CN103940822A - Product outer surface defect image acquisition device based on machine vision - Google Patents
Product outer surface defect image acquisition device based on machine vision Download PDFInfo
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Abstract
The invention discloses a product outer surface defect image acquisition device based on machine vision. The product outer surface defect image acquisition device comprises a product to be detected, a camera which is arranged corresponding to the product to be detected, and a lens which is arranged around the product to be detected. Compared with an existing system which utilizes five cameras to carry out image acquisition on five surfaces of a cell phone shell, the product outer surface defect image acquisition device only uses one camera and one station to simultaneously finish the defect image acquisition of five surfaces of the cell phone shell, so that the cost is saved greatly; the cell phone shell does not need to be pushed by an air cylinder to turn for a right angle so that continuous detection is convenient to realize; the product outer surface defect image acquisition device is simple in structure, simple and convenient to operate, small in data processing amount and short in detection period.
Description
Technical field
The present invention relates to a kind of image collecting device, particularly a kind of product external surfaces defect image harvester based on machine vision.
Background technology
In injecting products manufacture process, product surface there will be the defects such as stain, cut, particle.The electronic product such as mobile phone, digital camera is high to appearance requirement, is unallowed as surface exists defect.The testing of current domestic electronic product appearance surfaces is mainly by artificial naked eyes range estimation.Because the characteristic difference of defect is trickle, add material therefor and the restriction of workshop lighting condition, some defect is difficult to be resolved out from background, and workman need to repeatedly adjust viewing angle and could find, human eye long-time continuous operation meeting visual fatigue, is easy to cause flase drop, undetected.
The features such as mechanical vision inspection technology has noncontact, speed is fast, accuracy rate is high and intelligent are used widely in industry.Along with the development of Morden Image Processing Technology and machine vision equipment, mechanical vision inspection technology is applied to the more complicated problem of solution widely.Compared with traditional detection method, can more easily tiny flaw be gathered and be analyzed, can complete more accurately and rapidly detection.
Phone housing detection system needs respectively front and the side, left, right, front and rear to phone housing to detect.Due to the restriction of camera and light source installation site, at present common detection system needs five cameras on three stations, to complete respectively the collection to front, upper and lower a, left side and right hand view picture, phone housing sample need to, through two travelling belts, be realized and turning between travelling belt by cylinder.The shortcomings such as therefore, traditional images acquisition system exists complicated in mechanical structure, system debug difficulty, data processing amount is large, sense cycle is long, hardware cost is high.
Summary of the invention
For the technical matters existing in prior art, the object of the invention is: provide a kind of on a station camera complete the image acquisition to five outside surfaces of product and it is simple in structure, easy and simple to handle, data processing amount is little, sense cycle is short, the product external surfaces defect image harvester based on machine vision of low cost of manufacture simultaneously.
Object of the present invention is achieved through the following technical solutions: a kind of product external surfaces defect image harvester based on machine vision, the eyeglass that comprises product to be detected, arranges with the camera of the corresponding setting of described product to be detected and around described product to be detected.
Preferably, described eyeglass is four and is all obliquely installed upward, and four eyeglasses are centered around respectively the surrounding of product to be detected.
Preferably, 45 ° of settings of described eyeglass inclination.
Preferably, described eyeglass is concave mirror or level crossing.
Preferably, be also provided with light filling source, described light filling source comprises coaxial light source and strip source, and coaxial light source is arranged at camera front, and strip source is orthogonal to be arranged between coaxial light source and eyeglass and strip source tilts to product to be detected.
Preferably, also comprise light shield, described product to be detected, camera, eyeglass and light filling source are arranged in light shield.
Preferably, be also provided with the light source controller being connected with light filling source.
Preferably, described product to be detected is phone housing, display screen or steel plate.
Preferably, be also provided with and control the sensor that camera is taken pictures.
The present invention has following advantage and effect with respect to prior art:
1, the relative existing system of the present invention needs five cameras to carry out image acquisition to five surfaces of phone housing, the present invention only needs to use station of a camera can complete five surperficial defect image collections to phone housing simultaneously and has greatly saved cost, without cylinder-pushed phone housing right-angle steering, facilitate serialization detect, and simple in structure, easy and simple to handle, data processing amount is little, sense cycle is short.
2, many cameras of the multiple stations of the relatively existing image capturing system of the present invention triggering collection image respectively, the present invention only needs a sensor-triggered signal, the camera position having solved in many signals of multistation trigger method Installation and Debugging process is interfered and picture processing queue latency issue, improved image detection speed, and Installation and Debugging are convenient.
Brief description of the drawings
Fig. 1 is one of a kind of product external surfaces defect image harvester schematic diagram based on machine vision of the present invention.
Fig. 2 is two of a kind of product external surfaces defect image harvester schematic diagram based on machine vision of the present invention.
Fig. 3 is a kind of product external surfaces defect image harvester image acquisition effect schematic diagram based on machine vision of the present invention.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment mono-:
As Figure 1-3, a kind of product external surfaces defect image harvester based on machine vision, eyeglass 5, light filling source, the lighttight light shield 6 that comprises product 4 to be detected, arrange with the camera 1 of the corresponding setting of described product 4 to be detected, around described product 4 to be detected and the light source controller being connected with light filling source, described product to be detected 4, camera 1, eyeglass 5, light source controller and light filling source are arranged in light shield 6, facilitate the adjustment of light, be provided with in addition and control the sensor that camera 1 is taken pictures.
Described eyeglass 5 is four and all arranges towards tilting 45 °, and four eyeglasses 5 are centered around respectively the surrounding of product 4 to be detected, and described eyeglass 5 is concave mirror or level crossing.
Described light filling source comprises coaxial light source 2 and four strip sources 3, coaxial light source 2 is arranged at camera 1 front, four strip sources 3 are orthogonal to be arranged between coaxial light source 2 and eyeglass 5 and strip source 3 is aimed at respectively left and right, upper and lower four faces of product 4 to be detected to product 4 to be detected four strip sources 3 that tilt, and strip source 3 can also be annular light source in addition.
Described product to be detected 4 can be phone housing, display screen or steel plate.
The course of work of the present invention and principle of work: taking phone housing as example, coaxial light source and camera dead in line, main being responsible for the illumination of mobile phone outer casing frontispiece.As Fig. 2, four strip sources tilt to phone housing around coaxial light source axis under being positioned at coaxial light source, and main being responsible for carried out light filling to four sides of phone housing; Four eyeglasses are positioned at strip source below and are inclined to set around coaxial light source axis, are responsible for the image of reflection four sides of phone housing.Under phone housing arrives camera time, coaxial light source is lighted, and four strip sources are lighted light filling is carried out in four sides of phone housing, and camera is taken pictures at once simultaneously.As shown in Figure 3, phone housing direct picture information is directly taken acquisition, four of upper and lower, left and right side image information 7 obtains by lens reflecting, in the time taking pictures, also photographed together with four eyeglasses, and four of upper and lower, left and right side image information 7 adds respectively the image information that altogether can obtain five faces directly photographing on four eyeglasses simultaneously.
Above-described embodiment is preferably embodiment of the present invention; but embodiments of the present invention are not restricted to the described embodiments; other any do not deviate from change, the modification done under Spirit Essence of the present invention and principle, substitutes, combination, simplify; all should be equivalent substitute mode, within being included in protection scope of the present invention.
Claims (9)
1. the product external surfaces defect image harvester based on machine vision, is characterized in that: the eyeglass that comprises product to be detected, arranges with the camera of the corresponding setting of described product to be detected and around described product to be detected.
2. a kind of product external surfaces defect image harvester based on machine vision according to claim 1, is characterized in that: described eyeglass is four and is all obliquely installed upward, and four eyeglasses are centered around respectively the surrounding of product to be detected.
3. a kind of product external surfaces defect image harvester based on machine vision according to claim 1, is characterized in that: 45 ° of settings of described eyeglass inclination.
4. a kind of product external surfaces defect image harvester based on machine vision according to claim 1, is characterized in that: described eyeglass is concave mirror or level crossing.
5. according to the arbitrary described a kind of product external surfaces defect image harvester based on machine vision of claim 1-4, it is characterized in that: be also provided with light filling source, described light filling source comprises coaxial light source and strip source, coaxial light source is arranged at camera front, and strip source is orthogonal to be arranged between coaxial light source and eyeglass and strip source tilts to product to be detected.
6. a kind of product external surfaces defect image harvester based on machine vision according to claim 5, is characterized in that: also comprise light shield, described product to be detected, camera, eyeglass and light filling source are arranged in light shield.
7. a kind of product external surfaces defect image harvester based on machine vision according to claim 6, is characterized in that: be also provided with the light source controller being connected with light filling source.
8. a kind of product external surfaces defect image harvester based on machine vision according to claim 1, is characterized in that: described product to be detected is phone housing, display screen or steel plate.
9. a kind of product external surfaces defect image harvester based on machine vision according to claim 1, is characterized in that: be also provided with and control the sensor that camera is taken pictures.
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| CN201410130076.6A CN103940822A (en) | 2014-04-01 | 2014-04-01 | Product outer surface defect image acquisition device based on machine vision |
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| CN201410130076.6A CN103940822A (en) | 2014-04-01 | 2014-04-01 | Product outer surface defect image acquisition device based on machine vision |
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| CN105891218A (en) * | 2016-05-09 | 2016-08-24 | 成都慧信实验设备有限公司 | Device for detecting electronic element surface defect |
| CN105973898A (en) * | 2016-06-17 | 2016-09-28 | 苏州玻色智能科技有限公司 | Detection device of intelligent-terminal touch-screen protection cover plate |
| CN106093054A (en) * | 2016-08-22 | 2016-11-09 | 昆山杰士德精密工业有限公司 | Mobile phone surface scratch detection equipment |
| CN106125454A (en) * | 2016-06-29 | 2016-11-16 | 深圳市路远自动化设备有限公司 | A kind of combined light source of intelligence equipment chip mounter line scanning recognition system |
| CN106168579A (en) * | 2016-08-22 | 2016-11-30 | 昆山杰士德精密工业有限公司 | The vision-based detection tool of built-in antenna of mobile phone |
| CN106670637A (en) * | 2017-01-23 | 2017-05-17 | 上海发那科机器人有限公司 | Automatic grinding and compensating system for robot welding electrode cap |
| CN106770307A (en) * | 2016-09-27 | 2017-05-31 | 西京学院 | A kind of electronic product appearance surfaces defect detecting device and its detection method |
| CN106959297A (en) * | 2017-03-27 | 2017-07-18 | 杭州雷神激光技术有限公司 | A kind of face of weld defect video real-time detecting system and its detection method |
| CN107132238A (en) * | 2017-06-28 | 2017-09-05 | 南昌航空大学 | A kind of image collecting device for bearing roller periphery |
| CN107153069A (en) * | 2017-06-30 | 2017-09-12 | 苏州优纳科技有限公司 | A kind of device checked for FPC open defects |
| CN108215464A (en) * | 2017-12-19 | 2018-06-29 | 广东北玻臻兴玻璃技术工业有限公司 | A kind of full-automatic glass printing equipment |
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| CN109060827A (en) * | 2018-10-05 | 2018-12-21 | 深圳智检慧通科技有限公司 | A kind of intelligent visual detection identification equipment |
| CN109342457A (en) * | 2018-10-05 | 2019-02-15 | 深圳智检慧通科技有限公司 | A kind of two-sided vision-based detection identification equipment |
| CN109513639A (en) * | 2019-01-03 | 2019-03-26 | 菲特(天津)智能科技有限公司 | Annular work piece inner wall defect detection device and method based on machine vision |
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| CN111103292A (en) * | 2019-12-31 | 2020-05-05 | 深圳市智信精密仪器有限公司 | Mobile phone defect inspection visual device based on deep learning |
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| CN113252567A (en) * | 2021-06-08 | 2021-08-13 | 菲特（天津）检测技术有限公司 | Method, system, medium and terminal for rapidly detecting multiple defects on surface of aluminum valve plate |
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| CN113639658B (en) * | 2021-08-06 | 2024-08-20 | 江苏创源电子有限公司 | Carrier assembly and detection device |
| CN113640318A (en) * | 2021-10-19 | 2021-11-12 | 四川京龙光电科技有限公司 | Four mirror surface intellectual detection system equipment of monocular |
| CN115184354A (en) * | 2022-07-11 | 2022-10-14 | 深圳市泽峰光电科技有限公司 | Integrated log measuring instrument |
| CN118483160A (en) * | 2024-07-16 | 2024-08-13 | 浙江赛摩智能科技有限公司 | Visual inspection apparatus for chip assembly defect inspection |
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