CN104121853A - Casing detection device and objective table thereof - Google Patents
Casing detection device and objective table thereof Download PDFInfo
- Publication number
- CN104121853A CN104121853A CN201410336487.0A CN201410336487A CN104121853A CN 104121853 A CN104121853 A CN 104121853A CN 201410336487 A CN201410336487 A CN 201410336487A CN 104121853 A CN104121853 A CN 104121853A
- Authority
- CN
- China
- Prior art keywords
- housing
- catoptron
- stationary fixture
- image
- objective table
- 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.)
- Pending
Links
Landscapes
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention provides a casing detection device which comprises an objective table, an image collector and a processor. The objective table comprises a fixed clamp and reflecting mirrors, the number of the reflecting mirrors is four, and the reflecting mirrors are arranged around the edge of the fixed clamp. In detection, the image collector is opposite to the front of a casing. Due to the fact that the reflecting mirrors and the supporting surface of the fixed clamp can form included angles of over 90 degrees, the image collector can simultaneously collect image information of the side edge of the casing in the four reflecting mirrors and image information of the front of the casing. Therefore, the front and the side of the casing can simultaneously undergo image collection only through one image collector. Due to the fact that only one image collector is used by the casing detection device, the casing detection device is simple in structure. Therefore, debugging does not need to be performed on a plurality of cameras in detection, the casing detection device is convenient to use, and accordingly casing detection efficiency is effectively improved.
Description
Technical field
The present invention relates to detection technique, particularly relate to a kind of housing pick-up unit and objective table thereof.
Background technology
Along with large-scale production the use of the electronic products such as mobile phone, also more and more higher to the quality requirements on various electronic product casings surface.Therefore, after housing machines, need to detect housing, to check whether housing exists defect, and whether size meets pre-provisioning request.The manual type of in the past generally adopting eye recognition is identified, and efficiency is low and error is high.At present, in order to improve detection efficiency, occurred by image processing software, housing image being analyzed, to detect the pick-up unit whether housing is qualified.But current a plurality of cameras of pick-up unit general using carry out image acquisition to a plurality of sides of same housing, then the image collecting are carried out to Treatment Analysis.When gathering image, need to be to a plurality of camera debugging.Therefore, current structure of the detecting device is complicated, use inconvenience, thereby makes detection efficiency not high.
Summary of the invention
Based on this, be necessary to provide a kind of simple in structure, easy to use, thereby improve housing pick-up unit and the objective table thereof of detection efficiency.
An objective table, with carrying housing to be detected, described objective table comprises:
Stationary fixture, for supporting and fix described housing, the one side that described stationary fixture supports described housing is supporting surface; And
Catoptron, be installed on described stationary fixture, described catoptron is four, and the edge setting around described stationary fixture, the reflecting surface of four described catoptrons is all towards the center of described stationary fixture, in four described catoptrons, be parallel to each other between two and be oppositely arranged, with around forming a rectangle frame structure, described catoptron and described supporting surface can become to be greater than the angle of 90 degree;
Wherein, when described housing is carried on described stationary fixture, described housing is positioned at described rectangle frame, and the imaging in four described catoptrons respectively of the side of described housing.
In an embodiment, described catoptron is arranged at the edge of described stationary fixture rotationally therein, and it is rotatable that described catoptron is equivalent to the edge of described stationary fixture, to adjust the angle between described catoptron and described supporting surface.
Therein in an embodiment, described catoptron with respect to described stationary fixture slidably, to change the distance between two described catoptrons that are oppositely arranged.
A housing pick-up unit, comprising:
Objective table as described in any one in above preferred embodiment;
Image acquisition device, for gathering the image information of housing side described in described housing front and described catoptron;
Processor, is connected with described image acquisition device communication, for obtaining described image information, and described image information is processed, to obtain dimension information and the defect information of described housing.
In an embodiment, described image acquisition device is camera therein.
In an embodiment, described processor comprises therein:
Region extraction module, for described image information is changed into gray-scale map, and extracts by region-growing method described gray-scale map, to obtain the gray-scale map in region to be detected.
Conversion module, for carrying out Fourier transform to the gray-scale map in described region to be detected, to obtain spectrogram;
Convolution module, carries out convolution for described spectrogram;
Image-forming module, for carrying out inverse fourier transform to convolution results, to obtain defect image;
Defect extraction module, for described defect image is carried out to Threshold segmentation, to obtain described defect information.
Therein in an embodiment,, also comprise display, described display is connected with described processor communication, and described display is used for showing described dimension information and described defect information.
Above-mentioned housing pick-up unit and objective table thereof, when housing to be detected is carried on stationary fixture, the imaging in four catoptrons respectively of the side of housing.During detection, image acquisition device and housing vis-a-vis are arranged.Because catoptron and the supporting surface of stationary fixture can become to be greater than the angle of 90 degree, therefore image acquisition device can gather the image information of four catoptron middle shell sides and the image information in housing front simultaneously.Therefore, only need by an image acquisition device, just image acquisition is carried out in and side positive to housing simultaneously.Because above-mentioned housing pick-up unit only need be used an image acquisition device, simple in structure.Therefore, during detection, need not debug a plurality of cameras, easy to use, thus effectively improve the efficiency that housing detects.
Accompanying drawing explanation
Fig. 1 is the structural representation of preferred embodiment middle shell pick-up unit of the present invention.
Embodiment
For the ease of understanding the present invention, below with reference to relevant drawings, the present invention is described more fully.In accompanying drawing, provided preferred embodiment of the present invention.But the present invention can realize in many different forms, be not limited to embodiment described herein.On the contrary, providing the object of these embodiment is to make to the understanding of disclosure of the present invention more thoroughly comprehensively.
It should be noted that, when element is called as " being fixed on " another element, can directly can there is element placed in the middle in it on another element or also.When an element is considered to " connection " another element, it can be directly connected to another element or may have centering elements simultaneously.
Unless otherwise defined, all technology of using are herein identical with the implication that belongs to the common understanding of those skilled in the art of the present invention with scientific terminology.The term using in instructions of the present invention herein, just in order to describe the object of specific embodiment, is not intended to be restriction the present invention.Term as used herein " and/or " comprise one or more relevant Listed Items arbitrarily with all combinations.
Refer to Fig. 1, the housing pick-up unit 10 in preferred embodiment of the present invention comprises objective table 100, image acquisition device 102 and processor 104.Wherein, objective table 100 is for carrying housing to be detected 20.Objective table 100 comprises stationary fixture 110 and catoptron 130.
Stationary fixture 110 is for supporting and stationary housing 20.The one side of stationary fixture 110 support housings 20 is supporting surface (not shown).Concrete, stationary fixture 110 can be platy structure, and supporting surface is to contact with housing 110 and parallel one side in platy structure.Stationary fixture 110 also can be with other energy support housing 20 structures such as the frameworks of locating clip, and supporting surface is the plane at housing 20 and stationary fixture 110 place that has point of contact.
Catoptron 130 is installed on stationary fixture 110.Catoptron 130 is four, and around the edge setting of stationary fixture 110.The reflecting surface of four catoptrons 130, all towards stationary fixture 110 center, is parallel to each other between two and is oppositely arranged in four catoptrons 130, with around forming a rectangle frame structure.In addition, catoptron 120 and supporting surface can become to be greater than the angle of 90 degree.
Wherein, when housing 20 is carried on stationary fixture 110, housing 20 is positioned at this rectangle frame, and the imaging in four catoptrons 130 respectively of the side of housing 20.In addition, due to catoptron 130 and the supporting surface of stationary fixture 110, can become to be greater than the angle of 90 degree.Therefore,, from the direction of the vis-a-vis with housing 20, can be observed the reflected image of side in catoptron 130.
In the present embodiment, catoptron 130 is arranged at the edge of stationary fixture 110 rotationally, and it is rotatable that catoptron 130 is equivalent to the edge of stationary fixture 110, to adjust the angle between catoptron 130 and supporting surface.
Concrete, catoptron 130 can be realized and being rotatably mounted by the structures such as rotating shaft, pivot and stationary fixture 100.By rotating mirror 130, the imaging effect of the side that can make housing 20 in catoptron 130 is best.Specifically in the present embodiment, rotating mirror 130, so that catoptron 130 and housing 20 sides are in angle of 45 degrees, thereby makes the deformation of side imaging in catoptron 130 of housing 20 minimum.
Be appreciated that in other embodiments, catoptron 130 can be fixedly installed on stationary fixture 110, and makes catoptron 130 inclination predetermined angle.
In the present embodiment, catoptron 130 with respect to stationary fixture 110 slidably, to change the distance between two catoptrons 130 that are oppositely arranged.
Concrete, catoptron 130 can pass through the structures such as slide rail, chute to be realized and being connected with stationary fixture 110.Because the size of distinct electronic apparatuses is different, therefore the size of housing 20 to be detected is also various.By sliding reflection mirror 130, can change the distance between two catoptrons 130 that are oppositely arranged, to change the size of rectangle frame, thereby the size of rectangle frame can be matched with the size of the housing 20 of Multiple Type.Therefore, make objective table 100 can carry the housing 20 of Multiple Type, thus easy to use, and expand the range of application of housing pick-up unit 10.
Be appreciated that in other embodiments, catoptron 130 also can be fixed on a certain position of stationary fixture 110, does not affect housing pick-up unit 10 its major functions.
Image acquisition device 102 is for gathering the image information of housing 20 fronts and catoptron 130 middle shell 20 sides.Concrete, when housing 20 to be detected is detected, housing 20 is carried on stationary fixture 110.The vis-a-vis setting of image acquisition device 102 and housing 20, and make catoptron 130 and supporting surface become to be greater than the angle of 90 degree.Image acquisition device 102 is moved to predeterminated position, just can collect the image information of housing 20 fronts and catoptron 130 middle shell sides simultaneously.
Specifically in the present embodiment, image acquisition device 102 is camera.Be appreciated that in other embodiments, image acquisition device 102 also can be video camera, image pick-up card etc.
Processor 104 is connected with image acquisition device 102 communications, for obtaining image information, and image information is processed, to obtain dimension information and the defect information of housing 20.Concrete, the dimension information obtaining comprises width, day line width, earpiece holes diameter, USB (the Universal Serial Bus USB (universal serial bus)) hole width of housing 20 sides, thereby judges according to dimension information whether the processing of housing 20 meets designing requirement in advance.Defect information refers to the shape of defect point on housing 20, if image information is processed, can obtain the defect shape on housing 20, represents to have defect on housing 20.
In the present embodiment, processor 104 comprises region extraction module 1041, conversion module 1043, convolution module 1045, image-forming module 1047 and defect extraction module 1049.
When detecting defect, the mobile phone key that housing 20 sides comprise, earpiece holes, USB hole be not for needing to detect the region of defect.Because above-mentioned zone exists projection or shrinkage pool, therefore can cause interference to housing 20 defects detection.Therefore, before defects detection, above-mentioned zone should be got rid of, to obtain the region to be detected except button, hole on housing 20.Region extraction module 1041 is for image information is changed into gray-scale map, and gray-scale map is extracted by region-growing method, to obtain the gray-scale map in region to be detected.
Region-growing method: be a kind of process in larger region that pixel or subregion aggregated into according to the criterion of predefined.Basic skills is to start with one group " Seed Points ", and the neighbor similar to " Seed Points " character appended on each seed of growth district.Specifically in the present embodiment, choose the gray-scale value of certain pixel in region to be detected as " Seed Points ", the neighbor similar to this gray-scale value appended on each seed of growth district, thereby reach the object of extracting region to be detected.
Conversion module 1043 carries out Fourier transform for treating the gray-scale map of surveyed area.Convolution module 1045 is for carrying out convolution to the result of Fourier transform.Image-forming module 1045 is for carrying out inverse fourier transform to convolution results, to obtain defect image.Defect extraction module 1049 is for carrying out Threshold segmentation to defect image, to obtain defect information.Threshold segmentation obtains the region of pixel between the threshold interval arranging.Because gray scale and other regions of the pixel of defect point distinguishes, by being set, threshold interval just defect point can be extracted separately.
Convolution: use the wave filter in frequency domain to carry out convolution to image.Concrete, the pixel value of image after Fourier transform is multiplied by the corresponding pixel value of filter graph picture, filter graph look like be pre-created with detected gray level image image of the same size.Image after convolution, for inverse Fourier transform, can make defect feature in the image of inverse transformation more obvious, is convenient to cut apart.
For the ease of showing dimension information and the defect information of housing 20.In the present embodiment, housing pick-up unit 100 also comprises display 106.Display 106 is connected with processor 104 communications, and display 106 is for display size information and defect information.
After obtaining the dimension information of housing 20, the dimension information of housing 20 and the size of design are in advance contrasted to demonstration, whether the size that just can pick out clearly housing 20 is qualified.And, the defect information of obtaining is shown, just can recognize clearly housing 20 and whether have defect, and the general shape of defect.
Be appreciated that in other embodiments, display 106 can omit, and can be by processor 104 is connected with external connection display equipment, to reach the object that shows housing 20 dimension informations and defect information.
Housing pick-up unit 10 and objective table 100 thereof, when housing 20 to be detected is carried on stationary fixture 110, the imaging in four catoptrons 130 respectively of the side of housing 20.During detection, by image acquisition device 102 and housing 20 vis-a-vis settings.Because catoptron 130 and the supporting surface of stationary fixture 110 can become to be greater than the angle of 90 degree, therefore image acquisition device 102 can gather the image information of four catoptrons, 130 middle shell 20 sides and the image information in housing 20 fronts.Therefore, only need by an image acquisition device 102, just image acquisition is carried out in and side positive to housing 20 simultaneously.Because 10 of housing pick-up units need to use an image acquisition device 102, simple in structure.Therefore, during detection, need not debug a plurality of cameras, easy to use, thus effectively improve the efficiency that housing detects.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (7)
1. an objective table, with carrying housing to be detected, is characterized in that, described objective table comprises:
Stationary fixture, for supporting and fix described housing, the one side that described stationary fixture supports described housing is supporting surface; And
Catoptron, be installed on described stationary fixture, described catoptron is four, and the edge setting around described stationary fixture, the reflecting surface of four described catoptrons is all towards the center of described stationary fixture, in four described catoptrons, be parallel to each other between two and be oppositely arranged, with around forming a rectangle frame structure, described catoptron and described supporting surface can become to be greater than the angle of 90 degree;
Wherein, when described housing is carried on described stationary fixture, described housing is positioned at described rectangle frame, and the imaging in four described catoptrons respectively of the side of described housing.
2. objective table according to claim 1, it is characterized in that, described catoptron is arranged at the edge of described stationary fixture rotationally, and it is rotatable that described catoptron is equivalent to the edge of described stationary fixture, to adjust the angle between described catoptron and described supporting surface.
3. objective table according to claim 1, is characterized in that, described catoptron with respect to described stationary fixture slidably, to change the distance between two described catoptrons that are oppositely arranged.
4. a housing pick-up unit, is characterized in that, comprising:
Objective table as described in the claims 1～3 any one;
Image acquisition device, for gathering the image information of housing side described in described housing front and described catoptron;
Processor, is connected with described image acquisition device communication, for obtaining described image information, and described image information is processed, to obtain dimension information and the defect information of described housing.
5. housing pick-up unit according to claim 4, is characterized in that, described image acquisition device is camera.
6. housing pick-up unit according to claim 4, is characterized in that, described processor comprises:
Region extraction module, for described image information is changed into gray-scale map, and extracts by region-growing method described gray-scale map, to obtain the gray-scale map in region to be detected.
Conversion module, for carrying out Fourier transform to the gray-scale map in described region to be detected;
Convolution module, for carrying out convolution to the result of Fourier transform;
Image-forming module, for carrying out inverse fourier transform to convolution results, to obtain defect image;
Defect extraction module, for described defect image is carried out to Threshold segmentation, to obtain described defect information.
7. housing pick-up unit according to claim 6, is characterized in that, also comprise display, described display is connected with described processor communication, and described display is used for showing described dimension information and described defect information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410336487.0A CN104121853A (en) | 2014-07-15 | 2014-07-15 | Casing detection device and objective table thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410336487.0A CN104121853A (en) | 2014-07-15 | 2014-07-15 | Casing detection device and objective table thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104121853A true CN104121853A (en) | 2014-10-29 |
Family
ID=51767368
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410336487.0A Pending CN104121853A (en) | 2014-07-15 | 2014-07-15 | Casing detection device and objective table thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104121853A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107064018A (en) * | 2017-04-28 | 2017-08-18 | 安徽捷迅光电技术有限公司 | A kind of vision-based detection mechanism on color selector |
| CN107101577A (en) * | 2017-04-05 | 2017-08-29 | 东莞长盈精密技术有限公司 | Product measures tool |
| CN107806894A (en) * | 2017-11-13 | 2018-03-16 | 东莞市兆丰精密仪器有限公司 | A kind of universal air-operated clamping fixture for visual detecting means |
| CN108918528A (en) * | 2018-06-01 | 2018-11-30 | 深圳回收宝科技有限公司 | A kind of endpoint detection methods, device and storage medium |
| CN110223296A (en) * | 2019-07-08 | 2019-09-10 | 山东建筑大学 | A kind of screw-thread steel detection method of surface flaw and system based on machine vision |
| CN110595361A (en) * | 2019-09-27 | 2019-12-20 | 上海悦易网络信息技术有限公司 | Image acquisition device and image detection equipment |
| CN111637838A (en) * | 2020-04-27 | 2020-09-08 | Oppo（重庆）智能科技有限公司 | Height difference detection method, height difference detection device, storage medium and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004219298A (en) * | 2003-01-16 | 2004-08-05 | Matsushita Electric Ind Co Ltd | Lighting inspection device for display panel |
| CN1740764A (en) * | 2004-08-24 | 2006-03-01 | 日本麦可罗尼克斯股份有限公司 | Apperance inspection device for liquid crystal liquid panel |
| CN101394460A (en) * | 2007-09-21 | 2009-03-25 | 索尼株式会社 | Image processing apparatus, image processing method, image processing program, and image capturing apparatus |
| CN201425470Y (en) * | 2009-04-27 | 2010-03-17 | 东莞康视达自动化科技有限公司 | Measured equilateral polygonal object on-line data measurement system based on machine vision |
| CN103810492A (en) * | 2014-01-17 | 2014-05-21 | 北京大恒图像视觉有限公司 | Ambiguity analytical method of eye fundus image |
-
2014
- 2014-07-15 CN CN201410336487.0A patent/CN104121853A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004219298A (en) * | 2003-01-16 | 2004-08-05 | Matsushita Electric Ind Co Ltd | Lighting inspection device for display panel |
| CN1740764A (en) * | 2004-08-24 | 2006-03-01 | 日本麦可罗尼克斯股份有限公司 | Apperance inspection device for liquid crystal liquid panel |
| CN101394460A (en) * | 2007-09-21 | 2009-03-25 | 索尼株式会社 | Image processing apparatus, image processing method, image processing program, and image capturing apparatus |
| CN201425470Y (en) * | 2009-04-27 | 2010-03-17 | 东莞康视达自动化科技有限公司 | Measured equilateral polygonal object on-line data measurement system based on machine vision |
| CN103810492A (en) * | 2014-01-17 | 2014-05-21 | 北京大恒图像视觉有限公司 | Ambiguity analytical method of eye fundus image |
Non-Patent Citations (1)
| Title |
|---|
| 麦国铭: "表面光洁的注塑制品外观缺陷视觉检测方法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107101577A (en) * | 2017-04-05 | 2017-08-29 | 东莞长盈精密技术有限公司 | Product measures tool |
| CN107064018A (en) * | 2017-04-28 | 2017-08-18 | 安徽捷迅光电技术有限公司 | A kind of vision-based detection mechanism on color selector |
| CN107806894A (en) * | 2017-11-13 | 2018-03-16 | 东莞市兆丰精密仪器有限公司 | A kind of universal air-operated clamping fixture for visual detecting means |
| CN108918528A (en) * | 2018-06-01 | 2018-11-30 | 深圳回收宝科技有限公司 | A kind of endpoint detection methods, device and storage medium |
| CN108918528B (en) * | 2018-06-01 | 2023-08-01 | 深圳回收宝科技有限公司 | Terminal detection method, device and storage medium |
| CN110223296A (en) * | 2019-07-08 | 2019-09-10 | 山东建筑大学 | A kind of screw-thread steel detection method of surface flaw and system based on machine vision |
| CN110223296B (en) * | 2019-07-08 | 2021-06-11 | 山东建筑大学 | Deformed steel bar surface defect detection method and system based on machine vision |
| CN110595361A (en) * | 2019-09-27 | 2019-12-20 | 上海悦易网络信息技术有限公司 | Image acquisition device and image detection equipment |
| CN111637838A (en) * | 2020-04-27 | 2020-09-08 | Oppo（重庆）智能科技有限公司 | Height difference detection method, height difference detection device, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104121853A (en) | Casing detection device and objective table thereof | |
| WO2022042579A1 (en) | Lcd screen defect detection method and apparatus | |
| CN110595745B (en) | Detection method for abnormality of fixing screw of equipment and related product | |
| CN106772310B (en) | A kind of objective identification devices and methods therefor based on calculating ghost imaging | |
| Sörös et al. | Blur-resistant joint 1D and 2D barcode localization for smartphones | |
| CN108982512A (en) | A kind of circuit board detecting system and method based on machine vision | |
| CN110378902B (en) | Scratch detection method under high noise background | |
| CN102831386A (en) | Object recognition method and recognition apparatus | |
| CN103487729A (en) | Electrical equipment defect detection method based on fusion of ultraviolet video and infrared video | |
| CN101131727B (en) | Image collecting method and its application | |
| CN107300968B (en) | Face recognition method and device and picture display method and device | |
| CN111257329A (en) | Smartphone camera defect detection method and detection system | |
| Lixia et al. | Study on improved algorithm for image edge detection | |
| CN104010114A (en) | Video denoising method and device | |
| CN102915522A (en) | Smart phone name card extraction system and realization method thereof | |
| Yang et al. | Automatic TFT-LCD mura detection based on image reconstruction and processing | |
| Das et al. | Evaluation of text detection and localization methods in natural images | |
| CN102735347B (en) | Method and device for infrared gaze tomography of target tracking | |
| Tiwari et al. | Certain investigations on motion blur detection and estimation | |
| CN104112271A (en) | Detection method and system for housing side defect of mobile terminal | |
| CN105115987B (en) | Taper roller upside-down mounting defect inspection method based on digital filtering | |
| CN105657252A (en) | Image processing method in mobile terminal and mobile terminal | |
| CN109492654B (en) | Detection method and device for indoor endoscopic camera | |
| CN107292859B (en) | Chaotic medium polarization image acquisition method based on optical correlator | |
| CN105260994A (en) | Aerial insulator image de-noising method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB02 | Change of applicant information |
Address after: Dazu laser Building No. 9 Nanshan District high tech Park North new road Shenzhen city Guangdong province 518055 Applicant after: HANS LASER TECHNOLOGY INDUSTRY GROUP CO., LTD. Applicant after: Shenzhen Hans Electric Motor Co., Ltd. Address before: 518000 Shenzhen Province, Nanshan District high tech park, North West New Road, No. 9 Applicant before: Dazu Laser Sci. & Tech. Co., Ltd., Shenzhen Applicant before: Shenzhen Hans Electric Motor Co., Ltd. |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: DAZU LASER SCI. + TECH. CO., LTD., SHENZHEN TO: HAN'S LASER TECHNOLOGY INDUSTRY GROUP CO., LTD. |
|
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141029 |
|
| RJ01 | Rejection of invention patent application after publication |