CN109241798A - A kind of intelligent identifying system in driving - Google Patents
A kind of intelligent identifying system in driving Download PDFInfo
- Publication number
- CN109241798A CN109241798A CN201810989331.0A CN201810989331A CN109241798A CN 109241798 A CN109241798 A CN 109241798A CN 201810989331 A CN201810989331 A CN 201810989331A CN 109241798 A CN109241798 A CN 109241798A
- Authority
- CN
- China
- Prior art keywords
- code
- module
- image
- identifying system
- information
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/146—Methods for optical code recognition the method including quality enhancement steps
- G06K7/1478—Methods for optical code recognition the method including quality enhancement steps adapting the threshold for pixels in a CMOS or CCD pixel sensor for black and white recognition
Abstract
Intelligent identifying system in a kind of driving disclosed in this invention, image capture module are installed on the movable boom of row crane body, to acquire and identify the one-dimension code or two dimensional code on the cromogram and material below movable boom；Image format conversion module carries out the color of specific objective being converted into white pixel using the threshold value of setting specific objective, and remaining color is converted to black picture element；Target lock-on module generates the information for whether having personnel accidentally to swarm into using being differentiated in figure with the presence or absence of white pixel；Main control module, material size, the model size information obtained according to the information in collected one-dimension code or two dimensional code, and then distribute into corresponding empty goods yard, after carrying out picking according to distribution instruction activity boom movement, material row is hung in corresponding empty goods yard and executes goods putting；According to whether the information for having personnel accidentally to swarm into carries out whether judgement activity boom stops being displaced.It promotes automatic intelligent degree, and use is more safe and reliable, efficient.
Description
Technical field
A kind of intelligence the present invention relates to a kind of storage technique field of information-based, safe row crane system, in driving
It can identifying system.
Background technique
Driving system can be applied to logistic storage center, be container, the handling machinery equipment of the large size material such as raw material,
Also known as row is hung, and can be divided into the indoor common row used and be hung gantry crane with the portal frame form of outdoor application, pass through three axis
The reachable region of movement in any one position picking goods putting.
It is universal or in the control mode for continuing to use for the 80, nineties in existing driving technology, i.e., by operating case or
Remote controler manually controls the position of driving, and safety accident caused by maloperation, and people are easy to appear during picking goods putting
It is lower for control efficiency, long-time calibrating position is needed, and without effective convenient and fast information recording method formula, so just needing
The intelligent identifying system in a kind of driving is wanted to solve these problems.
Summary of the invention
A kind of promotion security performance and control effect designed the purpose of the present invention is to solve the deficiency of above-mentioned technology
Intelligent identifying system in a kind of driving of rate.
Intelligent identifying system in a kind of driving designed by the present invention, comprising:
Image capture module is installed on the movable boom of row crane body, to acquire and identify 24 below movable boom
Position real color bitmap and one-dimension code or two dimensional code on material；
Image format conversion module be converted into the color of specific objective using the threshold value of setting specific objective white
Color pixel, and remaining color is converted to black picture element, by 24 true color image binaryzations, then the image that binaryzation is later
Be converted to 256 color bitmaps；
Target lock-on module is differentiated and whether generate has personnel using whether there is white pixel in 256 color bitmaps
The information accidentally swarmed into；
Main control module, the material size obtained according to the information in collected one-dimension code or two dimensional code, model size letter
Breath, and then distribute into corresponding empty goods yard, after carrying out picking according to distribution instruction activity boom movement, material row is hung to correspondence
Empty goods yard in execute goods putting；According to whether the information for having personnel accidentally to swarm into carries out whether judgement activity boom stops automatic position
It moves.
Further preferably, main control module includes: to obtain coordinates of targets according to the position when searching white pixel, activity
Boom stops displacement action；When not searching white pixel, movable boom continues to act to the position displacement of preset direction.
Further preferably, further include security protection module, safe distance, movable boom and target are set according to direction of traffic
The distance between be less than safe distance when, row crane body brake gear starting innervate boom parking.
Further preferably, further include image filtering module, 256 color bitmaps being converted to are filtered removal and are made an uproar
Sound.
Further preferably, further include the identification module of one-dimension code or two dimensional code, be integrated in image capture module, in image
Middle search finds the higher region of pixel density to identify barcode position.
Further preferably, further include regular bar code area pre-determined bit module, be integrated in image capture module, in unit code word
Figure is arranged alternately in four four skies of level, the layer structure that vertical direction is presented, to be carried out with vertical boundary and horizontal boundary
Pre-determined bit.
Further preferably, further include irregular bar code area pre-determined bit module, be integrated in image capture module, utilize level
Rectangular area is extended to be accorded with comprising entire start-stop, and is searched for all satisfactions with vertical direction from horizontal direction and originated monochrome pixels ratio
The point of value, then again from these point concentrate select qualified point, with least square method fit starting character left side bearing and
Right side bearing writes down the terminus of left side bearing and right side bearing, the zone boundary point as starting character；Then look for the region of full stop
Boundary point is modified the boundary point of starting character and full stop according to linear correlation property, and bar code may finally be accurately positioned
Area.
Further preferably, further include the decoder module of one-dimension code or two dimensional code, bilateral scanning in length and breadth is carried out to image and is positioned
Bar code area recycles geometric transformation to refer to ranks then in effective coverage and the determination of the enterprising ranks cut-off rule of specific direction
Show that symbol image is mapped to a regular rectangle fastly, the structure feature for recombining PDF417 bar code obtains bar code line information,
It is partitioned into code word cell picture block again, and image is analyzed and divides and acquires code word, after finally being decoded to code word
Material code out obtains material size, model size information through material code.
Further preferably, further include code check module, be integrated in main control module, for inquiring material code
Verification.
Further preferably, further includes: memory module, for storing target position and bar code information；Be installed on garage entrance and
Material Sensor in each goods yard, for detecting whether material reaches in garage entrance and each goods yard whether have material.
Intelligent identifying system in a kind of driving of the invention, increases the safety protection function of operator, makes simultaneously
Information intelligent degree is improved using being simple and efficient with automatic operation control, and is made using more safe and reliable.
Detailed description of the invention
Fig. 1 is the overall structure diagram of embodiment 1；
Fig. 2 is the work flow diagram of embodiment 1；
Fig. 3 is the structural schematic diagram that this system is installed on the row crane body of embodiment 1.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
Embodiment 1:
As shown in Figure 1-Figure 3, the intelligent identifying system described in the present embodiment in a kind of driving, this system are mainly told about
Identification to operator carries out identifying processing to specific objective, in identification process, operator is according to requiring to take yellow
Safety cap carries out centralized management to container and material color and is distinguish, we are with yellow to improve the accuracy of identification
Include: to identify target, specific system structure for citing feature
Image capture module 2 is installed on the movable boom 91 of row crane body 9, to acquire and identify below movable boom
24 real color bitmaps and one-dimension code or two dimensional code on material；Wherein, image capture module using camera and and its
Matched image pick-up card (PCI slot) develops software by Image Acquisition and carries out secondary development, by acquired image in master
It controls and is shown on the computer of module, can save the image for handling at any time, and mould can monitored using the control called
The image that monitoring collection arrives in block；The operation of row crane body is control cabinet manipulation operation, and control cabinet is by PLC, frequency converter, low pressure
The mechanisms such as electrical component are constituted.
Image format conversion module 3 be converted into the color of specific objective using the threshold value of setting specific objective
White pixel, and remaining color is converted to black picture element, by 24 true color image binaryzations, then the figure that binaryzation is later
As being converted to 256 color bitmaps；During 24 true color image binaryzations, 24 true color images are by tri- points of R, G, B
The purpose of amount composition, given threshold is to convert yellow to white, and every other color conversion is black, this will be according to image tune
The range of R, G, B value is saved, until yellow is completely converted into white, other are black；The later image of binaryzation is converted to 256
Color bitmap, specific conversion process method are as follows: the array that a newly-built length is 4096 represents 4096 kinds of colors, to every in figure
One pixel takes highest 4 of RGB, is combined into 12 integers, and corresponding array element adds 1.To each picture of piece image
Plain color is counted, and the frequency of use of this 4096 kinds of colors has just been obtained.Wherein, some colors also may not occur once,
Corresponding array element is just 0.These are cleared out for 0 array element, so that preceding N (N≤4096) a element is not
This N number of number is arranged (bubble sort) by sequence from big to small by 0..In this way, preceding 256 kinds of colors are exactly color with the most use,
As 256 kinds of colors on palette.For remaining N-256 kind color it is not that letter abandons with answering, but with preceding 256 kinds of face
One of color replaces, instead of principle be look for that for having least squares error.Again to each of figure pixel, take
R, the highest of G, B 4 is combined into 12 integers, if respective value directly fills out the index value in preceding 256 kinds of colors
Enter in bitmap data, if it is in rear N-256 kind color, is then inserted in bitmap data with instead of the index value of color；
Target lock-on module 4 is differentiated and whether generate has personnel using whether there is white pixel in 256 color bitmaps
The information accidentally swarmed into；Wherein, it chooses yellow safety cap and is characterized in the image for a little judging acquisition whether have white pixel, white point
As safety cap coordinate.Specific practice is scanned to above-mentioned image, and the column and row are preserved, and correspondence obtains
The coordinate (X, Y) otherwise illustrates target not within sweep of the eye；
Main control module 1, the material size obtained according to the information in collected one-dimension code or two dimensional code, model size letter
Breath, and then distribute into corresponding empty goods yard, after carrying out picking according to distribution instruction activity boom movement, material row is hung to correspondence
Empty goods yard in execute goods putting；According to whether the information for having personnel accidentally to swarm into carries out whether judgement activity boom stops automatic position
It moves；Wherein it is mainly used for digital image acquisition and processing in main control module, is issued to target decoder, identification and to control module
Dispatch command.
In the present embodiment, main control module 1 includes: to obtain coordinates of targets according to the position when searching white pixel, activity
Boom stops displacement action；When not searching white pixel, movable boom continues to act to the position displacement of preset direction.It is
The safer of personnel is accidentally rushed below guarantee activity boom, so that using more convenient reliable.
Further include security protection module 5 in the present embodiment, safe distance, movable boom and mesh are set according to direction of traffic
When the distance between mark is less than safe distance, the brake gear of row crane body starts the boom parking that innervates.Its target-recognition
It is correctly to be differentiated under motion conditions to target, according to the walking direction of driving operation whether in safe range, to reach
The function of stopping to safeguard protection, we set safe distance and are consistently greater than 10 meters in the process, and when this value is broken, driving is opened
Begin to brake, the safe distance with 3-5 meters of target is also able to maintain after the completion of brake, at this moment we need to debug, and accidentally rush personnel
After leaving place and pressing ACK button, driving continue to execute before task.In the case where considering shake factor, I
Can increase in practical applications the early warning value of safe distance, once reaching safe distance early warning value, triggering parking at once is dynamic
Make.
Further include image filtering module 6 in the present embodiment, 256 color bitmaps being converted to are filtered removal
Noise.Noise leads to the case where judging by accident in color image in order to prevent for it, and for digital picture, closer point is put from certain
Influence to the point should be bigger, for this purpose, introducing the algorithm of weighting coefficientIt is filtered, it can be more
Good recognizes target.
In the present embodiment, further includes the identification module 21 of one-dimension code or two dimensional code, be integrated in image capture module, scheming
Search finds the higher region of pixel density to identify barcode position as in.It can carry out fast search in big digital picture
To one-dimension code or the image of two dimensional code, the recognition efficiency of search is improved.
In the present embodiment, the committed step that a suitable position is identification is navigated to, accurately reading can be improved in positioning
The efficiency taken, is accurately partitioned into code word unit figure, we define one or several garage entrances in each reservoir area, we are reading code area
Domain is placed on garage entrance and tests reading code height, can start the system for testing us after adjusting suitable positioning,
Hopper is placed on fork truck the position of garage entrance, there is the bar code posted in advance in hopper top surface, we are according to the altitude location of hopper
Start to capture image to the position of suitable reading code, should be noted that the digital picture big to a width carries out positioning width and search this when
It takes time very much, especially for the big digital picture of background, if effectively bar code area is smaller, but to carry out full figure positioning and search
Rope can be substantially reduced recognition speed, joined regular bar code area for us and be pre-positioned module and irregular bar code area pre-determined bit module
It is main using finger URL search range is reduced to promote bar code area locating speed, it is scanned in small range, concrete operations
It is as follows:
Regular bar code area is pre-positioned module 22, is integrated in image capture module, is in level four in unit code word figure
Four skies are arranged alternately, the layer structure that vertical direction is presented, to be pre-positioned with vertical boundary and horizontal boundary；
Irregular bar code area is pre-positioned module 23, is integrated in image capture module, is extended to using horizontal rectangular region
It is accorded with comprising entire start-stop, and searches for all points for meeting starting monochrome pixels ratio with vertical direction from horizontal direction, then again
It is concentrated from these points and selects qualified point, the left side bearing and right side bearing of starting character are fitted with least square method, writes down a left side
The terminus in sideline and right side bearing, the zone boundary point as starting character；The zone boundary point for then looking for full stop, according to straight
Line relevant nature is modified the boundary point of starting character and full stop, and bar code area may finally be accurately positioned；Irregular bar code
Area's pre-determined bit module is used primarily in hopper fixed-direction, our image will always will not rotate during placement, together
When the case where assuming that the position pasted of bar code irregularly also results in the deformation of bar code, being no longer a horizontal rectangular patterns
Under.
It further include the decoder module 24 of one-dimension code or two dimensional code in the present embodiment, it is fixed to carry out bilateral scanning in length and breadth to image
Position bar code area recycles geometric transformation by ranks then in effective coverage and the determination of the enterprising ranks cut-off rule of specific direction
Indicator chart picture is mapped to a regular rectangle fastly, and the structure feature for recombining PDF417 bar code show that bar code ranks are believed
Breath, then it is partitioned into code word cell picture block, and analyzed image and divide and acquire code word, after finally being decoded to code word
It obtains material code, obtains material size, model size information through material code.It is directed to N/D bar code or defect bar code,
Perfect quickly decoding can be carried out after image binaryzation, promote decoded efficiency.
We determined that column split line after finding bar code area, then determination is obtained, analyzed and is worth to code word unit figure.Most
Afterwards, we decode code word, and decoding is divided into text decoding, digit translation, byte decoding, and the information obtained in this way is for I
The material code that needs.
In the present embodiment, further include code check module 11, be integrated in main control module, for looking into material code
Ask verification.Its accuracy in order to ensure reading code and set.
It further include memory module 7, for storing target position and bar code information in the present embodiment.
Overall workflow in this system:
1, intelligent travelling crane carries out System self-test, sends OK state after the completion to computer, into standby mode；
2, material enters garage entrance by fork truck, and sensor detects material, and driving, which is sent, has material signal to computer,
Check whether warehouse compartment expires the states such as position after calculating machine check warehouse compartment information, transmission allows order to intelligent travelling crane；
3 intelligent travelling cranes, which are gone to, takes material 8, has detected whether that personnel accidentally swarm into the process；
4, reach garage entrance and start bar code above positioning and barcode scanning material, parsing sends information to computer；
5 computers inquire material size, type equidimension according to the information received, are then assigned to specified goods to empty goods yard
Position；
6, intelligent travelling crane receives picking after order and executes goods putting, has detected whether that personnel accidentally swarm into the process；
7, completion task simultaneously returns to standby position.
This system realizes safety detection, convenient reading code and the reliable traffic control when operation, so that information intelligent
Change degree greatly improves, so that more safe and efficient during industrial operation.
The present invention is not limited to above-mentioned preferred forms, anyone can show that other are various under the inspiration of the present invention
The product of form, however, make any variation in its shape or structure, it is all that there is skill identical or similar to the present application
Art scheme, is within the scope of the present invention.
Claims (10)
1. the intelligent identifying system in a kind of driving characterized by comprising
Image capture module is installed on the movable boom of row crane body, with acquire and identify 24 below movable boom it is true
One-dimension code or two dimensional code on Color Bitmap and material；
Image format conversion module carries out the color of specific objective being converted into white picture using the threshold value of setting specific objective
Element, and remaining color is converted to black picture element, converts by 24 true color image binaryzations, then by the later image of binaryzation
For 256 color bitmaps；
Target lock-on module is differentiated and whether generate has personnel accidentally to rush using whether there is white pixel in 256 color bitmaps
The information entered；
Main control module, the material size obtained according to the information in collected one-dimension code or two dimensional code, model size information, into
And distribute into corresponding empty goods yard, after carrying out picking according to distribution instruction activity boom movement, material row is hung to corresponding sky
Goods putting is executed in goods yard；According to whether the information for having personnel accidentally to swarm into carries out whether judgement activity boom stops automatic displacement.
2. the intelligent identifying system in a kind of driving according to claim 1, which is characterized in that main control module includes:
When searching white pixel, coordinates of targets is obtained according to the position, movable boom stop position is mobile to be made；
When not searching white pixel, movable boom continues to act to the position displacement of preset direction.
3. the intelligent identifying system in a kind of driving according to claim 2, which is characterized in that further include safeguard protection mould
Block sets safe distance according to direction of traffic, when the distance between movable boom and target are less than safe distance, row crane body
Brake gear starts the boom parking that innervates.
4. the intelligent identifying system in a kind of driving according to claim 1, which is characterized in that further include image filtering mould
256 color bitmaps being converted to are filtered removal noise by block.
5. the intelligent identifying system in a kind of driving according to claim 1, which is characterized in that further include one-dimension code or two
The identification module for tieing up code, is integrated in image capture module, and search finds the higher region of pixel density to identify in the picture
Barcode position.
6. the intelligent identifying system in a kind of driving according to claim 5, which is characterized in that further include regular bar code area
It is pre-positioned module, is integrated in image capture module, is in four four skies of level in unit code word figure and is arranged alternately, vertical direction
The layer structure of presentation, to be pre-positioned with vertical boundary and horizontal boundary.
7. the intelligent identifying system in a kind of driving according to claim 5, which is characterized in that further include irregular bar code
Area is pre-positioned module, is integrated in image capture module, is extended to using horizontal rectangular region and is accorded with comprising entire start-stop, and from water
Square all points for meeting starting monochrome pixels ratios are searched for vertical direction, is then concentrated again from these points and select and meet item
The point of part fits the left side bearing and right side bearing of starting character with least square method, writes down the terminus of left side bearing and right side bearing, makees
For the zone boundary point of starting character；The zone boundary point for then looking for full stop, according to linear correlation property, to starting character and end
The boundary point only accorded with is modified, and bar code area may finally be accurately positioned.
8. the intelligent identifying system in a kind of driving according to claim 5, which is characterized in that further include one-dimension code or two
The decoder module for tieing up code, is integrated in image capture module, carries out bilateral scanning in length and breadth to image and positions bar code area, is then having
It imitates in region and ranks indicator chart picture is mapped to by the determination of the enterprising ranks cut-off rule of specific direction, recycling geometric transformation fastly
One regular rectangle, the structure feature for recombining PDF417 bar code obtains bar code line information, then is partitioned into code word unit
Image block, and image is analyzed and divides and acquires code word, material code is obtained after finally decoding to code word, through material
Code obtains material size, model size information.
9. the intelligent identifying system in a kind of driving according to claim 8, which is characterized in that further include code check mould
Block is integrated in main control module, for carrying out inquiry verification to material code.
10. the intelligent identifying system in a kind of driving according to claim 1, which is characterized in that further include: storage mould
Block, for storing target position and bar code information；The Material Sensor being installed in garage entrance and each goods yard, for detecting material
Whether whether reach in garage entrance and each goods yard has material.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810989331.0A CN109241798A (en) | 2018-08-28 | 2018-08-28 | A kind of intelligent identifying system in driving |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810989331.0A CN109241798A (en) | 2018-08-28 | 2018-08-28 | A kind of intelligent identifying system in driving |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109241798A true CN109241798A (en) | 2019-01-18 |
Family
ID=65068824
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810989331.0A Pending CN109241798A (en) | 2018-08-28 | 2018-08-28 | A kind of intelligent identifying system in driving |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109241798A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112364861A (en) * | 2020-11-18 | 2021-02-12 | 华晨宝马汽车有限公司 | Method and device for automatically identifying box label number of consignment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184378A (en) * | 2011-04-27 | 2011-09-14 | 茂名职业技术学院 | Method for cutting portable data file (PDF) 417 standard two-dimensional bar code image |
| US20130041610A1 (en) * | 2011-08-10 | 2013-02-14 | Texas Instruments Incorporated | Navigation assistance based on visual codes |
| CN104494598A (en) * | 2014-11-23 | 2015-04-08 | 北京联合大学 | Road-crossing driving control method for intelligent vehicles |
| CN105858046A (en) * | 2016-06-06 | 2016-08-17 | 惠州市普源宏业科技有限公司 | Intelligent crane type warehousing system |
| CN106241631A (en) * | 2016-08-30 | 2016-12-21 | 苏州安控物联网科技有限公司 | Tower crane Hoisting Security control system |
| CN206858010U (en) * | 2017-06-02 | 2018-01-09 | 福建惠安南山文化创意有限公司 | A kind of building crane |
| CN207158633U (en) * | 2017-09-13 | 2018-03-30 | 广州港集团有限公司 | A kind of container intelligence lifting device of port gantry crane |
| CN107911655A (en) * | 2017-11-17 | 2018-04-13 | 江苏艾思博信息技术有限公司 | Intelligence handling based on AR perform method and system |
-
2018
- 2018-08-28 CN CN201810989331.0A patent/CN109241798A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184378A (en) * | 2011-04-27 | 2011-09-14 | 茂名职业技术学院 | Method for cutting portable data file (PDF) 417 standard two-dimensional bar code image |
| US20130041610A1 (en) * | 2011-08-10 | 2013-02-14 | Texas Instruments Incorporated | Navigation assistance based on visual codes |
| CN104494598A (en) * | 2014-11-23 | 2015-04-08 | 北京联合大学 | Road-crossing driving control method for intelligent vehicles |
| CN105858046A (en) * | 2016-06-06 | 2016-08-17 | 惠州市普源宏业科技有限公司 | Intelligent crane type warehousing system |
| CN106241631A (en) * | 2016-08-30 | 2016-12-21 | 苏州安控物联网科技有限公司 | Tower crane Hoisting Security control system |
| CN206858010U (en) * | 2017-06-02 | 2018-01-09 | 福建惠安南山文化创意有限公司 | A kind of building crane |
| CN207158633U (en) * | 2017-09-13 | 2018-03-30 | 广州港集团有限公司 | A kind of container intelligence lifting device of port gantry crane |
| CN107911655A (en) * | 2017-11-17 | 2018-04-13 | 江苏艾思博信息技术有限公司 | Intelligence handling based on AR perform method and system |
Non-Patent Citations (1)
| Title |
|---|
| 冯国臣等: "基于机器视觉的安全帽自动识别技术研究", 《机械设计与制造工程》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112364861A (en) * | 2020-11-18 | 2021-02-12 | 华晨宝马汽车有限公司 | Method and device for automatically identifying box label number of consignment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102206662B1 (en) | Vision camera system to manage an entrance and exit management of vehicles and to recognize objects of camera video data in a port container terminal and method thereof | |
| CN100456314C (en) | QR two-dimensional bar code recognition method based on pickup head for chatting | |
| CN102722704B (en) | Method and system for recognizing vehicle license plate by integrating video dynamic tracking | |
| CN101692313A (en) | Portable vehicle recognition device base on embedded platform | |
| CN106203239B (en) | Information processing method, device and system for container tallying | |
| CN110443243B (en) | Water level monitoring method, storage medium, network device and water level monitoring system | |
| CN104331697B (en) | A kind of localization method of area-of-interest | |
| CN102708691B (en) | False license plate identification method based on matching between license plate and automobile type | |
| CN107578012B (en) | Driving assistance system for selecting sensitive area based on clustering algorithm | |
| CN103778786A (en) | Traffic violation detection method based on significant vehicle part model | |
| KR102206658B1 (en) | Vision camera system to be communicated with Terminal Operating System through middleware in a port container terminal and method thereof | |
| CN103971087B (en) | Method and device for searching and recognizing traffic signs in real time | |
| CN114241298A (en) | Tower crane environment target detection method and system based on laser radar and image fusion | |
| CN107220577A (en) | A kind of Quick Response Code localization method and system based on machine learning | |
| CN102024148A (en) | Method for identifying green mark of taxi | |
| CN105404867A (en) | Vision-based substation disconnecting switch status recognition method | |
| CN101715111A (en) | Method for automatically searching abandoned object in video monitoring | |
| CN110245544A (en) | A kind of method and device of determining dead ship condition | |
| CN106991821A (en) | Vehicles peccancy hand-held mobile terminal data collecting system | |
| CN108090459A (en) | A kind of road traffic sign detection recognition methods suitable for vehicle-mounted vision system | |
| CN111126529B (en) | Barrel-turning data acquisition method and device, electronic equipment and garbage truck | |
| CN109241798A (en) | A kind of intelligent identifying system in driving | |
| CN110135470A (en) | A kind of vehicle characteristics emerging system based on multi-modal vehicle feature recognition | |
| CN109977714A (en) | A kind of integrated vision positioning method of the more QR codes of warehoused cargo | |
| CN109086781A (en) | A kind of cabinet lamp state identification method based on deep learning |
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 | ||
| AD01 | Patent right deemed abandoned | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20220902 |