CN104297256A - Appearance flaw detection system and method - Google Patents

Appearance flaw detection system and method Download PDF

Info

Publication number
CN104297256A
CN104297256A CN201310305518.1A CN201310305518A CN104297256A CN 104297256 A CN104297256 A CN 104297256A CN 201310305518 A CN201310305518 A CN 201310305518A CN 104297256 A CN104297256 A CN 104297256A
Authority
CN
China
Prior art keywords
sample
tested
image
rotational angle
side image
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.)
Granted
Application number
CN201310305518.1A
Other languages
Chinese (zh)
Other versions
CN104297256B (en
Inventor
李后贤
李章荣
罗治平
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.)
Hongfujin Precision Electronics Tianjin Co Ltd
Original Assignee
Hongfujin Precision Industry Shenzhen Co Ltd
Hon Hai Precision Industry Co Ltd
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 Hongfujin Precision Industry Shenzhen Co Ltd, Hon Hai Precision Industry Co Ltd filed Critical Hongfujin Precision Industry Shenzhen Co Ltd
Priority to CN201310305518.1A priority Critical patent/CN104297256B/en
Publication of CN104297256A publication Critical patent/CN104297256A/en
Application granted granted Critical
Publication of CN104297256B publication Critical patent/CN104297256B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention relates to an appearance flaw detection system and method. The method includes: acquiring a testing sample's current image shot by a camera shooting unit of a detection device, with the current image including a side image and a projected image of the testing sample; conducting flaw detection operation on the side image of the testing sample, and determining the rotation angle of the testing sample according to the projected image of the testing sample; when a flaw is detected in the side image of the testing sample, acquiring a corresponding side image template according to the rotation angle of the testing sample; comparing the side image of the testing sample with the acquired side image template, and determining the side block where the flaw appears in the testing sample. With the system and the method provided by the invention, the appearance flaw detection accuracy of the testing sample can be improved.

Description

Apparent flaws detection system and method
Technical field
The present invention relates to detection system and method, particularly relate to a kind of apparent flaws detection system and method.
Background technology
For improving the soundness of handheld apparatus shell, the shell of most handheld apparatus adopts one-body molded mode to carry out cutting, making, and its shell corner areas is also for considering security and rounder and more smooth.When the side of handheld device carries out flaw inspection, the existing rotatable assembly apparent flaws detection system needs that patrol are taken for handheld apparatus side, when differentiation operation is carried out to the handheld apparatus side image obtained, though the intensity that the lighting source above it irradiates can assist to obtain apparent flaws situation, but the boundary line, corner of handheld apparatus is easily caused almost to present smooth state, when causing the side image detecting handheld apparatus to occur flaw, flaw cannot be there is in system by determining in image specifically which bar side, make over and traditional patrol rotatable assembly apparent flaws detection system and only can differentiate whether the side of handheld apparatus occurs flaw, and the particular location occurring flaw cannot be determined, cause follow-up personnel in flaw secondary detection, puzzlement in heavy industry operation, and the waste of inspecting on the activity duration.
Summary of the invention
In view of above content, be necessary to provide a kind of apparent flaws detection system and method, it can pre-set the side image template that sample to be tested is positioned at each rotational angle, the template record of each side image has the position of side block and side block, when there is flaw in side image sample to be tested being detected, the particular location of this flaw can be determined according to the side image template pre-set.
A kind of apparent flaws detection system, this system comprises: image acquiring module, for obtaining the current image of the sample to be tested of the image unit picked-up of pick-up unit, this current image comprises side image and the projection image of this sample to be tested, and this projection image is the image that sample to be tested projects on the level crossing of pick-up unit; Image analysing computer module, for carrying out Defect Detection operation to the side image of sample to be tested, and the rotational angle of projection image determination sample to be tested according to sample to be tested; Template matching module, for when detecting flaw in the side image of sample to be tested, obtain corresponding side image template according to the rotational angle of this sample to be tested, this side image template record has the side block comprised in the side image of sample to be tested under this rotational angle; Described template matching module, also for the side image template of the side image of sample to be tested and this acquisition being compared, determines the side block occurring flaw in sample to be tested.
A kind of apparent flaws detection method, the method comprises: image capturing step, obtain the current image of the sample to be tested of the image unit picked-up of pick-up unit, this current image comprises side image and the projection image of this sample to be tested, and this projection image is the image that sample to be tested projects on the level crossing of pick-up unit; Image analysing computer step, carries out Defect Detection operation to the side image of sample to be tested, and the rotational angle of projection image determination sample to be tested according to sample to be tested; Template matching step, when detecting flaw in the side image of sample to be tested, obtain corresponding side image template according to the rotational angle of this sample to be tested, this side image template record has the side block comprised in the side image of sample to be tested under this rotational angle; Template matching step 2, compares the side image template of the side image of sample to be tested and this acquisition, determines the side block occurring flaw in sample to be tested.
Compared to prior art, described apparent flaws detection system and method, it can pre-set the side image template that sample to be tested is positioned at each rotational angle, the template record of each side image has the position of side block and side block, when there is flaw in side image sample to be tested being detected, the particular location of this flaw can be determined according to the side image template pre-set, thus improve the accuracy detecting sample to be tested apparent flaws.
Accompanying drawing explanation
Fig. 1 is the applied environment schematic diagram of apparent flaws detection system of the present invention.
Fig. 2 is the functional block diagram of apparent flaws detection system of the present invention.
Fig. 3 is the process flow diagram of apparent flaws detection method of the present invention preferred embodiment.
Fig. 4 is the structural representation of the pick-up unit in Fig. 1.
Fig. 5 is the side image of sample to be tested and the schematic diagram of the projection image of sample to be tested on level crossing of image unit picked-up.
Fig. 6 is the side image template schematic diagram that sample to be tested is positioned at each rotational angle.
Fig. 7 calculates the rotational angle of sample to be tested and the schematic diagram of position.
Fig. 8 is the schematic diagram determining the side block that the side image of sample to be tested comprises.
Fig. 9 is the position view determining the side block that the side image of sample to be tested comprises.
Figure 10 is the schematic diagram detecting side image and projection image from the current image of sample to be tested.
Figure 11 is the schematic diagram of being compared with corresponding side image template by the side image of sample to be tested.
Main element symbol description
Electronic installation 2
Pick-up unit 4
Display device 20
Input equipment 22
Storer 23
Apparent flaws detection system 24
Processor 25
Image unit 40
Level patrols turntable 42
Lighting source 43
Level crossing 45
Sample to be tested 60
Template establishment module 240
Image acquiring module 241
Image analysing computer module 242
Template matching module 243
Result output module 244
Embodiment
As shown in Figure 1, be the applied environment schematic diagram of apparent flaws detection system of the present invention.In the present embodiment, this apparent flaws detection system 24 runs in an electronic installation 2.Described electronic installation 2 is connected with pick-up unit 4 by data line.Described electronic installation 2 also comprises the display device 20, input equipment 22, storer 23 and the processor 25 that are connected with data line by signal wire.In the present embodiment, described electronic installation 2 can be a computer, and described display device 20 can be LCD Panel, and described input equipment 22 can be keyboard and mouse etc.
Consult shown in Fig. 4, described pick-up unit 4 comprise image unit (as video camera) 40, level patrols turntable (or be called horizontally rotate platform, horizontal rotation platform) 42, lighting source 43 and level crossing 45 etc.Described level is patrolled on turntable 42 and is placed with sample to be tested (Testing Sample) 60, and this sample to be tested 60 can be fixed on level by a fixed cell and patrol on turntable 42, prevents level from patrolling turntable 42 sample to be tested 60 when rotating and is moved or drops.Image unit 40 is installed on the side (as right side) that level patrols turntable, and lighting source 43 is installed on directly over sample to be tested 60, and level crossing 45 is installed on the opposite side (as left side) that level patrols turntable 42.In the present embodiment, described sample to be tested 60 is handheld device, as mobile phone.
Wherein, level crossing 45 can patrol turntable 42 by a connecting link and level and is connected.Described level is patrolled turntable 42 inside and is provided with CD-ROM drive motor, level of control can be patrolled turntable 42 and rotate by this CD-ROM drive motor, and the rotational angle of adjustment sample to be tested 60.This CD-ROM drive motor can be step motor or servo motor.Consult shown in Fig. 5, described image unit 40 can obtain side image and the projection image of sample to be tested 60 on level crossing 45 (hereinafter referred to as " the projection image of sample to be tested 60 ") of sample to be tested 60 simultaneously.
Described apparent flaws detection system 24 is positioned at the side image template of each rotational angle for pre-setting sample to be tested 60, the template record of each side image has the position of side block and side block, when there is flaw in side image sample to be tested 60 being detected, the particular location of this flaw can be determined according to the side image template pre-set, describe below detailed process.
In the present embodiment, described apparent flaws detection system 24 can be divided into one or more module, described one or more module to be stored in the storer 23 of electronic installation 2 and to be configured to be performed, to complete the present invention by one or more processor (the present embodiment is a processor 25).Such as, consult shown in Fig. 2, described apparent flaws detection system 24 is divided into template establishment module 240, image acquiring module 241, image analysing computer module 242, template matching module 243 and result output module 244.Module alleged by the present invention has been the program segment of a specific function, and be more suitable for describing software implementation within a processor than program, the function about each module will specifically describe in the flowchart of fig. 3.
As shown in Figure 3, be the process flow diagram of apparent flaws detection method of the present invention preferred embodiment.
Step S10, template establishment module 240 arranges the side image template that sample to be tested 60 is positioned at each rotational angle, wherein, the side image template record of each rotational angle has the position of side block and the side block comprised in the side image of sample to be tested 60 under this rotational angle.Such as, consult shown in Fig. 6, described sample to be tested 60 comprises four side blocks A, B, C, D, and wherein, rotational angle is that the side image template of 0 degree comprises side block A, and rotational angle is that the side image template of 30 degree comprises side block A and B.
Specifically, sample to be tested 60 is first placed in level and patrols on turntable 42 by system maintenance personnel, and starts level and patrol turntable 42 and rotate.The sample to be tested 60 that level patrols projection on image unit 40 pairs of sample to be tested 60 side outward appearances of turntable 42 side and level crossing 45 is taken, image unit 40 is taken the photograph simultaneously the side image of sample to be tested 60 and projection image (consulting shown in Fig. 5).
After the side image obtaining sample to be tested 60 and projection image, utilize image recognition technology, according to the label diagram on sample to be tested 60 and text printout position, determine the situations such as the rotational angle of sample to be tested 60 and position.Such as, image recognition technology can be utilized, label diagram in the projection image of sample to be tested 60 and the label in text printout position and standard video to be illustrated and compare in text printout position, calculate rotational angle and position (the consulting Fig. 7 shown) of sample to be tested 60.Described standard video can be this sample to be tested 60 image that image unit 40 is taken when being in initial position (as horizontality).
According to the information such as rotational angle and position of sample to be tested 60, the position of side block and the side block comprised in the side image of sample to be tested 60 can be determined further.Specifically, according to the label diagram in the projection image of sample to be tested 60 and text printout position, the side block comprised in the side image of sample to be tested 60 can be determined.Then, according to the rotational angle of sample to be tested 60, utilize sine to calculate the incident line length of each side block, according to the position of proportionate relationship determination side block in side image of incident line length.
For example, suppose the projection image of sample to be tested 60 as shown in Figure 8, according to the projection principle of level crossing 45, can determine that the side block comprised in the side image of sample to be tested 60 is A limit and B limit (namely the projecting the A limit on the upside of image and B limit) of sample to be tested.Continue to consult shown in Fig. 9, suppose that the rotational angle of sample to be tested 60 is θ, the length of side block A is a, the length of side block B is b, according to trigonometric function sine: the incident line length x=a × sin (θ) of side block A, the incident line length y=b × sin (θ) of side block B, wherein, sin () represents sine function.According to the proportionate relationship of incident line length x and y, the position of side block A and B in side image can be determined.
According to said method, level of control is patrolled turntable 42 and is rotated 360 degree by 0 degree of initial position, image unit 40 sequentially takes side image and the projection image of sample to be tested 60, set up the side image template of sample to be tested corresponding to each angle 60, and the side image template of sample to be tested 60 corresponding for each angle is stored in storer 23.
Step S11, start apparent flaws and detect operation, when sample to be tested 60 level patrol turntable 42 rotates time, image acquiring module 241 obtains the current image of the sample to be tested 60 that image unit 40 absorbs, and this current image comprises the side image of this sample to be tested 60 and the projection image (hereinafter referred to as " the projection image of sample to be tested 60 ") on level crossing 45.Level patrol turntable 42 rotate time, image unit 40 continues to take for the image of projection on the side of sample to be tested 60 and level crossing 45, and the current image therefore obtained can comprise side image and the projection image of sample to be tested 60.
Before startup apparent flaws detects operation, need level of control to patrol turntable 42 and navigate to zero degree initial position, at this zero degree initial position, sample to be tested 60 is in horizontal positioned state, such as, consults shown in Fig. 4.
Step S12, the side image of image analysing computer module 242 pairs of samples to be tested 60 carries out Defect Detection operation, simultaneously according to situations such as the rotational angle of the projection image determination sample to be tested of sample to be tested 60 and turned positions.Described image analysing computer module 242 can utilize existing various product appearance Defect Detection software, carries out Defect Detection operation to the side image of sample to be tested 60.
Specifically, image analysing computer module 242 utilizes image recognition technology (as feature samples comparison technology, Feature Template Matching), side image and the projection image of sample to be tested 60 is identified from current image, and determine side image and the region (as minimum area-encasing rectangle) projecting image, side image and the image beyond projection imagery zone are deleted, retains side image and projection image (consulting shown in Figure 10).
Then, image analysing computer module 242 utilizes image recognition technology, according to the label diagram on sample to be tested 60 and text printout position, determines the situations such as the rotational angle of sample to be tested 60 and position.Meanwhile, image analysing computer module 242 utilizes product appearance Defect Detection software, carries out apparent flaws detect operation to the side image of sample to be tested 60, whether there is flaw in the side image determining sample to be tested 60.
Step S13, image analysing computer module 242 judges whether occur flaw in the side image of sample to be tested 60.When there is flaw in the side image of sample to be tested 60, perform step S14; When there is not flaw in the side image of sample to be tested 60, return step S11.
Step S14, template matching module 243 obtains corresponding side image template according to the rotational angle of this sample to be tested 60.Such as, the rotational angle of sample to be tested 60 is 15 degree, then side image template when acquisition rotational angle is 15.
Step S15, the side image template of the side image of sample to be tested 60 and this acquisition is compared by template matching module 243, determines the side block occurring flaw in sample to be tested.Such as, consult shown in Figure 11, sample to be tested 60 is occurred the side image of flaw is compared known with corresponding side image template (180 ° of+θ), this flaw appears at the side block D of sample to be tested 60.
Then, the position of the side block occurring flaw recorded in sample to be tested by result output module 244, and will occur that the position display of the side block of flaw is on the display device 20 of electronic installation 2.
In other embodiments, the method also comprises further, and result output module 244, according to testing result, is classified to the complete sample to be tested 60 of detection, and testing result exported on the display device 20 of electronic installation 2.
Specifically, if all not there is flaw in all sides image of sample to be tested 60, then this sample to be tested 60 is categorized as specification product by result output module 244, and on the display device 20 of electronic installation 2, show the information detected by (Pass).If the side image that there is sample to be tested 60 comprises flaw, then this sample to be tested 60 is categorized as substandard product by result output module 244, and on the display device 20 of electronic installation 2, show the information detecting and do not have by (Failed).
In other embodiments, described apparent flaws detection system 24 also can run in the processor of pick-up unit 4, or a part of module runs in electronic installation 2, a part of module runs in pick-up unit 4 in addition, such as, module 240-241 can be run in the processor of pick-up unit 4, module 242-244 be run in the processor 25 of electronic installation 2.
Finally it should be noted that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to preferred embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not depart from the spirit and scope of technical solution of the present invention.

Claims (12)

1. an apparent flaws detection system, runs on electronic installation, it is characterized in that, this system comprises:
Image acquiring module, for obtaining the current image of the sample to be tested of the image unit picked-up of pick-up unit, this current image comprises side image and the projection image of this sample to be tested, and this projection image is the image that sample to be tested projects on the level crossing of pick-up unit;
Image analysing computer module, for carrying out Defect Detection operation to the side image of sample to be tested, and the rotational angle of projection image determination sample to be tested according to sample to be tested;
Template matching module, for when detecting flaw in the side image of sample to be tested, obtain corresponding side image template according to the rotational angle of this sample to be tested, this side image template record has the side block comprised in the side image of sample to be tested under this rotational angle; And
Described template matching module, also for the side image template of the side image of sample to be tested and this acquisition being compared, determines the side block occurring flaw in sample to be tested.
2. apparent flaws detection system as claimed in claim 1, it is characterized in that, this system also comprises:
Template establishment module, the side image template of each rotational angle is positioned at for arranging sample to be tested, wherein, the side image template record of each rotational angle has the position of side block and the side block comprised in the side image of sample to be tested under this rotational angle.
3. apparent flaws detection system as claimed in claim 2, it is characterized in that, the rotational angle of described sample to be tested obtains according to following methods:
Utilize image recognition technology, the label in the standard video of the label diagram in the projection image of sample to be tested and text printout position and sample to be tested is illustrated and compare in text printout position, calculates the rotational angle of this sample to be tested.
4. apparent flaws detection system as claimed in claim 2, it is characterized in that, the position of the side block comprised in described side image is determined according to following methods:
According to the rotational angle of sample to be tested, sine is utilized to calculate the incident line length of each side block, according to the position of proportionate relationship determination side block in side image of incident line length.
5. apparent flaws detection system as claimed in claim 1, it is characterized in that, this system also comprises:
Result output module, for recording in sample to be tested the position of the side block occurring flaw, and will occur that the position display of the side block of flaw is on the display device of electronic installation.
6. apparent flaws detection system as claimed in claim 1, it is characterized in that, the level that described image unit and level crossing are installed on this pick-up unit patrols turntable both sides, and this sample to be tested is positioned over level and patrols on turntable.
7. an apparent flaws detection method, runs on electronic installation, it is characterized in that, the method comprises:
Image capturing step, obtains the current image of the sample to be tested of the image unit picked-up of pick-up unit, and this current image comprises side image and the projection image of this sample to be tested, and this projection image is the image that sample to be tested projects on the level crossing of pick-up unit;
Image analysing computer step, carries out Defect Detection operation to the side image of sample to be tested, and the rotational angle of projection image determination sample to be tested according to sample to be tested;
Template matching step, when detecting flaw in the side image of sample to be tested, obtain corresponding side image template according to the rotational angle of this sample to be tested, this side image template record has the side block comprised in the side image of sample to be tested under this rotational angle; And
Template matching step 2, compares the side image template of the side image of sample to be tested and this acquisition, determines the side block occurring flaw in sample to be tested.
8. apparent flaws detection method as claimed in claim 7, it is characterized in that, the method also comprises:
Template establishment step, arranges the side image template that sample to be tested is positioned at each rotational angle, and wherein, the side image template record of each rotational angle has the position of side block and the side block comprised in the side image of sample to be tested under this rotational angle.
9. apparent flaws detection method as claimed in claim 8, it is characterized in that, the rotational angle of described sample to be tested obtains according to following methods:
Utilize image recognition technology, the label in the standard video of the label diagram in the projection image of sample to be tested and text printout position and sample to be tested is illustrated and compare in text printout position, calculates the rotational angle of this sample to be tested.
10. apparent flaws detection method as claimed in claim 8, it is characterized in that, the position of the side block comprised in described side image is determined according to following methods:
According to the rotational angle of sample to be tested, sine is utilized to calculate the incident line length of each side block, according to the position of proportionate relationship determination side block in side image of incident line length.
11. apparent flaws detection methods as claimed in claim 7, it is characterized in that, the method also comprises:
Result exports step, occurs the position of the side block of flaw, and will occur that the position display of the side block of flaw is on the display device of electronic installation in record sample to be tested.
12. apparent flaws detection methods as claimed in claim 7, it is characterized in that, the level that described image unit and level crossing are installed on this pick-up unit patrols turntable both sides, and this sample to be tested is positioned over level and patrols on turntable.
CN201310305518.1A 2013-07-19 2013-07-19 Apparent flaws detecting system and method Expired - Fee Related CN104297256B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310305518.1A CN104297256B (en) 2013-07-19 2013-07-19 Apparent flaws detecting system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310305518.1A CN104297256B (en) 2013-07-19 2013-07-19 Apparent flaws detecting system and method

Publications (2)

Publication Number Publication Date
CN104297256A true CN104297256A (en) 2015-01-21
CN104297256B CN104297256B (en) 2016-12-28

Family

ID=52317079

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310305518.1A Expired - Fee Related CN104297256B (en) 2013-07-19 2013-07-19 Apparent flaws detecting system and method

Country Status (1)

Country Link
CN (1) CN104297256B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107238955A (en) * 2017-06-30 2017-10-10 北京兆维科技开发有限公司 Liquid crystal module screen detecting system
CN109507198A (en) * 2018-12-14 2019-03-22 航天科工智能机器人有限责任公司 Mask detection system and method based on Fast Fourier Transform (FFT) and linear Gauss
CN111649919A (en) * 2020-06-12 2020-09-11 山东中衡光电科技有限公司 Visual inspection test bed that circular-arc simulation conveyer belt was indulged and is torn
CN113038012A (en) * 2021-03-16 2021-06-25 上海悦易网络信息技术有限公司 Appearance defect detection method and equipment for intelligent terminal

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1999017102A1 (en) * 1997-09-30 1999-04-08 Siemens Aktiengesellschaft A method of and apparatus for inspecting printed information
CN101555651A (en) * 2008-04-09 2009-10-14 Juki株式会社 Button differentiating device
US20100118137A1 (en) * 2008-11-07 2010-05-13 Toyota Motor Engineering & Manufacturing North America, Inc. Gradient image processing
CN101762231A (en) * 2008-12-26 2010-06-30 比亚迪股份有限公司 Device and method for detecting appearance of mobile phone keys
CN102735693A (en) * 2012-05-03 2012-10-17 天津大学 Vision-based steel ball surface defect detection apparatus and detection method
CN103185729A (en) * 2011-12-29 2013-07-03 百励科技股份有限公司 Appearance inspection apparatus and execution method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1999017102A1 (en) * 1997-09-30 1999-04-08 Siemens Aktiengesellschaft A method of and apparatus for inspecting printed information
CN101555651A (en) * 2008-04-09 2009-10-14 Juki株式会社 Button differentiating device
US20100118137A1 (en) * 2008-11-07 2010-05-13 Toyota Motor Engineering & Manufacturing North America, Inc. Gradient image processing
CN101762231A (en) * 2008-12-26 2010-06-30 比亚迪股份有限公司 Device and method for detecting appearance of mobile phone keys
CN103185729A (en) * 2011-12-29 2013-07-03 百励科技股份有限公司 Appearance inspection apparatus and execution method thereof
CN102735693A (en) * 2012-05-03 2012-10-17 天津大学 Vision-based steel ball surface defect detection apparatus and detection method

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107238955A (en) * 2017-06-30 2017-10-10 北京兆维科技开发有限公司 Liquid crystal module screen detecting system
CN107238955B (en) * 2017-06-30 2023-12-29 北京兆维科技开发有限公司 Liquid crystal module screen detection system
CN109507198A (en) * 2018-12-14 2019-03-22 航天科工智能机器人有限责任公司 Mask detection system and method based on Fast Fourier Transform (FFT) and linear Gauss
CN111649919A (en) * 2020-06-12 2020-09-11 山东中衡光电科技有限公司 Visual inspection test bed that circular-arc simulation conveyer belt was indulged and is torn
CN113038012A (en) * 2021-03-16 2021-06-25 上海悦易网络信息技术有限公司 Appearance defect detection method and equipment for intelligent terminal

Also Published As

Publication number Publication date
CN104297256B (en) 2016-12-28

Similar Documents

Publication Publication Date Title
US20190035316A1 (en) Defect detection method and defect detection device
US11189019B2 (en) Method for detecting defects, electronic device, and computer readable medium
RU2013119814A (en) AUTOMATED VISUAL INSPECTION SYSTEM
CN106802215A (en) A kind of device for detecting water leakage of water pipe and detection method
CN104297256A (en) Appearance flaw detection system and method
US11842482B2 (en) Defect detection of a component in an assembly
TWI479145B (en) System and Method for Detecting Shape Flaw
JP2019191117A (en) Image processing device, image processing method, and program
US20140320638A1 (en) Electronic device and method for detecting surface flaw of sample
US20170004617A1 (en) Electronic device and mehod for capturing multi-aspect images using the electronic device
TW201416657A (en) System and method for monitoring tests
JP5786622B2 (en) Image quality inspection method, image quality inspection apparatus, and image quality inspection program
CN110817674B (en) Method, device and equipment for detecting step defect of escalator and storage medium
US10788454B2 (en) Method and device for identifying defect opening profile
KR102091014B1 (en) Machine vision inspection device and product inspection method using machine vision
CN111951328A (en) Object position detection method, device, equipment and storage medium
CN108700522B (en) Method, device, chip and detection equipment for detecting substance
CN112788293B (en) Information acquisition method and device, terminal equipment and storage medium
CN116129348A (en) Foreign matter detection method, foreign matter detection device, electronic equipment and computer readable storage medium
US20150193942A1 (en) Automatic alignment system and method
CN1459628A (en) Circuit board plate material surface defect instant informing device
Jiang et al. Energy meter patch resistance and welding spot anomaly detection method based on machine vision
CN220751979U (en) Lithium battery defect detection system
CN103630547A (en) Method and device for inspecting flaws of optical film with periodic structures
CN115031640B (en) Train wheel set online detection method, system, equipment and storage medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20180207

Address after: Haiyun street, Tianjin economic and Technological Development Zone No. 80

Patentee after: Hongfujin Precision Electronics (Tianjin) Co., Ltd.

Address before: 518109 Guangdong city of Shenzhen province Baoan District Longhua Town Industrial Zone tabulaeformis tenth East Ring Road No. 2 two

Co-patentee before: Hon Hai Precision Industry Co., Ltd.

Patentee before: Hongfujin Precise Industry (Shenzhen) Co., Ltd.

TR01 Transfer of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20161228

Termination date: 20170719

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