CN103383239A - BNC terminal image recognition device and recognition method - Google Patents
BNC terminal image recognition device and recognition method Download PDFInfo
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- CN103383239A CN103383239A CN2013102179933A CN201310217993A CN103383239A CN 103383239 A CN103383239 A CN 103383239A CN 2013102179933 A CN2013102179933 A CN 2013102179933A CN 201310217993 A CN201310217993 A CN 201310217993A CN 103383239 A CN103383239 A CN 103383239A
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Abstract
The invention discloses a BNC terminal image recognition system and recognition method. The system comprises an image capture device and a processing device. The processing comprises a storer and a displayer. The method comprises the step of carrying out front side outer ring image recognition, front side inner core image recognition and lateral side inner core recognition on a BNC terminal. The BNC terminal image recognition system and recognition method has the advantages of utilizing an automatic image recognition system to achieve automatic detection of a front side outer ring, the inner core regulartity and the length of a lateral side inner core of the BNC terminal, remarkably improving operation efficiency for detecting the BNC terminals in products and preventing products with poor BNC terminals from being discharged.
Description
Technical field
The present invention relates to BNC terminal test technical field, relate in particular to a kind of BNC terminal pattern recognition device and recognition methods.
Background technology
Video editing equipment comprises that a large amount of vision signal input and output terminals is manufacturing technology commonly used in present video editing equipment, and this manufacturing technology is mainly used for the business that enlarges video editing equipment, also needs on satisfying.In prior art, usually adopt BNC(Bayonet Nut Connector, bayonet nut connector) terminal is used as input and output terminal, and the BNC terminal is generally used for the connector that workstation is connected with concentric cable, the input of standard professional video equipment, output port.The BNC terminal can completely cut off video input signals, makes signal disturb each other minimizing, and the more common D-SUB(of signal frequency range is the VGA interface) large, can reach optimum signal response effect.
But, when the BNC terminal is installed on video editing equipment, operating personnel normally survey according to hand or visual mode detects its quality problems, namely whether there is bad BNC terminal, the BNC number of terminals is many, density is large but work as, and when the accuracy requirement that detects specification was higher, therefore traditional artificial visual detection mode was difficult to satisfy high-precision testing requirement due to the nuance that can't accurately view BNC terminal inside; And adopt the problems such as the manual detection mode is inevitably can generation efficiency lower, False Rate is high, and can cause bad BNC terminal to flow out.
Chinese patent (CN102338837A) discloses a kind of detection apparatus for terminal connection, wherein be provided with probe unit, analytic unit and output unit, the input end of probe unit is connected with detection terminal, and the output terminal of surveying terminal is connected with the input end of analytic unit; The output terminal of analytic unit is connected with the input end of output unit; Although the connection status that technique scheme can the real-time monitoring system splicing ear just detects the quality problems of this terminal when can't make splicing ear again, can not fundamentally get rid of the incipient fault of splicing ear.
Chinese patent (CN103048576A) discloses a kind of terminal test tool, comprise that the first insulcrete (1), parallel interval are arranged at the second insulcrete (2), parallel interval on this first insulcrete and are arranged at the 3rd insulcrete (3), wiring board (4) and power supply (5) on this second insulcrete, on described the first insulcrete, the interval arranges several test poles (6); Described the 3rd insulcrete is provided with several and the test probe (7) that described test pole is connected in series respectively, and this each test probe can move and can automatically reset to the second insulcrete direction relative to described the 3rd insulcrete under external force; Described the second insulcrete is fixed with several stationary probes (8) over against described several test probe below distributions, and these several stationary probes are concatenated into an end of power supply; Described wiring board is provided with and the same number of several light emitting diodes of described test pole (9), and an end of several light emitting diodes is electrically connected to respectively an end of power supply, and the other end of several light emitting diodes is electrically connected to respectively a p-wire.The technique scheme practical operation more complicated of getting up, and be not suitable for product and make on streamline, problems of the prior art can't be solved fully.
Summary of the invention
According to problems of the prior art, a kind of BNC terminal pattern recognition device and recognition methods now are provided, specifically comprise:
A kind of BNC terminal image identification system is applicable to dispose on the product line of BNC terminal; Wherein, described BNC terminal automatic checkout system comprises:
Image capture device; Described image capture device is arranged on the mechanical arm that can move freely; The initial position of described image capture device is over against described BNC terminal; Described image capture device catches the view data of described BNC terminal to be detected
Treating apparatus; Described treating apparatus connects described image capture device, is used for according to default method, result is processed and obtained to the described view data that described image capture device captures.
Preferably, this BNC terminal automatic checkout system, wherein, described image capture device is industrial camera.
Preferably, this BNC terminal automatic checkout system, wherein, the light source of described industrial camera is LED white annular light source.
Preferably, this BNC terminal automatic checkout system, wherein, described treating apparatus comprises display and storer; Preset the specification configuration parameter of described BNC terminal in described storer, and the standard picture template of each parts in described BNC terminal.
Preferably, this BNC terminal automatic checkout system, wherein, described treating apparatus is computer equipment.
Preferably, this BNC terminal automatic checkout system, wherein, described view data is the rectangle photo; Be distributed with the XOY coordinate axis on every described rectangle photo; The center origin of described XOY coordinate axis is positioned at the drift angle place, upper left of described rectangle photo; The unit coordinate figure of described XOY coordinate axis is the unit picture element value of described view data.
A kind of BNC terminal image-recognizing method is applicable to dispose on the product line of BNC terminal; Wherein, adopt above-mentioned BNC terminal image identification system, specifically comprise:
Step 3, described treating apparatus is according to the front inner core of the described BNC terminal of described view data identification;
Preferably, this BNC terminal image-recognizing method, wherein, described step 2 specifically comprises:
Step 21, described treating apparatus read the direct picture data of the described BNC terminal of described image capture device collection;
Step 22, described treating apparatus are carried out gray processing to described direct picture data and are processed;
Step 23, described treating apparatus carries out binary conversion treatment to described direct picture data; In described direct picture data, there is the circle ring area of a head and the tail connection in the positive outer ring of described BNC terminal at this moment;
Step 24, described treating apparatus builds a rectangle frame that comprises described circle ring area, and the sideline of described rectangle frame is the tangent line of described circle ring area;
Step 25, described treating apparatus is compared the corresponding described specification configuration parameter of preserving in the parameter of described rectangle frame and described storer, and draws comparison result.
Preferably, this BNC terminal image-recognizing method, wherein, described step 3 specifically comprises:
Step 31, described treating apparatus read the direct picture data of the described BNC terminal of described image capture device collection;
Step 32, described treating apparatus are carried out gray processing to described direct picture data and are processed;
Step 33, described treating apparatus carries out binary conversion treatment to described direct picture data, and draws the core area at BNC terminal center described in described direct picture data according to described standard picture template scanning; Described core area comprises left-half and latter half
Step 34, described treating apparatus builds two rectangle frames according to described core area; Two described rectangle frames comprise respectively described left-half and described right half part;
Step 35, described treating apparatus is compared the corresponding described specification configuration parameter of preserving in the parameter of two described rectangle frames and described storer, and draws comparison result.
Preferably, this BNC terminal image-recognizing method, wherein, described step 4 specifically comprises:
Step 41, described treating apparatus read the side image data of the described BNC terminal of described image capture device collection;
Step 42, described treating apparatus are according to described standard picture template, and scanning obtains the described inner core of described BNC terminal;
Step 43, described treating apparatus builds first rectangle frame according to the outer ring of described BNC terminal;
Step 44, described treating apparatus builds second rectangle frame according to the inner core of described BNC terminal;
Step 45, described treating apparatus be according to described XOY coordinate axis, calculates the off-set value between the central point of the left side bearing of described the first rectangle frame and described the second rectangle frame;
Step 46, described treating apparatus is compared described off-set value according to the corresponding described specification configuration parameter of preserving in described storer, and obtains comparison result.
Preferably, this BNC terminal image-recognizing method, wherein, in described step 41, described image capture device adopts and the front of described BNC terminal folds the described side image data that 25 shooting angle of spending are obtained described BNC terminal.
The beneficial effect of technique scheme is: utilize the automated graphics recognition system, realize the automatic detection of outer ring, BNC terminal front, inner core regularity, side length of inner core, significantly improve the operating efficiency of BNC terminal test in product, and can avoid the bad product of BNC terminal to flow out.
Description of drawings
Fig. 1 is the structural representation of a kind of BNC terminal image identification system in embodiments of the invention;
Fig. 2 is the schematic flow sheet of the positive outer ring of identification BNC terminal in embodiments of the invention;
Fig. 3-4th, the schematic diagram of the positive outer ring of identification BNC terminal in embodiments of the invention;
Fig. 5 is the schematic flow sheet of identification BNC terminal front inner core in embodiments of the invention;
Fig. 6-7th, the schematic diagram of identification BNC terminal front inner core in embodiments of the invention;
Fig. 8 is the schematic flow sheet of identification BNC side surface of terminal inner core in embodiments of the invention;
Fig. 9-10th, the schematic diagram of identification BNC side surface of terminal inner core in embodiments of the invention.
Embodiment
The invention will be further described below in conjunction with the drawings and specific embodiments, but not as limiting to the invention.
As shown in Figure 1, in embodiments of the invention, at first relate to and a kind of the BNC terminal being taken, and carry out subsequently the system of image recognition, employing can detect the making situation of each parts in the BNC terminal automatically to the technology that the BNC terminal carries out automated graphics identification, and detects bad BNC terminal.
In this BNC terminal image identification system, comprise an image capture device and a treating apparatus; Image capture device is that treating apparatus is computer equipment with the industrial camera of LED white annular light source.Industrial camera is controlled mobile by a kinematic axis device, view data with the relevant position that catches the BNC terminal, the initial position of industrial camera is over against BNC terminal to be detected, and obtains successively the view data of all the BNC terminals on a product according to a definite sequence.
Computer equipment reads above-mentioned view data, and does respective handling, subsequently result is presented on the display of computer equipment, and above-mentioned result is counted in storer.
Also preserve all kinds of specification configuration parameters that the BNC terminal is detected in the storer of computer equipment, comprise in the BNC terminal relevant criterion data such as spacing distance between each parts.
Also preserve the image template of associated components in the BNC terminal in storer; When treating apparatus reads certain view data, can be according to the corresponding component in image template scanning search BNC terminal.
The view data that image capture device obtains is distributed with the XOY coordinate axis for the rectangle picture of rule on it, the center origin of this XOY coordinate axis is positioned at the left upper apex of rectangle picture.The XOY coordinate axis is got the unit picture element value as its unit coordinate, and under 1280*1024 resolution condition, the diameter of 1 pixel under maximal accuracy is that 0.012mm(is that the maximal accuracy of image identification system is 0.012mm).
Adopt above-mentioned image identification system to carry out to all BNC terminals of product the step that image recognition detects and roughly comprise following a few class:
The BNC terminal is carried out the image recognition of positive outer ring, whether this image recognition action satisfies the specification sign mainly for detection of the outer ring of BNC terminal;
The BNC terminal is carried out the image recognition of front inner core, whether this image recognition action closes rule (the positive face width that mainly detects inner core is high) mainly for detection of the inner core size of BNC terminal;
The BNC terminal is carried out the image recognition of side inner core, whether this image recognition action closes rule mainly for detection of the length of inner core of BNC terminal.
The below sets forth one by one to above-mentioned image-recognizing method:
Fig. 2 is in embodiments of the invention, the positive outer ring of BNC terminal is carried out the schematic flow sheet of image recognition, the concise and to the point description of positive outer ring identification is carried out in Fig. 3-4th to the BNC terminal, according to the flow process in Fig. 2, and describe in Fig. 3-4, the method for the positive outer ring of BNC terminal being carried out image recognition specifically comprises:
At first, image capture device obtains the direct picture data of BNC terminal to be detected, and treating apparatus positions the center of circle, namely seeks and determine the position of its inner core 1 on the direct picture data of BNC terminal.
As shown in Figure 2, have on the basis of inner core and its correct position the BNC terminal being detected, the direct picture data gray processing for the treatment of apparatus to the BNC terminal, (adaptive thresholding algorithm is namely picked out optimal threshold by algorithm again this image to be carried out the binaryzation operation by adaptive thresholding algorithm afterwards, as image being carried out the cut off value of binarization segmentation), the figure that makes in this direct picture two kinds of colors of remaining black and white only form; This moment, the circle ring area 2(of a connection of positive outer ring existence of BNC terminal as shown in Figure 3 because industrial camera carries white annular LED light source).
In direct picture after binaryzation, treating apparatus is sought the circle ring area 2 of this connection, and construct rectangle frame 3 shapes (as shown in Figure 4) according to this circle ring area 2, as the tangent line of the circle ring area 2 that is communicated with, namely this rectangle frame just in time comprises circle ring area 2 to the four edges of this rectangle frame 3 respectively.
Subsequently, adopt to calculate the wide high method of rectangle frame 3, calculate circle ring area 2 wide and high of BNC terminal to be detected, and the relevant specification configuration parameter of preserving in the storer in conjunction with treating apparatus, comparative result obtained.Treating apparatus is analyzed above-mentioned comparative result, and finally draws the result of image recognition.
In an embodiment of the present invention, the wide of this circle ring area 2 is 375 ± 20 pixels, and height is 375 ± 20 pixels, whether meets with circle ring area 2 the positive outer ring that standard judges the BNC terminal and whether satisfies specification standards.
Same, as shown in Figure 5, have on the basis of inner core and its correct position the BNC terminal being detected, treating apparatus carries out the image recognition of front inner core to the BNC terminal:
As shown in Figure 6, treating apparatus carries out gray processing to the direct picture of BNC terminal to be processed, and by adaptive thresholding algorithm, image is carried out the binaryzation operation afterwards, makes on image the only remaining figure that is become by black and white two colour cells.
Because there is the left and right two halves in the inner core 1 of BNC terminal, and because industrial camera carries the LED white light source, treating apparatus carries out the scanning of certain limit on can the black and white picture after carrying out binary conversion treatment.In an embodiment of the present invention, this sweep limit is point centered by picture centre as shown in Figure 6, and take wide as the 2*150 pixel, height scans for the large rectangle scope of 2*150 pixel.
Treating apparatus is according to the associated picture template of preserving in storer, and Scan orientation namely is similar to the figure of "＜" and "＞" to the left and right two halves 4 and 5 of BNC terminal inner core 1.
Subsequently, treating apparatus builds two little rectangle frames according to above-mentioned two parts.Namely build a little rectangle frame 6 that just in time comprises left-half, and the little rectangle frame 7(that just in time comprises right half part as shown in Figure 7).
Treating apparatus finds respectively the central point of two little rectangle frames 6 and 7 by delineating cornerwise method, and measures respectively the wide height of two little rectangle frames 6 and 7, and the spacing (being pixel value difference) between two central points 8 and 9.Treating apparatus is compared the specification of above-mentioned two little rectangle frames 6 and 7, and is drawn comparison result according to the specification configuration parameter that is kept in storer.Treating apparatus is analyzed above-mentioned comparison result, and finally draws the result of image recognition.
In an embodiment of the present invention, actual accepted standard specification is: wide 31 ± 7 pixels, and high 76 ± 7 pixels, the spacing between two little rectangle frame central points 8 and 9 is 45 ± 5 pixels.
Same, as shown in Figure 8, have on the basis of inner core 1 and its correct position the BNC terminal being detected, treating apparatus carries out the image recognition of side inner core to the BNC terminal:
The image recognition of side inner core is different from above-mentioned two image-recognizing methods, and its view data that adopts not is the direct picture data, but adopts the view data of certain angle to identify.That is, image capture device is under the effect of a kinematic axis device, and displacement folds the position of certain angle as for the front of BNC terminal to be detected, and gathers the side image data (as shown in Figure 9) of this BNC terminal.In an embodiment of the present invention, this image capture device moves the position that folds 25 degree as for the front of BNC terminal, to gather the side image data of BNC terminal.Whether the purpose that gathers the side image data is to make the certain-length that demonstrates inner core 1 in the BNC terminal on image, eject or indentation to detect inner core 1.
After treating apparatus obtained the side image data that image capture device collects, at first according to the associated picture template of preserving in storer, scanning obtained the inner core 1(side-looking direction of BNC terminal on side image).
Construct two rectangle frames as shown in figure 10 on this image.Wherein the first rectangle frame 11 just in time comprises the outer ring, side of BNC terminal.The second rectangle frame 12 just in time comprises the border circular areas (refer to all that rectangle frame is the circumscribed rectangle of inner circular " just in time comprising " described above) of constructing with the inner core front end of BNC terminal.
Treating apparatus is found out the central point 13 of the second rectangle frame 12 by delineating cornerwise mode.
Treating apparatus detects from the left side bearing of the first rectangle frame 11 to the spacing the central point 13 of the second rectangle frame 12 that (spacing is the horizontal linear distance, namely along the distance of X-axis; Spacing is pixel value difference), and above-mentioned numerical value is compared to relevant specification configuration parameter in being kept at storer, draw comparative result.The result of image recognition analyzed and finally draws by treating apparatus to this comparative result.
In an embodiment of the present invention, above-mentioned specification configuration parameter is 453 ± 10 pixels, namely when above-mentioned spacing when 453 pixels (the permissible error scope is ± 10 pixels), judgement inner core 1 meets standard requirements without ejecting or the indentation phenomenon.
In above-mentioned image recognition processes, after treating apparatus was identified a view data, treating apparatus was sent to display with recognition result and shows, simultaneously recognition result is deposited in storer, so that the user calls in the future.
All specification configuration parameters of mentioning in the present invention, for example dimension parameter of constructed each rectangle frame for the treatment of apparatus, and the spacing between rectangle frame etc. all can freely be adjusted according to actual conditions by the user.
The above only is preferred embodiment of the present invention; not thereby limit embodiments of the present invention and protection domain; to those skilled in the art; should recognize that being equal to that all utilizations instructions of the present invention and diagramatic content done replace and the resulting scheme of apparent variation, all should be included in protection scope of the present invention.
Claims (11)
1. a BNC terminal image identification system, be applicable to dispose on the product line of BNC terminal; It is characterized in that, described BNC terminal automatic checkout system comprises:
Image capture device; Described image capture device is arranged on the mechanical arm that can move freely; The initial position of described image capture device is over against described BNC terminal; Described image capture device catches the view data of described BNC terminal to be detected
Treating apparatus; Described treating apparatus connects described image capture device, is used for according to default method, result is processed and obtained to the described view data that described image capture device captures.
2. BNC terminal automatic checkout system as claimed in claim 1, is characterized in that, described image capture device is industrial camera.
3. BNC terminal automatic checkout system as claimed in claim 4, is characterized in that, the light source of described industrial camera is LED white annular light source.
4. BNC terminal automatic checkout system as claimed in claim 1, is characterized in that, described treating apparatus comprises display and storer; Preset the specification configuration parameter of described BNC terminal in described storer, and the standard picture template of each parts in described BNC terminal.
5. BNC terminal automatic checkout system as claimed in claim 4, is characterized in that, described treating apparatus is computer equipment.
6. BNC terminal automatic checkout system as claimed in claim 1, is characterized in that, described view data is the rectangle photo; Be distributed with the XOY coordinate axis on every described rectangle photo; The center origin of described XOY coordinate axis is positioned at the drift angle place, upper left of described rectangle photo; The unit coordinate figure of described XOY coordinate axis is the unit picture element value of described view data.
7. a BNC terminal image-recognizing method, be applicable to dispose on the product line of BNC terminal; It is characterized in that, adopt as the described BNC terminal of any one in claim 1-6 image identification system, specifically comprise:
Step 1, described image capture device gathers the described view data of described BNC terminal to be detected;
Step 2, described treating apparatus is according to the positive outer ring of the described BNC terminal of described view data identification;
Step 3, described treating apparatus is according to the front inner core of the described BNC terminal of described view data identification;
Step 4, described treating apparatus is according to the side inner core of the described BNC terminal of described view data identification.
8. BNC terminal image-recognizing method as claimed in claim 7, is characterized in that, described step 2 specifically comprises:
Step 21, described treating apparatus read the direct picture data of the described BNC terminal of described image capture device collection;
Step 22, described treating apparatus are carried out gray processing to described direct picture data and are processed;
Step 23, described treating apparatus carries out binary conversion treatment to described direct picture data; In described direct picture data, there is the circle ring area of a head and the tail connection in the positive outer ring of described BNC terminal at this moment;
Step 24, described treating apparatus builds a rectangle frame that comprises described circle ring area, and the sideline of described rectangle frame is the tangent line of described circle ring area;
Step 25, described treating apparatus is compared the corresponding described specification configuration parameter of preserving in the parameter of described rectangle frame and described storer, and draws comparison result.
9. BNC terminal image-recognizing method as claimed in claim 7, is characterized in that, described step 3 specifically comprises:
Step 31, described treating apparatus read the direct picture data of the described BNC terminal of described image capture device collection;
Step 32, described treating apparatus are carried out gray processing to described direct picture data and are processed;
Step 33, described treating apparatus carries out binary conversion treatment to described direct picture data, and draws the core area at BNC terminal center described in described direct picture data according to described standard picture template scanning; Described core area comprises left-half and latter half
Step 34, described treating apparatus builds two rectangle frames according to described core area; Two described rectangle frames comprise respectively described left-half and described right half part;
Step 35, described treating apparatus is compared the corresponding described specification configuration parameter of preserving in the parameter of two described rectangle frames and described storer, and draws comparison result.
10. BNC terminal image-recognizing method as claimed in claim 7, is characterized in that, described step 4 specifically comprises:
Step 41, described treating apparatus read the side image data of the described BNC terminal of described image capture device collection;
Step 42, described treating apparatus are according to described standard picture template, and scanning obtains the described inner core of described BNC terminal;
Step 43, described treating apparatus builds first rectangle frame according to the outer ring of described BNC terminal;
Step 44, described treating apparatus builds second rectangle frame according to the inner core of described BNC terminal;
Step 45, described treating apparatus be according to described XOY coordinate axis, calculates the off-set value between the central point of the left side bearing of described the first rectangle frame and described the second rectangle frame;
Step 46, described treating apparatus is compared described off-set value according to the corresponding described specification configuration parameter of preserving in described storer, and obtains comparison result.
11. BNC terminal image-recognizing method as claimed in claim 10 is characterized in that, in described step 41, described image capture device adopts and the front of described BNC terminal folds the described side image data that 25 shooting angle of spending are obtained described BNC terminal.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104483647A (en) * | 2014-12-11 | 2015-04-01 | 广东电网有限责任公司电力科学研究院 | Device and method for automatically recognizing appearance information of low-voltage current transformer in production line |
| CN104535014A (en) * | 2014-12-31 | 2015-04-22 | 宝利根（东莞）电子科技有限公司 | Detecting method for high-precision electronic plug connector products of injection molding |
| WO2017050082A1 (en) * | 2015-09-21 | 2017-03-30 | 广州视源电子科技股份有限公司 | Method for determining terminal position and terminal equipment |
| CN107407552A (en) * | 2015-03-06 | 2017-11-28 | 富士机械制造株式会社 | Identification device and recognition methods |
| CN109815998A (en) * | 2019-01-08 | 2019-05-28 | 科大国创软件股份有限公司 | A kind of AI dress dimension method for inspecting and system based on YOLO algorithm |
| CN114543659A (en) * | 2020-11-26 | 2022-05-27 | 泰科电子(上海)有限公司 | Connector quality inspection method and system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1123240A (en) * | 1997-06-30 | 1999-01-29 | Matsushita Electric Ind Co Ltd | Method and apparatus for recognition of component and apparatus for placement of component |
| US20030210407A1 (en) * | 2002-05-13 | 2003-11-13 | 3D Media Co., Ltd. | Image processing method, image processing system and image processing apparatus |
| CN2777488Y (en) * | 2005-03-22 | 2006-05-03 | 东华大学 | Device for automatically testing spinneret plate |
| CN101825451A (en) * | 2009-03-06 | 2010-09-08 | 上海辰铁工业自动化设备有限公司 | Detecting device for electronic connector |
| JP2011215084A (en) * | 2010-04-01 | 2011-10-27 | Olympus Corp | Image processing device and interferometer measurement system |
| CN202083643U (en) * | 2011-05-20 | 2011-12-21 | 东莞市三姆森光电科技有限公司 | Full-automatic optical detecting system for SD card connector |
| CN202083353U (en) * | 2011-05-20 | 2011-12-21 | 东莞市三姆森光电科技有限公司 | Full-automatic optical detecting system for audio connector |
| CN102338837A (en) * | 2010-07-20 | 2012-02-01 | 广东易事特电源股份有限公司 | Detection apparatus for terminal connection |
| CN103048576A (en) * | 2013-01-24 | 2013-04-17 | 昆山尼赛拉电子器材有限公司 | Terminal detection fixture |
-
2013
- 2013-06-03 CN CN2013102179933A patent/CN103383239A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1123240A (en) * | 1997-06-30 | 1999-01-29 | Matsushita Electric Ind Co Ltd | Method and apparatus for recognition of component and apparatus for placement of component |
| US20030210407A1 (en) * | 2002-05-13 | 2003-11-13 | 3D Media Co., Ltd. | Image processing method, image processing system and image processing apparatus |
| CN2777488Y (en) * | 2005-03-22 | 2006-05-03 | 东华大学 | Device for automatically testing spinneret plate |
| CN101825451A (en) * | 2009-03-06 | 2010-09-08 | 上海辰铁工业自动化设备有限公司 | Detecting device for electronic connector |
| JP2011215084A (en) * | 2010-04-01 | 2011-10-27 | Olympus Corp | Image processing device and interferometer measurement system |
| CN102338837A (en) * | 2010-07-20 | 2012-02-01 | 广东易事特电源股份有限公司 | Detection apparatus for terminal connection |
| CN202083643U (en) * | 2011-05-20 | 2011-12-21 | 东莞市三姆森光电科技有限公司 | Full-automatic optical detecting system for SD card connector |
| CN202083353U (en) * | 2011-05-20 | 2011-12-21 | 东莞市三姆森光电科技有限公司 | Full-automatic optical detecting system for audio connector |
| CN103048576A (en) * | 2013-01-24 | 2013-04-17 | 昆山尼赛拉电子器材有限公司 | Terminal detection fixture |
Non-Patent Citations (1)
| Title |
|---|
| 林有希等: "《认识制造》", 28 February 2013, 清华大学出版社 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104483647A (en) * | 2014-12-11 | 2015-04-01 | 广东电网有限责任公司电力科学研究院 | Device and method for automatically recognizing appearance information of low-voltage current transformer in production line |
| CN104535014A (en) * | 2014-12-31 | 2015-04-22 | 宝利根（东莞）电子科技有限公司 | Detecting method for high-precision electronic plug connector products of injection molding |
| CN104535014B (en) * | 2014-12-31 | 2018-07-06 | 宝利根（东莞）电子科技有限公司 | High-precision electronic plug connector injection molding product detection method |
| CN107407552A (en) * | 2015-03-06 | 2017-11-28 | 富士机械制造株式会社 | Identification device and recognition methods |
| CN107407552B (en) * | 2015-03-06 | 2019-11-12 | 株式会社富士 | Identification device and recognition methods |
| WO2017050082A1 (en) * | 2015-09-21 | 2017-03-30 | 广州视源电子科技股份有限公司 | Method for determining terminal position and terminal equipment |
| CN109815998A (en) * | 2019-01-08 | 2019-05-28 | 科大国创软件股份有限公司 | A kind of AI dress dimension method for inspecting and system based on YOLO algorithm |
| CN114543659A (en) * | 2020-11-26 | 2022-05-27 | 泰科电子(上海)有限公司 | Connector quality inspection method and system |
| CN114543659B (en) * | 2020-11-26 | 2023-10-20 | 泰科电子(上海)有限公司 | Connector quality inspection method and system |
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