CN104089574A - New classroom teaching model based on machine vision technology - Google Patents
New classroom teaching model based on machine vision technology Download PDFInfo
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- CN104089574A CN104089574A CN201410310028.5A CN201410310028A CN104089574A CN 104089574 A CN104089574 A CN 104089574A CN 201410310028 A CN201410310028 A CN 201410310028A CN 104089574 A CN104089574 A CN 104089574A
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Abstract
The invention discloses a new classroom teaching model based on the machine vision technology. The new classroom teaching model solves the problems existing in traditional measurement technology teaching. Hardware comprises a CCD image sensor of a USB interface, a sphere integration light source, a computer, a standard part with the diameter phi of 40.00 mm and a workpiece to be measured. Software is used for workpiece dimension measurement independent learning software based on the machine vision technology. According to the technical scheme of a system, a program is initialized, and a graphical user interface pops up; a video is started, and communication between the computer and a camera is achieved; calibration is performed, and the unit conversion relation is obtained; judgment is made, and students learn through independent operation; the video is stopped, communication between the computer and the camera is stopped; scores are queried, analysis is performed in time, and thus targeted teaching can be achieved and instructions can be given in good time. The system not only can meet the requirements of a traditional classroom but also can motivate the students, repetitive work of teachers is reduced, classroom efficiency is improved, the information-based teaching development progress of vocational schools is promoted, and the application and popularization prospects are broad.
Description
Technical field
This patent relates to machine vision technique and is generalized to vocational school's classroom teaching in manufacturing industry achievement in research, relates in particular to a kind of new classroom teaching pattern based on machine vision technique.
Background technology
" measuring technique " is teaching unit important in the cooperation of the Numerical Control Specialty Main Course < < limit and commercial measurement > >.The measurement of the geometric parameter of part is mainly comprised to length, angle, surfaceness and morpheme error.Conventional measurer mainly contains vernier caliper, milscale, dial bore gage and universal protractor.By study and the real training of this unit, student will skillfully grasp the using method of the fundamental measurement instruments such as conventional vernier caliper, milscale, dial bore gage and universal protractor.
Conventional teaching method: teacher explains after the using method of measurer, and student independently practises; In the process of the autonomous exercise of student, teacher is by seeing, ask whether understand student can correctly use measurer.In conventional teaching method, student often there will be faulty operation situation in repeating, thereby cause, cannot correctly grasp using method; Meanwhile, although teacher is in the face of the full student of class will carry out a large amount of repeated labors, still can not examine or check test to each classmate.Based on above situation, how fast and effeciently to check student's use amount tool method correctness perplexing teacher always.
Summary of the invention
The object of the invention is to meet in the demand of normal classroom instruction, improve classroom efficiency, propose a kind of new classroom teaching pattern based on machine vision technique.This system is served measuring technique teaching by machine vision technique achievement in research in manufacturing industry, and Real-time Collection workpiece image, utilizes machine vision technique to obtain the vision measurement value of part; By this value and student's hand dipping value, compare, thereby determine student's hand dipping value correctness, and then judge whether student correctly uses survey instrument.From student's angle, know in time the result of the correctness that uses measurer, make student can analyze in time autonomous learning, thereby reach the using skill of quick grasp measurer; From teacher's angle, can reduce repetitive operation, the while is the situation of students ' use measurer comprehensively.
Technical scheme of the present invention is: a kind of new classroom teaching pattern based on machine vision technique, it is characterized in that, and comprise the following steps:
1) program initialization;
2) open video;
3) demarcate and process;
4) judgement is processed;
5) close video;
6) score inquiry.
Described step 1) concrete steps of program initialization are: operation executable file, to eject graphic user interface, mainly contain three kinds of user controls such as order button, static text frame, edit box, wherein order button has again the video of unlatching, demarcates and process, judge and process, cut out five kinds of trigger events such as video and score inquiry; Static text frame has again student name, measured value, information feedback, can carry out necessary explanatory note and prompting; Edit box can complete the input and output of information, corresponding one by one with static text frame.
Described step 2) concrete steps of unlatching video are: after this order button of mouse-click, utilize general-purpose serial bus USB interface to complete the data communication between computing machine and ccd image sensor, can obtain the real-time dynamic scene in detection zone, and show in dynamic image viewing area.
Described step 3) demarcating the concrete steps of processing is: due to image, processing the dimensional units of obtaining is pixel, and physical size unit is millimeter, must carry out unit conversion so.Demarcate processing and can complete unit conversion, obtain its ratio R, unit is millimeter/pixel.This operation must complete before judgement is processed, and after each object distance (distance of camera lens and workpiece) changes, will again demarcate.Demarcate while processing, standard component is placed in to detection zone (under ball integration light source), then click this order button, automatically complete the unit conversion between millimeter and pixel, obtain ratio R.With the standard component of this system support be Φ 40.00mm.
Described step 4) concrete steps that judgement is processed are: student is put into detection zone by workpiece for measurement, then fills in name and measured value, clicks this order button, automatically exports feedback information.Its detailed process: the workpiece image in computer acquisition detection zone, and show in still image viewing area, carry out image gray processing, binaryzation, rim detection, carry out Hough transformation and detect circle, finally obtain the diameter pixel value of workpiece, and with described step 3) obtain ratio R after processing and multiply each other, determine the vision measurement size of diameter of work, and compare with student's hand dipping value, according to result relatively, provide the information feedback of hand dipping result correctness, therefore student can understand the measurement situation of oneself in time, realizing oneself measures, oneself is marked, thereby oneself analyzes the effect that reaches autonomous learning.
The concrete steps of described step 5) closing video are: click after this order button, stop the work of ccd image sensor, be conducive to extend its serviceable life.
Described step 6) concrete steps of score inquiry are: examination result mainly comprises the information such as Measuring Time, student name, measurement result, for teacher provides student measurement situation within certain time period.Query Result on merit, teacher can recognize each students ' actual situation operational circumstances.The erroneous point existing for the full classmate of class is classified, and processes respectively: the erroneous point occurring for most classmate, can concentrate explanation; The erroneous point occurring for small part classmate, can teach separately, accomplishes to shoot the arrow at the target, and improves teacher's work efficiency, also makes student utilize better the time, improves learning efficiency.
The invention has the beneficial effects as follows: the not enough problem that the present invention is directed to the conventional teaching method existence of measuring technique, build new classroom teaching pattern, meet current teachers and students' actual demand, mobilizing students learning initiative, reduce teacher's repetitive operation, improve classroom efficiency, popularizing application prospect is wide.
Accompanying drawing explanation
Fig. 1 is this patent hardware connection diagram;
Fig. 2 is this patent graphic user interface;
Fig. 3 is this patent system control flow chart;
Embodiment
Below in conjunction with accompanying drawing, this patent is described in detail.The present invention is directed to new classroom teaching pattern and there is following characteristics: the 1. reform in education; 2. machine vision technique; 3. autonomous learning.
Requirement based on teaching information, this patent proposes a kind of new classroom teaching pattern.This system is realized by six steps: 1) program initialization, ejects graphic user interface; 2) open video, realize between computing machine and camera and communicating by letter; 3) demarcate and process, obtain the transformational relation between Pixel Dimensions and mm size; 4) judgement is processed, student's Self-operating, and automatic acquisition is measured judged result, autonomous learning; 5) close video, stop communicating by letter between the two; 6) score inquiry, teacher analyzes in time, accomplishes to shoot the arrow at the target, and coaches in good time.
The new classroom teaching pattern of this patent is comprised of hardware and software two parts.Hardware comprises ccd image sensor, ball integration light source, computing machine, Φ 40.00mm standard component and the workpiece for measurement of USB interface, and its hardware connects as shown in Figure 1; The workpiece size that software is used based on machine vision technique detects autonomous learning software, and as shown in Figure 2, as shown in Figure 3, it mainly comprises the following steps its system control flow its graphic user interface:
1. program initialization: operation executable file, to eject graphic user interface, mainly contain three kinds of user controls such as order button, static text frame, edit box, wherein order button has again the video of unlatching, demarcates and process, judge and process, cut out five kinds of trigger events such as video and score inquiry; Static text frame has again student name, measured value, information feedback, can carry out necessary explanatory note and prompting; Edit box can complete the input and output of information, corresponding one by one with static text frame.
2. open video: click after this order button, utilize general-purpose serial bus USB interface to complete the data communication between computing machine and ccd image sensor, can obtain the real-time dynamic scene in detection zone, and show in dynamic image viewing area.
3. demarcate and process: due to image, processing the dimensional units of obtaining is pixel, and physical size unit is millimeter, must carry out unit conversion so.Demarcate processing and can complete unit conversion, obtain its ratio R, unit is millimeter/pixel.This operation must complete before judgement is processed, and after each object distance (distance of camera lens and workpiece) changes, will again demarcate.Demarcate while processing, standard component is placed in to detection zone (under ball integration light source), then click this order button, automatically complete the unit conversion between millimeter and pixel, obtain ratio R.With the standard component of this system support be Φ 40.00mm.
4. judgement is processed: student is put into detection zone by workpiece for measurement, then fills in name and measured value, clicks this order button, automatically exports feedback information.Its detailed process: the workpiece image in computer acquisition detection zone, carry out image gray processing, binaryzation, rim detection, carry out Hough transformation and detect circle, finally obtain the diameter pixel value of workpiece, and with described step 3) obtain ratio R after processing and multiply each other, determine the vision measurement size of diameter of work, and compare with student's hand dipping value, according to result relatively, provide the information feedback of hand dipping result correctness, therefore student can understand the measurement situation of oneself in time, realizing oneself measures, oneself is marked, thereby oneself analyzes the effect that reaches autonomous learning.
5. close video: after this order button of mouse-click, stop the work of ccd image sensor, be conducive to extend its serviceable life.
6. score inquiry: examination result mainly comprises the information such as Measuring Time, student name, measurement result, for teacher provides student measurement situation within certain time period.Query Result on merit, teacher can recognize each students ' actual situation operational circumstances.The erroneous point existing for the full classmate of class is classified, and processes respectively: the erroneous point occurring for most classmate, can concentrate explanation; The erroneous point occurring for small part classmate, can teach separately, accomplishes to shoot the arrow at the target, and improves teacher's work efficiency, also makes student utilize better the time, improves learning efficiency.
Claims (5)
1. the new classroom teaching pattern based on machine vision technique, comprises hardware and software two parts.Hardware components mainly contains: the ccd image sensor of USB interface, ball integration light source, computing machine, Φ 40.00mm standard component and workpiece for measurement.The workpiece size that software is used based on machine vision technique detects autonomous learning software.It is characterized in that, comprise following key step:
1) program initialization;
2) open video;
3) demarcate and process;
4) judgement is processed;
5) close video;
6) score inquiry.
2. a kind of new classroom teaching pattern based on machine vision technique according to claim 1, it is characterized in that, described step 1) concrete steps of program initialization are: operation executable file, to eject graphic user interface, mainly contain three kinds of user controls such as order button, static text frame, edit box, wherein order button has again the video of unlatching, demarcates and process, judge and process, cut out five kinds of trigger events such as video and score inquiry; Static text frame has again name, measured value, information feedback, can carry out necessary explanatory note and prompting; Edit box can complete the input and output of information, corresponding one by one with static text frame.
3. a kind of new classroom teaching pattern based on machine vision technique according to claim 1, it is characterized in that, described step 3) demarcating the concrete steps of processing is: after each object distance changes, will again demarcate, standard component is placed in to detection zone, then click this order button, automatically complete the unit conversion between millimeter and pixel, its ratio is R.With the standard component of this system support be Φ 40.00mm.
4. a kind of new classroom teaching pattern based on machine vision technique according to claim 1, it is characterized in that, described step 4) concrete steps that judgement is processed are: student is put into detection zone by workpiece for measurement, then fill in name and measured value, click this order button, automatically export feedback information.Its detailed process: the workpiece image in computer acquisition detection zone, carry out image gray processing, binaryzation, rim detection, carry out Hough transformation and detect circle, finally obtain the diameter pixel value of workpiece, and with described step 3) obtain ratio R after processing and multiply each other, determine the vision measurement size of diameter of work, and compare with student's hand dipping value, according to result relatively, provide the information feedback of hand dipping result correctness, therefore student can understand the measurement situation of oneself in time, realizing oneself measures, oneself is marked, thereby oneself analyzes the effect that reaches autonomous learning.
5. a kind of new classroom teaching pattern based on machine vision technique according to claim 1, is characterized in that described step 6) concrete steps of score inquiry are: Query Result on merit, teacher can recognize each students ' actual situation operational circumstances.The erroneous point existing for the full classmate of class is classified, and processes respectively: the erroneous point occurring for most classmate, can concentrate explanation; The erroneous point occurring for small part classmate, can teach separately, accomplishes to shoot the arrow at the target, and has improved teacher's work efficiency, also makes student utilize better the time, improves learning efficiency.
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Cited By (8)
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| CN105679145A (en) * | 2016-03-25 | 2016-06-15 | 佛山市新恒萃材料科技有限公司 | Machine vision technology education platform |
| CN107240048A (en) * | 2017-05-10 | 2017-10-10 | 江苏航空职业技术学院 | A kind of Additional Specialty tutoring system based on machine vision technique |
| CN109559572A (en) * | 2018-12-27 | 2019-04-02 | 天津职业技术师范大学附属高级技术学校 | Intelligent measurer teaching machine |
| CN109798833A (en) * | 2019-02-25 | 2019-05-24 | 黄文广 | A kind of machined piece automatic measurement system and automatic scoring method |
| CN110427152A (en) * | 2019-07-30 | 2019-11-08 | 上海商汤智能科技有限公司 | Assistant teaching method and relevant apparatus |
| CN110807969A (en) * | 2019-11-28 | 2020-02-18 | 深圳市华兴鼎盛科技有限公司 | Machine vision recognition teaching system and teaching method |
| CN112330599A (en) * | 2020-10-15 | 2021-02-05 | 浙江大学台州研究院 | Size measurement scoring device, adjusting method and scoring method |
| CN114674223A (en) * | 2020-10-15 | 2022-06-28 | 浙江大学台州研究院 | Dimension measurement scoring system based on machine vision detection method |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105679145A (en) * | 2016-03-25 | 2016-06-15 | 佛山市新恒萃材料科技有限公司 | Machine vision technology education platform |
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| CN109798833A (en) * | 2019-02-25 | 2019-05-24 | 黄文广 | A kind of machined piece automatic measurement system and automatic scoring method |
| CN110427152A (en) * | 2019-07-30 | 2019-11-08 | 上海商汤智能科技有限公司 | Assistant teaching method and relevant apparatus |
| CN110807969A (en) * | 2019-11-28 | 2020-02-18 | 深圳市华兴鼎盛科技有限公司 | Machine vision recognition teaching system and teaching method |
| CN112330599A (en) * | 2020-10-15 | 2021-02-05 | 浙江大学台州研究院 | Size measurement scoring device, adjusting method and scoring method |
| CN114674223A (en) * | 2020-10-15 | 2022-06-28 | 浙江大学台州研究院 | Dimension measurement scoring system based on machine vision detection method |
| CN114674223B (en) * | 2020-10-15 | 2023-06-23 | 浙江大学台州研究院 | Dimension measurement scoring system based on machine vision detection method |
| CN112330599B (en) * | 2020-10-15 | 2024-02-20 | 浙江大学台州研究院 | Dimension measurement scoring device, adjustment method and scoring method |
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