CN103018589B - Automatic detection device and automatic detection method for remote controller - Google Patents

Automatic detection device and automatic detection method for remote controller Download PDF

Info

Publication number
CN103018589B
CN103018589B CN201210485582.8A CN201210485582A CN103018589B CN 103018589 B CN103018589 B CN 103018589B CN 201210485582 A CN201210485582 A CN 201210485582A CN 103018589 B CN103018589 B CN 103018589B
Authority
CN
China
Prior art keywords
image
icon
threshold value
pixel
liquid crystal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201210485582.8A
Other languages
Chinese (zh)
Other versions
CN103018589A (en
Inventor
詹惠琴
孙兴信
古军
杨红宇
孙强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Electronic Science and Technology of China
Original Assignee
University of Electronic Science and Technology of China
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Electronic Science and Technology of China filed Critical University of Electronic Science and Technology of China
Priority to CN201210485582.8A priority Critical patent/CN103018589B/en
Publication of CN103018589A publication Critical patent/CN103018589A/en
Application granted granted Critical
Publication of CN103018589B publication Critical patent/CN103018589B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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

A kind of telepilot automatic testing method
Technical field
The invention belongs to 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 operation and the control of multiple household electrical appliances all use a teleswitch.In 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, and the feature according to liquid-crystal display information judges fault, and whether the signal detecting infrared emission is normal.
The fault of button is divided into insensitive, reactionless etc.And the fault of liquid crystal display is divided into liquid crystal pin hole, open circuit, scarce stroke, poor contrast, rainbow spot etc.More than can be judged by the feature of display.
Detection method main is at present manual type, produces 120 telepilots for every bar production line per hour, requires that each testing staff detects two air-conditioning remote controls in one minute.And in the process of the detection of air-conditioning remote control, the detection of each telepilot needs button general more than 50 times, testing staff will judge 50 multiple pictures, and workload is quite big.Have cost high so cause manual type to detect, efficiency is low, easily occurs the shortcomings such as careless mistake.
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, to improve the efficiency that remote control detects, reduce careless mistake, reduce cost of labor.
For realizing above object, 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, according to the program pre-set, is given an order to PLC control unit, and PLC control unit exports control signal to the button corresponding to order on telepilot fixing on mechanical arm click worktable; Image collecting device gathers telepilot liquid crystal display displays images, and send into carry out image procossing in computing machine after compare with standard picture, judge whether this telepilot has display defect and defect kind; Infrared circuit receives the coded message that sends of telepilot, decodes, restores corresponding key information, and send in computing machine, judges whether it is the corresponding key information of correct order; Display does not have defect and key information is correct, then computing machine is given by the display of detection, if key information is incorrect, then display button mistake, if there is display defect, provides the kind of defect.
Telepilot automatic testing method of the present invention, is characterized in that, comprise the following steps:
(1), the acquisition of icon standard image
1.1), obtain each button click time, telepilot liquid crystal display grey scale image also carries out binary conversion treatment, and gray-scale value is less than or equal to threshold value g 3pixel be set to 0, be more than or equal to threshold value g 3pixel be set to 1, obtain binaryzation standard picture, threshold value g 3telepilot liquid crystal display according to different model is determined, as long as energy liquid crystal display sampled grey image background part, information display section differentiating and processing;
1.2), adopt mean filter, filtering process is carried out to binaryzation standard picture, remove the ghost image point, the missing point that cause when obtaining;
1.3), to filtered binaryzation standard picture carry out Iamge Segmentation, each icon is split, obtain the standard picture of each icon when each button is clicked, and stored in standard icon image library;
(2), detect button and obtain the acquisition that icon gathers image
2.1), click remote controller key, and gray level image collection is carried out to telepilot liquid crystal display displays images, obtain liquid crystal display sampled grey image; The coded message sent telepilot receives, decodes, and restores corresponding key information;
2.2), first judge that whether the key information reduced is key information corresponding to click keys, if not, then display button mistake; If so, then step (2.3) is carried out;
2.3), to liquid crystal display sampled grey image carry out three-valued processing, gray-scale value is less than or equal to threshold value g 1pixel be set to 0, be 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-valued collection image, wherein threshold value g 1<g 2, the telepilot liquid crystal display according to different model is determined, as long as energy liquid crystal display sampled grey image background part, information display section differentiating and processing;
2.4), adopt mean filter, filtering process is continued to three-valued collection image, remove the ghost image point, the missing point that gather and cause;
2.5), to filtered three-valued collection image carry out Iamge Segmentation, each icon is split, obtain the collection image of each icon;
(3), by the three-valued collection Iamge Segmentation of click keys each icon out gather image, the icon standard image of click keys corresponding with standard icon image library respectively compares, and gathers image I for an icon 2:
3.1) if icon gathers image I 2middle non-zero value pixels number deducts icon standard image I 1middle non-zero value pixels number is greater than setting threshold value g, then judge that icon gathers image I 2existing defects, defect kind is ghost image, otherwise, go to step 3.2);
3.2), icon gathers image I 2pixel pixel value b x, ywith icon standard image I x, ythe pixel pixel value a of middle correspondence position x,yask difference operation: m x,y=b x, y-a x, y, wherein, x, y pixel coordinate; For pixel difference m being greater than 0 all in two width images x, ycarry out quadratic sum computing, then ask extracting operation, if result is greater than threshold value d, then illustrate that icon gathers image existing defects, defect kind is many strokes, otherwise, go to step 3.3);
3.3), for pixel difference m being less than 0 all in two width images x, ycarry out quadratic sum computing, then ask extracting operation, if result is greater than threshold value c, then illustrate that icon gathers image existing defects, defect kind is drawn for lacking, otherwise goes to step 3.4);
3.4), add up icon and gather image I 2middle gray-scale value is the number of pixels of 0.5, if its number has exceeded given threshold value f, can judge that icon gathers image I 2existing defects, defect kind is dark drawing, otherwise, think that icon gathers image I 2it is normogram logo image;
With upper threshold value g, threshold value d, threshold value c, threshold value f for the icon image of different size, adopt different threshold values.
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 sends of telepilot, decodes, restores corresponding key information, and send in computing machine, judges whether it is the corresponding key information of correct order; Mechanical arm is adopted to replace staff button, utilize the gray level image of image acquisition device telepilot liquid crystal, reach computing machine, carry out image procossing and graphical analysis, and carry out contrast detection failure with telepilot liquid crystal display grey scale image, obtain testing result, and continue display, statistics and preserve.Utilize telepilot automatic detection device of the present invention and method, the correctness, the minimizing careless mistake that detect can be ensured, improve the detection efficiency of product, reduce cost of labor.
Accompanying drawing explanation
Fig. 1 is telepilot automatic detection device one embodiment theory diagram of the present invention;
Fig. 2 is 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 liquid crystal display sampled grey image three-valued processing;
Fig. 5 is the image contrast figure before and after three-valued collection Image Mean Filtering;
Fig. 6 is that icon gathers 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.Requiring particular attention 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 are described in and will be left in the basket here.
Current manual operation simulated by telepilot automatic detection device of the present invention, completes the click of remote controller key, and the Aulomatizeted Detect of tens duties and liquid crystal display situation.Its principle of work is: use computing machine to say the word to PCL control module, PLC control unit output control signal to the button corresponding to order on telepilot fixing on mechanical arm click worktable, the traditional manual button of such replacement makes the liquid crystal display of telepilot show different duties, simultaneously, utilize the display image of image acquisition device telepilot liquid crystal display, send into after contrasting with standard picture in computing machine and show testing result; Utilize infrared circuit to receive the coded message that sends of telepilot, decode, restore corresponding key information, and send in computing machine, judge whether it is the corresponding key information of correct 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 unit 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, multiple electromagnetic gas valve 302 and multiple cylinder 302, the rear end of each cylinder 303 is connected with source of the gas and air path part 301 by an electromagnetic gas valve 302, computing machine 1 is according to the program pre-set, give an order to PLC control unit, PLC control unit exports control signal and opens 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, the corresponding cylinder 303 of promotion is clicked the button corresponding to order on telepilot 7 fixing on worktable 5.In the present embodiment, telepilot 7 is air-conditioning remote control, has 14 buttons, 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 light fixture 502 pairs of telepilots 7 provide illumination, and industrial camera 501 pairs of telepilot liquid crystal display displays images gather, and send in computing machine 1.
1, infrared detection
According to the order that computing machine sends, the cylinder 304 of mechanical arm 3 to be clicked on telepilot 7 after corresponding button, telepilot 7 infrared transmitting tube edits and releases out corresponding coded message, receive coded message by infrared circuit 6 to carry out decoded back and go out corresponding key information, judge whether it is the corresponding key information of correct order.
2, telepilot liquid crystal display displays images gathers
Whether worktable 5 is normal for the various functions such as keystroke and display detecting telepilot 7.According to the actual size of telepilot 7, worktable 5 is processed with particular manufacturing craft (flute profile stand), and its size is suitable with telepilot 7.When telepilot 7 is placed into after in 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 debugging, can guarantee that the position of telepilot 7 is fixedly the working position of cylinder 303 keystroke of mechanical arm 3 and the industrial camera 501 of image collecting device 5.
In the present embodiment, multiple cylinder 303 is 14 slim single action cylinders, and the rear end of cylinder 303 is connected by electromagnetic gas valve 302 and source of the gas gentle road part 301.When carrying out telepilot and detecting, the order that PLC control unit 2 sends according to computing machine, export control signal and open corresponding electromagnetic gas valve 302, cylinder promotes downward keystroke by gases at high pressure, then pulls the reference position before getting back to keystroke by cylinder inner spring.Artificial actuation of keys is simulated in moving up and down of cylinder 303, and whether opening of electromagnetic gas valve 302 is controlled by the output signal of PLC unit 2.By amendment computer program, can set the click order of button.
Fig. 2 is detection platform structural representation.
In the present embodiment, as shown in Figure 2, mechanical arm 3 and image collecting device 5 form detection platform.The industrial camera 501 of image collecting device 5 and light fixture 502 are connected on frame casing 1, are then connected on computing machine 1.The cylinder 304 of mechanical arm 3 is connected on frame casing 1, be connected with the electromagnetic gas valve 302 in frame casing 1, frame casing 1 also has PLC control unit 2 to control electromagnetic gas valve 302 to open and close, the control signal of PLC control unit 2 is connected with computing machine 1, and electromagnetic gas valve 302 is connected with source of the gas and air path part 301.
In order to avoid the damage of the 303 pairs of telepilots 7 of cylinder during keystroke, on cylinder 303 top, floating junction place is provided with buffer rubber gasket.
The course of work of telepilot automatic detection device of the present invention is as follows:
1, manually telepilot 7 is put into precalculated position and particular manufacturing craft on worktable 4;
2, computing machine 1 is according to the program pre-set, and gives an order to PLC control unit 2, and PLC control unit 2 exports control signal and to click on worktable the button corresponding to order on fixing telepilot 7 to mechanical arm 3;
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, simultaneously infrared circuit 6 receives the coded message that telepilot 7 sends, and decodes, restores corresponding key information, and send in computing machine, judges whether it is the corresponding key information of correct order;
5, liquid crystal display sampled grey image is compared with standard picture after sending into and carrying out image procossing in computing machine 1, judges whether this telepilot 7 has display defect and defect kind;
6,2nd ~ 5 steps are repeated, until all buttons and functional status have detected.
7, after having detected, 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 comprises the following steps:
Step ST1: the acquisition of icon standard image
ST1.1, obtain each button click time, telepilot liquid crystal display grey scale image also carries out binary conversion treatment, and gray-scale value is less than or equal to threshold value g 3pixel be set to 0, be more than or equal to threshold value g 3pixel be set to 1, obtain binaryzation standard picture, threshold value g 3telepilot liquid crystal display according to different model is determined, as long as energy liquid crystal display sampled grey image background part, information display section differentiating and processing;
ST1.2, Image semantic classification: adopt mean filter, carry out filtering process to binaryzation standard picture, remove the ghost image, the disappearance that cause when obtaining;
ST1.3, Iamge Segmentation: carry out Iamge Segmentation to filtered binaryzation standard picture, split by each icon, obtain the standard picture of each icon when each button is clicked, and stored in standard icon image library;
Step ST2: detect button and obtain the acquisition that icon gathers image
Step ST2.1, click remote controller key, and gray level image collection is carried out to telepilot liquid crystal display displays images, obtain liquid crystal display sampled grey image; The coded message sent telepilot receives, decodes, and restores corresponding key information;
Step ST2.2, first judge that whether the key information reduced is key information corresponding to click keys, if not, then display button mistake; If so, then step (2.3) is carried out;
Step ST2.3, three-valued processing is carried out to liquid crystal display sampled grey image, gray-scale value is less than or equal to threshold value g 1pixel be set to 0, be 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-valued collection image, wherein threshold value g 1<g 2, the telepilot liquid crystal display according to different model is determined, as long as can liquid crystal display sampled grey image background part, information display section differentiating and processing.
Image before and after liquid crystal display sampled grey image three-valued processing is as shown in Fig. 4 (a) and (b), and contrast front and back image, three-valued collection image graphics is relatively good, some place is due to shooting light, fault etc. reason, there is ghost image, have disappearance, also will through Image semantic classification.
Step ST2.4, Image semantic classification: adopt mean filter, continue filtering process to three-valued collection image, removes the ghost image point, the missing point that gather and cause;
(1) observe by three-valued collection image is put in image processing software, find that the position of ghost image point is approximately at a distance of display information pixels point 3 to 6 pixels;
(2) mean filter: set a 11*11 matrix, with its central point for benchmark scans, can make ghost image point, missing point coverage rate reaches more than 70%, it is upper and lower, left and right, northeast, the southeast, northwest, the gray-scale value of each gray-scale value put of southwest and central point is poor, and arranging difference is 0.5, if make the difference of more than 50% be greater than 0.5, then by the negate of central point gray-scale value, be namely originally 1 become 0, be originally 0 become 1.
(3), through mean filter, most ghost image point has been white (gray-scale value is 0), and missing point blackening (gray-scale value is 1), on breakdown judge without any impact.
Fig. 5 is the image contrast figure before and after three-valued collection Image Mean Filtering.Fig. 5 only gives parts of images and contrasts, as shown in Figure 5, due to light fixture fluorescent tube, the reasons such as industrial camera position, the liquid crystal display sampled grey image gathered is caused just to have various ghost image point, even missing point, through certain image binaryzation process, obtain image shown in Fig. 5 (a), have more serious ghost image point.Therefore need filtering process, obtain the image shown in Fig. 5 (b), this image ratio is comparatively clean, more easily carries out fault verification.
Step ST2.5, Iamge Segmentation is carried out to filtered three-valued collection image, each icon is split, obtains the collection image of each icon.
Be split according to coordinate about Iamge 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 segmentation is:
Table 1
Step ST3: icon gathers image recognition, obtains recognition result and feeds back to computing machine.
The three-valued collection Iamge Segmentation of click keys each icon is out gathered image, and the icon standard image of click keys corresponding with standard icon image library respectively compares, and gathers image I for an icon 2:
Fig. 6 is that icon gathers image recognition process flow diagram.
As shown in Figure 6, in the present embodiment, icon collection image recognition comprises the following steps:
If step ST3.1 icon gathers image I 2middle non-zero value pixels number deducts icon standard image I 1middle non-zero value pixels number is greater than setting threshold value g, then judge that icon gathers image I 2existing defects, defect kind is ghost image, otherwise, go to step ST3.2;
Step ST3.2, icon gather image I 2pixel pixel value b x, ywith icon standard image I x, ythe pixel pixel value a of middle correspondence position x,yask difference operation: m x, y=b x, y-a x, y, wherein, x, y pixel coordinate; For pixel difference m being greater than 0 all in two width images x, ycarry out quadratic sum computing, then ask extracting operation, if namely result is greater than threshold value d:
&Sigma; m x , y > 0 m x , y 2 &GreaterEqual; d
Then illustrate that icon gathers image existing defects, defect kind is many strokes, otherwise, go to step ST3.3);
Step ST3.3, for pixel difference m being less than 0 all in two width images x,ycarry out quadratic sum computing, then ask extracting operation, if namely result is greater than threshold value c:
&Sigma; m x , y < 0 m x , y 2 &GreaterEqual; c
Then illustrate that icon gathers image existing defects, defect kind is drawn for lacking, otherwise goes to step ST3.4;
Step ST3.4, statistics icon gather image I 2middle gray-scale value is the number of pixels of 0.5, if namely its number exceedes given threshold value f:
∑I 2(0.5)≥f
Then judge that icon gathers image I 2existing defects, defect kind is dark drawing, otherwise, think that icon gathers image I 2it is normogram logo image;
With upper threshold value g, threshold value d, threshold value c, threshold value f for the icon image of different size, adopt different threshold values.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 be described the illustrative embodiment of the present invention above; 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 change to limit and in the spirit and scope of the present invention determined, these changes are apparent, and all innovation and creation utilizing the present invention to conceive are all at the row of protection in appended claim.

Claims (1)

1. a telepilot automatic testing method, is characterized in that, comprises the following steps:
(1), the acquisition of icon standard image
1.1), obtain each button click time, telepilot liquid crystal display grey scale image also carries out binary conversion treatment, and gray-scale value is less than threshold value g 3pixel be set to 0, be more than or equal to threshold value g 3pixel be set to 1, obtain binaryzation standard picture, threshold value g 3telepilot liquid crystal display according to different model is determined, as long as can make liquid crystal display sampled grey image background part, information display section differentiating and processing;
1.2), adopt mean filter, filtering process is carried out to binaryzation standard picture, remove the ghost image point, the missing point that cause when obtaining;
1.3), to filtered binaryzation standard picture carry out Iamge Segmentation, each icon is split, obtain the standard picture of each icon when each button is clicked, and stored in standard icon image library;
(2) acquisition of button and icon collection image, is detected
2.1), click remote controller key, and gray level image collection is carried out to telepilot liquid crystal display displays images, obtain liquid crystal display sampled grey image; The coded message sent telepilot receives, decodes, and restores corresponding key information;
2.2), first judge that whether the key information reduced is key information corresponding to click keys, if not, then display button mistake; If so, then carry out step 2.3);
2.3), to liquid crystal display sampled grey image carry out three-valued processing, gray-scale value is less than or equal to threshold value g 1pixel be set to 0, be 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-valued collection image, wherein threshold value g 1<g 2, the telepilot liquid crystal display according to different model is determined, as long as can make liquid crystal display sampled grey image background part, information display section differentiating and processing;
2.4), adopt mean filter, filtering process is carried out to three-valued collection image, remove the ghost image point, the missing point that gather and cause;
2.5), to filtered three-valued collection image carry out Iamge Segmentation, each icon is split, obtain the collection image of each icon;
(3), by the three-valued collection Iamge Segmentation of click keys each icon out gather image, the icon standard image of click keys corresponding with standard icon image library respectively compares, and gathers image I for an icon 2:
3.1) if icon gathers image I 2middle non-zero value pixels number deducts icon standard image I 1middle non-zero value pixels number is greater than setting threshold value g, then judge that icon gathers image I 2existing defects, defect kind is ghost image, otherwise, go to step 3.2);
3.2), icon gathers image I 2pixel pixel value b x,ywith icon standard image I x,ythe pixel pixel value a of middle correspondence position x,yask difference operation: m x,y=b x,y-a x,y, wherein, x, y are pixel coordinate; For pixel difference m being greater than 0 all in two width images x,ycarry out quadratic sum computing, then ask extracting operation, if result is greater than threshold value d, then illustrate that icon gathers image I 2existing defects, defect kind is many strokes, otherwise, go to step 3.3);
3.3), for pixel difference m being less than 0 all in two width images x,ycarry out quadratic sum computing, then ask extracting operation, if result is greater than threshold value c, then illustrate that icon gathers image I 2existing defects, defect kind is drawn for lacking, otherwise goes to step 3.4);
3.4), add up icon and gather image I 2middle gray-scale value is the number of pixels of 0.5, if its number has exceeded given threshold value f, can judge that icon gathers image I 2existing defects, defect kind is dark drawing, otherwise, think that icon gathers image I 2it is normogram logo image;
With upper threshold value g, threshold value d, threshold value c, threshold value f for the icon image of different size, adopt different threshold values.
CN201210485582.8A 2012-11-26 2012-11-26 Automatic detection device and automatic detection method for remote controller Expired - Fee Related CN103018589B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210485582.8A CN103018589B (en) 2012-11-26 2012-11-26 Automatic detection device and automatic detection method for remote controller

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210485582.8A CN103018589B (en) 2012-11-26 2012-11-26 Automatic detection device and automatic detection method for remote controller

Publications (2)

Publication Number Publication Date
CN103018589A CN103018589A (en) 2013-04-03
CN103018589B true CN103018589B (en) 2014-12-24

Family

ID=47967421

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210485582.8A Expired - Fee Related CN103018589B (en) 2012-11-26 2012-11-26 Automatic detection device and automatic detection method for remote controller

Country Status (1)

Country Link
CN (1) CN103018589B (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103631233B (en) * 2013-12-04 2016-10-19 高玉娟 A kind of visual remote intelligent controller
CN104034990B (en) * 2014-06-30 2017-02-01 珠海格力电器股份有限公司 Remote control testing method and system
CN105336287B (en) * 2014-08-06 2019-08-06 珠海格力电器股份有限公司 Test method, the device and system of display screen
CN104133175B (en) * 2014-08-15 2017-04-19 广州视源电子科技股份有限公司 Key testing method
CN104375081A (en) * 2014-11-05 2015-02-25 浙江杭一电器有限公司 Intelligent key detecting system and using method thereof
CN104483587A (en) * 2014-12-05 2015-04-01 深圳市创荣发电子有限公司 Control product batch testing method
CN107945498B (en) * 2017-10-24 2020-11-17 北京臻迪科技股份有限公司 Remote controller test method and device and test terminal
CN108122404B (en) * 2017-10-24 2021-04-27 珠海格力电器股份有限公司 Radio frequency transmitting device and fault detection method, device and storage medium thereof
CN110246327A (en) * 2019-07-15 2019-09-17 珠海格力智能装备有限公司 The detection method and device of remote controler, storage medium, processor
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

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101571992A (en) * 2008-04-30 2009-11-04 杭州士兰微电子股份有限公司 Systems and method for testing remote controller
CN102074108A (en) * 2010-12-24 2011-05-25 苏州华芯微电子股份有限公司 Remote control code intelligent decoding system
CN202002987U (en) * 2011-02-21 2011-10-05 珠海格力电器股份有限公司 System for detecting remote controller

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5188299B2 (en) * 2008-07-11 2013-04-24 中国電力株式会社 Display test equipment
WO2011068268A1 (en) * 2009-12-05 2011-06-09 광전자정밀주식회사 Led test method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101571992A (en) * 2008-04-30 2009-11-04 杭州士兰微电子股份有限公司 Systems and method for testing remote controller
CN102074108A (en) * 2010-12-24 2011-05-25 苏州华芯微电子股份有限公司 Remote control code intelligent decoding system
CN202002987U (en) * 2011-02-21 2011-10-05 珠海格力电器股份有限公司 System for detecting remote controller

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
JP特开2010-19756A 2010.01.28 *
控制器面板自动检测系统的研究与开发;刘金平 等;《计算机工程与设计》;20090831(第16期);3900-3902 *
遥控器的按键和图像自动检测仪;刘煦 等;《自动化与仪表》;20120131(第1期);参见第53页右栏,第54页左栏,第55页左栏第16-21行,右栏倒数第13行-倒数第4行、第56页左栏 *

Also Published As

Publication number Publication date
CN103018589A (en) 2013-04-03

Similar Documents

Publication Publication Date Title
CN103018589B (en) Automatic detection device and automatic detection method for remote controller
CN101551435B (en) Method for detecting corona discharging and device thereof
CN104441526A (en) Online mold monitoring and protecting system and method based on contour matching
CN104048966B (en) The detection of a kind of fabric defect based on big law and sorting technique
CN105005969B (en) A kind of bill images alter detection method and system
CN104535589A (en) Online detection method and device for low-voltage current mutual inductor
CN100562134C (en) A kind of test macro of digital display device and method of testing thereof
CN102692216A (en) Real-time optical fiber winding defect detection method based on machine vision technology
EP1808018B1 (en) Image sensor annotation method and apparatus
CN105260716A (en) Fault indicator state identification method and fault indicator state identification device
CN102081895A (en) Light emitting diode (LED) display screen fault acquisition and analysis system
CN104483243A (en) Adhered-rice detection and segmentation method, device and system
CN104966348A (en) Ticket image element integrity detection method and system
CN104399674A (en) Smoke box brand visual inspection sorting system
CN103616776B (en) The apparatus and method of a kind of machine automatic gauging liquid crystal module and assembling one
CN104977154A (en) Defect classification method of spatial light modulator with sub pixel structures
CN205808464U (en) A kind of PLC of having remotely controls and the shield pump of fault self-checking function
CN201408243Y (en) Device for detecting corona discharge
CN103148783B (en) A kind of automatic testing method of valve rocker installation site
CN103488158B (en) A kind of virtual man machine operation interface system based on machine vision and construction method
CN102236475A (en) Touch positioning method and device, touch screen and display
CN105619741B (en) A kind of mould intelligent detecting method based on Tegra K1
CN205881927U (en) High precision silicon chip detecting system under light field light
CN202150245U (en) LED display screen fault acquisition and analysis system
CN103383574A (en) High-accuracy motion compensation positioning system and high-accuracy motion compensation positioning method

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
GR01 Patent grant
C14 Grant of patent or utility model
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20141224

Termination date: 20171126

CF01 Termination of patent right due to non-payment of annual fee