CN213131856U

CN213131856U - Long jump detection device based on OpenCV image-text recognition technology

Info

Publication number: CN213131856U
Application number: CN202022182607.XU
Authority: CN
Inventors: 英玉生
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-09-29
Filing date: 2020-09-29
Publication date: 2021-05-07
Anticipated expiration: 2030-09-29

Abstract

The utility model provides a long jump check out test set based on OpenCV picture and text recognition technology, including the cushion that the tiling set up has the mark, be equipped with the image recognition district on the cushion, the image recognition district includes the identification frame that the spacing is 10cm, writes recognizable figure in the identification frame, transversely cuts apart into 10 different colour mark strips in each identification frame, and the width of each mark strip is 1cm, the cushion is the rectangle structure, and this technique borrows the present OpenCV picture and text recognition technology, and the use of this technique, the reading process is for taking a picture, and upload the photo that has taken to cloud platform server, utilizes picture and text recognition technology can directly read the figure on the cushion, realizes that the decimeter numerical value reads, and in the reading of the corresponding centimetre numerical value of typewriter ribbon through different colours, the speed that cloud platform server carries out the analysis to the photo and reads numerical value promotes greatly, the efficiency is improved.

Description

Long jump detection device based on OpenCV image-text recognition technology

Technical Field

The utility model relates to a health quality test technical field especially relates to a health sports quality check out test set, specifically indicates a long jump check out test set based on OpenCV picture and text recognition technology.

Background

Standing long jump refers to long jump from a standing position without run-up, and is a sport that integrates physical qualities in such aspects as jumping, explosive force, physical coordination, and skill. The provision of the standing long jump in the national student physical health standard 2014 is a necessary test item for the annual physical tests of junior high schools and universities, and also becomes one of the important factors for measuring the physical quality of students. According to the plan of the education department, all the test items such as standing long jump and the like are required to be popularized with intelligent instruments comprehensively, and are provided with data management software to provide an exercise prescription.

Although some long jump equipment is when falling to the ground, the sole plate produces pressure to the cushion to realize the location through the pressure sensor on the cushion, thereby read the distance, in the test site of unmanned monitoring, easily produce the cheating, take off after one person and jump towards the outside direction of cushion, another person steps on in the position far away on the cushion, also can accomplish the test.

Although the detection can complete the test, after the data is read, the pressure signal needs to be converted into a digital signal, and the speed is relatively slow through the calculation of the background server.

Through further research and development, the standing long jump detection device for calculating the distance through the OpenCV image-text recognition technology is high in practicability, and an Opencv (open Source Computer Vision library), namely an open-Source Computer Vision library, is built in 1999 by Inte and is supported by the background provided by Wi11 ow Garage. Opencv is written in C/C + i language and can run on a plurality of operating systems including Mao, Windows, Linux and the like. It also provides interfaces of languages such as MATLAB, Ruby, C + + Builder, VC, Python, etc., so Opencv realizes perfect combination of computer vision processing and image processing by a large number of general algorithms.

Opencv development builds a fairly simple computer vision framework for the purpose of helping developers more easily design relevant applications in computer vision. In the Opencv function library, there are 500 multi-vision functions, including multiple fields such as medical imaging, factory product inspection, user interface, information security, robot vision, camera calibration, and stereo vision. Since machine learning and computer vision processing are closely related, there is also a machine learning library by pencv. The face cascade classifier carried by the Opencv library has a good face detection effect, so that the face detection and the face preprocessing are completed in Opencv in the text.

Disclosure of Invention

The to-be-solved technical problem of the utility model is weak point to prior art exists, a long jump check out test set based on OpenCV picture and text recognition technology is provided, present OpenCV picture and text recognition technology is borrowed to this technique, the use of this technique, read the process for shooing, and to reach cloud platform server on the photo that will have taken, utilize picture and text recognition technology can directly read the digit on the cushion, realize decimeter numerical value and read, and correspond reading of centimetre numerical value at the typewriter ribbon through different colours, the speed that the cloud platform server carries out the analysis to the photo and reads numerical value promotes greatly, and the efficiency is improved.

The technical solution of the utility model is to provide a long jump detection device based on OpenCV picture and text recognition technology, which comprises a rubber cushion with marks and tiled, wherein an image recognition area is arranged on the rubber cushion, the image recognition area comprises recognition frames with the interval distance of 10cm, recognizable numbers are written in the recognition frames, each recognition frame is divided into 10 different color mark strips, the width of each mark strip is 1cm, the rubber cushion is of a rectangular structure, the rubber cushion is 3.5 meters in length, 80cm in width and 1cm in thickness, one short edge of the rubber cushion is a jump side, the jump side is provided with a jump wire, the bottom of one side of the jump wire, which is far away from the image recognition area, is provided with a pressure sensor, the position of the jump wire is provided with a treading alarm device, the treading alarm device comprises a laser ranging sensor and a baffle which are respectively arranged at two sides of the jump wire, the device is characterized in that a support is arranged on one side of the rubber mat, and an image acquisition device is arranged on the support and is a position high-definition camera which is arranged in the middle of one long edge of the rubber mat and is deviated to the takeoff side.

Preferably, the intelligent detection device further comprises an intelligent detection assembly, the intelligent detection assembly comprises a PLC control module, the PLC control module is electrically connected with a wireless conveying module and a face recognition instrument, and the pressure sensor, the laser ranging sensor and the high-definition camera are all electrically connected with the PLC control module.

Preferably, the wireless transmission module is a LORA or WIFI wireless communication module.

Preferably, the face recognition device stands on the ground beside the rubber mat.

Preferably, a second laser ranging sensor is arranged on one side, far away from the image identification area, of the starting line.

The beneficial effects of the scheme of the machine are as follows: this technique is borrowed from present OpenCV picture and text recognition technology, and the use of this technique reads the process and for shooing to the photo that will have taken a picture is uploaded to cloud platform server, utilizes picture and text recognition technology can directly read the figure on the cushion, realizes decimetre numerical value and reads, and at the reading that the typewriter ribbon through different colours corresponds centimetre numerical value, the speed that the cloud platform server carries out the analysis to the photo and reads numerical value promotes greatly, has improved efficiency.

Drawings

Fig. 1 is a schematic structural diagram of a long jump detection device rubber mat based on an OpenCV image-text recognition technology.

Fig. 2 is a partially enlarged view of a portion a in fig. 1.

FIG. 3 is a schematic structural diagram of a long jump detection device based on OpenCV image-text recognition technology

Fig. 4 is an electrical connection schematic diagram of an intelligent detection component in a long jump detection device based on an OpenCV image-text recognition technology.

Detailed Description

For convenience of description, the following will describe in detail a long jump detection device based on the OpenCV image-text recognition technology in conjunction with fig. 1-4.

The utility model provides a long jump check out test set based on OpenCV picture and text recognition technology, including the cushion 1 that has the mark that the tiling set up, be equipped with image recognition district 2 on the cushion 1, image recognition district 2 includes that spacing distance is 10 cm's discernment frame 3, has written recognizable figure 4 in the discernment frame 3, transversely cuts apart into 10 different colour mark strips 5 in each discernment frame 3, and the width of every mark strip 5 is 1cm, cushion 1 is the rectangle structure, cushion 1 is length 3.5 meters, width 80cm, thickness 1cm, one of them minor face of cushion 1 is the take-off side, the take-off side is equipped with take-off wire 6, take-off wire 6 keeps away from one side bottom in image identification district and is equipped with pressure sensor 11, perhaps, one side that image identification district was kept away from in take-off wire (6) is equipped with second laser ranging sensor 7.1, and the signal that utilizes pressure sensor disappears in the twinkling of an eye and utilize second laser ranging sensor 7.1 to record numerical value change and all can judge the testee person under test Has already taken off the jump.

A stepping alarm device is arranged at the position of the jumping wire 6 and comprises a laser ranging sensor 7 and a baffle 8 which are respectively arranged at two sides of the jumping wire 6, a bracket 9 is arranged at one side of the rubber mat 1, and an image acquisition device which is a high-definition camera 10 which is arranged in the middle of one long edge of the rubber mat 1 and is deviated to the jumping side is arranged on the bracket 9; the face recognition device 14 stands on the ground beside the rubber mat 1.

The intelligent detection device is characterized by further comprising an intelligent detection assembly, wherein the intelligent detection assembly comprises a PLC (programmable logic controller) control module 12, a wireless conveying module 13 and a face recognition instrument 14 are electrically connected to the PLC control module, and the pressure sensor 11, the laser ranging sensor 7 and the high-definition camera 10 are electrically connected to the PLC control module 12; the wireless transmission module is an LORA or WIFI wireless communication module; the cloud platform server 15 is connected with the wireless transmission module and transmits data with the APP client on the mobile phone 16 through 4G/5G.

The working principle is as follows: firstly, the method of the technical scheme is not the protection object of the utility model, but the electric elements and the equipment are combined into the protection object of the utility model, the working principle is explained here only for clearer understanding, which is helpful for understanding the design scheme, when in use, firstly, the information of the examinee is completely recorded into the cloud platform server, and under the premise, the examinee enters the examination area to carry out the test of standing long jump; before the examinee walks to the face recognition instrument, the face recognition instrument confirms the identity of the examinee, the face recognition instrument uploads the collected information to the cloud platform server through the PLC control module and the wireless transmission module, the cloud platform server is subjected to contrastive analysis, it is determined that personnel information is fed back to the PLC control module, the information is consistent and is tested on next step, the person stands to the jumping mountain, the pressure sensor 11 transmits the personnel in-place signal to the PLC control module, or the data change measured by the second laser ranging sensor 7.1 is transmitted to the PLC control module as the signal that the person is in place, the PLC control module controls the laser ranging sensor 7 of the line stepping alarm device to work, if the laser ranging sensor does not generate distance change, the representative does not step on the line, if the line stepping, the foot interferes with the laser ranging sensor, and the numerical change of the laser ranging sensor is determined as the line stepping.

After a human body jumps, the pressure of the pressure sensor is eliminated, a human jump signal is transmitted to the PLC control module, the PLC control module sends an instruction to enable the high-definition camera to start working, the high-definition camera shoots the whole jump process, at least 3 pictures are generated from the jump to the end, the jump is instantaneous, the jump is in an empty state and a landing state, the high-speed camera is a device capable of capturing motion images with the exposure of less than 1/1000 seconds or the frame rate of more than 250 frames per second, so that the collected pictures do not have problems when landing, and are generally more than 3 pictures, the pictures are shot in the whole process, cheating is prevented, and the jump, the jump and the landing of the same person are guaranteed.

High definition picture that will shoot through PLC controller and wireless transmission module uploads to cloud platform server, and the picture when cloud platform server will fall to the ground is selected and is carried out image recognition, for the picture when can be better selecting to fall to the ground, can be equipped with vibrations sensor on the cushion, the human body take off after the jump fall to the ground in the twinkling of an eye with the cushion contact to produce vibrations, the picture of this moment is the picture of shooting when falling to the ground.

Firstly, recognizable numbers at the heel can be read through a digital reading technology, for example, if the feet fall into a recognition frame with the number of 270cm, 270cm is read, and then the single digit is judged according to the position relation between the heels and the transversely divided mark strips in the recognition frame 3, for example, if the heels are positioned at the position of a green line in the recognition frame and the green line represents less than 4cm, the long jump distance is judged to be 274 cm.

The cloud platform server compares data with the set up quantity to reach standard, and the data are excellent, good, qualified and the like, after the cloud platform server is processed, the result is sent to the APP client on the mobile phone of the examinee through the 4G/5G network in real time, if the examinee finds that the result is unqualified, the examinee can continue to perform supplementary examination again, and the power supply of the device adopts an external rechargeable battery pack.

The 51 singlechip, STC singlechip or other singlechips are all that a very mature and stable single chip microcomputer controller of operation, and it is extensive to use in microsystem control, and the write-in procedure can use, and the procedure is not the key point of this technical protection, and the key point that this patent includes lies in utilizing some current electrical apparatus function module to realize data acquisition, comparison and transport, saves the drawback that artifical invigilation exists, avoids the appearance of the artificial error of artifical later stage data arrangement in-process.

This technique is borrowed from present OpenCV picture and text recognition technology, and the use of this technique reads the process and for shooing to the photo that will have taken a picture is uploaded to cloud platform server, utilizes picture and text recognition technology can directly read the figure on the cushion, realizes decimetre numerical value and reads, and at the reading that the typewriter ribbon through different colours corresponds centimetre numerical value, the speed that the cloud platform server carries out the analysis to the photo and reads numerical value promotes greatly, has improved efficiency.

In the above embodiments, the best mode of the present invention has been described, it is obvious that many changes can be made under the inventive concept of the present invention, and it should be noted that any changes made under the inventive concept of the present invention will fall within the protective scope of the present invention.

Claims

1. The utility model provides a long jump check out test set based on OpenCV picture and text recognition technology, includes that the tiling sets up has cushion (1) of mark, characterized by: be equipped with image recognition district (2) on cushion (1), image recognition district (2) are 10 cm's identification frame (3) including the spacing distance, have been written into recognizable figure (4) in identification frame (3), transversely cut apart into 10 different colour mark strip (5) in each identification frame (3), and the width of every mark strip (5) is 1cm, cushion (1) is the rectangle structure, cushion (1) is length 3.5 meters, width 80cm, thickness 1cm, one of them minor face of cushion (1) is the take-off side, the take-off side is equipped with take-off wire (6), take-off wire (6) position is equipped with alarm device steps on, step on alarm device is including setting up laser range sensor (7) and baffle (8) in take-off wire (6) both sides respectively, cushion (1) one side is equipped with support (9), it sets up through the support frame to adopt the collection dress to be equipped with the image on support frame (9) and set up in cushion (1) one of them long length through the support frame A high-definition camera (10) with the middle of the side being deviated to the jumping side.

2. The long jump detection device based on the OpenCV graphics context recognition technology as claimed in claim 1, wherein: still include intelligent detection subassembly, intelligent detection subassembly includes PLC control module (12), it has wireless transport module (13), face identification appearance (14), pressure sensor (11), laser range finding sensor (7) and high definition camera (10) to connect through the electricity on PLC control module (12).

3. The long jump detection device based on the OpenCV graphics context recognition technology as claimed in claim 2, wherein: the wireless transmission module (13) is a LORA or WIFI wireless communication module.

4. The long jump detection device based on the OpenCV graphics context recognition technology as claimed in claim 2, wherein: the face recognition instrument (14) is erected on the ground beside the rubber mat (1).

5. The long jump detection device based on the OpenCV graphics context recognition technology as claimed in claim 1, wherein: and a pressure sensor (11) is arranged at the bottom of one side of the jumper wire (6) far away from the image identification area.

6. The long jump detection device based on the OpenCV graphics context recognition technology as claimed in claim 1, wherein: and a second laser ranging sensor (7.1) is arranged on one side of the jumper wire (6) far away from the image identification area.