the vehicle accident report and the target video to a corresponding client. According to the invention, the event backtracking efficiency of the vehicle owner when the accident occurs can be improved.