31results about How to "Automatic and accurate detection" patented technology

A wheel identifying apparatus according to the present invention includes a plurality of transceivers, a triggering device, a receiver, and a wheel identifier. Each of the transceivers is located on one of a plurality of wheels of a vehicle and works to receive a trigger signal and transmit a response signal in response to receipt of the trigger signal. The triggering device is located on a body of the vehicle at different distances from the transceivers and works to transmit the trigger signal. The receiver works to receive the response signals transmitted by the transceivers. The wheel identifier is operatively connected to the receiver and works to identify, for each of the response signals received by the receiver, the wheel on which the transceiver having transmitted the response signal is located using the fact that strengths of the trigger signal at the transceivers are different from each other.

The embodiment of the invention discloses a dangerous road condition reminding method and device, a vehicle-mounted terminal, a server and a medium. The method applied to a vehicle-mounted terminal comprises: identifying a surrounding road image of a vehicle by using an image recognition technology to obtain obstacle information; determining whether any dangerous road condition exists around the vehicle by combining obstacle information and vehicle driving data collected in real time; if so, generating a dangerous road condition reminding message according to the obstacle information and the dangerous road condition location information and uploading the message to a server; and determining at least one prompting object by the server based on the dangerous road condition reminding messageand issuing the dangerous road condition reminding message to all reminded objects to carry out dangerous road condition reminding. Therefore, the obstacle information on the road can be obtained timely, the existence of the dangerous road condition can be detected automatically and accurately, and the dangerous road condition reminding message is uploaded to the server and the server warns the vehicle timely, so that the probability of traffic accidents and congestion occurrence is reduced.

The invention discloses a method for adjusting the direction of equipment according to the wind direction. The method comprises the steps of detecting the wind direction by means of an accelerometer; and adjusting the direction of equipment according to the detected wind direction. Accordingly, the invention also discloses a device for adjusting the direction of equipment according to the wind direction. According to the technical scheme of the invention, the wind direction is automatically detected in real time, and then the direction of equipment can be dynamically adjusted.

The invention relates to a testing device for an undervoltage tripper, which comprises a programmable power supply with maximal output voltage being no less than square root of 2 times of rated working voltage U of the undervoltage tripper, a force measuring device and a computer; the computer is connected with the programmable power supply, and used for sending out a control signal of the programmable power supply and receiving a voltage signal of the programmable power supply; the programmable power supply is connected with a coil for an undervoltage tripper to be tested; the detection signal output terminal of the force measuring device used for detecting the tripping force of the undervoltage tripper to be tested is connected with the computer; a tripping force measuring part of the force measuring device is arranged oppositely to an armature for the undervoltage tripper to be tested. The force of releasing tripping can be detected during the process of detecting the power-on or power-off response time and the pull-in or release drop-away voltage of the undervoltage tripper, and the testing device can automatically finish measuring all parameters of the undervoltage tripper without manual intervention, therefore, the large-scale mass detection can be carried out.

The invention discloses a cloud layer detection and classification method based on multi-cloud-layer features, and the method comprises the steps: calculating the color, texture and shape feature quantities of a cloud picture, and building a cloud picture feature space; carrying out cloud layer pixel and sky pixel division on the shot current cloud picture by utilizing the optimal normalized red-blue ratio threshold value, and searching an optimal segmentation threshold value position on the normalized red-blue ratio histogram by adopting a minimum cross entropy method; and performing KNN classification on the currently photographed cloud picture according to the cloud picture feature space to obtain the type of the cloud layer to be shielded from the sun. According to the method, the cloud layer can be automatically and accurately detected based on the RGB characteristics of the cloud picture, the cloud layer characteristics are comprehensively extracted, and efficient and accurate judgment of the cloud layer type is achieved.

An image processing chip test method comprising: controlling a power supply circuit to provide a first operating voltage to an image processing chip comprising a storage device; and when reading written first image data from the storage device, the test device receives a first error detection code corresponding to the first image data and determines whether the first error detection code means an error occurs. If an error occurs, record the first operating voltage as an erroneous operating voltage, and if the error does not occur, provide a second operating voltage to the image processing chip. Also, when the written second image data is read from the storage device, the test device receives a second error detection code corresponding to the second image data and determines whether the second error detection code means an error occurs.

The embodiment of the invention discloses a vehicle parameter detection method and system and a storage medium. The method comprises the following steps of determining position coordinates of radar data in a target coordinate system according to the radar data of at least two laser radars for scanning a vehicle in a driving process, wherein the at least two laser radars are arranged in a staggered manner along two sides of a vehicle driving road, extracting a wheel point cloud according to the position coordinates of the radar data in the target coordinate system, and determining current vehicle parameters of the vehicle according to the position coordinates of the wheel point cloud in the target coordinate system. According to the technical scheme, automatic and accurate vehicle parameter detection can be achieved, the detection cost is reduced, the detection efficiency is improved, and a new thought is provided for vehicle parameter detection.

The invention discloses defect detection equipment and a production line, and belongs to the technical field of honeycomb ceramic carriers. An acquisition detection unit of the defect detection equipment comprises a central objective table, a first detection module and a rotation detection module. The first detection module is arranged over the central objective table, faces the central objective table and is used for detecting the position information of the outer contour of a to-be-detected workpiece, and a second detection module is configured to perform surrounding detection around the to-be-detected workpiece along with the XY plane moving mechanism. Meanwhile, the detection device rotates and always faces the side face of the workpiece to be detected, so that the side face of the honeycomb ceramic carrier is automatically and accurately detected, the labor intensity of workers is reduced, and batch production of the honeycomb ceramic carrier is facilitated.

The invention relates to a testing device for an undervoltage tripper, which comprises a programmable power supply with maximal output voltage being no less than square root of 2 times of rated working voltage U of the undervoltage tripper, a force measuring device and a computer; the computer is connected with the programmable power supply, and used for sending out a control signal of the programmable power supply and receiving a voltage signal of the programmable power supply; the programmable power supply is connected with a coil for an undervoltage tripper to be tested; the detection signal output terminal of the force measuring device used for detecting the tripping force of the undervoltage tripper to be tested is connected with the computer; a tripping force measuring part of the force measuring device is arranged oppositely to an armature for the undervoltage tripper to be tested. The force of releasing tripping can be detected during the process of detecting the power-on or power-off response time and the pull-in or release drop-away voltage of the undervoltage tripper, and the testing device can automatically finish measuring all parameters of the undervoltage tripper without manual intervention, therefore, the large-scale mass detection can be carried out.

The invention relates to the technical field of optical fiber signal detection, and concretely relates to strong magnetic field transmission performance detection equipment for optical fibers. The equipment comprises: a rack; a stretching driving mechanism horizontally arranged on the rack; two sets of optical fiber clamping mechanisms arranged at the two output ends of the stretching driving mechanism respectively; two sets of end push-out mechanisms respectively arranged on two output ends of the stretching driving mechanism, and located between the output end of the stretching driving mechanism and the optical fiber clamping mechanisms; an electric signal connection mechanism; a magnetic field generating device; and two sets of magnetic field displacement driving mechanisms arranged on the two sides of the stretching driving mechanism correspondingly. The strong magnetic field transmission performance detection equipment for the optical fibers can stretch the installed optical fibers automatically, and the relationship between the magnetic field and the optical fiber signal transmission performance under different conditions can be comprehensively reflected.

Embodiments of the present invention provide a tire pressure detection method and a computer storage medium. Wherein, the method includes: performing a feature extraction operation on the wheel and tire image to be detected to obtain tire feature data of the wheel and tire image; based on the first feature data included in the tire feature data, performing Preliminary judgment, obtain the preliminary judgment result of the tire pressure of the wheel tire; if the tire pressure of the wheel tire is determined to be normal based on the preliminary judgment result, then based on the second feature data included in the tire feature data, the tire pressure of the wheel tire in the wheel tire image Prediction is performed to obtain a prediction result of the tire pressure of the wheel and tire; based on the prediction result of the tire pressure of the wheel and tire, the tire pressure of the wheel and tire in the image of the wheel and tire is re-judged to obtain a re-judgment result of the tire pressure of the wheel and tire. This embodiment can automatically detect the tire pressure, thereby reducing the possibility of accidents when the vehicle is running at low speed and high speed.

The invention discloses a self-compensation adjusting mechanism and method for new energy battery module welding, the self-compensation adjusting mechanism comprises a workbench and a welding gun mechanism with one side provided with a measuring seat, and the workbench is slidably connected with a supporting plate used for supporting the welding gun mechanism in the connecting line direction of the two sides of the welding gun mechanism; one side of the measuring seat is provided with a through groove for fixedly placing three sides of a to-be-measured battery and the end of one side of the to-be-measured battery, the other side of the measuring seat is fixedly connected with one side of the supporting plate, the other side of the welding gun mechanism is provided with an elastic reset mechanism for buffering or resetting the supporting plate, and the elastic reset mechanism is installed at the upper end of the workbench. The workbench is provided with an adjusting driving assembly for pushing the other side end of the battery to be detected to translate towards the direction of the elastic reset mechanism, and the rear end of the welding gun mechanism is provided with a clamping assembly for preventing the supporting plate from sliding; the function of automatically and accurately detecting the width difference value of the battery to be welded and the function of automatically adjusting the position of the welding gun according to the width difference value are integrated, and the welding gun mechanism has the advantages of being high in positioning accuracy, simple in structure and low in cost.

The invention relates to the technical field of batteries, in particular to a pole piece turnover detection method and device, detection equipment and a storage medium, and the pole piece turnover detection method of a battery cell pole group comprises the following steps: collecting an actual pole piece image of the battery cell pole group; inputting the actual pole piece image into a pre-trained pole piece turnover prediction model to obtain a plurality of initial prediction frames in the actual pole piece image, and determining a final prediction frame corresponding to each pole piece of the battery cell pole group according to the non-maximum suppression score of each initial prediction frame; and calculating the confidence value of the final prediction frame corresponding to each pole piece, identifying the category of the final prediction frame corresponding to each pole piece, and detecting a folded pole piece in the battery cell pole group when the confidence value is greater than or equal to a preset threshold value and the category is a folded category. The method can automatically and accurately detect the folded pole piece in the battery cell pole group, improves the detection efficiency, reduces the detection cost, and improves the overall quality of a product.

A photochromic film optical performance on-line detection method comprises the following steps: using a conveyor belt to convey a polyester film, irradiating on the upper side of the conveyor belt and collecting a color-changing image, fading on the lower side of the conveyor belt and collecting a fading image, and sending the image to an image identification model for discrimination. Therefore, the area with the optical performance not meeting the requirement in the polyester film is marked on line. The method is convenient to operate, high in precision and high in detection speed, and can meet harsh requirements of online detection of a production line.

The invention relates to a system for automatically testing parameters of an under-voltage trip unit. The system comprises a programmable power supply, a force detection device and a computer, wherein the computer is connected with the programmable power supply and is used for transmitting a control signal of the programmable power supply and receiving a voltage signal of the programmable power supply; the programmable power supply is connected with a coil of an under-voltage trip unit to be detected; a detection signal output end of the force detection device which is used for detecting trip force of the under-voltage trip unit to be detected is connected with the computer; a trip force testing part of the force detection device is arranged opposite to an armature of the trip unit to be detected; and a detection device for detecting the suction state or the release state of the armature of the under-voltage trip unit to be detected is arranged at the armature of the under-voltage trip unit to be detected. By the system, the released trip force can be detected while the power acquisition or power loss response time and the suction or release trip voltage of the under-voltage trip unit are detected; and by the device, all the parameters of the under-voltage trip unit can be automatically measured without manual interference, so that the testing parameters can be detected on a large scale in batches.

An image processing method to sample the image to generate patches. Feature vectors are extracted from the patches, and the extracted feature vectors are partitioned into clusters, where feature vectors in the same cluster share a common characteristic. A portion of interest in the image is segmented. An aggregate bounding region creation process is carried out by finding the largest segment and creating a bounding box around it; determining which cluster contains the most patches within the bounding box of the segment; and adding the patches of the determined cluster to an aggregate bounding region for the portion of interest. The aggregate bounding region creation process is repeated for each other segment in order of size. The resulting aggregate bounding region contains all the patches associated with the portion of interest. The patches which fall outside the resulting aggregate bounding region are then removed from the image.

The embodiment of the invention provides a tire pressure detection method and a computer storage medium. The method comprises the following steps: performing feature extraction operation on a to-be-detected wheel tire image to obtain tire feature data of the wheel tire image; preliminarily judging the tire pressure of the wheel tire in the wheel tire image based on first characteristic data included in the tire characteristic data to obtain a preliminary judgment result of the tire pressure of the wheel tire; if it is determined that the tire pressure of the wheel tire is normal based on the preliminary judgment result, predicting the tire pressure of the wheel tire in the wheel tire image based on second feature data included in the tire feature data to obtain a prediction result of the tire pressure of the wheel tire; and on the basis of the prediction result of the tire pressure of the wheel tire, re-determining the tire pressure of the wheel tire in the wheel tire image to obtain a re-determination result of the tire pressure of the wheel tire. According to the embodiment, the tire pressure can be automatically detected, so the possibility of accidents in the low-speed and high-speed driving process of the vehicle is reduced.

The invention discloses a railway engineering detection method and system based on an unmanned aerial vehicle inspection video. The method includes: detecting the inspection video frame by frame based on a target detection algorithm and obtaining a plurality of target detection frames including target structures; The target tracking algorithm tracks each target detection frame and obtains the target trajectory of each target structure; determines the estimated coordinates of each target structure according to the frame data of each trajectory frame in each target trajectory; The design data of each target structure in the inspection video determines the positioning information of each target structure in the inspection video; among them, the inspection video is based on the video of the whole or part of the predetermined railway line shot by the drone, and the frame data includes unmanned The position data of the drone and the attitude data of the camera can be used to automatically and accurately detect the target structures on the railway line from the drone inspection video, thereby improving the efficiency of railway construction inspections.

The invention discloses a railway engineering detection method and system based on an unmanned aerial vehicle inspection video. The method comprises the following steps: performing frame-by-frame detection on the inspection video based on a target detection algorithm, and obtaining a plurality of target detection frames comprising target structures; tracking each target detection frame based on a target tracking algorithm and acquiring a target trajectory of each target structure; according to the frame data of each trajectory frame in each target trajectory, determining an estimated coordinate of each target structure; determining the positioning information of each target structure appearing in the inspection video according to each estimation coordinate and the design data of each target structure in the railway line design drawing; wherein the inspection video is a video obtained after the unmanned aerial vehicle shoots the whole or part of the predetermined railway line, and the frame data comprises the position data of the unmanned aerial vehicle and the attitude data of the camera, so that the target structure on the railway line can be automatically and accurately detected from the inspection video of the unmanned aerial vehicle, and the efficiency of railway construction inspection is improved.

The present invention relates to the technical field of optical fiber signal detection, in particular to a high-magnetic field transmission performance testing device for optical fibers, which includes: a frame; a stretching drive mechanism, which is horizontally arranged on the frame; Two sets of optical fiber clamping mechanisms are respectively set on the two output ends of the stretching drive mechanism; there are two sets of end push-out mechanisms, and two sets of optical fiber clamping mechanisms are respectively set on the two output ends of the stretching drive mechanism On the top, the terminal push-out mechanism is located between the output end of the stretching drive mechanism and the optical fiber clamping mechanism; the electrical signal connection mechanism; the magnetic field generating device; On both sides of the stretching drive mechanism, a strong magnetic field transmission performance testing device for optical fibers shown in the present invention can automatically stretch the installed optical fiber, and can comprehensively reflect the difference between the magnetic field and optical fiber signal transmission performance under different conditions. relationship between.

The invention relates to a system for automatically testing parameters of an under-voltage trip unit. The system comprises a programmable power supply, a force detection device and a computer, wherein the computer is connected with the programmable power supply and is used for transmitting a control signal of the programmable power supply and receiving a voltage signal of the programmable power supply; the programmable power supply is connected with a coil of an under-voltage trip unit to be detected; a detection signal output end of the force detection device which is used for detecting trip force of the under-voltage trip unit to be detected is connected with the computer; a trip force testing part of the force detection device is arranged opposite to an armature of the trip unit to be detected; and a detection device for detecting the suction state or the release state of the armature of the under-voltage trip unit to be detected is arranged at the armature of the under-voltage trip unit to be detected. By the system, the released trip force can be detected while the power acquisition or power loss response time and the suction or release trip voltage of the under-voltage trip unit are detected; and by the device, all the parameters of the under-voltage trip unit can be automatically measured without manual interference, so that the testing parameters can be detected on a large scale in batches.

The invention discloses a device and method for searching for a loop channeling electric fault in direct current systems. The device comprises an insulation monitoring device, wherein the insulation monitoring device comprises a processer, a bus connection interface, an axle type resistance control circuit, an adjustable resistance control circuit and a current transformer. The method includes the steps that according to the difference between the voltage to ground of the positive electrode of the first direct current system and the voltage to ground of the positive electrode of the second direct current system, and therefore whether the loop channeling electric fault exists between the two direct current systems or not is judged; when the loop channeling electric fault exists between the two direct current systems, an adjustable resistor is connected in according to the voltages to ground of the positive electrodes and the negative electrodes of the direct current systems, and the resistance value of the adjustable resistor is adjusted; current data acquisition is conducted on the current transformer connected to a feeder wire, and the feeder wire where the loop channeling electric fault occurs is positioned according to the preset change rules and the change rules of the obtained current data. By means of the device and method, the loop channeling electric fault can be found and positioned rapidly, accurately and safely. The device and method can be widely applied to the field of electric systems.

The invention relates to the technical field of manipulators and discloses a high-end equipment manufactured three-degree-of-freedom manipulator auxiliary positioning device comprising a shell. Buttons are fixedly connected outside the shell; an outlet is formed in the surface of the shell; a mounting plate is fixedly connected outside the shell; and detection sleeves are fixedly connected outside the mounting plate. Through the interaction of the shell, the buttons, the outlet, the mounting plate, the detection sleeves, a connecting plate, a rotating wheel, a moving block, a limiting block, sliding rods, an adapter block, sliding rails, a closed shell, movable rods, touch plates, bearing plates, positioning plates, a photosensitive assembly and a detection assembly, the practicability of the manipulator can be further improved; and meanwhile, the influence on the actual use of the manipulator caused by the experience level of operators on the mounting and debugging of the manipulator can be effectively reduced, so that the working efficiency and quality of the manipulator are effectively improved, and the later maintenance and use cost of the manipulator can be greatly reduced.

The invention belongs to the field of mask detection, and relates to a mask ear strap detection system. The mask ear strap detection system comprises a shell, a third rotating shaft is arranged at the upper end of the shell, a horizontal position control device is arranged on the third rotating shaft, the horizontal position control device is used for controlling the position of an equipment working mechanism in the horizontal direction, a first sliding block cavity is formed in the shell, roller cavities are formed in the shell, a vertical position control device is arranged in the first sliding block cavity and the roller cavities, and the vertical position control device is used for changing the position of the working mechanism in the vertical direction. After masks are produced and manufactured, the mounting firmness degree of mask ear straps is automatically detected, the masks can be automatically discharged to a corresponding follow-up treatment device according to the detection result of qualified or unqualified ear straps, the detection result of the mounting firmness degree of the mask ear straps is accurate, and the masks cannot be damaged.

The invention discloses a plant nematode detection method and system based on deep learning and multi-feature combination. The present invention uses the first deep learning neural network to extract the key features of plant nematodes, and respectively detects the key characteristic regions such as the head, female tail, and male tail of the plant nematodes; and uses the second deep learning neural network as the identification and detection network to achieve Single-feature detection, dual-feature joint detection and three-feature joint detection have high detection accuracy. Finally, a humanized nematode detection interface is designed, and an intelligent nematode detection system is completed. The nematode detection and identification scheme can be selected according to the degree of difficulty in distinguishing nematodes. The invention adds a mechanism for effectively extracting key features, and a method for multi-feature joint classification. The invention can accurately detect plant nematode data with small key feature points and are difficult to distinguish, and utilizes multi-feature combination to realize hierarchical detection of pine wood nematodes and pine wood nematodes.