CN102628854A - Automobile instrument board detection system and method - Google Patents
Automobile instrument board detection system and method Download PDFInfo
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- CN102628854A CN102628854A CN2012100881240A CN201210088124A CN102628854A CN 102628854 A CN102628854 A CN 102628854A CN 2012100881240 A CN2012100881240 A CN 2012100881240A CN 201210088124 A CN201210088124 A CN 201210088124A CN 102628854 A CN102628854 A CN 102628854A
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- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The embodiment of the invention discloses an automobile instrument board detection system and an automobile instrument board detection method. The automobile instrument board detection system generates the corresponding driving signal for each instrument on the automobile instrument board, transmits the drive signal to the corresponding instrument on the automobile instrument board, acquires the image of each instrument on the automobile instrument board in real time after each instrument receives the drive signal, and performs digital decoding and analog-to-digital conversion treatment on the image so as to analyze the image, identity the indicator reading of each instrument on the automobile instrument board, compare the indicator reading and the indicating lamp stage with the preset qualified standard and output the detection result according to the comparison result. Due to the automobile instrument board detection system and the automobile instrument board detection method, the defects of manual detection on the instrument board are changed, the detection result is objective and accurate, and the detection efficiency of the automobile instrument board is greatly improved.
Description
Technical field
The present invention relates to instrument field, in particular, relate to a kind of fascia detection system.
Background technology
At present, the rapid growth period that automobile industry having got into.Fascia is as instrument requisite in the automobile, that write down and indicate various data of automobile and state, and its industry is also constantly developed along with the increase of automobile market.
Generally speaking, in order to guarantee the quality of fascia, before dispatching from the factory, must all carry out inferior quality inspection eventually to each piece fascia.The project of inspection comprises eventually: whether the index error on the fascia between each gauge pointer and all target scales, all signal alarm lamp and pilot lamp damage and neglected loading.In the prior art, fascia is carried out the method that artificial observation is adopted in eventually inspection, promptly estimate line ball situation and each pilot lamp between each gauge pointer and scale, the show state of charactron, judge according to visual observation whether fascia is qualified by the workman.
Can know in sum; It is to adopt artificial visually examine's method to judge whether fascia is qualified that prior art is carried out inspection eventually to fascia; Because the artificial visually examine receives the influence of subjective factor such as proofer's observation angle, observed range and degree of fatigue, the testing result error is big, reliability is low, and adopts manual work that fascia is carried out whole inspection; Inefficiency can not satisfy the demand of producing fascia in enormous quantities.
Summary of the invention
In view of this, the invention provides a kind of fascia detection system, to overcome in the prior art owing to adopting the artificial visually examine to detect that the testing result error that the fascia quality causes is big, reliability is low and the problem of inefficiency.
For realizing above-mentioned purpose, the present invention provides following technical scheme:
A kind of fascia detection system comprises signal generator, video camera, image pick-up card and processor;
Said signal generator is used for, and each instrument that is respectively on the said fascia produces the corresponding driving signal, and said drive signal is transferred to instrument corresponding on the fascia;
Said video camera is used for, after said each instrument receives said drive signal, and the image of each instrument on the said fascia of real-time collection, and the image of said each instrument is sent to image pick-up card;
Said image pick-up card is used for, and said image is carried out digital decoding and analog-to-digital conversion process, and the image that processing obtains is sent to processor;
Said processor is used for; The image that said processing is obtained carries out analyzing and processing; Identify the total indicator reading and the led status of each instrument on the fascia, said total indicator reading and said led status are compared with preset criterion of acceptability, and according to comparative result output testing result.
Optional, said processor comprises:
The image filtering module is used for removing the noise of said image, and extracts the characteristic information in the said image;
The rim detection module is used for extracting the boundary line of image object and background;
The image binaryzation module is used for said image is carried out Threshold Segmentation, to obtain standardized images;
Acquisition module as a result is used for calculating according to said standardized images the recognition result of each instrument on the fascia;
Judge module as a result is used to judge whether qualified and output judged result of said recognition result;
Said judge module as a result comprises error calculating module and pilot lamp judge module;
Said error judgment module, whether the difference that is used for judging the gauge pointer reading that identifies and received pointer reading according to preset standard signal and received pointer reading mapping table is greater than the permissible error of presetting; If, the defective indication of output meter; If not, the qualified indication of output meter;
Said pilot lamp judge module, whether the gray-scale value of image that is used to judge the pilot lamp that identifies is greater than preset gray threshold; If, the qualified indication of output indicator, if not, the defective indication of output indicator.
Optional, said image filtering module comprises the medium filtering module, is used for adopting median filtering method to remove the noise of said image information.
Optional, said rim detection module comprises the Laplace operator module, is used for adopting La Pulisi operator algorithm to extract the boundary line of image information object and background.
Optional, said image binaryzation module comprises big Tianjin Threshold Segmentation module, is used to adopt big Tianjin thresholding method that said image information is carried out Threshold Segmentation, to obtain standardized images.
Optional, the quantity of said video camera is one; Or,
The quantity of instrument is identical on the quantity of said video camera and the said fascia.
Optional, also comprise illuminating lamp and instrument desk;
Said illuminating lamp is used to fascia lighting source is provided;
Said instrument desk is used for placing and the location fascia, comprises the locating slot corresponding to each instrument stitch hole on the fascia.
Wherein, the long-living drive signal of said signal generator comprises pulse signal and current signal.
Optional, also comprise:
Printer is used for the printout testing result.
A kind of automobile instrument board detecting method comprises:
Each instrument that is respectively on the said fascia produces the corresponding driving signal, and said drive signal is transferred to instrument corresponding on the fascia;
After said each instrument receives said drive signal, the image of each instrument on the said fascia of real-time collection;
Said image is carried out digital decoding and analog-to-digital conversion process;
Said image is carried out analyzing and processing, identify the total indicator reading and the led status of each instrument on the fascia, said total indicator reading and said led status are compared with preset criterion of acceptability, and according to comparative result output testing result.
Can know via above-mentioned technical scheme; Compared with prior art, the embodiment of the invention discloses a kind of fascia detection system, said fascia detection system comprises signal generator, video camera, image pick-up card and processor; This system utilizes computer vision technique; After giving each instrument input drive signal of instrument panel to be detected, gather the processing of image and the process image pick-up card and the processor of each instrument in real time, identify the image of each instrument; And according to the image that identifies, through calculating testing result.Through the disclosed fascia detection system of the embodiment of the invention, changed the drawback of manual detection fascia, not only testing result is objective and accurate, and has improved the detection efficiency of fascia greatly.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is embodiments of the invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to the accompanying drawing that provides.
Fig. 1 is the disclosed fascia detection system of an embodiment of the invention structural representation;
Fig. 2 is the synoptic diagram of each meter diagram picture on the disclosed camera acquisition fascia of the embodiment of the invention;
Fig. 3 is the disclosed processor structure synoptic diagram of the embodiment of the invention;
Fig. 4 is the structural representation of the disclosed judge module as a result of the embodiment of the invention;
Fig. 5 is the disclosed automobile instrument board detecting method of an embodiment of the invention schematic flow sheet;
Fig. 6 obtains the schematic flow sheet of testing result for the disclosed processing image of the embodiment of the invention.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
Embodiment one
Fig. 1 is the disclosed fascia detection system of an embodiment of the invention structural representation, and with reference to shown in Figure 1, said fascia detection system 10 can comprise signal generator 101, video camera 102, image pick-up card 103 and processor 104;
Said signal generator 101, each instrument that is used to be respectively on the said fascia produces the corresponding driving signal, and said drive signal is transferred to instrument corresponding on the fascia;
Before being each instrument transmission drive signal on the said fascia, detect station in order to confirm whether fascia to be detected has arrived with transmission line, can adopt optoelectronic switch to catch and detect on the station whether had fascia; After treating that said optoelectronic switch captures automobile instrument plate in-position signal to be detected, the drive signal that produces is transferred in each instrument on the fascia;
Comprise speedometer, engine speed indicator, water-thermometer and fuel gauge on the general fascia; Wherein, the drive signal of speedometer and engine speed indicator is a pulse signal, and the drive signal of water-thermometer and fuel gauge is a current signal; Can predict generally speaking through experiment, the drive pulse signal frequency range of speedometer is 0～250HZ, and the drive pulse signal frequency range of engine speed indicator is 0～240HZ; Said signal generator can convert self-defining digital drive signals into analog drive signal through a data capture card after producing drive signal;
Said video camera 102 is used for after said each instrument receives said drive signal, the image of each instrument on the said fascia of real-time collection, and the image of said each instrument is sent to image pick-up card 103;
Wherein, said video camera can be CCD (Charge-coupled Device, charge coupled cell) camera, and quantity can be one, also can be identical with the quantity of instrument on the fascia to be detected; Because the disclosed fascia detection system of the embodiment of the invention is the detection to automobile instrument panel assembly; Need obtain the image of monoblock fascia; And a plurality of instrument are often arranged on the fascia, if adopt a video camera, need video camera or detection station driving fascia to be detected and on surface level, move; Can increase the complexity of mechanical system; And precision is wayward, thus preferable methods be adopt with fascia to be detected on the video camera of metered quantity same number come the acquisition instrument image, an instrument on each shooting collection fascia to be detected; Suppose that fascia to be detected comprises tachometer gage, mileometer and water-thermometer that is integrated in one and fuel gauge; Just need 3 video cameras to come to gather respectively tachometer gage, mileometer and water-thermometer that is integrated in one and fuel gauge, 3 video cameras can be respectively video camera 1, video camera 2 and video camera 3; Its synoptic diagram can be referring to Fig. 2, and Fig. 2 is the synoptic diagram of each meter diagram picture on the disclosed camera acquisition fascia of the embodiment of the invention;
Around the meter diagram picture of camera acquisition, possibly contain the various pilot lamp on the fascia, like storage battery pilot lamp, securing band pilot lamp etc.;
Said image pick-up card 103 is used for said image is carried out digital decoding and analog-to-digital conversion process, and the image that processing obtains is sent to processor 104;
For the accuracy of testing result, can select the high-quality image pick-up card of mould/number conversion; Can be sent to processor 104 through the image that PCI (Peripheral Component Interconnect standard) bus obtains said processing;
Said processor 104; Be used for said image is carried out analyzing and processing; Identify the total indicator reading and the led status of each instrument on the fascia, said total indicator reading and said led status are compared with preset criterion of acceptability, and according to comparative result output testing result;
In a schematic example; The concrete structure of said processor 104 can be referring to Fig. 3; Fig. 3 is the disclosed processor structure synoptic diagram of the embodiment of the invention; Referring to shown in Figure 3, processor 104 can comprise image filtering module 1041, rim detection module 1042, image binaryzation module 1043, acquisition module 1044 and judge module 1045 as a result as a result;
Said image filtering module 1041 is used for removing the noise of said image, and extracts the characteristic information in the said image;
In the collection of image, the process transmitting, obtain and handle, all images are all to some extent by visible or sightless noise " pollution "; Noise source includes electronic noise, photon noise, speckle noise and quantizing noise.If signal to noise ratio (S/N ratio) is lower than certain level, noise becomes visible particle shape gradually, will cause decrease in image quality; Except quality decline visually, noise possibly covered the important images details equally, owing to the image of gathering in industry spot; Except interference of noise, the factors such as vibration owing to video camera on illumination, the fixed support make image contamination; The countermeasure that for this reason must take is exactly that image is carried out necessary noise removal process, i.e. Filtering Processing is after Filtering Processing; Can reduce the noise information in the image; Promote signal to noise ratio (S/N ratio), strengthen some for subsequent treatment very important images characteristic, thereby improve picture quality;
The purpose of filtering has two: improve picture quality and extract characteristics of objects out; To miscellaneous noise source different noise filtering methods is arranged, can in the spatial domain, carry out, also can in frequency domain, carry out; Noise filter commonly used has linear filter, nonlinear filter, but most linear filterings have low-pass characteristic, when removing noise, edge of image have been thickened; Medium filtering is usually used in being used for protecting marginal information in Flame Image Process, is classical smooth noise method, can accomplish the satisfied recovery of not only removing noise but also protecting the image border under certain conditions; Median filtering method is a kind of nonlinear smoothing technology, and its each gray values of pixel points is set to the intermediate value of all the pixel gray-scale values in this some neighborhood window, just a kind of nonlinear filter of the median filter corresponding with it; Median filter under certain condition, it is fuzzy to overcome the image detail that linear filter (like the neighborhood smothing filtering etc.) brought, and the most effective to filtering impulse disturbances and image scanning noise; In the actual operation process, do not need the statistical property of image, this also brings many convenience, therefore in pre-service, can select medium filtering for use;
The edge is the most basic characteristic of image, is meant that image surrounding pixel gray scale has the set of those pixels of step variation or roof like variation, and it is present between target and background, target and target, zone and the zone; Whether detect the state of each pixel and its direct neighborhood, be in really on the border of an object to determine this pixel, the pixel with desirable characteristics is called as marginal point; Rim detection plays an important role in application such as computer vision, graphical analysis, is the important step of graphical analysis and identification; The essence of rim detection is to adopt certain algorithm to extract the boundary line between object and background in the image; The edge as to extract the separatrix of target and background, can significantly reduce the information processed of wanting, but keep the shape information in the image object again; Piece image is exactly an infosystem; Its bulk information is to be provided by its contour edge, and edge of image is the most concentrated place of image information, and it is comprising abundant information; Mainly show as the uncontinuity of image local feature, just the more violent place of grey scale change in the image;
It is the outstanding more image processing method of profile that makes image that edge of image detects, and it is a kind of important regional treatment technology.Rim detection will be given prominence to edge of image, and the image-region beyond the edge is weakened usually, even is completely removed; Edge brightness rate of change on every side is directly proportional among the brightness of handling the border, back and the former figure;
The main of the present invention's detection can know that through analyzing the gray scale at pointer place and the gray scale of surrounding pixel have very big variation to liking the pointer of automobile instrument, therefore can pass through the method for edge extracting and give prominence to pointer; Because edge detection operator detects the neighborhood of each pixel and rate of gray level is quantized, so can come the measuring instrument pointer through edge detection operator; In embodiments of the present invention, can adopt Laplace operator method in the edge detection operator to extract the boundary line of object and background in the image information;
Through after above-mentioned image smoothing and the Image Edge-Detection preprocessing process, will carry out binaryzation to the automobile instrument image, i.e. Threshold Segmentation is to obtain standardized images; The purpose of automobile instrument carrying out image threshold segmentation is with pointer in the image and scale is outstanding differentiates with background, so that further analyze and discern;
The image binaryzation processing is changed to 0 or 255 with the gray scale of the point on the image exactly, just entire image is demonstrated tangible black and white effect; The gray level image that is about to 256 brightness degrees is chosen through suitable threshold, and obtains still can reflect the binary image of integral image and local feature; Behind image binaryzation, help image is done further processing, the set character of image is that the position of 0 or 255 point is relevant with pixel value only, no longer relates to the multistage value of pixel, make to handle to become simple, and the processing of data and decrement is little; In order to obtain desirable binary image, the zone that the general boundary definition that adopts sealing, is communicated with does not overlap; All gray scales are judged as more than or equal to the pixel of threshold value and belong to certain objects, and its gray-scale value is 255 expressions, otherwise these pixels are excluded beyond object area, and gray-scale value is 0, the expression background or beyond object area; If certain certain objects has the gray-scale value of uniformity in inside, and it is in a homogeneous background with other grade gray-scale values, uses threshold method just can obtain reasonable segmentation effect; If object with the difference performance (different such as texture) not on gray-scale value of background, can convert this distinction into the difference of gray scale, utilize the selection of threshold technology to cut apart this image then;
Big Tianjin (Otsu) thresholding method is the maximum variance between clusters that Otsu proposes; The best practice that always is considered to threshold value robotization choosing method; It is the unsupervised threshold value back-and-forth method of a kind of automatic nonparametric; It is the maximum criterion of estimating based on inter-class variance, and best threshold value obtains when this measure function is got maximum; This method is calculated simple, and adaptivity is strong, the influence that not changed by picture contrast and brightness, thereby adopt big Tianjin thresholding method that said image information is carried out Threshold Segmentation in embodiments of the present invention, to obtain standardized images;
Through above-mentioned processing, identify the pointer image target and the pilot lamp image object of each instrument, and calculate each gauge pointer reading and pilot lamp gray-scale value on the fascia;
Whether qualified judge module 1045 as a result, be used to judge said recognition result and output judged result;
In a schematic example, the concrete structure of said judge module as a result 1045 can be referring to Fig. 4, and Fig. 4 is the structural representation of the disclosed judge module as a result of the embodiment of the invention, and is as shown in Figure 4.Said judge module as a result 1045 can comprise:
Error calculating module 10451, whether the difference that is used for judging the gauge pointer reading that identifies and received pointer reading according to preset standard signal and received pointer reading mapping table is greater than the permissible error of presetting; If, the defective indication of output meter; If not, the qualified indication of output meter;
Pilot lamp judge module 10452, whether the gray-scale value of image that is used to judge the pilot lamp that identifies is greater than preset gray threshold; If, the qualified indication of output indicator, if not, the defective indication of output indicator; Said indication can also can be exported through the warning the tinkle of bells through terminal screen output.
In other embodiment, said fascia detection system can also comprise illuminating lamp and instrument desk; Said illuminating lamp is used to fascia lighting source is provided; Said instrument desk is used for placing and the location fascia, comprises the locating slot corresponding to each instrument stitch hole on the fascia;
Further, said fascia detection system can also comprise printer, is used for the printout testing result.
In the present embodiment; Said fascia detection system comprises signal generator, video camera, image pick-up card and processor, and this system utilizes computer vision technique, after giving each instrument input drive signal of instrument panel to be detected; Gather the processing of image and the process image pick-up card and the processor of each instrument in real time; Identify the image of each instrument, and according to the image that identifies, through calculating testing result.Through the disclosed fascia detection system of the embodiment of the invention, changed the drawback of manual detection fascia, not only testing result is objective and accurate, and has improved the detection efficiency of fascia greatly.
Embodiment two
Fig. 5 is the disclosed automobile instrument board detecting method of an embodiment of the invention schematic flow sheet, and as shown in Figure 5, said method can comprise:
Step 501: each instrument that is respectively on the said fascia produces the corresponding driving signal, and said drive signal is transferred to instrument corresponding on the fascia;
Step 502: after said each instrument receives said drive signal, the image of each instrument on the said fascia of real-time collection;
Step 503: said image is carried out digital decoding and analog-to-digital conversion process;
Step 504: said image is carried out analyzing and processing; Identify the total indicator reading and the led status of each instrument on the fascia; Said total indicator reading and said led status are compared with preset criterion of acceptability, and according to comparative result output testing result;
In a schematic example, the concrete steps of step 504 can be referring to Fig. 6, and Fig. 6 is the schematic flow sheet that the disclosed processing image of the embodiment of the invention obtains testing result, and is as shown in Figure 6, can comprise:
Step 601: remove the noise in the said image, and extract the characteristic information in the said image;
Step 602: the boundary line that extracts object and background in the image;
Step 603: said image is carried out Threshold Segmentation, to obtain standardized images;
Step 604: the recognition result that calculates each instrument on the fascia according to said standardized images;
Step 605: judge the whether qualified and output judged result of said recognition result;
Wherein, comprising: whether the difference of judging the gauge pointer reading that identifies and received pointer reading according to preset standard signal and received pointer reading mapping table is greater than the permissible error of presetting; If, the defective indication of output meter; If not, the qualified indication of output meter; With, whether the gray-scale value of the image of the pilot lamp that judgement identifies is greater than preset gray threshold; If, the qualified indication of output indicator, if not, the defective indication of output indicator; Said indication can also can be exported through the warning the tinkle of bells through terminal screen output.
In the present embodiment; Said automobile instrument board detecting method utilizes computer vision technique; After giving each instrument input drive signal of instrument panel to be detected, gather the processing of image and the process image pick-up card and the processor of each instrument in real time, identify the image of each instrument; And according to the image that identifies, through calculating testing result.Through the disclosed fascia detection system of the embodiment of the invention, changed the drawback of manual detection fascia, not only testing result is objective and accurate, and has improved the detection efficiency of fascia greatly.
In this instructions between each embodiment identical similar part mutually referring to getting final product.For the embodiment disclosed method, because it is corresponding with the disclosed system of embodiment, so description is fairly simple, relevant part gets final product referring to the components of system as directed explanation.
Also need to prove; In this article; Term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability; Thereby make to comprise that process, method, article or the equipment of a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or also be included as this process, method, article or equipment intrinsic key element.Under the situation that do not having much more more restrictions, the key element that limits by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises said key element and also have other identical element.
The method of describing in conjunction with embodiment disclosed herein or the step of algorithm can be directly with the software modules of hardware, processor execution, and perhaps the combination of the two is implemented.Software module can place the storage medium of any other form known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or the technical field.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the present invention.Multiple modification to these embodiment will be conspicuous concerning those skilled in the art, and defined General Principle can realize under the situation that does not break away from the spirit or scope of the present invention in other embodiments among this paper.Therefore, the present invention will can not be restricted to these embodiment shown in this paper, but will meet and principle disclosed herein and features of novelty the wideest corresponding to scope.
Claims (10)
1. a fascia detection system is characterized in that, comprises signal generator, video camera, image pick-up card and processor;
Said signal generator is used for, and each instrument that is respectively on the said fascia produces the corresponding driving signal, and said drive signal is transferred to instrument corresponding on the fascia;
Said video camera is used for, after said each instrument receives said drive signal, and the image of each instrument on the said fascia of real-time collection, and the image of said each instrument is sent to image pick-up card;
Said image pick-up card is used for, and said image is carried out digital decoding and analog-to-digital conversion process, and the image that processing obtains is sent to processor;
Said processor is used for; The image that said processing is obtained carries out analyzing and processing; Identify the total indicator reading and the led status of each instrument on the fascia, said total indicator reading and said led status are compared with preset criterion of acceptability, and according to comparative result output testing result.
2. system according to claim 1 is characterized in that, said processor comprises:
The image filtering module is used for removing the noise of said image, and extracts the characteristic information in the said image;
The rim detection module is used for extracting the boundary line of image object and background;
The image binaryzation module is used for said image is carried out Threshold Segmentation, to obtain standardized images;
Acquisition module as a result is used for calculating according to said standardized images the recognition result of each instrument on the fascia;
Judge module as a result is used to judge whether qualified and output judged result of said recognition result;
Said judge module as a result comprises error calculating module and pilot lamp judge module;
Said error judgment module, whether the difference that is used for judging the gauge pointer reading that identifies and received pointer reading according to preset standard signal and received pointer reading mapping table is greater than the permissible error of presetting; If, the defective indication of output meter; If not, the qualified indication of output meter;
Said pilot lamp judge module, whether the gray-scale value of image that is used to judge the pilot lamp that identifies is greater than preset gray threshold; If, the qualified indication of output indicator, if not, the defective indication of output indicator.
3. system according to claim 2 is characterized in that, said image filtering module comprises the medium filtering module, is used for adopting median filtering method to remove the noise of said image information.
4. system according to claim 3 is characterized in that, said rim detection module comprises the Laplace operator module, is used for adopting La Pulisi operator algorithm to extract the boundary line of image information object and background.
5. system according to claim 4 is characterized in that, said image binaryzation module comprises big Tianjin Threshold Segmentation module, is used to adopt big Tianjin thresholding method that said image information is carried out Threshold Segmentation, to obtain standardized images.
6. system according to claim 1 is characterized in that, the quantity of said video camera is one; Or,
The quantity of instrument is identical on the quantity of said video camera and the said fascia.
7. system according to claim 6 is characterized in that, also comprises illuminating lamp and instrument desk;
Said illuminating lamp is used to fascia lighting source is provided;
Said instrument desk is used for placing and the location fascia, comprises the locating slot corresponding to each instrument stitch hole on the fascia.
8. system according to claim 7 is characterized in that, the long-living drive signal of said signal generator comprises pulse signal and current signal.
9. system according to claim 8 is characterized in that, also comprises:
Printer is used for the printout testing result.
10. an automobile instrument board detecting method is characterized in that, comprising:
Each instrument that is respectively on the said fascia produces the corresponding driving signal, and said drive signal is transferred to instrument corresponding on the fascia;
After said each instrument receives said drive signal, the image of each instrument on the said fascia of real-time collection;
Said image is carried out digital decoding and analog-to-digital conversion process;
Said image is carried out analyzing and processing, identify the total indicator reading and the led status of each instrument on the fascia, said total indicator reading and said led status are compared with preset criterion of acceptability, and according to comparative result output testing result.
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| CN111141529B (en) * | 2019-12-04 | 2022-03-22 | 惠州市德赛西威智能交通技术研究院有限公司 | Automatic test method for automobile instrument signals |
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