2515results about How to "Implement automatic detection" patented technology

The invention discloses a binocular vision navigation system based on an inspection robot in a transformer substation. The binocular vision navigation system comprises a robot body, an image collecting system, a network transmission system, a vision analysis system, a route planning system and a robot control system, wherein the image collecting system is arranged in front of the robot body and used for collecting environmental information images of a forwarding road and then uploads the environmental information images to the vision analysis system on the basis of the network transmission system; the vision analysis system detects a barrier in the road area of the transformer substation according to binocular image information collected by the image collecting system and inside and outside parameters of a camera; the route planning system plans a route according to environment information detected by the vision system and timely adjusts the walking routes of the robot, so that the robot can be prevented from being collided with the barrier; and the robot control system controls moving of the robot body according to the route planned by the route planning system. The invention simultaneously discloses a vision navigation method. By means of the system and the method, the self-adaptation ability of the robot to the environment is improved, the autonomous navigation function of the electric robot is really realized in the complicated outdoor environment, and the flexibility and the safety of the robot are improved.

The invention discloses a binocular vision navigation system based on a power robot. The binocular vision navigation system comprises an image collecting system, a vision analysis system and a path planning system, wherein the image collecting system is used for controlling a camera through collecting software to collect environment images on a forward road of the robot, and then transmitting the collected images to the vision analysis system in a wired mode, the vision analysis system is used for detecting barriers according to the binocular image information and camera inner-outer parameter information and transmitting the information to a robot control system, and the patch planning system is used for building a two-dimensional occupied map to carry out path planning according to the environment information collected by the image collecting system and timely adjusting the walking path of the robot when the barriers exist so as to prevent the robot from colliding the barriers. Meanwhile, a vision navigation method is disclosed. Collision with the barriers is avoided, the self-adaptation capacity to the environment is improved, the autonomous navigation function of the power robot is truly achieved in the outdoor complex environment, and the flexibility and the safety performance of the power robot are improved.

The invention relates to the testing field, which discloses a method and a device of surface detection of defect, the method includes the following steps: acquiring an original surface image; calculating gradient values of every pixel point of the original image along multiple directions respectively, taking a maximum value therein as a new gray value of the pixel point, obtaining a gradient image; if the gray value of the gray value pixel point is greater than the threshold value, then the gray value is evaluated as: the first gray value, otherwise is evaluated as: the second gray value, obtaining a binary image; refining the binary image, obtaining a single wired binary image, wherein, the single wired defective edge is included; converting the single wired defective edge into a close looped defective edge; in the original image, comparing the gray values between the pixel point in the close looped defective edge and the pixel point nearby the outside, if less than, the defect of the close loop is judged as surface defect. Using the technical scheme can achieve the automatic detection of defects in the tested object, which improves the testing efficiency.

The invention relates to the detection field, disclosing a detection device of surface defects. The detection device of surface defects, which includes an image input part and a detection part, consists of a rolling mechanism and a pitching mechanism to drive an object stage to rotate towards four directions. A loading process can test a plurality of surfaces of a detected object; therefore, the device is convenient in use. Moreover, the coordination of a rolling motor, a pitching motor and a control circuit leads the device to conveniently control the rotation direction, swing angle and speed of the object stage and to collect images of the detected object in various angles, thus being beneficial to the detection part to detect comprehensively the defect according to the original image taken from various input angles and beneficial to improving the defect detection accuracy. In addition, the device can automatically adjust and finish the image capture of the detected objects from various angles as well as image detection, obviously, the device is favorable to improving automatic detection and detection efficiency.

The invention discloses an automatic aligning assembling system of parts. The automatic aligning assembling system comprises a vertically arranged support, a material feeding device, a position detection adjusting device, an assembling device and a material moving device, wherein the material feeding device is used for conveying the parts to a designated position; the position detection adjusting device comprises a sliding mechanism horizontally installed on the support, a rotary detection table installed on the sliding mechanism and a position detection photoelectric switch, and the position detection photoelectric switch is used for detecting the positions of the parts on the rotary detection table and emitting aligning control signals to the rotary detection table; the assembling device comprises a rotary bearing plate and a die plate arranged at the end of the rotary bearing plate; and the material moving device is used for conveying the parts to the rotary detection table from the designated position and conveying the aligned parts on the rotary detection table to the die plate. The automatic aligning assembling system of parts replaces manual operation, achieves automatic detection and adjusting of part position, improves assembling accuracy and efficiency, accordingly improves production efficiency and reduces production cost of the parts.

The invention discloses a laser rust-removing device, which comprises a central controller, a laser, a working table controller, a working table, an acoustic sensor and a rust-removing head. The laser is guided into the cylindrical rust-removing head through a light guide pipe; a light outlet is vertical to the cylindrical metal inner wall; and the automatic control and precise positioning in the laser rust-removing process are realized by combining the acoustic sensor, the central controller and the working table. The laser rust-removing device solves the problem of removing rust on the cylindrical metal inner wall and other special surfaces.

The invention discloses a method and a device for automatically detecting network weak coverage. The method comprise the steps that a survey report reported by a terminal to a base station is obtained, and received power of the terminal is analyzed from the survey report; the distance between the terminal and the corresponding base station is calculated according to the analyzed received powder of the terminal; the terminal received power on the distance between the base station and the terminal in an angle direction is calculated according to a preset angle step value within a set angle range by using a direction angle direction of an antenna of the base station as a start; and position coordinates of the terminal are located according to the calculated terminal received power and the received power analyzed from the survey report; and a network weak coverage detection result is obtained and output according to the position coordinates of the terminal.

The invention provides a non-contact detection system of a hollow cylindrical part and a detection method thereof. The detection system comprises: an illumination part, a transmission part and a datareceiving processing part, wherein the illumination part comprises a dual parallel light source and a slide way with a bracket and a base; the transmission part comprises a controller and an electriccontrol translational platform; and the data receiving processing part comprises a linear array CCD and a computer with a bracket and a base. One side of the electric control translational platform isprovided with the slide way; the parallel light source and the CCD are respectively arranged on the slide way by the bases thereof; the dual light source is symmetrically positioned relative to the CCD in x direction, and slantwise irradiated on the surface of a part A to be tested from the left upper direction and the right upper direction with angle Theta0<->; the width of the slit of the lightsource is adjusted according to the width upper limit d0<->; the CCD receives the reflected light of the surface of the part from the upper direction; and the data is transmitted to the computer to be processed. The detection method comprises the steps of: harmoniously controlling the translational platform and the CCD by the computer to equidistantly distantly acquire the data; preprocessing theacquired line image and conducting edge extracting; and fitting the circle center position and the circle radius of the outer circle with the circle center position and the circle radius of the innercircle, thus calculating the concentricity of the outer circle and the inner circle.

The invention discloses an automatic pulmonary tuberculosis detection system on an X-ray chest radiograph based on a characteristic pyramid network (FPN). An X-ray chest radiograph of pulmonary tuberculosis is marked; a Faster R-CNN network learning module with an FPN as the rear end is adopted for training and learning, pulmonary tuberculosis lesion symptoms are mastered, and the automatic diagnosis and detection capacity of the pulmonary tuberculosis lesion symptoms is obtained, so that the automatic detection, positioning and probability prediction of the pulmonary tuberculosis lesion are achieved, and a final pulmonary tuberculosis detection result is obtained. The FPN serves as the rear end of the detection network, the semantic features in a multi-scale network layer can be better combined, each layer is independently predicted, and fusion is finally carried out, so that focuses of different scales can be better detected. Based on a recognition technology of the deep learning network to the digital image, the automatic detection, positioning and probability prediction of the tuberculosis focus are realized, the accuracy of the focus detection is improved, and the risk of thedelayed treatment of a tuberculosis patient is reduced.

The invention discloses a bulk automation boat discharging system, which is characterized in that a main control unit is connected with an object position scanning unit; the main control unit is connected with an exchanger; the object position scanning unit is connected with the exchanger which is connected with a crane maintenance and monitoring unit. In the invention, the object position scanning unit automatically scans the boat cabin and implements the automatic detection of the boat cabin position and the distribution of the material; the main control unit automatically produces the optimized boat discharging path according to the detection result and controls and executes the drive control of all mechanism motors of the boat discharging machine by a plurality of transmission units. A cab controlling platform and a central monitoring chamber are connected with the main control unit, can interrupt the automatic boat discharging process according to the actual situations, and interfaces and adjusts the devices. The invention has the advantages of implementing the continuous automatic boat discharging function of the whole cabin, improving the operation efficiency, ensuring the safety performance, and reaching the purpose of implementing full automation of the buck dock.

The invention relates to a multi-parameter field automatic measuring and sorting system. The multi-parameter field automatic measuring and sorting system is provided with a conveyor belt for conveying a cylinder sleeve part to be measured, wherein one side of the conveyor belt is successively provided with an automatic feeding mechanism for automatically transporting each cylinder sleeve part to be measured on the conveyor belt, a first measuring station for carrying out high-precision measurement on a physical dimension and a form and position error of the cylinder sleeve part to be measured, a second measuring station for obtaining the outline information of the cylinder sleeve part as well as an automatic separation mechanism for automatically carrying out classifying selection on the cylinder sleeve parts with different standards according to the measuring results along the length direction of the conveyor belt. The distance between the cylinder sleeve parts on the conveyor belt is the setting distance d, the distance d guarantees that the first measuring station and the second measuring station can carry out the next measurement simultaneously. The multi-parameter field automatic measuring and sorting system provided by the invention has the characteristics of high precision and high efficiency, a workpiece body with the narrow space volume is measured, the high precision measurement is easy to realize, each parameter automatically generate a data report, and the detection data is automatically saved.

The invention provides a method for detecting a service logic vulnerability, which comprises the following steps: in response to obtaining a service message sent to a server by a client, determining service scene information based on the service message; determining a target parameter and a test case corresponding to the service scene information; replacing the value of the target parameter in theservice message with the value of the target parameter in the test case, generating a test message, and sending the test message to the server; receiving first response information for the test message from the server; processing the first response information to obtain a detection result of whether the service logic vulnerability exists or not; and outputting the detection result. The inventionfurther provides a device for detecting the service logic vulnerability, electronic equipment and a computer readable storage medium.

The application discloses a lesion detection method and apparatus of an eye fundus image. The method comprises the following steps: carrying out pretreatment on a to-be-detected eye fundus image; carrying out optic disk positioning on the eye fundus image after pretreatment and determining an optic disk region; carrying out morphological processing on the eye fundus image after pretreatment to obtain a healthy background image; and according to the healthy background image and the optic disk region, determining an effusion region in the eye fundus image after pretreatment. Therefore, the detection speed of the eye fundus image can be increased and accuracy of positioning of a lesion region can be improved.

The invention relates to the defect detection technology field and discloses a defect detection method based on visual identification and a system. The method comprises steps that an image of a to-be-detected panel is acquired; edge detection on the image is carried out, and a target contour is extracted; the target contour is a contour on which defect detection is carried out; a first tangential gray scale gradient is calculated; the first tangential gray scale gradient is a tangential gray scale gradient of a first pixel point on the target contour; the first tangential gray scale gradient is equal to a difference value of a gray scale of a first pixel and a gray scale of a second pixel; the second pixel is adjacent to the first pixel and is before the first pixel on the target contour; according to the first tangential gray scale gradient, whether defect is detected is determined; if the tangential gray scale gradient satisfies a preset defect determination condition, that defect is detected is determined. Through the method, automatic detection on fine defects in a panel printing process is realized, a detection result is objective, and dependence on artificial experience can be avoided.

The method sets up sensing optical fiber on surface of prefabricated foundation pile to be measured. Both dependent variable and temperature sensed of the fiber are based on Brillouin backscattering. At incidence end of pulsed light, the method measures received light power of Brillouin backscattering so as to accomplish function of measuring and positioning Brillouin frequency shift on each points of optical fiber. In procedure of sinking pile, strain distribution is as basic parameter to reflect impaired character and degree of foundation pile. Based on linear correlation between Brillouin frequency shift and strain, temperature, the method carries out temperature compensation based on measured strain distribution and temperature distribution so as to obtain actual strain distribution on surface of foundation pile to be measured.

The invention provides an automobile third-generation hub unit assembly line. The assembly line comprises a channel measurement sorting device, a steel ball storage detection device, a flange plate outer ring assembly device, a nut tightener, a vibration detection device, a negative windage detection device, a grease injection and nut riveting device, a bolt tightening and pressing device, a gear ring and sensor pressing device and an ABS wheel speed sensor detection device. The invention can complete all the assembly procedures of the entire automobile third-generation hub unit, realizes automatic detection on each procedure, and prevents unqualified products from flowing into the subsequent procedure. The invention automatically sets parameters and automatically carries out detection, automatically controls the operation of an actuating mechanism by utilizing a PLC according to a program, prevents human factors from affecting the product quality, realizes accurate control and strictly ensures the assembly quality.

The invention discloses a forest fire pre-warning method and system based on deep learning and belongs to the field of firefighting safety. The method comprises: S1, allowing an unmanned aerial vehicle to sense, in real time, temperature and humidity information of a driving area, taking a forest image of the driving area, transmitting the forest image to a ground station; synchronously transmitting locational information to the ground station; S2, judging fire pre-warning according to the temperature and humidity information, and transmitting a fire pre-warning signal to the ground station; S3, allowing the ground station to receive the fire pre-warning signal, and using a deep learning algorithm to process the forest image to obtain whether a fire is about to occur or whether fire results are present; S4, transmitting fire information to a forest management center. The temperature and humidity information is sensed and subjected to comparison; visual judgment is made on chances for afire to occur; if chances for the fire to occur are great, the forest image is processed via the deep learning algorithm; fire pre-occurrence and post-occurrence conditions can be precisely recognized; it is convenient for relevant personnel to accurately acquire fire conditions in the first place.

The invention discloses a CT lung nodule detection system based on 3D-Unet. The system includes a CT image input and preprocessing module, a candidate nodule detection module and a false-reporting elimination module which are sequentially connected. The CT image input and preprocessing module is used for reading a chest CT graph, obtaining spacing and origin information of the CT graph, and carrying out lung volume segmentation on the CT graph. The candidate nodule detection module is used for inputting the image, of which preprocesing is completed, into a Unet network, and obtaining a location of a candidate lung nodule. The Unet network includes sixteen residual blocks, two path units, four maximum-pooling units, one preparation unit, one probabilistic neuron failure unit and one outputunit. According to the system, automatic detection of the lung nodule is realized, problems of high doctor workloads and high misdiagnosis rates in lung nodule diagnosis are solved, an effect of detecting the lung nodule by the 3D-Unet is realized, more contextual semantic information in the CT image is utilized, and detection accuracy is higher.

The invention discloses a method and device for detecting a surface defect of an electronic device, relating to the field of electronic device appearance detection. The method comprises a step of obtaining an original surface image of an electronic device taken by a shooting device, a step of preprocessing the original surface image to obtain a preprocessed image with the removal of interference, a step of determining a detection target image in the preprocessed image and dividing the detection target image into one or more detection area images based on detection content, and a step of extracting a characteristic parameter from the detection area image, and determining whether the surface of the electronic device has a defect according to a defect judgment rule and the characteristic parameter. According to the method and device, the automatic detection of the surface defect of the electronic device can be realized, various defects can be detected at the same time, the shortcomings of the artificial detection of appearance defects are overcome, the detection efficiency is high, the misjudgment rate is low, the detection time can be shortened, and the production efficiency is improved.

The invention provides an automatic state detection device and method for a railway track spring bar fastener. The device comprises a travelling mechanism; a travelling control mechanism is connected to the travelling mechanism; a spring bar fastener distance measurement module, an image acquisition module, a spring bar fastener surface three-dimensional point cloud acquisition module, and a data processing and judging module are fixedly mounted on the travelling mechanism; the spring bar fastener surface three-dimensional point cloud acquisition module is used for acquiring integral three-dimensional point cloud data of the spring bar fastener; the travelling control mechanism comprises a wireless receiver, a microprocessor and a driving motor; the data processing and judging module is used for determining the edge of a fastener in a spring bar fastener plane image based on the three-dimensional point cloud data and image data, extracting the image of the spring bar fastener, and judging whether a crack exists on the spring bar fastener according to the extracted image of the spring bar fastener. According to the automatic state detection device and method, whether the crack exists on the spring bar fastener or not can be detected automatically.