CN105203148A - Visual detection method for automobile combination instrument - Google Patents
Visual detection method for automobile combination instrument Download PDFInfo
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- CN105203148A CN105203148A CN201510634848.4A CN201510634848A CN105203148A CN 105203148 A CN105203148 A CN 105203148A CN 201510634848 A CN201510634848 A CN 201510634848A CN 105203148 A CN105203148 A CN 105203148A
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Abstract
The invention discloses a visual detection method for an automobile combination instrument. A detection system adopted in the method comprises the instrument to be detected, a camera, a personal computer (PC) and a signal generator. The PC sends an instruction to the signal generator, the signal generator generates corresponding signals to the instrument to be detected, and the instrument is responded. Meanwhile, the PC controls the camera to take photos so that images can be obtained, and then whether an instrument panel is qualified or not is judged by image processing. The visual detection method for the automobile combination instrument is characterized by comprising the following steps that a template is established, and template matching is conducted every time detection is performed; a rectangle is set through parameters, the detection area of each single item is framed, the gray value and the hue value within the framed area are detected by image processing in detection of control lamps, the red part in the area is extracted in detection of a pointer, a straight line is fitted and then the included angle is calculated. The combination instrument is detected through machine vision, so that detection time is greatly shortened, efficiency is improved, human eye detection is replaced, and thus more accuracy is achieved.
Description
Technical field
The present invention relates to the detection method of automobile combination meter, particularly relate to the visible detection method of computer based automobile combination meter.
Background technology
Automobile combination meter is the interactive interface of people and automobile, for driver provides the required information such as vehicle operating parameter, fault, mileage, is the requisite parts of each automobile.Instrument display directly perceived and attractive in appearance makes to drive still do not ride instead of walk required, and also become a part for comfortable life, the accurate and reliability of Parameter transfer is then directly connected to the safety of running car.The domestic detection to automobile instrument at present also rests on the manual detection stage, and whether artificial judgement lamp is normally bright, and whether pointer deflects is put in place.This determination methods affects comparatively large by subjective factor, error detection rate can be caused higher.
In view of this, the visible detection method that a kind of automobile combination meter is provided is necessary, to solve the problem.
Summary of the invention
In order to overcome the deficiency that above-mentioned prior art exists, the object of the present invention is to provide a kind of visible detection method of automobile combination meter, detection method of the present invention is the mechanical vision inspection technology adopting computing machine and industrial camera, by to after the collection analysis process of image, provide corresponding measured value, judge that whether panel board is qualified.
In order to achieve the above object, the technical solution adopted in the present invention is: a kind of visible detection method of automobile combination meter, the detection system adopted comprises meters under test, camera, PC and signal generator, instruction is sent to signal generator by PC, signal generator produces corresponding signal to meters under test, instrument is made a response, simultaneously PC controls camera and to take pictures acquisition image, judge that whether panel board is qualified by image procossing again, it is characterized in that, described visible detection method comprises the steps: drawing template establishment, carries out template matches during each detection; Optimum configurations rectangle, confining the surveyed area of each individual event, is exactly detect by image procossing the gray-scale value and tone value confined in region to the detection of control lamp, is exactly extract the RED sector in region to the detection of pointer, fit to straight line, then calculate angle.
The visible detection method of automobile combination meter as above, it is characterized in that: the establishment of described template takes a pictures with camera, according to image pyramid match pattern, a template is created with the operator create_shape_model in halcon, finding template is also corresponding find template with the operator find_shape_model in halcon, if matching degree height, continue to detect, if matching degree is low, need to re-create template, matching degree can set in the parameter of operator.
The visible detection method of automobile combination meter as above, it is characterized in that: the detection of described control lamp, its position determines it is the picture according to camera shooting, creates a rectangle and is lived by its frame, be ROI area-of-interest with the operator gen_rectangle1 in halocn.
The visible detection method of automobile combination meter as above, it is characterized in that: when gray scale detection is carried out to ROI, first a Threshold segmentation threshold is carried out to ROI, black part is got rid of, area the best part tuple_find is found again inside connected domain after singulation, namely can represent the part of whole gray-scale value, gray scale detection be carried out to this part, calculates gray-scale value with intensity.
The visible detection method of automobile combination meter as above, is characterized in that: when carrying out color detection to ROI, ROI is divided into R, G, B triple channel, then calculate R with intensity, G, the three-channel gray-scale value of B, if G is maximum, is defined as green, if B is maximum, be defined as blueness, if R is maximum, and the ratio value of R and G is greater than predetermined value, is defined as redness, if R is maximum, and the ratio value of R and G is less than predetermined value, be defined as orange, predetermined value is specifically set by adjustment camera.
The visible detection method of automobile combination meter as above, it is characterized in that: when connecting tin detection, union2 is utilized to make a union lamp ROI of all detections, then the supplementary set of one of them ROI is detected, calculate the gray-scale value in supplementary set, if be greater than setting value, then think it and other lamp short circuit, setting value is determined according to actual conditions.
The visible detection method of automobile combination meter as above, it is characterized in that: when pointer detects, finding pointer algorithm is the picture taken according to camera, create a rectangle with the operator gen_rectangle1 in halocn corresponding dial plate frame is lived, be ROI area-of-interest, because pointer is red, so first carry out gray level threshold segmentation threshold, and then RGB image is transformed into HSI color gamut space, again to passage H carry out hue threshold segmentation threshold, finally by major axis minor axis feature select_shape by pointer extracting out.
The visible detection method of automobile combination meter as above, it is characterized in that: the calculating angle during pointer detects carries out eigentransformation shape_trans to the pointer extracted, become an ellipse, calculate the radian of major axis and X-axis again according to elliptic_axis, then calculate angle by tuple_mult.
Compared with prior art, the visible detection method for automobile combination meter that the present invention is based on computing machine has following beneficial effect:
1. there is industrial camera to replace human eye detection.Improve detection efficiency, reduce false drop rate;
2. Dynamic System is simple and practical, Detection Information convenient storage;
3. can compatible multiple automobile instrument.
Accompanying drawing explanation
Fig. 1 is the theory diagram of the visible detection method of automobile combination meter of the present invention.
Fig. 2 is the overhaul flow chart of the visible detection method of automobile combination meter of the present invention.
Embodiment
In order to understand the present invention better, illustrate content of the present invention further below in conjunction with embodiment, but content of the present invention is not only confined to the following examples.Those skilled in the art can make various changes or modifications the present invention, and these equivalent form of values are equally within claims limited range listed by the application.
The present invention discloses a kind of visible detection method of automobile combination meter.Automobile combination meter dish there are multiple signals need to detect, lamp (CAN signal), speedometer (frequency signal), tachometer gage (CAN signal), fuel level gauge (resistance signal), water-thermometer (CAN signal), upper rain glass (voltage signal), lower rain glass (voltage signal) that LED (simulating signal), CAN control.See Fig. 1, the detection system that described visible detection method adopts comprises meters under test, camera, PC and signal generator.Detection method is: PC sends instruction to signal generator, and signal generator produces corresponding signal to meters under test, and instrument is made a response, and simultaneously PC controls camera and to take pictures acquisition image, then judges that whether panel board is qualified by image procossing.By machine vision, combination instrument is detected, substantially reduce detection time, improve efficiency, substitute human eye detection, more accurately.
See Fig. 2, computer based is for the visible detection method of automobile combination meter, its main flow is: drawing template establishment, template matches is carried out during each detection, prevent because the dial plate pose to be checked that external cause causes changes (can be rotated by radiation conversion when pose changes little, skew is located).Optimum configurations rectangle, confines the surveyed area of each individual event, is exactly detect by image procossing the gray-scale value and tone value confined in region to the detection of lamp.Be exactly the RED sector extracted in region to the detection of pointer, fit to straight line, then calculate angle.Monitor in real time for the voltage in testing process, electric current.Prevent electric current and voltage excessive, infringement instrument.
Below the specific implementation method of described visible detection method is described in detail.This software of algorithm Halcon of image processing section completes, and the code then write is embedded in VS2012.
1. template
A pictures taken by camera, according to image pyramid match pattern, creates a template with the operator create_shape_model in halcon.Finding template is also corresponding find template with the operator find_shape_model in halcon.If matching degree height, continue to detect, if matching degree is low, need to re-create template.Matching degree can set in the parameter of operator.
2. control lamp to detect
1) position is determined
According to the picture of camera shooting, create a rectangle with the operator gen_rectangle1 in halocn and its frame is lived.Be ROI(area-of-interest).
2) gray scale detection
Gray scale detection is carried out to ROI.Due to some lamp entered by frame time, there is the black part of hollow out, average gray can be dragged down, so first carry out a Threshold segmentation threshold to ROI, black part is got rid of, find area the best part tuple_find inside connected domain after singulation again, namely can represent the part of whole gray-scale value, gray scale detection is carried out to this part.Gray-scale value is calculated with intensity.
3) color detection
ROI is divided into R, G, B triple channel, is calculating R with intensity, the three-channel gray-scale value of G, B.If G is maximum, be defined as green.If B is maximum, be defined as blueness.If R is maximum, and the ratio value of R and G is greater than predetermined value, is defined as redness.If R is maximum, and the ratio value of R and G is less than predetermined value, is defined as orange.Predetermined value is specifically set by adjustment camera.
4) connect tin to detect
Utilize union2 to make a union lamp ROI of all detections, then detect the supplementary set of one of them ROI, calculate the gray-scale value in supplementary set.If be greater than setting value, then think it and other lamp short circuit.Setting value is determined according to actual conditions.
3. pointer detects
1) pointer is found
According to the picture of camera shooting, create a rectangle with the operator gen_rectangle1 in halocn and corresponding dial plate frame is lived.Be ROI(area-of-interest).Because pointer is red, so first carry out gray level threshold segmentation threshold, and then RGB image is transformed into HSI color gamut space, then to passage H carry out hue threshold segmentation threshold, finally by major axis minor axis feature select_shape by pointer extracting out.
2) angle is calculated
Eigentransformation shape_trans is carried out to the pointer extracted, is become an ellipse, then calculate the radian of major axis and X-axis according to elliptic_axis, then calculate angle by tuple_mult.
4.LCD detects
1) position is determined
According to the picture of camera shooting, create a rectangle with the operator gen_rectangle1 in halocn and its frame is lived.Be ROI(area-of-interest).
2) progress bar detects
First clapping a progress bar is empty picture, extracts a ROI, then takes the progress bar picture that is wanted to reach a certain position, extract another ROI by the rectangle frame created by the rectangle frame created.By comparison check_difference, progress bar can be obtained.Obtain minimum enclosed rectangle according to smallest_rectangle1 again, finally calculate rectangle length and be progress bar length.
5. maximum power dissipation detects and two output voltage detection
Send instruction to programmable power supply (Ai Dekesi tri-road programmable power supply) by serial ports, feed back corresponding electric current and voltage value.
6. output waveform detects
Board in conjunction with PCIE1810 detects the frequency of output waveform, amplitude and dutycycle.
The criterion of testing result: the standard meter thought by one piece of producer, detect one by one its all item, namely the analog value measured thinks standard value.Be saved in a data structure.Again according to the value of standard value setting bound, be saved in an argument structure body.During each detection, if the value recorded is within the scope of bound, namely think qualified, if overruned, then regard as defective.
The principal feature of described visible detection method has: 1. drawing template establishment before detecting, and directly mates template during detection.Matching degree height then continues to detect.Matching degree is low, stops detecting.
2. all detections on pair panel board carry out parameter editor, can probably locate.The location of its pointer all will include the position that it may deflect with suitable rectangle.
3. can carry out detecting (calculating hue and luminance value) for some lamps separately, or carry out detecting (calculating deflection angle) for a certain pointer.Also can detect all items simultaneously.
4. compared by the analog value of systems axiol-ogy and setting value, judge that whether panel board is qualified.
5. detect each time, all automatically can generate an Excel form, record all Detection Information, if wrong, can the error message of an other regeneration Excel charting.
6. real-time monitoring voltage, current value in testing process, can alarm if too high.
The content be not described in detail in this instructions belongs to the known prior art of professional and technical personnel in the field.
Claims (8)
1. the visible detection method of an automobile combination meter, the detection system adopted comprises meters under test, camera, PC and signal generator, instruction is sent to signal generator by PC, signal generator produces corresponding signal to meters under test, and instrument is made a response, and simultaneously PC controls camera and to take pictures acquisition image, judge that whether panel board is qualified by image procossing again, it is characterized in that, described visible detection method comprises the steps: drawing template establishment, carries out template matches during each detection; Optimum configurations rectangle, confining the surveyed area of each individual event, is exactly detect by image procossing the gray-scale value and tone value confined in region to the detection of control lamp, is exactly extract the RED sector in region to the detection of pointer, fit to straight line, then calculate angle.
2. the visible detection method of automobile combination meter according to claim 1, it is characterized in that: the establishment of described template takes a pictures with camera, according to image pyramid match pattern, a template is created with the operator create_shape_model in halcon, finding template is also corresponding find template with the operator find_shape_model in halcon, if matching degree height, continue to detect, if matching degree is low, need to re-create template, matching degree can set in the parameter of operator.
3. the visible detection method of automobile combination meter according to claim 1, it is characterized in that: the detection of described control lamp, its position determines it is the picture according to camera shooting, creates a rectangle and is lived by its frame, be ROI area-of-interest with the operator gen_rectangle1 in halocn.
4. the visible detection method of automobile combination meter according to claim 3, it is characterized in that: when gray scale detection is carried out to ROI, first a Threshold segmentation threshold is carried out to ROI, black part is got rid of, area the best part tuple_find is found again inside connected domain after singulation, namely can represent the part of whole gray-scale value, gray scale detection be carried out to this part, calculates gray-scale value with intensity.
5. the visible detection method of automobile combination meter according to claim 3, it is characterized in that: when color detection is carried out to ROI, ROI is divided into R, G, B triple channel, R is calculated again with intensity, the three-channel gray-scale value of G, B, if G is maximum, be defined as green, if B is maximum, be defined as blueness, if R is maximum, and the ratio value of R and G is greater than predetermined value, be defined as redness, if R is maximum, and the ratio value of R and G is less than predetermined value, be defined as orange, predetermined value is specifically set by adjustment camera.
6. the visible detection method of automobile combination meter according to claim 3, it is characterized in that: when connecting tin detection, union2 is utilized to make a union lamp ROI of all detections, then the supplementary set of one of them ROI is detected, calculate the gray-scale value in supplementary set, if be greater than setting value, then think it and other lamp short circuit, setting value is determined according to actual conditions.
7. the visible detection method of automobile combination meter according to claim 1, it is characterized in that: when pointer detects, finding pointer algorithm is the picture taken according to camera, create a rectangle with the operator gen_rectangle1 in halocn corresponding dial plate frame is lived, be ROI area-of-interest, because pointer is red, so first carry out gray level threshold segmentation threshold, and then RGB image is transformed into HSI color gamut space, again hue threshold segmentation threshold is carried out to passage H, finally by major axis minor axis feature select_shape by pointer extracting out.
8. the visible detection method of automobile combination meter according to claim 7, it is characterized in that: the calculating angle during pointer detects carries out eigentransformation shape_trans to the pointer extracted, become an ellipse, calculate the radian of major axis and X-axis again according to elliptic_axis, then calculate angle by tuple_mult.
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| CN109060799A (en) * | 2018-05-23 | 2018-12-21 | 嘉兴微芒科技有限公司 | A kind of assembling line finished product detection determination method |
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| CN110146121A (en) * | 2019-05-24 | 2019-08-20 | 安徽扬远信息科技有限公司 | A kind of instrument board Performance Evaluation control system |
| CN110987467A (en) * | 2019-11-25 | 2020-04-10 | 航天科技控股集团股份有限公司 | Method for realizing automatic detection of automobile instrument by configuring csv file |
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| CN113532882A (en) * | 2021-07-22 | 2021-10-22 | 中国第一汽车股份有限公司 | Automobile instrument testing method, device and system and storage medium |
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| CN106951900A (en) * | 2017-04-13 | 2017-07-14 | 杭州申昊科技股份有限公司 | A kind of automatic identifying method of arrester meter reading |
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| CN109489988A (en) * | 2018-09-27 | 2019-03-19 | 惠州市德赛西威汽车电子股份有限公司 | A kind of simulation real vehicle key starting vision durability Meter Test system |
| CN110146121A (en) * | 2019-05-24 | 2019-08-20 | 安徽扬远信息科技有限公司 | A kind of instrument board Performance Evaluation control system |
| CN110987467A (en) * | 2019-11-25 | 2020-04-10 | 航天科技控股集团股份有限公司 | Method for realizing automatic detection of automobile instrument by configuring csv file |
| CN112418222A (en) * | 2020-12-07 | 2021-02-26 | 安徽江淮汽车集团股份有限公司 | Vehicle-mounted liquid crystal combination meter identification method, device, equipment and storage medium |
| CN113532882A (en) * | 2021-07-22 | 2021-10-22 | 中国第一汽车股份有限公司 | Automobile instrument testing method, device and system and storage medium |
| CN113865636A (en) * | 2021-09-28 | 2021-12-31 | 北斗星通智联科技有限责任公司 | Instrument testing method and system and electronic equipment |
| CN113865636B (en) * | 2021-09-28 | 2024-02-02 | 北斗星通智联科技有限责任公司 | Instrument testing method and system and electronic equipment |
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