CN103018589A - Automatic detection device and automatic detection method for remote controller - Google Patents
Automatic detection device and automatic detection method for remote controller Download PDFInfo
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Abstract
The invention discloses an automatic detection device and an automatic detection method for a remote controller. An infrared detection circuit receives coded information sent from the remote controller, decodes the coded information to restore corresponding key information and sends the key information into a computer which then judges whether the key information corresponds to a correct command; a mechanical arm is used for replacing a human hand to press keys; an image acquisition device is utilized for acquiring a gray scale image of a liquid crystal screen of the remote controller and transmitting the gray scale image to the computer for image processing and image analysis; and the computer is also used for comparing the gray scale image with a standard gray scale image of the liquid crystal screen of the remote controller to detect faults to obtain a detection result, and then continuously carrying out displaying, statistics and saving. By use of the automatic detection device and the automatic detection method, detection correctness can be ensured, careless mistakes are reduced, the detection efficiency of products is improved and the labor cost is lowered.
Description
Technical field
The invention belongs to the detection technique field, more specifically say, relate to a kind of telepilot automatic detection device and method.
Background technology
The demand of household electrical appliances and turnout are very large, and the operation of multiple household electrical appliances and control all use a teleswitch.In the telepilot production run, essential to the quality testing of telepilot, mainly comprise the detection of three parts: the detection of button, liquid crystal display, infrared signal.General detection method is: carry out button, judge fault according to the feature of liquid-crystal display information, and whether the signal of detection infrared emission is normal.
The fault of button is divided into insensitive, and is reactionless etc.And the fault of liquid crystal display is divided into the liquid crystal pin hole, opens circuit, lack draw, poor contrast, rainbow spot etc.More than can judge by the feature that shows.
At present main detection method is manual type, requires each testing staff to detect two air-conditioning remote controls in one minute take 120 telepilots of every production line production per hour as example.And in the process of the detection of air-conditioning remote control, the detection of each telepilot needs button general more than 50 times, and the testing staff will judge that to more than 50 pictures workload is quite big.Have cost high so cause manual type to detect, efficient is low, the shortcomings such as careless mistake occur easily.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of telepilot automatic detection device and method are provided, the efficient that detects to improve remote control reduces careless mistake, reduces cost of labor.
For realizing above purpose, telepilot automatic detection device of the present invention is characterized in that, comprising: computing machine, PLC(Programmable Logic Controller, programmable logic controller (PLC)) control module, mechanical arm, worktable, image collecting device, infrared circuit;
Computing machine is given an order to the PLC control module according to the program that sets in advance, PLC control module output control signal to mechanical arm click on the telepilot fixing on the worktable with the corresponding button of order; Image collecting device gathers the telepilot liquid crystal display displays images, and send into carry out in the computing machine image process after and standard picture compare, judge whether this telepilot has display defect and defect kind; Infrared circuit receives the coded message that telepilot sends, and decodes, and restores corresponding key information, and sends in the computing machine, judges whether it is the correct corresponding key information of order; Show that not have defective and key information correct, then computing machine provides the demonstration by detecting, if key information is incorrect, display button mistake then is if having display defect then provide the kind of defective.
Telepilot automatic testing method of the present invention is characterized in that, may further comprise the steps:
(1), the icon standard picture obtains
1.1), when obtaining each button and clicking, telepilot liquid crystal display grey scale image also carries out binary conversion treatment, with gray-scale value less than or equal to threshold value g
3Pixel be set to 0, more than or equal to threshold value g
3Pixel be set to 1, obtain the binaryzation standard picture, threshold value g
3Determine according to the telepilot liquid crystal display of different model, as long as can liquid crystal display sampled grey image background part, information display section divides differentiating and processing;
1.2), adopt mean filter, the binaryzation standard picture is carried out filtering processes, remove the ghost image point, the missing point that cause when obtaining;
1.3), filtered binaryzation standard picture is carried out image segmentation, each icon is split the standard picture of each icon when obtaining each button and clicking, and depositing in the standard icon image library;
(2), detect obtaining of button and acquisition icon collection image
2.1), click remote controller key, and the telepilot liquid crystal display displays images is carried out the gray level image collection, obtain liquid crystal display sampled grey image; The coded message that telepilot is sent receives, decodes, and restores corresponding key information;
2.2), the key information of at first judging reduction key information corresponding to click keys whether, if not, display button mistake then; If so, then carry out step (2.3);
2.3), liquid crystal display sampled grey image carried out three values process, with gray-scale value less than or equal to threshold value g
1Pixel be set to 0, more than or equal to threshold value g
2Pixel be set to 1, the pixel of other gray-scale values is set to 0.5, obtains three values and gathers image, wherein threshold value g
1＜g
2, determine according to the telepilot liquid crystal display of different model, as long as can liquid crystal display sampled grey image background part, information display section divides differentiating and processing;
2.4), adopt mean filter, three values are gathered image continue filtering and process, remove and gather ghost image point, the missing point that causes;
2.5), filtered three values gathered image carry out image segmentation, each icon is split, obtain the collection image of each icon;
(3), three values of click keys gathered image segmentation each icon out gather image, respectively with the standard icon image library in the icon standard picture of corresponding click keys compare, for an icon collection image I
2:
3.1) if icon gathers image I
2Middle nonzero value number of pixels deducts icon standard picture I
1Middle nonzero value number of pixels judges then that greater than setting threshold g icon gathers image I
2Have defective, defect kind is ghost image, otherwise, turn step 3.2);
3.2), icon gathers image I
2Pixel pixel value b
X, yWith icon standard picture I
X, yThe pixel pixel value a of middle correspondence position
X, yAsk difference computing: m
X, y=b
X, y-a
X, y, wherein, x, y pixel coordinate; For in two width of cloth images all greater than 0 pixel difference m
X, yCarry out the quadratic sum computing, then ask extracting operation, if the result, illustrates then that icon gathers image and has defective greater than threshold value d, defect kind is many strokes, otherwise, turn step 3.3);
3.3), in two width of cloth images all less than 0 pixel difference m
X, yCarry out the quadratic sum computing, then ask extracting operation, if the result, illustrates then that icon gathers image and has defective greater than threshold value c, defect kind is drawn for lacking, otherwise turns step 3.4);
3.4), the statistics icon gathers image I
2Middle gray-scale value is 0.5 number of pixels, if it has outnumbered given threshold value f, can judge that icon gathers image I
2Have defective, defect kind is dark drawing, otherwise, think that icon gathers image I
2It is normal icon image;
For different big or small icon images, adopt different threshold values with upper threshold value g, threshold value d, threshold value c, threshold value f.
The object of the present invention is achieved like this:
Telepilot automatic detection device of the present invention and method, infrared circuit receives the coded message that telepilot sends, and decodes, and restores corresponding key information, and sends in the computing machine, judges whether it is the correct corresponding key information of order; Adopt mechanical arm to replace the staff button, utilize image collecting device to gather the gray level image of telepilot liquid crystal, reach computing machine, carrying out image processes and graphical analysis, and compare detection failure with telepilot liquid crystal display grey scale image, obtain testing result, and continue to show, add up and preserve.Utilize telepilot automatic detection device of the present invention and method, the correctness that can guarantee to detect, reduce careless mistake, improve the detection efficiency of product, reduce cost of labor.
Description of drawings
Fig. 1 is telepilot automatic detection device one embodiment theory diagram of the present invention;
Fig. 2 is the detection platform structural representation;
Fig. 3 is telepilot automated detection method one embodiment process flow diagram of the present invention;
Fig. 4 is the image contrast figure before and after three values of liquid crystal display sampled grey image are processed;
Fig. 5 is the image contrast figure that three values gather the Image Mean Filtering front and back;
Fig. 6 is that icon gathers the image recognition process flow diagram.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described, so that those skilled in the art understands the present invention better.What need to point out especially is that in the following description, when perhaps the detailed description of known function and design can desalinate main contents of the present invention, these were described in here and will be left in the basket.
The click of remote controller key is finished in the manually-operated that telepilot automatic detection device of the present invention simulation is present, and the robotization of tens duties and liquid crystal display situation detects.Its principle of work is: use computing machine say the word to PCL control module, PLC control module output control signal to mechanical arm click on the telepilot fixing on the worktable with the corresponding button of order, replace so traditional manual button to make the liquid crystal display of telepilot show different duties, simultaneously, utilize image collecting device to gather the demonstration image of telepilot liquid crystal display, send in the computing machine and contrast the rear testing result that shows with standard picture; Utilize infrared circuit to receive the coded message that telepilot sends, decode, restore corresponding key information, and send in the computing machine, judge whether it is the correct corresponding key information of order.
Fig. 1 is telepilot automatic detection device one embodiment theory diagram of the present invention.
In the present embodiment, as shown in Figure 1, the whole device of telepilot automatic detection device of the present invention comprises computing machine 1, PLC control module 2, mechanical arm 3, worktable 4, image collecting device 5, infrared circuit 6, wherein, mechanical arm 3 comprises source of the gas and air path part 301, a plurality of electromagnetic gas valves 302 and a plurality of cylinder 302, are connected with air path part with source of the gas and are connected by an electromagnetic gas valve 302 in the rear end of each cylinder 303, computing machine 1 is according to the program that sets in advance, give an order to the PLC control module, PLC control module output control signal is opened corresponding electromagnetic gas valve 302, the gases at high pressure of source of the gas and air path part 301 are through corresponding solenoid valve 302, with promote corresponding cylinder 303 click on the telepilot 7 fixing on the worktable 5 with the corresponding button of order.In the present embodiment, telepilot 7 is air-conditioning remote control, and 14 buttons are arranged, and corresponding electromagnetic gas valve 302, cylinder 304 are 14.
In the present embodiment, as shown in Figure 1, image collecting device 5 comprises industrial camera 501 and light fixture 502, and 502 pairs of telepilots 7 of light fixture provide illumination, and 501 pairs of telepilot liquid crystal display displays images of industrial camera gather, and send in the computing machine 1.
1, infrared detection
The order of sending according to computing machine, the cylinder 304 of mechanical arm 3 is clicked on the telepilots 7 after the corresponding button, telepilot 7 infrared transmitting tubes are edited and released out corresponding coded message, receive coded message by infrared circuit 6 and decode and restore corresponding key information, judge whether it is the correct corresponding key information of order.
2, the telepilot liquid crystal display displays images gathers
Whether worktable 5 is normal for detection of various functions such as the keystroke of telepilot 7 and demonstrations.According to the actual size of telepilot 7, be processed with particular manufacturing craft (flute profile stand) at worktable 5, its size is suitable with telepilot 7.After telepilot 7 is placed in the groove, can accurately and reliably be located.Because the relative position of flute profile stand, image collecting device 5 and mechanical arm 3 is fixing after through debugging, the position that can guarantee telepilot 7 fixedly is the working position of the industrial camera 501 of cylinder 303 keystrokes of mechanical arm 3 and image collecting device 5.
In the present embodiment, a plurality of cylinders 303 are 14 slim single action cylinders, are connected road part 301 by electromagnetic gas valve 302 and connect in the rear end of cylinder 303 with source of the gas.Carrying out telepilot when detecting, the order that PLC control module 2 sends according to computing machine, the output control signal is opened corresponding electromagnetic gas valve 302, and cylinder promotes downward keystroke by gases at high pressure, then gets back to reference position before the keystroke by the pulling of cylinder inner spring.Artificial actuation of keys is simulated in moving up and down of cylinder 303, and whether opening by the output signal of PLC unit 2 of electromagnetic gas valve 302 controlled.By revising computer program, can sequentially set the click of button.
Fig. 2 is the detection platform structural representation.
In the present embodiment, as shown in Figure 2, mechanical arm 3 and image collecting device 5 consist of detection platform.The industrial camera 501 of image collecting device 5 and light fixture 502 are connected on the frame casing 1, then are connected on the computing machine 1.The cylinder 304 of mechanical arm 3 is connected on the frame casing 1, be connected with the electromagnetic gas valve 302 in the frame casing 1, frame casing 1 also has PLC control module 2 control electromagnetic gas valves 302 to open and close, the control signal of PLC control module 2 is connected with computing machine 1, and electromagnetic gas valve 302 is connected with air path part with source of the gas and is connected.
The damage of 303 pairs of telepilots 7 of cylinder during for fear of keystroke, the floating junction place is equipped with buffer rubber gasket on cylinder 303 top.
The course of work of telepilot automatic detection device of the present invention is as follows:
1, manually telepilot 7 is put into that the precalculated position is particular manufacturing craft on the worktable 4;
2, computing machine 1 is given an order to PLC control module 2 according to the program that sets in advance, PLC control module 2 output control signals to mechanical arm 3 click on the telepilot 7 fixing on the worktable with the corresponding button of order;
3, after button is pressed at every turn, image collecting device 5(industrial camera 501) take pictures, obtain liquid crystal display sampled grey image;
4, infrared circuit 6 receives the coded message that telepilot 7 sends simultaneously, decodes, and restores corresponding key information, and sends in the computing machine, judges whether it is the correct corresponding key information of order;
5, liquid crystal display sampled grey image send into carry out in the computing machine 1 image process after and standard picture compare, judge whether this telepilot 7 has display defect and defect kind;
6, repeated for the 2nd ~ 5 step, finish until all buttons and functional status detect.
7, after detection is finished, manually from particular manufacturing craft, take out telepilot 7, then carry out the detection of next telepilot.
Fig. 3 is telepilot automated detection method one embodiment process flow diagram of the present invention.
As shown in Figure 3, in the present embodiment, telepilot automatic testing method of the present invention may further comprise the steps:
Step ST1: the obtaining of icon standard picture
ST1.1, when obtaining each button and clicking, telepilot liquid crystal display grey scale image also carries out binary conversion treatment, with gray-scale value less than or equal to threshold value g
3Pixel be set to 0, more than or equal to threshold value g
3Pixel be set to 1, obtain the binaryzation standard picture, threshold value g
3Determine according to the telepilot liquid crystal display of different model, as long as can liquid crystal display sampled grey image background part, information display section divides differentiating and processing;
ST1.2, image pre-service: adopt mean filter, the binaryzation standard picture is carried out filtering process, remove the ghost image, the disappearance that cause when obtaining;
ST1.3, image segmentation: filtered binaryzation standard picture is carried out image segmentation, each icon is split, the standard picture of each icon when obtaining each button click, and deposit in the standard icon image library;
Step ST2: detect button and obtain obtaining of icon collection image
Step ST2.1, click remote controller key, and the telepilot liquid crystal display displays images is carried out the gray level image collection, obtain liquid crystal display sampled grey image; The coded message that telepilot is sent receives, decodes, and restores corresponding key information;
Step ST2.2, key information key information corresponding to click keys whether of at first judging reduction, if not, display button mistake then; If so, then carry out step (2.3);
Step ST2.3, liquid crystal display sampled grey image carried out three values process, with gray-scale value less than or equal to threshold value g
1Pixel be set to 0, more than or equal to threshold value g
2Pixel be set to 1, the pixel of other gray-scale values is set to 0.5, obtains three values and gathers image, wherein threshold value g
1＜g
2, determine according to the telepilot liquid crystal display of different model, as long as can liquid crystal display sampled grey image background part, information display section divides differentiating and processing.
Image before and after three values of liquid crystal display sampled grey image are processed contrasts the front and back image shown in Fig. 4 (a) and (b), it is relatively good that three values gather image graphics, some place is owing to taking light, fault etc. reason, ghost image is arranged, disappearance is arranged, also will pass through the image pre-service.
Step ST2.4, image pre-service: adopt mean filter, three values are gathered image continue the filtering processing, remove and gather ghost image point, the missing point that causes;
(1) observes by three values collection image is put in the image processing software, find that the position of ghost image point shows 3 to 6 pixels of information pixels point approximately apart;
(2) mean filter: set a 11*11 matrix, scan take its central point as benchmark, ghost image point, missing point coverage rate are reached more than 70%, about it, about, northeast, the southeast, the northwest, the gray-scale value of each point of southwest and the gray-scale value of central point are poor, and it is 0.5 that difference is set, if make difference more than 50% greater than 0.5, then with the negate of central point gray-scale value, namely originally be 1 become 0, originally be 0 become 1.
(3), through mean filter, most ghost image points have been white (gray-scale value is 0), missing point blackening (gray-scale value is 1), on the fault judgement without any impact.
Fig. 5 is the image contrast figure that three values gather the Image Mean Filtering front and back.Fig. 5 has only provided parts of images and has compared, as shown in Figure 5, because light fixture fluorescent tube, the reasons such as industrial camera position, the liquid crystal display sampled grey image that causes gathering just has various ghost image points, even missing point, processes through certain image binaryzation, obtain image shown in Fig. 5 (a), more serious ghost image point is arranged.Therefore need filtering to process, obtained the image shown in Fig. 5 (b), this image ratio is cleaner, the easier fault verification that carries out.
Step ST2.5, filtered three values are gathered image carry out image segmentation, each icon is split, obtain the collection image of each icon.
Be to cut apart according to coordinate about image segmentation, according to the position at icon place, determine its coordinate range, then the image in this coordinate range is taken out, obtain the collection image of each icon.
In the present embodiment, air-conditioning remote control one has 18 isolated areas, and the collection image of the icon after cutting apart is:
Table 1
Step ST3: icon gathers image recognition, obtains recognition result and feeds back to computing machine.
Three values of click keys are gathered image segmentation each icon out gather image, respectively with the standard icon image library in the icon standard picture of corresponding click keys compare, for an icon collection image I
2:
Fig. 6 is that icon gathers the image recognition process flow diagram.
As shown in Figure 6, in the present embodiment, icon gathers image recognition and may further comprise the steps:
If step ST3.1 icon gathers image I
2Middle nonzero value number of pixels deducts icon standard picture I
1Middle nonzero value number of pixels judges then that greater than setting threshold g icon gathers image I
2Have defective, defect kind is ghost image, otherwise, turn step ST3.2;
Step ST3.2, icon gather image I
2Pixel pixel value b
X, yWith icon standard picture I
X, yThe pixel pixel value a of middle correspondence position
X, yAsk difference computing: m
X, y=b
X, y-a
X, y, wherein, x, y pixel coordinate; For in two width of cloth images all greater than 0 pixel difference m
X, yCarry out the quadratic sum computing, then ask extracting operation, if the result is greater than threshold value d namely:
Illustrate that then icon gathers image and has defective, defect kind is many strokes, otherwise, turn step ST3.3);
Step ST3.3, in two width of cloth images all less than 0 pixel difference m
X, yCarry out the quadratic sum computing, then ask extracting operation, if the result is greater than threshold value c namely:
Illustrate that then icon gathers image and has defective, defect kind is drawn for lacking, otherwise turns step ST3.4;
Step ST3.4, statistics icon gather image I
2Middle gray-scale value is 0.5 number of pixels, if it has outnumbered given threshold value f namely:
∑I
2(0.5)≥f
Judge that then icon gathers image I
2Have defective, defect kind is dark drawing, otherwise, think that icon gathers image I
2It is normal icon image;
For different big or small icon images, adopt different threshold values with upper threshold value g, threshold value d, threshold value c, threshold value f.In specific implementation process, threshold value g, threshold value d, threshold value c select icon to gather image I
2Or icon gathers image I
2About 3% of middle non-zero pixels number sum; Threshold value f selects icon to gather image I
2Or icon gathers image I
2About 7% of middle non-zero pixels number sum.
Although the above is described the illustrative embodiment of the present invention; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various variations appended claim limit and the spirit and scope of the present invention determined in, these variations are apparent, all utilize innovation and creation that the present invention conceives all at the row of protection.
Claims (5)
1. a telepilot automatic detection device is characterized in that, comprising: computing machine, PLC control module, mechanical arm, worktable, image collecting device, infrared circuit;
Computing machine is given an order to the PLC control module according to the program that sets in advance, PLC control module output control signal to mechanical arm click on the telepilot fixing on the worktable with the corresponding button of order; Image collecting device gathers the telepilot liquid crystal display displays images, and send into carry out in the computing machine image process after and standard picture continue to compare, judge whether this telepilot has display defect and defect kind; Infrared circuit receives the coded message that telepilot sends, and decodes, and restores corresponding key information, and sends in the computing machine, judges whether it is the correct corresponding key information of order; Show that not have defective and key information correct, then computing machine provides the demonstration by detecting, if key information is incorrect, display button mistake then is if having display defect then provide the kind of defective.
2. automatic detection device according to claim 1 is characterized in that, described mechanical arm comprises source of the gas and air path part, a plurality of electromagnetic gas valve and a plurality of cylinder;
The rear end of each cylinder is connected with air path part with source of the gas by an electromagnetic gas valve, computing machine is according to the program that sets in advance, give an order to the PLC control module, PLC control module output control signal is opened corresponding electromagnetic gas valve, the gases at high pressure of source of the gas and air path part are through corresponding solenoid valve, with promote corresponding cylinder click on the telepilot fixing on the worktable with the corresponding button of order.
3. a telepilot automatic testing method is characterized in that, may further comprise the steps:
(1), the icon standard picture obtains
1.1), when obtaining each button and clicking, telepilot liquid crystal display grey scale image also carries out binary conversion treatment, with gray-scale value less than or equal to threshold value g
3Pixel be set to 0, more than or equal to threshold value g
3Pixel be set to 1, obtain the binaryzation standard picture, threshold value g
3Determine according to the telepilot liquid crystal display of different model, as long as can liquid crystal display sampled grey image background part, information display section divides differentiating and processing;
1.2), adopt mean filter, the binaryzation standard picture is carried out filtering processes, remove the ghost image point, the missing point that cause when obtaining;
1.3), filtered binaryzation standard picture is carried out image segmentation, each icon is split the standard picture of each icon when obtaining each button and clicking, and depositing in the standard icon image library;
(2), detect obtaining of button and acquisition icon collection image
2.1), click remote controller key, and the telepilot liquid crystal display displays images is carried out the gray level image collection, obtain liquid crystal display sampled grey image; The coded message that telepilot is sent receives, decodes, and restores corresponding key information;
2.2), the key information of at first judging reduction key information corresponding to click keys whether, if not, display button mistake then; If so, then carry out step (2.3);
2.3), liquid crystal display sampled grey image carried out three values process, with gray-scale value less than or equal to threshold value g
1Pixel be set to 0, more than or equal to threshold value g
2Pixel be set to 1, the pixel of other gray-scale values is set to 0.5, obtains three values and gathers image, wherein threshold value g
1＜g
2, determine according to the telepilot liquid crystal display of different model, as long as can liquid crystal display sampled grey image background part, information display section divides differentiating and processing;
2.4), adopt mean filter, three values are gathered image continue filtering and process, remove and gather ghost image point, the missing point that causes;
2.5), filtered three values gathered image carry out image segmentation, each icon is split, obtain the collection image of each icon;
(3), three values of click keys gathered image segmentation each icon out gather image, respectively with the standard icon image library in the icon standard picture of corresponding click keys compare, for an icon collection image I
2:
3.1) if icon gathers image I
2Middle nonzero value number of pixels deducts icon standard picture I
1Middle nonzero value number of pixels judges then that greater than setting threshold g icon gathers image I
2Have defective, defect kind is ghost image, otherwise, turn step 3.2);
3.2), icon gathers image I
2Pixel pixel value b
X, yWith icon standard picture I
X, yThe pixel pixel value a of middle correspondence position
X, yAsk difference computing: m
X, y=b
X, y-a
X, y, wherein, x, y pixel coordinate; For in two width of cloth images all greater than 0 pixel difference m
X, yCarry out the quadratic sum computing, then ask extracting operation, if the result, illustrates then that icon gathers image and has defective greater than threshold value d, defect kind is many strokes, otherwise, turn step 3.3);
3.3), in two width of cloth images all less than 0 pixel difference m
X, yCarry out the quadratic sum computing, then ask extracting operation, if the result, illustrates then that icon gathers image and has defective greater than threshold value c, defect kind is drawn for lacking, otherwise turns step 3.4);
3.4), the statistics icon gathers image I
2Middle gray-scale value is 0.5 number of pixels, if it has outnumbered given threshold value f, can judge that icon gathers image I
2Have defective, defect kind is dark drawing, otherwise, think that icon gathers image I
2It is normal icon image;
For different big or small icon images, adopt different threshold values with upper threshold value g, threshold value d, threshold value c, threshold value f.
4. automatic testing method according to claim 3 is characterized in that, described mean filter is:
Set a 11*11 matrix, scan take its central point as benchmark, ghost image point, missing point coverage rate are reached more than 70%, about it, about, northeast, the southeast, the northwest, the gray-scale value of each point of southwest and the gray-scale value of central point are poor, and it is 0.5 that difference is set, if make difference more than 50% greater than 0.5, then with the negate of central point gray-scale value, namely originally be 1 become 0, originally be 0 become 1.
5. automatic testing method according to claim 3 is characterized in that, described threshold value g, threshold value d, threshold value c select icon to gather image I
2Or icon gathers image I
2About 3% of middle non-zero pixels number sum; Threshold value f selects icon to gather image I
2Or icon gathers image I
2About 7% of middle non-zero pixels number sum.
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| CN110987926A (en) * | 2019-11-13 | 2020-04-10 | 上海大学 | Automatic display screen defect detection method based on machine vision |
| CN112631237A (en) * | 2020-11-30 | 2021-04-09 | 珠海格力智能装备有限公司 | Detection method, device and system of wire controller and nonvolatile storage medium |
| CN113379680A (en) * | 2021-05-18 | 2021-09-10 | 上海闻泰信息技术有限公司 | Defect detection method, defect detection device, electronic equipment and computer readable storage medium |
| CN114972825A (en) * | 2022-07-19 | 2022-08-30 | 天津七一二移动通信有限公司 | Method for realizing automatic detection of MMI key icon matrix |
| CN114972825B (en) * | 2022-07-19 | 2022-12-13 | 天津七一二移动通信有限公司 | Method for realizing automatic detection of MMI key icon matrix |
| CN115793518A (en) * | 2022-11-08 | 2023-03-14 | 深圳市矽昊智能科技有限公司 | Method, device and equipment for acquiring universal remote control coding information and readable storage medium |
| CN115793518B (en) * | 2022-11-08 | 2024-03-19 | 深圳市矽昊智能科技有限公司 | Method, device, equipment and readable storage medium for obtaining universal remote control coding information |
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