CN213715990U - System for video measurement object motion gesture - Google Patents
System for video measurement object motion gesture Download PDFInfo
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- CN213715990U CN213715990U CN202023067435.8U CN202023067435U CN213715990U CN 213715990 U CN213715990 U CN 213715990U CN 202023067435 U CN202023067435 U CN 202023067435U CN 213715990 U CN213715990 U CN 213715990U
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Abstract
The utility model discloses a system for measuring the motion attitude of an object by video, which comprises a host, a synchronous controller, two sets of rotating mechanisms and two industrial cameras; the synchronous controller comprises an FPGA processor, a synchronous trigger module, an RS485 external circuit, a trigger signal connector and a control signal connector; the host comprises a display screen and two sets of processing units respectively corresponding to the industrial cameras, wherein each set of processing unit comprises a main control panel, a GPU processor, an image acquisition card and a power supply; the rotating mechanism is connected with the control signal connector; the industrial camera comprises an acquisition end connected with the image acquisition card and a trigger end connected with the trigger signal connector. The utility model discloses an aspect can carry out high-speed and effectual processing to the magnanimity image of collection based on GPU to reach the purpose that improves image processing efficiency; on the other hand, the industrial camera can synchronously acquire images so as to achieve the purposes of improving the early-stage acquisition precision and improving the post-processing calculation precision.
Description
Technical Field
The utility model relates to a video measurement technical field, specifically speaking relate to a system for video measurement object motion gesture.
Background
The moving posture video measuring technology is to use a machine to replace human eyes for measurement and judgment, but the human eyes or a common industrial camera can hardly capture the details of a moving object due to the high speed of the object moving at a high speed, so that the image acquisition technology capable of imaging at a high speed is required to finish the rapid and repeated sampling of a high-speed target in a short time, so that the change process of the recorded target is clearly and slowly presented in front of the eyes of people.
At present, the functions of image identification of mark points, sub-pixel positioning, matching and the like in the aircraft model video measurement technology are all post-processing of image data by a compatible computer after an aircraft model test, and result data cannot be provided within 5-10 minutes after the test is finished, so that the technical problem of low processing speed exists. In addition, when a deformation measurement test is carried out on the continuous aircraft model, the image data of a single industrial camera at a temperature step is up to about 280GB, and if the image data is still processed by using the conventional method, at least several days are needed, so that the test efficiency of the aircraft model is seriously influenced.
With the increase of the processing speed of the GPU in recent years, the GPU is used as a processor to process a test image sequence acquired by an industrial camera in real time, and the method can be used for rapidly extracting coordinates and feature data of mark points in an image and storing a real-time compressed image. Therefore, how to combine the cost and the capability of the current parallel image processing hardware, the existing marking point image identification, sub-pixel positioning and matching technology is converted into hardware, and a motion attitude video measurement technology which can meet the functions of real-time storage, marking point identification, sub-pixel positioning and matching and the like of high-speed massive images becomes an inevitable trend.
In addition, there is a video measurement technology based on the principle of binocular stereo vision in the prior art, for example, a method for measuring the pose of a high-speed moving object based on structured light disclosed in 2015, 10, month and 14 of the prior art with patent publication No. CN103727927B, but the technology does not consider the synchronism of an industrial camera during image acquisition, thereby not only affecting the image acquisition precision, but also greatly affecting the precision of post-image processing and calculation.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the problems in the prior art and provide a system for measuring the motion attitude of an object by video, on one hand, the utility model can effectively process the acquired massive images at high speed based on GPU to achieve the purpose of improving the image processing efficiency; on the other hand, the industrial camera can synchronously acquire images so as to achieve the purposes of improving the early-stage acquisition precision and improving the post-processing calculation precision.
In order to achieve the above object, the utility model adopts the following technical scheme:
a system for video measurement of the motion attitude of an object is characterized in that: the system comprises a host, a synchronous controller, two sets of rotating mechanisms and two industrial cameras; wherein the content of the first and second substances,
the synchronous controller comprises an FPGA processor, a synchronous trigger module, an RS485 external circuit, a trigger signal connector and a control signal connector, wherein the FPGA processor, the synchronous trigger module and the RS485 external circuit are integrated on a PCB circuit board, the synchronous trigger module is respectively connected with the FPGA processor and the trigger signal connector, and the RS485 external circuit is respectively connected with the FPGA processor and the control signal connector;
the host comprises a display screen and two sets of processing units which respectively correspond to the industrial cameras, each set of processing unit comprises a main control panel, a GPU processor, an image acquisition card and a power supply, the main control panels are respectively connected with the GPU processor, the image acquisition card and the power supply, the main control panels in the two sets of processing units are mutually connected, and one main control panel is respectively connected with the display screen and the FPGA processor;
the rotating mechanism is connected with the control signal connector and is used for adjusting the azimuth angle of the industrial camera;
the industrial camera comprises an acquisition end connected with the image acquisition card and a trigger end connected with the trigger signal connector; the synchronous controller controls the industrial camera to simultaneously acquire images through the synchronous trigger module.
The number of the trigger signal connectors corresponds to the number of the industrial cameras, and the synchronous trigger modules are connected with the industrial cameras through the trigger signal connectors respectively.
The number of the RS485 external circuits and the number of the control signal connectors are multiple, and each RS485 external circuit is connected with the rotating mechanism through the control signal connector.
The processing unit further comprises a memory card integrated on the PCB, and the memory card is connected with the main control board and used for storing images and data.
Adopt the utility model has the advantages of:
1. the utility model discloses a host computer, synchronous controller, two sets of slewing mechanism and two industrial cameras, wherein, can carry out high-speed and effectual processing to the magnanimity image of collection through the GPU treater in the host computer, can provide the result data in 5-10 minutes after experimental completion, be favorable to improving the treatment effeciency of image. And through the synchronous trigger module and the cooperation of trigger signal connector among the synchronous controller, then be favorable to promoting the collection precision of earlier stage image and promote the precision that post processing calculated. The system is applied to actual video measurement, and can quickly and efficiently meet the functions of real-time storage, marking point identification, sub-pixel positioning and matching and the like of massive images.
2. The utility model discloses a RS485 external circuit and control signal connector cooperation can also realize slewing mechanism's remote automatic control, have improved the intelligent degree of system, and it is more convenient to operate.
3. The utility model discloses have small in size, portable advantage when in actual use.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The utility model discloses a system for measuring the motion attitude of an object by video, which comprises a host, a synchronous controller, two sets of rotating mechanisms and two industrial cameras, as shown in figure 1; the structure, the position and the connection relation of each component are respectively as follows:
the synchronous controller comprises an FPGA processor, a synchronous trigger module, an RS485 external circuit, a trigger signal connector and a control signal connector, the FPGA processor, the synchronous trigger module and the RS485 external circuit are all integrated on a PCB circuit board, the synchronous trigger module is respectively connected with the FPGA processor and the trigger signal connector, and the RS485 external circuit is respectively connected with the FPGA processor and the control signal connector. The specification model of the FPGA processor can be XC6SLX9-3TQG144C, the synchronous trigger module can be realized by building a circuit through LM211DT and 74HC14D, the specification model of the trigger signal connector can be M12-4, and the specification model of the control signal connector can be M12-5.
The host comprises a display screen and two sets of processing units corresponding to the industrial camera respectively, each set of processing unit comprises a main control panel, a GPU processor, an image acquisition card and a power supply, the main control panels are connected with the GPU processor, the image acquisition card and the power supply respectively, the main control panels in the two sets of processing units are connected with each other, and one main control panel is connected with the display screen and the FPGA processor respectively. The specification model of the main control board can be WS X299 SAGE/10G, the specification model of the GPU processor can be GeForce RTX 2080Ti TURBO 11G, the specification model of the image acquisition card can be AS-FBD-4XCXP6-2PE8, and the specification model of the display screen can be a 17-inch capacitive touch screen.
The rotating mechanism mainly comprises a positioning base, a motor fixing shaft, a rotating bearing, a worm speed reduction stepping motor, a photoelectric encoder fixing seat and a photoelectric encoder, and is connected with the control signal connector and used for driving the industrial camera to rotate under the control of the main control panel and the FPGA processor so as to accurately adjust the azimuth angle of the industrial camera and enable the industrial camera to be quickly aligned to a measured object.
The industrial camera comprises an acquisition end connected with the image acquisition card and a trigger end connected with the trigger signal connector, and the synchronous controller controls the industrial camera to acquire images simultaneously through the synchronous trigger module. The main control board controls the industrial camera to collect images through the FPGA processor and the trigger signal connector, and the images collected by the industrial camera are transmitted to the main control board through the image collecting card to be processed.
The number of the trigger signal connectors corresponds to the number of the industrial cameras, and the synchronous trigger modules are connected with the industrial cameras through the trigger signal connectors respectively. In practical use, the number of the industrial cameras can be multiple, and the synchronous trigger module can control the industrial cameras to simultaneously acquire images through the multiple trigger signal connectors respectively.
The number of the RS485 external circuits and the number of the control signal connectors are multiple, and each RS485 external circuit is connected with the rotating mechanism through the control signal connector. In practical use, if other actuators are additionally arranged in the system, such as other rotatable illuminating mechanisms and the like, the system can be controlled through an additional RS485 external circuit and a control signal connector.
The processing unit also comprises a memory card integrated on the PCB circuit board, and the memory card is connected with the main control board and used for storing images, various related data, results and the like.
The utility model discloses when in actual use, the quantity of industrial camera and the quantity of processing unit are preferred two sets, but are not limited to two sets, can be equipped with the lighting mechanism who passes through FPGA treater control by the main control board simultaneously. The implementation principle is as follows:
step 1, placing an object to be detected 7 in a proper position, horizontally and oppositely fixing an industrial camera, adjusting the angle position between the industrial camera and the object to be detected, turning on an illuminating mechanism to perform light compensation, completing focusing and ensuring the imaging definition of the object to be detected.
And 2, pasting a mark point which can be used for image processing software identification on the surface of the object to be tested, firmly pasting the mark point on the surface of the object to be tested according to the test requirement, connecting communication control cables among the modules, turning on an illuminating mechanism, and observing through image acquisition software trial acquisition in a host computer, wherein the image is clear, and the mark point can be normally identified.
And 3, opening control software in the host, self-checking each module of the system, and determining that the communication and the control are normal. The working environment parameters of the industrial camera are read through inquiry, and the current environment parameters are adjusted through host control software.
And 4, issuing a command to accurately adjust the angle between the industrial camera and the object to be detected through the host control software, simultaneously opening the image analysis processing software to observe the image acquisition imaging condition of the object to be detected, and finely adjusting parameters such as lamplight, angle and the like again until clear and complete video images can be obtained in the imaging test window and all the mark points are normally and clearly identified.
And 5, opening image analysis processing software, selecting an experiment type as an online experiment, setting acquisition parameters of an industrial camera, reading in a real-time image after parameter configuration is finished, setting an experiment mode as extracting a mark point, compressing the image at a high speed or extracting the point and compressing the image, storing data and compressing the image after the online experiment is finished, and displaying the coordinates of the mark point after the real-time analysis processing.
And 6, opening image analysis processing software, selecting an experiment type as an off-line experiment, importing the off-line image into an off-line image folder, selecting an experiment picture, configuring and finely adjusting experiment parameters, analyzing, processing and extracting mark points, displaying the calculated coordinates of the mark points on a display screen, and finishing the measurement of the object to be measured.
Claims (4)
1. A system for video measurement of the motion attitude of an object is characterized in that: the system comprises a host, a synchronous controller, two sets of rotating mechanisms and two industrial cameras; wherein the content of the first and second substances,
the synchronous controller comprises an FPGA processor, a synchronous trigger module, an RS485 external circuit, a trigger signal connector and a control signal connector, wherein the FPGA processor, the synchronous trigger module and the RS485 external circuit are integrated on a PCB circuit board, the synchronous trigger module is respectively connected with the FPGA processor and the trigger signal connector, and the RS485 external circuit is respectively connected with the FPGA processor and the control signal connector;
the host comprises a display screen and two sets of processing units which respectively correspond to the industrial cameras, each set of processing unit comprises a main control panel, a GPU processor, an image acquisition card and a power supply, the main control panels are respectively connected with the GPU processor, the image acquisition card and the power supply, the main control panels in the two sets of processing units are mutually connected, and one main control panel is respectively connected with the display screen and the FPGA processor;
the rotating mechanism is connected with the control signal connector and is used for adjusting the azimuth angle of the industrial camera;
the industrial camera comprises an acquisition end connected with the image acquisition card and a trigger end connected with the trigger signal connector; the synchronous controller controls the industrial camera to simultaneously acquire images through the synchronous trigger module.
2. The system for video measurement of the motion attitude of an object according to claim 1, wherein: the number of the trigger signal connectors corresponds to the number of the industrial cameras, and the synchronous trigger modules are connected with the industrial cameras through the trigger signal connectors respectively.
3. The system for video measurement of the motion attitude of an object according to claim 1, wherein: the number of the RS485 external circuits and the number of the control signal connectors are multiple, and each RS485 external circuit is connected with the rotating mechanism through the control signal connector.
4. The system for video measurement of the motion attitude of an object according to claim 1, wherein: the processing unit further comprises a memory card integrated on the PCB, and the memory card is connected with the main control board and used for storing images and data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202023067435.8U CN213715990U (en) | 2020-12-18 | 2020-12-18 | System for video measurement object motion gesture |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202023067435.8U CN213715990U (en) | 2020-12-18 | 2020-12-18 | System for video measurement object motion gesture |
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| CN213715990U true CN213715990U (en) | 2021-07-16 |
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| CN202023067435.8U Active CN213715990U (en) | 2020-12-18 | 2020-12-18 | System for video measurement object motion gesture |
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