1009 results about "Distance detection" patented technology

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.

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 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.

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 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 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 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 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 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 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.

The invention provides an on-line width measuring device and method for a plate blank. The device comprises a roller way; the distance detection modules are arranged on the two sides of the roller way in the width direction and used for detecting distance data between the plate blanks on the roller way and the distance detection modules; and the information processing module is used for calculating the width of the slab according to the distance data. A plate blank is conveyed through a roller way, distance detection modules arranged on the two sides of the roller way in the width direction collect plate blank distance data in a non-contact mode, the collected distance data are sent to an information processing module, the information processing module analyzes and calculates the collected plate blank distance data, and therefore the width of the plate blank is obtained. According to the technical scheme, manual intervention is not needed in the whole online slab width measurement process, and the risk that personnel are scalded by high-temperature slabs can be effectively avoided; moreover, through the combined algorithm processing of the distance detection module and the information processing module, the manual measurement error can be effectively eliminated, and the online detection precision of the slab width is effectively improved.

The invention discloses an anti-collision safety control system using ultrasonic ranging, which is applied to an aerial work platform, the aerial work platform is provided with a first controller and a second controller, and the first controller and the second controller are in communication connection; the second controller drives the assembly to work according to the motion control instruction of the first controller so as to drive the aerial work platform to move; the safety control system comprises an ultrasonic ranging module used for detecting the distance between the aerial work platform and an obstacle to obtain a distance detection result. The third controller is in communication connection between the first controller and the second controller, and the third controller is used for generating a control signal according to the distance detection result and selectively transmitting the motion control instruction output by the first controller in an unvarnished mode or enabling the second controller to drive the aerial work platform to stop moving. Collision accidents can be conveniently and efficiently avoided.

A transmitting apparatus, a detection apparatus, and a terminal are provided, and are used in the field of optical devices and detection technologies. An example transmitting apparatus includes a first transmitter and a second transmitter. The first transmitter is configured to transmit a first light beam. The second transmitter is configured to transmit a second light beam. A longest detection distance of the first light beam is shorter than a longest detection distance of the second light beam. The second light beam has a long longest detection distance, and is applicable to long-distance detection. The first light beam has a short longest detection distance, and may be used for short-distance detection. The second transmitter transmits the second light beam, so that a blind area formed during long-distance detection can be detected. The first transmitter and the second transmitter work in a time division manner.

The invention relates to the technical field of information security, and discloses a Minkowski distance-based federated learning backdoor defense method, which comprises the following steps of S1, constructing a federated learning adaptive backdoor defense framework based on sparse training and Minkowski distance detection, and acquiring image data from an image public data set; adding a backdoor trigger to the image data to obtain poisoning image data injected into a backdoor, and dividing an image data set and a normal image data set into a training set, a verification set and a test set; according to the Minkowski distance-based federated learning backdoor defense method, the training burden of a client model is reduced by using a sparse training mode, the transmission pressure of excessive model parameters between the server and the client is relieved, the score is updated by using the Minkowski distance-based model, and the defensive performance of the model is improved. And possible malicious model updating is eliminated, so that backdoor attacks are effectively relieved.

The utility model relates to a 2D galvanometer cutting observation platform which comprises a galvanometer distance measuring assembly, a lifting driving mechanism used for driving the galvanometer distance measuring assembly to do lifting motion, a positioning platform used for positioning a machined part and a camera assembly used for monitoring the cutting state. The galvanometer distance measuring assembly is installed on the fixing plate, the lifting driving mechanism is located on one side of the positioning platform, the galvanometer distance measuring assembly is located above the positioning platform, and the camera assembly is installed on the positioning platform. The galvanometer distance measuring assembly comprises an installation plate, a galvanometer assembly used for scanning the cutting position of a machined part and a distance measuring sensor used for measuring the height of the galvanometer assembly, and the distance measuring sensor and the galvanometer assembly are installed on the installation plate. According to the 2D galvanometer cutting observation platform, real-time monitoring of the machined part is achieved, distance detection of the galvanometer assembly is achieved, and the cutting accuracy of the machined part is guaranteed.

The invention discloses a tracking shooting method based on an infrared thermal imaging system, and relates to the technical field of infrared thermal imaging, and the method comprises the steps: S1, obtaining a visible light image and a thermal infrared image of the same shooting scene, determining whether a human body exists in the thermal infrared image through a control unit, and marking the determined human body as a pre-following target when the human body exists; s2, the control unit performs distance detection on the pre-following target according to the visible light image and the thermal infrared image, and after distance detection, the control unit controls a lens electric control focusing module to focus the pre-following target to obtain a clear image of the pre-following target; s3, determining whether a pre-following target is a set following target from the clear image obtained in the step S2; if yes, turning to step S4; if not, turning to step S5; s4, the control unit controls the lens electric control focusing module to keep focusing shooting of the set following target; s5, focusing to a set focal length, and continuing to operate the step S1; accurate tracking shooting can be carried out on a specified crowd or a specified target.

The invention relates to the field of component generation, and discloses a grid component generation method and device with a visual interface and a storage medium. The method comprises the steps that gridding processing is conducted on an interface according to preset grid parameters, and the interface with N grid units is obtained; reading coordinate data of the dragging component; traversing and selecting a target grid unit from the N grid units; calculating a horizontal and longitudinal difference value between the coordinate data and the target grid unit to obtain a horizontal coordinate difference value and a longitudinal coordinate difference value; judging whether components of occupied grid units exist in the target grid units or not; if not, performing distance detection processing on the target grid unit to generate an effective grid unit; after the N grid units are traversed, size constraint alignment processing is carried out on the dragged component according to the effective grid units, and a visual component adsorbing the grid units is generated. In the embodiment of the invention, the difference between actual effects of Web preview and applets is reduced, and the efficiency and precision of layout design are improved.

The invention discloses a mortar spraying device and a control method, the mortar spraying device comprises a base frame, a displacement driving module, a mortar spraying assembly, a smearing plate, a distance detection module and a control module, the displacement driving module is arranged on the base frame, and the mortar spraying assembly is arranged on the displacement driving module; the displacement driving module can drive the mortar spraying assembly to move in the up-down direction, the front-back direction and the left-right direction, the smearing plate is used for smearing mortar and arranged on the displacement driving module, and the displacement driving module can drive the smearing plate to move in the up-down direction, the front-back direction and the left-right direction. The distance detection module is arranged on the displacement driving module, the distance detection module is used for detecting distance information between the distance detection module and the wall body, and the control module is connected with the distance detection module and the displacement driving module so as to control the displacement driving module to operate according to the distance information. The labor cost is reduced.

The invention provides a robot positioning method, system and equipment based on the SLAM technology, and relates to the technical field of navigation and localization. Based on a grid map constructed by the SLAM, a path point sequence is generated through a grid partitioning method, the curvature of each path point is calculated through a differential geometry method, a plurality of continuous path segments lower than a threshold value are judged as straight line segment areas, and the linear segment areas are determined as straight line segment areas; in the straight line section area, when the transverse distance is lower than a preset wall distance detection threshold value for the first time, it is judged that a wall side state is entered, a first beacon point is generated, and if the material feature similarity is lower than a preset change judgment threshold value during the duration of the wall side state, material change is immediately judged, and a second beacon point is generated; and if the material change is not judged and the current obstacle distance is lower than the preset forward threshold value for the first time, generating a second beacon point, calculating a course angle and a speed deviation based on data between the beacon points, constructing a process model and a geometric observation constraint, and updating an SLAM positioning result through a Kalman filtering algorithm.

The invention relates to the technical field of welding, in particular to a spacing adjustment working frame for steel structure profile welding, which comprises a base, a working box, a touch screen, a moving mechanism, a placing table, a limiting mechanism and a plumb aligner, the working box is mounted on the upper end face of the base, the touch screen is arranged on the side end face of the working box, and the moving mechanism is arranged in an inner cavity of the touch screen; a limiting mechanism is arranged on the inner side of each placing table; a plumb aligner is arranged at the edge of the upper end surface of the working box; a through groove is dug in the upper end surface of the working box; a distance detection mechanism is arranged on the opposite surface of each placing table; through the structure, the to-be-welded part is rapidly limited and positioned, the device can adapt to profiles of different types and sizes, the problem of poor adaptability is avoided, the vertical angle of the to-be-welded part is detected through the plumb aligner, and the accuracy of a welding path is improved.

The embodiment of the invention provides a distance detection device, an imaging system and electronic equipment, and the device comprises a signal transmitting module and a signal receiving module, the signal transmitting module is used for transmitting light to a target object, and the signal receiving module is used for receiving reflected light reflected by the target object. And determining the position of the target object according to the transmission time of the emitted light and the reflected light. The signal transmitting module comprises a light source and a first zooming assembly, the light source and the first zooming assembly are arranged at a preset interval, the light source is used for transmitting light, a light-transmitting medium is arranged in the first zooming assembly, and the first zooming assembly is used for controlling the light-transmitting medium to rotate by a preset angle so as to transmit the received light to a target object at a preset field angle. The zoom effect can be effectively achieved by controlling rotation of the light-transmitting medium, and meanwhile the light can be controlled to be emitted to the target object at the preset field angle for distance detection.

The invention discloses a seeding grain distance detection system and a grain distance detection method thereof, electronic equipment and a storage medium, the system is applied to corn seeding machinery, and the system comprises a main control device and a sensor module connected with the main control device. The sensor module is mounted at the rear upper part of an outlet of a seed guide pipe of each furrow opener seed guide pipe assembly of the corn seeding machine, and is used for transmitting an optical signal into a seeding furrow, collecting a reflected signal reflected by the seeding furrow and outputting a voltage signal based on the reflected signal; and the main control device is used for processing the voltage signal based on a neural network detection model to realize seed identification so as to obtain the seeding grain distance. According to the scheme, the positions of the seeds in the seeding furrows are detected, and the grain distance is calculated, so that the positions of the seeds are not changed any more, and the obtained seeding grain distance is accurate and effective.

The present invention provides a method and system for underwater target detection based on microwave surface vibration sensing, comprising the following steps: Step S1: Using a carrier platform to drive a microwave transceiver to sense surface vibrations and extract surface vibration information generated by underwater target acoustic excitation; Step S2: Eliminating wave motion information and carrier platform motion information; Step S3: Analyzing the surface vibration information generated by underwater target acoustic excitation to locate the target water area; and Step S4: Detecting and locating the target and calculating its depth. The present invention proposes a method and system for underwater target detection based on microwave surface vibration sensing. The method utilizes a carrier platform equipped with a microwave transceiver to identify and locate underwater targets by extracting surface vibration information. This method addresses the difficulties encountered by existing underwater target detection methods in achieving maneuverable detection, long-distance detection, and accurate target positioning. It also overcomes the high power and bulk of existing active sonar systems and the heavy reliance of passive sonar on advanced materials and processes.

The utility model provides an airing height self-adaptive system and a clothes airing machine, and relates to the technical field of airing. The airing height self-adaption system is applied to the clothes airing machine and comprises a main control module arranged in a main machine of the clothes airing machine and a distance detection module arranged on an airing rod of the clothes airing machine. The distance detection module is in communication connection with the main control module, and is used for detecting existence of a detection object within a preset distance from the airing rod to a preset direction and sending a detection result to the main control module; and the main control module is used for controlling the airing rod to stop lifting through a power system of the clothes airing machine according to the received detection result. According to the system, the distance detection module connected with the main control module is arranged, the airing rod of the clothes airing machine can stay at the airing height matched with the height of a detected object on the basis of the structure and line structure, airing height self-adaption of a user of the clothes airing machine is achieved, and the intelligent degree of the clothes airing machine is remarkably improved.

The invention discloses an urban road cantilever type signboard reflective film retroreflection coefficient detection method, which comprises an unmanned aerial vehicle, an optical detection system and an embedded data processing system, and is characterized in that the optical detection system comprises a light emitting unit, a light receiving unit, a laser ranging unit and a temperature, humidity and illumination sensor unit. By arranging the unmanned aerial vehicle system, the problems that a traditional detection method depends on manual close-range detection and is low in efficiency, high in risk and poor in economical efficiency are solved; the detection precision is improved through matching of light sources with different wave bands and reflective films with different colors; through long-distance detection of the unmanned aerial vehicle platform, the effective area of the detection signboard can be increased, the detection area is expanded from points to surfaces, detection data are more representative, and repeated detection can be realized according to images; the light intensity sensor, the temperature sensor and the humidity sensor are arranged to collect real-time data during detection, and environment compensation is performed on an algorithm, so that the detection result is more accurate and more conforms to the intelligent traffic development trend.

The invention relates to the technical field of garment fabric thickness detection, in particular to a fabric thickness detection device. Comprising a supporting roller and a detection roller, fabric to be detected is tensioned in the direction of the supporting roller and passes between the supporting roller and the detection roller, a photographing detection module is arranged on the front side of the supporting roller, and the photographing detection module comprises an image sensor; the detection roller is used for coating the upper surface of a to-be-detected fabric with a colored material, the coloring condition of the to-be-detected fabric is photographed and compared through the photographing detection module, whether the thickness of the to-be-detected fabric is uniform or not is judged, a plurality of detection needles and distance sensors are arranged in the detection roller, and the detection needles can stretch out towards the concave position of the to-be-detected fabric. The distance sensor is used for detecting the extension distance of the detection needle. And the detection needle can extend out of the concave position of the fabric to be detected. The thickness uniformity condition of the whole fabric can be detected, the sinking and protruding conditions of the fabric can be conveniently and rapidly detected, and the control efficiency of the fabric quality is improved.