CN103984967A - Automatic detection system and automatic detection method applied to commodity label detection - Google Patents
Automatic detection system and automatic detection method applied to commodity label detection Download PDFInfo
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- CN103984967A CN103984967A CN201410193558.6A CN201410193558A CN103984967A CN 103984967 A CN103984967 A CN 103984967A CN 201410193558 A CN201410193558 A CN 201410193558A CN 103984967 A CN103984967 A CN 103984967A
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Abstract
The invention discloses an automatic detection system and an automatic detection method applied to commodity label detection. A gunlock is controlled by means of a monitoring module to shoot commodity label images, an Adaboost algorithm is adopted for the gunlock to automatically detect commodity label positions during shooting, the gunlock is focused on the commodity label positions, automation of the shooting process is achieved, manual intervention is not needed, time consumed by manual shooting is saved greatly, automated control is achieved, standardized shooting can be achieved, the problems that long time is consumed and shot images are not unified during manual shooting are solved, and generation efficiency of quality testing reports is improved to a great extent.
Description
Technical field
The present invention relates to quality inspection process automation field, be specifically related to a kind of automatic checkout system and automatic testing method that Commercial goods labels detects that be applied to.
Background technology
People often derive from the packaging quality of product to the first impression of product, meanwhile, whether the high-quality of packing of product quality is the important evaluation criterion that whether qualified product is, and the label in packing has reflected some Fundamentals of product especially.When Product labelling occurs that printing is unclear, distort while waiting situation that affects label reading, not only can damage the impression of consumer to enterprise, even can feed through to whole supply and marketing chain, affect production efficiency.
Any a commodity all have Commercial goods labels, and Commercial goods labels carries numerous information.Take ready-made clothes label as example, among it, not only comprised our familiar clothes money number, size, one-tenth grading information, also comprised the security information that we usually ignore---GB sign and FZ indicate.GB sign refers to GB18401-2010 < < National Fundamental Safety Technical Standard For Textiles > >, it has stipulated the formaldehyde determination of textile, the important safety standards such as colour fastness and pH pH-value determination pH, make textile in the circulation of production & marketing, can ensure health and the life security of correlated crowd.What FZ represented is commodity production operative norm, is national industry standard.Two signs of this on clothes represent that it has passed through coherent detection, are to be identified the article that can sell safely.
Between commodity production and the link of sale, also have one requisite, be to detect by the quality inspection of special quality inspection organization.The special quality inspection organization that commodity are correlated with, after having carried out a series of verification test, need to offer the proof that manufacturer is correlated with, i.e. quality inspection report, completes quality inspection procedure, and the commodity of producing like this could normally circulation on market.
In quality inspection process, need to carry out record to Commercial goods labels, the means of record are by quality inspection personnel, commodity to be taken conventionally, then in photographic images, extract the part of Sign Board.Can imagine in this process and can go out various situations.When commodity image taking is unintelligible, Sign Board can not guarantee clear shooting, will again take so the Commercial goods labels of commodity, and the whole cycle is very long, and can not guarantee efficiently, thereby is a severe test to the efficiency of quality inspection.Meanwhile, when Commercial goods labels image is processed, cutting image is again an important problem.Standardization is emphasized in quality inspection report, and the image of artificial preliminary cutting can not guarantee that some material particulars of picture are as the consistance of size, back gauge etc., and this can produce and threaten the standardization of quality inspection report.And through these operations, also can only obtain the image information of Commercial goods labels, and can not Obtaining Accurate to the Word message on label, cannot judge whether standard of label substance
Summary of the invention
For the deficiencies in the prior art, the invention provides a kind of automatic checkout system and automatic testing method that Commercial goods labels detects that be applied to.
Be applied to the automatic checkout system that Commercial goods labels detects, comprise:
With the gunlock of The Cloud Terrace, for gathering Commercial goods labels image, when gathering Commercial goods labels image, adopt Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position;
Memory storage, the Commercial goods labels image collecting for storing gunlock, and form tag library;
Bar code scanner, for items scanning bar code;
Supervising device, gathers Commercial goods labels image for commodity bar code and the described gunlock of tag library control scanning according to bar code scanner:
If be to have the Commercial goods labels image corresponding with this bar code in tag library, continue the next commodity bar code of scanning;
Otherwise, set the acquisition parameter that gunlock gathers Commercial goods labels image, and control gunlock according to the acquisition parameter collection Commercial goods labels image of setting, and the Commercial goods labels image collecting is added into tag library.
Of the present invention be applied in automatic checkout system that Commercial goods labels detects by supervising device controls high definition gunlock to the Intelligent Recognition of Commercial goods labels, focus on shooting, realize the automatic detection to label in commodity quality inspection process, and all Commercial goods labelses are stored with the formation of tag library, be convenient to check at any time and call, this automatic checkout system has realized the robotization of the Commercial goods labels image in Commercial goods labels detection and has obtained, and has greatly improved the efficiency that Commercial goods labels detects.
Between memory storage described in the present invention and gunlock and monitoring module, by Ethernet, be connected.Monitoring module in the present invention can be PC, is loaded with monitoring function software on this PC, and user completes the various functions of this monitoring module by controlling PC.Can realize functions such as comprising Real-Time Monitoring, automatic/hand candid photograph are controlled, acquisition parameter is managed, Image Mosaics is synthetic, user management.Bar code scanner is connected on PC by USB interface.
Gunlock mainly contains following ingredient, is respectively video acquisition module, video processing module, video transmission module and power module.Video acquisition module is mainly comprised of one camera lens, cmos sensor and peripheral components thereof, realizes high-definition image collection and is transferred to video processing module.Video processing module is comprised of ARM core processor and peripheral components thereof, and operational system program and coding and decoding video algorithm, Intelligent Recognition algorithm are realized the Intelligent Recognition of Commercial goods labels, automatic focus and give video transmission module by video data transmitting.Video transmission module is comprised of Ethernet switching chip and peripheral components thereof, realizes the Internet Transmission of video data.Power module is mainly comprised of rectification circuit and DC/DC chip, and support adapter interface (AC24V/DC12V) is powered and is converted into the required power supply of internal system.Gunlock to adjust shooting distance and angle, is supported the automatic identification to Commercial goods labels by the lifting of robotization The Cloud Terrace, rotation.
Accuracy rate for guarantee detecting in the present invention, adopts the high definition gunlock with The Cloud Terrace, possesses 1080P resolution, and has Adaboost algorithm and automatically detect Commercial goods labels position and focus on this position.
Described monitoring module also gathers the process status information of Commercial goods labels image for monitoring gunlock, and the process status information monitoring is carried out to visual output.
Video image, focal length, the multiplying power of gunlock when described process status information comprises current shooting, and the position of gunlock.
By the process status information real-time visual output of gatherer process, be convenient to image and position that user observes shooting, thereby carry out as required manual intervention, adjust relevant acquisition parameter, improve the Commercial goods labels picture quality collecting, and then improve the accuracy rate of testing result.
Described monitoring module is also for adopting SVM algorithm to carry out word identification to Commercial goods labels image, and forms corresponding quality inspection report according to recognition result and Commercial goods labels image.
Adopt SVM (Support Vector Machine, support vector machine) algorithm to carry out needing to obtain training sample set before word identification to Commercial goods labels image, the svm classifier device that adopts SVM Algorithm for Training sorter to obtain training according to training sample set.And utilize the sorter training to carry out word identification to Commercial goods labels image, specific as follows: the pre-service to Commercial goods labels image, image is carried out to denoising, then the character image obtaining is carried out to Character segmentation, and the image after adopting feature extracting method based on method vector weights to Character segmentation carries out feature extraction, obtain the proper vector of this Commercial goods labels image, according to proper vector, adopt the rear svm classifier device output of training recognition result.By word, identify the Word message that obtains Commercial goods labels, when follow-up formation quality inspection process, directly use, do not need by manually identifying Word message from Commercial goods labels image, this has ideally solved the defect existing in hand labor, has significantly improved the efficiency of quality inspection report generation again.
The present invention also provides a kind of automatic testing method that Commercial goods labels detects that is applied to, and comprising:
(1) items scanning bar code;
(2) inquiry tag storehouse, judges in tag library, whether there is this commodity bar code corresponding goods label image:
If exist, continue the next commodity bar code of scanning;
Otherwise, set the acquisition parameter that gunlock gathers Commercial goods labels image, and send acquisition instructions to gunlock, make gunlock gather Commercial goods labels image according to the acquisition parameter of setting, and the Commercial goods labels image collecting is added into tag library.
Described acquisition parameter comprises takes initial position, colourity, brightness, white balance.
Gunlock carries out Commercial goods labels image acquisition by following steps after receiving acquisition instructions:
(2-1) adjust position to taking initial position;
(2-2) utilize Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position;
(2-3) according to setting colourity, brightness, white balance, take, and the Commercial goods labels image of shooting is added into tag library.
By the acquisition parameter (comprise and take initial position, colourity, brightness, white balance) of automatic setting gunlock, realized the robotization of Commercial goods labels image acquisition, take the acquisition parameters such as initial position, colourity, brightness, white balance conventionally first by the artificial default value of setting, the acquisition parameter of setting while at every turn taking is above-mentioned default value.In actual acquisition process, also can regulate as required.During collection, first by The Cloud Terrace, the position of gunlock is adjusted to shooting initial position, then by Adaboost algorithm, automatically detect Commercial goods labels position, and by The Cloud Terrace, carry out orientation adjustment according to Commercial goods labels position, by camera lens, complete focusing, make gunlock focus on Commercial goods labels, then according to colourity, brightness, the white balance set, take, thereby obtain the Commercial goods labels image that this bar code is corresponding.Adopt Adaboost algorithm automatically to detect Commercial goods labels position and focus on the robotization that Commercial goods labels image acquisition process has been realized in this position, do not need manual intervention, improve detection efficiency, and realized by robotization, improved the quality of the Commercial goods labels image gathering.
In practical application, because may existing a plurality of labels or a label, commodity there is two sides, now need by repeatedly taking, each detailed process of taking is identical, but the image after each shooting does not directly deposit in tag library, but advanced row cache deposits tag library in after Commercial goods labels corresponding to this bar code all taken together.
While gathering Commercial goods labels image, monitoring gunlock gathers the process status information of Commercial goods labels image in real time, and the process status information monitoring is carried out to visual output.
Described automatic testing method also comprises that employing SVM algorithm carries out word identification to Commercial goods labels image, and forms corresponding quality inspection report according to word recognition result and Commercial goods labels image.
While conventionally forming quality inspection report, need to splice image synthesize, amplify, dwindle, cutting, brightness/chroma regulate, and then further combined with word recognition result, forms quality inspection report.
Automatic checkout system and the automatic testing method that is applied to Commercial goods labels detection of the present invention, by utilizing monitoring module to control gunlock, take Commercial goods labels image, and while taking, gunlock adopts Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position, realized the robotization of shooting process, complete and do not need manual intervention, greatly saved the time loss of taking because of artificial, and robotization is controlled, can realize standardization takes, the time loss of existence that has solved artificial shooting is long, the skimble-scamble problem of photographic images, significantly improved the efficiency of quality inspection report generation.
Accompanying drawing explanation
Fig. 1 is the structural drawing that is applied to the automatic checkout system of Commercial goods labels detection of the present invention;
Fig. 2 is the human-computer interaction interface of monitoring module.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
The automatic checkout system that is applied to Commercial goods labels detection of the present embodiment, as shown in Figure 1, comprising:
With the gunlock of The Cloud Terrace, for gathering Commercial goods labels image, when gathering Commercial goods labels image, adopt Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position;
Memory storage, the Commercial goods labels image collecting for storing gunlock, and form tag library;
Bar code scanner, for items scanning bar code;
Supervising device, gathers Commercial goods labels image for commodity bar code and the described gunlock of tag library control scanning according to bar code scanner:
If be to have the Commercial goods labels image corresponding with this bar code in tag library, continue the next commodity bar code of scanning;
Otherwise, set the acquisition parameter that gunlock gathers Commercial goods labels image, and control gunlock according to the acquisition parameter collection Commercial goods labels image of setting, and the Commercial goods labels image collecting is added into tag library.
Monitoring module also gathers the process status information of Commercial goods labels image for monitoring gunlock, and the process status information monitoring is carried out to visual output.Video window, focal length and the multiplying power of gunlock when this process status information comprises current shooting, and the position of gunlock.And after collecting Commercial goods labels image, monitoring module also adopts SVM algorithm to carry out word identification to Commercial goods labels image, and form corresponding quality inspection report according to recognition result and Commercial goods labels image.
In the present embodiment monitoring module also for Commercial goods labels image is spliced, synthesize, amplify, dwindle, the operation such as cutting, brightness/chroma adjusting, and provide certain synthetic template of splicing, can be according to existing masterplate splicing when splicing is synthetic, also can self-defined template, can also free splicing synthetic.
In the present embodiment, between memory storage and gunlock and monitoring module, by Ethernet, be connected.Monitoring module in the present invention is PC, is loaded with monitoring function software on this PC, and user completes the various functions of this monitoring module by controlling PC.Bar code scanner is connected on PC by USB interface.As shown in Figure 2, in the present embodiment, as shown in Figure 2, user completes according to this interactive interface the automatic detection function that Commercial goods labels detects to the human-computer interaction interface of monitoring module to the human-computer interaction interface of this monitoring module:
Real-Time Monitoring: show in real time the video image of the high definition gunlock video of work at present platform, can real time inspection current detection process in Commercial goods labels position and sharpness, make automation process visual, guarantee accuracy.
Capture and control, the bar code scanner of take sweeps commodity bar code as signal, starts whole candid photograph process.Need to set in advance automatic candid photograph pattern, comprise taking the setting of the acquisition parameters such as initial position, colourity, brightness, white balance.Choose after the candid photograph pattern for current label to be checked, automatically capture or manually capture.Take gained image and be temporary in this locality, enter image list, wait for next step processing.
In the present embodiment, adopt high definition gunlock, possess 1080P resolution, comprise video acquisition module, video processing module, video transmission module and power module, support 1080P high-definition image collection transmission.Wherein, the sensor board in video acquisition module adopts the IMX122CMOS video sensor chip of Sony Corporation, gathers and arrange vision signal, mutual by winding displacement and processor plate, and video signal transmission is encoded to processor plate.Video processing module processor plate is accepted the video data send from sensor, sends into the ISIF interface of TMS320DM8127, DM8127 to data encoding after, by gmii interface, send to network board.Processor plate is mainly comprised of modules such as TMS320DM8127, DDR3SDRAM, NAND FLASH, audio coder TLV320AIC23, motor-drive circuit, warning input and output, power supply, resets.Main algorithm comprises H.264 coding and decoding video algorithm, Intelligent Recognition algorithm etc.Network board in video transmission module, provides 1 10M/100M/1000M auto-negotiation RJ45 electricity mouthful, 2 SFP optical fiber ports, and core devices is 88E6161.The video transmission module of gunlock is comprised of Ethernet switching chip and peripheral components thereof, realizes the Internet Transmission of video data.
The course of work of the automatic checkout system that is applied to Commercial goods labels detection of the present embodiment is as follows:
(1) items scanning bar code;
(2) inquiry tag storehouse, judges in tag library, whether there is this commodity bar code corresponding goods label image:
If exist, continue the next commodity bar code of scanning;
Otherwise, set the acquisition parameter that gunlock gathers Commercial goods labels image, and send acquisition instructions to gunlock, make gunlock gather Commercial goods labels image according to the acquisition parameter of setting, and the Commercial goods labels image collecting is added into tag library.Wherein acquisition parameter comprises shooting initial position, colourity, brightness, white balance.
After gunlock receives acquisition instructions in step (2), by following steps, carry out Commercial goods labels image acquisition:
(2-1) adjust position to taking initial position;
(2-2) utilize Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position;
(2-3) according to setting colourity, brightness, white balance, take, and the Commercial goods labels image of shooting is added into tag library.
When gunlock gathers Commercial goods labels image, monitoring gunlock gathers the process status information of Commercial goods labels image in real time, and the process status information monitoring is carried out to visual output.User can as required, adjust acquisition parameter by monitoring module.
Collect after corresponding Commercial goods labels image, also adopt SVM algorithm to carry out word identification to Commercial goods labels image, and form corresponding quality inspection report according to word recognition result and Commercial goods labels image.
Disclosed is above only specific embodiments of the invention; but protection scope of the present invention is not limited to this; any those of ordinary skill in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention, within all should being encompassed in the protection domain of this practicality invention.
Claims (9)
1. be applied to the automatic checkout system that Commercial goods labels detects, it is characterized in that, comprising:
With the gunlock of The Cloud Terrace, for gathering Commercial goods labels image, when gathering Commercial goods labels image, adopt Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position;
Memory storage, the Commercial goods labels image collecting for storing gunlock, and form tag library;
Bar code scanner, for items scanning bar code;
Supervising device, gathers Commercial goods labels image for commodity bar code and the described gunlock of tag library control scanning according to bar code scanner:
If be to have the Commercial goods labels image corresponding with this bar code in tag library, continue the next commodity bar code of scanning;
Otherwise, set the acquisition parameter that gunlock gathers Commercial goods labels image, and control gunlock according to the acquisition parameter collection Commercial goods labels image of setting, and the Commercial goods labels image collecting is added into tag library.
2. be as claimed in claim 1ly applied to the automatic checkout system that Commercial goods labels detects, it is characterized in that, described monitoring module also gathers the process status information of Commercial goods labels image for monitoring gunlock, and the process status information monitoring is carried out to visual output.
3. the automatic checkout system that is applied to Commercial goods labels detection as claimed in claim 2, is characterized in that video image, focal length, the multiplying power of gunlock when described process status information comprises current shooting, and the position of gunlock.
4. as described in claim 1～3, be applied to the automatic checkout system that Commercial goods labels detects, it is characterized in that, described monitoring module is also for adopting SVM algorithm to carry out word identification to Commercial goods labels image, and forms corresponding quality inspection report according to recognition result and Commercial goods labels image.
5. be applied to the automatic testing method that Commercial goods labels detects, it is characterized in that, comprising:
(1) items scanning bar code;
(2) inquiry tag storehouse, judges in tag library, whether there is this commodity bar code corresponding goods label image:
If exist, continue the next commodity bar code of scanning;
Otherwise, set the acquisition parameter that gunlock gathers Commercial goods labels image, and send acquisition instructions to gunlock, make gunlock gather Commercial goods labels image according to the acquisition parameter of setting, and the Commercial goods labels image collecting is added into tag library.
6. the automatic testing method that is applied to Commercial goods labels detection as claimed in claim 5, is characterized in that, described acquisition parameter comprises takes initial position, colourity, brightness, white balance.
7. the automatic testing method that is applied to Commercial goods labels detection as claimed in claim 6, is characterized in that, gunlock carries out Commercial goods labels image acquisition by following steps after receiving acquisition instructions:
(2-1) adjust position to taking initial position;
(2-2) utilize Adaboost algorithm automatically to detect Commercial goods labels position and focus on this position;
(2-3) according to setting colourity, brightness, white balance, take, and the Commercial goods labels image of shooting is added into tag library.
8. be as claimed in claim 7ly applied to the automatic testing method that Commercial goods labels detects, it is characterized in that, while gathering Commercial goods labels image, real-time gunlock gathers the process status information of Commercial goods labels image, and the process status information monitoring is carried out to visual output.
9. the automatic testing method that is applied to Commercial goods labels detection as claimed in claim 8, is characterized in that, also comprises and adopts SVM algorithm to carry out word identification to Commercial goods labels image, and form corresponding quality inspection report according to word recognition result and Commercial goods labels image.
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| CN109190728A (en) * | 2018-08-15 | 2019-01-11 | 国网山东省电力公司莱芜供电公司 | A kind of power grid goods and materials quality inspection system |
| CN110367932A (en) * | 2019-07-11 | 2019-10-25 | 福州数据技术研究院有限公司 | Tongue based on Android handheld terminal and built-in terminal is as acquisition system and its method |
| CN110648382A (en) * | 2019-09-30 | 2020-01-03 | 北京百度网讯科技有限公司 | Image generation method and device |
| TWI709912B (en) * | 2019-11-06 | 2020-11-11 | 聯策科技股份有限公司 | Intelligent code reading positioning system and method |
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| CN103984967B (en) | 2016-12-07 |
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