CN107309178A - Cell phone intelligent automated test device - Google Patents
Cell phone intelligent automated test device Download PDFInfo
- Publication number
- CN107309178A CN107309178A CN201710283577.1A CN201710283577A CN107309178A CN 107309178 A CN107309178 A CN 107309178A CN 201710283577 A CN201710283577 A CN 201710283577A CN 107309178 A CN107309178 A CN 107309178A
- Authority
- CN
- China
- Prior art keywords
- auxiliary material
- image processing
- automatic
- cell phone
- test device
- 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
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8411—Application to online plant, process monitoring
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Image Processing (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
Present invention is disclosed a kind of cell phone intelligent automated test device, the test equipment includes：Laser signal trigger, light source, industry camera, image processing software, communication/input-output unit, automatic rejection unit；The Visual intelligent detection device can be with the various defects of on-line checking auxiliary material；Equipment principle：Detected target is converted into picture signal by Machine Vision Inspecting System using CCD camera, send special image processing system to, according to the information such as pixel distribution and brightness, color, it is transformed into digitized signal, image processing system carries out various computings to extract clarification of objective to these signals, such as area, quantity, position, length, further according to default permissibility and other conditions output result, including size, angle, number, it is qualified/unqualified, with/without etc., realize automatic identification and removing function.Cell phone intelligent automated test device proposed by the present invention, can improve detection efficiency and accuracy, and stability is strong.
Description
Technical field
The invention belongs to mobile phone test technical field, it is related to a kind of mobile phone test equipment, more particularly to a kind of cell phone intelligent
Automated test device.
Background technology
Auxiliary material (gum, foam, diaphragm, Air Filter) assembling on handset shell generally has two kinds：Craft is assembled and oneself
Dynamicization equipment is assembled；Due to the development of Intelligent hardware, handset structure space is less and less, and the status requirement of auxiliary material is increasingly
It is high.
The detection of traditional auxiliary material is all artificial detection, and naked eyes detection for a long time then easily produces visual fatigue, judgement with
Meaning property is big, easily occurs missing inspection, and complete machine assembling property can cause the mass effects such as structural instability spare and accessory parts failure not when testing
It is up to standard so as to causing customer complaint or quality to complain event.
The content of the invention
The technical problems to be solved by the invention are：A kind of cell phone intelligent automated test device is provided, detection can be improved
Efficiency and accuracy, stability are strong.
In order to solve the above technical problems, the present invention is adopted the following technical scheme that：
A kind of cell phone intelligent automated test device, the test equipment includes：Laser signal trigger, light source, industry
Camera, image processing software, communication/input-output unit, automatic rejection unit；
The Visual intelligent detection device can be with the various defects of on-line checking auxiliary material；Equipment principle：
Detected target is converted into picture signal by Machine Vision Inspecting System using CCD camera, is sent to special
Image processing system, according to the information such as pixel distribution and brightness, color, be transformed into digitized signal, image processing system pair
These signals carry out various computings to extract clarification of objective, such as area, quantity, position, length, further according to default permissibility
With other conditions output result, including size, angle, number, it is qualified/unqualified, with/without etc., realize automatic identification and rejecting
Function.
The Visual intelligent detection device feature：1. pasting the leakage patch mistake patches of automatic detection auxiliary material in an assembling process more
Put whether the defect such as correct screw from not being marked, and the tolerance of auxiliary material is adjusted flexibly according to actual conditions；2. pipelining is used,
Defective products automatic alarm is rejected and display defect position；3. detection efficiency：2000pcs/h；Yield more than 99.8%；Rate of false alarm
Less than 0.5% (automatic rejection falls)；Full inspection person 4 can be saved in patch auxiliary material line (1500-2000pcs/h) automatically, in manual patch
Auxiliary material line (600-800pcs/h) can save full inspection person 2；4. versatility is high, thread-changing is fast, within different product thread-changing one minute
Complete, new product is completed in 20 minutes；5. MAS systems can be connected, it is automatic to carry out SPC statistics, generate control chart, plan and product
Matter real-time online is managed；
The beneficial effects of the present invention are：Cell phone intelligent automated test device proposed by the present invention, can improve detection effect
Rate and accuracy, stability are strong.
The present invention by existing vision detection technology, thorough liberation manually during mobile phone production and assembly auxiliary material detection
Work, detection efficiency is artificial 4 times；Avoid because the quality such as structural instability spare and accessory parts failure is imitated caused by auxiliary material problem
Fruit problem not up to standard；Equipment interoperability is good, and stability is strong, is easy to use and safeguards.
Embodiment
The following detailed description of the preferred embodiments of the present invention.
Embodiment one
Present invention is disclosed a kind of cell phone intelligent automated test device, the test equipment includes：Laser signal is triggered
Device, light source, industry camera, image processing software, communication/input-output unit, automatic rejection unit；
The Visual intelligent detection device can be with the various defects of on-line checking auxiliary material；Equipment principle：Machine Vision Detection system
Detected target is converted into picture signal by system using CCD camera, special image processing system is sent to, according to pixel
The information such as distribution and brightness, color, is transformed into digitized signal, and image processing system carries out various computings to take out to these signals
Take clarification of objective, such as area, quantity, position, length, further according to default permissibility and other conditions output result, including
Size, angle, number, it is qualified/unqualified, with/without etc., realize automatic identification and removing function.
The Visual intelligent detection device feature：1. pasting the leakage patch mistake patches of automatic detection auxiliary material in an assembling process more
Put whether the defect such as correct screw from not being marked, and the tolerance of auxiliary material is adjusted flexibly according to actual conditions；2. pipelining is used,
Defective products automatic alarm is rejected and display defect position；3. detection efficiency：2000pcs/h；Yield more than 99.8%；Rate of false alarm
Less than 0.5% (automatic rejection falls)；Full inspection person 4 can be saved in patch auxiliary material line (1500-2000pcs/h) automatically, in manual patch
Auxiliary material line (600-800pcs/h) can save full inspection person 2；4. versatility is high, thread-changing is fast, within different product thread-changing one minute
Complete, new product is completed in 20 minutes；5. MAS systems can be connected, it is automatic to carry out SPC statistics, generate control chart, plan and product
Matter real-time online is managed.
In summary, cell phone intelligent automated test device proposed by the present invention, can improve detection efficiency and accuracy, surely
It is qualitative strong.
The present invention by existing vision detection technology, thorough liberation manually during mobile phone production and assembly auxiliary material detection
Work, detection efficiency is artificial 4 times；Avoid because the quality such as structural instability spare and accessory parts failure is imitated caused by auxiliary material problem
Fruit problem not up to standard；Equipment interoperability is good, and stability is strong, is easy to use and safeguards.
Here description of the invention and application be illustrative, be not wishing to limit the scope of the invention to above-described embodiment
In.The deformation and change of embodiments disclosed herein are possible, real for those skilled in the art
The replacement and equivalent various parts for applying example are known.It should be appreciated by the person skilled in the art that not departing from the present invention
Spirit or essential characteristics in the case of, the present invention can in other forms, structure, arrangement, ratio, and with other components,
Material and part are realized.In the case where not departing from scope and spirit of the present invention, embodiments disclosed herein can be entered
The other deformations of row and change.
Claims (1)
1. a kind of cell phone intelligent automated test device, it is characterised in that the test equipment includes：Laser signal trigger,
Light source, industry camera, image processing software, communication/input-output unit, automatic rejection unit；
The Visual intelligent detection device can be with the various defects of on-line checking auxiliary material；Equipment principle：
Detected target is converted into picture signal by Machine Vision Inspecting System using CCD camera, sends special figure to
As processing system, according to pixel distribution and brightness, colouring information, it is transformed into digitized signal, image processing system is believed these
Number carry out various computings to extract clarification of objective, such as area, quantity, position, length, further according to default permissibility and other
Output with conditions result, including size, angle, number, it is qualified/unqualified, with/without realizing automatic identification and removing function；
The Visual intelligent detection device feature：1. leakage patch, the mistake of automatic detection auxiliary material in an assembling process are pasted, patch, position more is
No correct, screw from not being marked defect, and the tolerance of auxiliary material is adjusted flexibly according to actual conditions；2. pipelining is used, defective products
Automatic alarm is rejected and display defect position；3. detection efficiency：2000pcs/h；Yield more than 99.8%；Rate of false alarm 0.5% with
Lower automatic rejection falls；Full inspection person 4 can be saved in patch auxiliary material line automatically, full inspection person 2 can be saved in patch auxiliary material line by hand；4. it is logical
High with property, thread-changing is fast, and different product thread-changing is completed within one minute, and new product is completed in 20 minutes；5. MAS systems are connected,
It is automatic to carry out SPC statistics, generate control chart, plan and the management of quality real-time online.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710283577.1A CN107309178A (en) | 2017-04-26 | 2017-04-26 | Cell phone intelligent automated test device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710283577.1A CN107309178A (en) | 2017-04-26 | 2017-04-26 | Cell phone intelligent automated test device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107309178A true CN107309178A (en) | 2017-11-03 |
Family
ID=60185244
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710283577.1A Pending CN107309178A (en) | 2017-04-26 | 2017-04-26 | Cell phone intelligent automated test device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107309178A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108391415A (en) * | 2018-05-30 | 2018-08-10 | 上海索广映像有限公司 | A kind of automatic inspection jig of panel module assembly production chain |
| CN109001217A (en) * | 2018-08-25 | 2018-12-14 | 深圳市木森科技有限公司 | A kind of detection method and detection device of phone housing defect |
| CN110070524A (en) * | 2019-04-03 | 2019-07-30 | 北京东舟技术股份有限公司 | A kind of intelligent terminal panel visual fault detection system |
| CN111542218A (en) * | 2020-04-23 | 2020-08-14 | 国网浙江省电力有限公司电力科学研究院 | Electric energy meter credible production patch link acquisition verification method and system |
| CN115741238A (en) * | 2022-11-16 | 2023-03-07 | 江苏赛洋机电科技有限公司 | Intelligent detection integrated bus type high-performance numerical control equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102218406A (en) * | 2011-01-04 | 2011-10-19 | 华南理工大学 | Intelligent detection device of defects of mobile phone outer shell based on machine vision |
| KR101432435B1 (en) * | 2013-03-21 | 2014-08-21 | 권지훈 | Vision system for mobile devices using slant type inspect Machine |
| CN204656979U (en) * | 2015-04-29 | 2015-09-23 | 深圳市福昌电子技术有限公司 | A kind of automatic checkout equipment of Logo and nut in mobile phone shell |
| CN205436358U (en) * | 2016-01-15 | 2016-08-10 | 江西麦克斯韦自动化设备有限公司 | Mobile phone front and back logo detection equipment |
| CN105903682A (en) * | 2016-04-11 | 2016-08-31 | 深圳淘绿信息科技股份有限公司 | Automatic mobile phone sorting system and mobile phone sorting method |
-
2017
- 2017-04-26 CN CN201710283577.1A patent/CN107309178A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102218406A (en) * | 2011-01-04 | 2011-10-19 | 华南理工大学 | Intelligent detection device of defects of mobile phone outer shell based on machine vision |
| KR101432435B1 (en) * | 2013-03-21 | 2014-08-21 | 권지훈 | Vision system for mobile devices using slant type inspect Machine |
| CN204656979U (en) * | 2015-04-29 | 2015-09-23 | 深圳市福昌电子技术有限公司 | A kind of automatic checkout equipment of Logo and nut in mobile phone shell |
| CN205436358U (en) * | 2016-01-15 | 2016-08-10 | 江西麦克斯韦自动化设备有限公司 | Mobile phone front and back logo detection equipment |
| CN105903682A (en) * | 2016-04-11 | 2016-08-31 | 深圳淘绿信息科技股份有限公司 | Automatic mobile phone sorting system and mobile phone sorting method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108391415A (en) * | 2018-05-30 | 2018-08-10 | 上海索广映像有限公司 | A kind of automatic inspection jig of panel module assembly production chain |
| CN109001217A (en) * | 2018-08-25 | 2018-12-14 | 深圳市木森科技有限公司 | A kind of detection method and detection device of phone housing defect |
| CN110070524A (en) * | 2019-04-03 | 2019-07-30 | 北京东舟技术股份有限公司 | A kind of intelligent terminal panel visual fault detection system |
| CN111542218A (en) * | 2020-04-23 | 2020-08-14 | 国网浙江省电力有限公司电力科学研究院 | Electric energy meter credible production patch link acquisition verification method and system |
| CN115741238A (en) * | 2022-11-16 | 2023-03-07 | 江苏赛洋机电科技有限公司 | Intelligent detection integrated bus type high-performance numerical control equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107309178A (en) | Cell phone intelligent automated test device | |
| CN105548201A (en) | Battery welding cap visual-inspection method | |
| CN104792788A (en) | Gluing visual detection method and device | |
| CN105021628A (en) | Detection method for surface defects of optical fiber image inverter | |
| CN110376220A (en) | Realize the device and method of real-time judgment glass panel defect | |
| CN108594484A (en) | Panel detection and reparation integral system | |
| CN105891228A (en) | Optical fiber appearance defect detecting and outer diameter measuring device based on machine vision | |
| TWM334411U (en) | Automatic test and efficiency real-time monitoring apparatus of production line | |
| CN103200789B (en) | A kind of printed wiring board transplanting technique | |
| CN105301008A (en) | Tipping paper quality test warning system and on-line quality test method | |
| CN116128881B (en) | Lens detection system and method for defect product synchronous marking | |
| CN202066794U (en) | Full-automatic key detection device | |
| CN208721008U (en) | A kind of rotating disc type CCD vision-based detection automation equipment | |
| CN108508022A (en) | Polyphaser joining image-forming detection method | |
| CN111000286A (en) | Anti-interference cigarette appearance quality online detection device and method | |
| CN105312707A (en) | Welding machine capable of automatically sorting and discharging | |
| CN209014672U (en) | A kind of double wiring harness test instrument of intelligence | |
| CN112834522A (en) | Visual detection feedback control system | |
| CN208555086U (en) | A kind of magnetic core Automated Sorting System based on machine vision | |
| CN206684071U (en) | A kind of double surface defect vision inspection apparatus of rapid large-area transparent substrate | |
| CN116253026A (en) | Cigarette appearance detection and discrimination processing system and method for GDX2 packaging equipment | |
| CN109655472A (en) | A method of battery core is detected based on X-Ray | |
| CN211263229U (en) | Bottled liquid detection optical system | |
| CN207721202U (en) | Filter-stick forming device gluing quality on-line monitoring device | |
| CN106733683A (en) | Mobile phone automatic test line and its method of testing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20171103 |