CN109242843A - A kind of container surface image and container number image-pickup method - Google Patents

A kind of container surface image and container number image-pickup method Download PDF

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CN109242843A
CN109242843A CN201811024879.8A CN201811024879A CN109242843A CN 109242843 A CN109242843 A CN 109242843A CN 201811024879 A CN201811024879 A CN 201811024879A CN 109242843 A CN109242843 A CN 109242843A
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container
video camera
infrared emission
emission sensor
image
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CN109242843B (en
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张向辉
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SHENZHEN PINGFANG SCIENCE & TECHNOLOGY Co Ltd
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SHENZHEN PINGFANG SCIENCE & TECHNOLOGY Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/63Scene text, e.g. street names
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30236Traffic on road, railway or crossing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention discloses a kind of container surface image and container number image-pickup methods, comprising: step 1: when container enters S4 from S3, C1, C2 capture container representation;Step 2: when container enters S5 from S4, C4, C5 and C6 capture container representation, and judge the state of S1;Step 3: according to the judgement in step 2 to the state of S1, if S1 is not blocked by container, when the tail end of container enters S2 from S1, C1, C2, C3 capture the first container representation;If S1 is blocked by container, step 4 and step 5 are carried out.The present invention can completely acquire the surface image of container, it can accurately judge container with the presence or absence of damaged and damaged type, it being capable of automatic identification container number, it is applicable in a variety of common type containers, it is high-efficient without parking in collection process, it is not easily susceptible to external factor interference, high degree of automation, safety coefficient are high.

Description

A kind of container surface image and container number image-pickup method
Technical field
The present invention relates to the image acquisition technologies of container, specifically, being to be related to a kind of container surface image And container number image-pickup method.
Background technique
A whole set of transportation system container maximum standardization for being successfully its product and thus established.It can allow One tens tons of load-carrying of huge monster realizes standardization, and be done step-by-step in global range based on this ship, port The logistics system that mouth, course line, highway, terminal, bridge, tunnel, multimodal transport match, this can be rated as since the dawn of human civilization really One of great miracle of creation.
China is the first manufacture big country of container in the world at present, and creates three worlds the in this production field One.China's container annual production capacity is up to 5,800,000 TEU(standard packing boxes), it ranks first in the world;Produce the specification kind world of container First, China's container production is from dry cargo container to regular general cargo container and special container, box-type carrier vehicle, rule Lattice kind up to more than 900, is able to satisfy various transportation demands;Container car sales volume the first in the world, world container volume of production and marketing are 3920000 TEU, wherein container car sales volume in China's is up to 3,740,000 TEU.
The use of cargo transport highly developed today at sea, container are customary, corresponding container Examine work also very universal.The purpose of Container Survey essentially consists in the safe handling of determining container, avoids and prevent goods The generation of damage.
But the acquisition of the container representation of the prior art has the disadvantage in that the case number (CN) of container representation and container is adopted Collect low efficiency, detection of stopping is needed in cargo transport, is unable to continuous productive process, working efficiency is not high, in addition in collection process by It will appear omission in the certain factors of operator, acquisition is not comprehensive, since container model difference needs replacing different acquisition sides Method and acquisition equipment, inconvenience seriously affect the development of Container Transport.
Summary of the invention
In order to overcome the shortcomings of existing technology, the present invention provides a kind of container surface image and container number image Acquisition method.
Technical solution of the present invention is as described below:
A kind of container surface image and container number image-pickup method, which is characterized in that include the following steps,
Step 1: container drives into acquisition channel, while blocking infrared emission sensor S1, infrared emission sensor S2 and red Outer opposite type sensor S3, when container enters infrared emission sensor S4 from infrared emission sensor S3, video camera C1, camera shooting Machine C2 captures container representation;
Step 2: when container enters infrared emission sensor S5 from infrared emission sensor S4, container blocks infrared emission Sensor S2, infrared emission sensor S3 and infrared emission sensor S4, video camera C4, video camera C5 and video camera C6 are grabbed Container representation is clapped, and the state of infrared emission sensor S1 is judged;
Step 3: according to the judgement in step 2 to the state of infrared emission sensor S1, if infrared emission sensor S1 is not collected Vanning is blocked, then container is the first container, and the tail end of the first container enters infrared from infrared emission sensor S1 at this time When opposite type sensor S2, video camera C1, video camera C2, video camera C3 capture the first container representation;
If infrared emission sensor S1 is blocked by container, container is the second container, then carries out step 4;
Step 4: when the second container enters infrared emission sensor S6 from infrared emission sensor S5, video camera C1, camera shooting Machine C2 captures the second container representation;
Step 5: according to step 4, when the tail end of the second container enters infrared emission sensor S2 from infrared emission sensor S1, Video camera C1, video camera C2, video camera C3, video camera C5, video camera C6 capture the second container representation.
Further, the video camera C1 and video camera C2: being respectively arranged on the left and right sides of the acquisition channel, For shooting top and the left and right sides image of the container;
The video camera C3: set on the tail end of the acquisition channel, for shooting the posterior images of the container;
The video camera C4: set on the front end of the acquisition channel, for shooting the front image of the container;
The video camera C5 and video camera C6: it is respectively arranged on the left and right sides of the acquisition channel, for shooting packaging The case number (CN) image of case left and right side;
Wherein the image of the video camera C1 and video camera C2 shooting completely covers that container is left and right and top graph Picture is mainly used for judging container with the presence or absence of damaged and damaged type;
The image of the video camera C3 and video camera C4 shooting completely covers the forward and backward image of container, is mainly used for Judge to whether there is damaged and damaged type before and after container;
The image of the video camera C5 and video camera C6 shooting covers the case number (CN) part of container, is mainly used for packaging The automatic identification of case number (CN) code.
Further, the mounting height of the video camera C1 and the video camera C2 are and the institute for 5500-6000mm The visual field width for stating video camera C1 and the video camera C2 is for 4500-5000mm.
Further, the mounting height of the video camera C3 and the video camera C4 are 4700-5200mm.
Further, the mounting height of the video camera C5 and the video camera C6 are 3300-3800mm.
Further, the infrared emission sensor S1, the infrared emission sensor S2, the infrared emission sensor S3, the infrared emission sensor S4, the infrared emission sensor S5 and the infrared emission sensor S6 are arranged successively Distribution setting, and the infrared emission sensor S2, the infrared emission sensor S3, the infrared emission sensor S4, institute Stating the infrared emission sensor S5 and infrared emission sensor S6 is equidistant arrangement distribution setting.
Further, the spacing between the infrared emission sensor S1 and the infrared emission sensor S2 is 2000mm, the distance between the infrared emission sensor S2 and the infrared emission sensor S3 are 1900mm.
Further, the tail end and the infrared emission sensor S6 of infrared emission sensor S1 and the acquisition channel Certain distance is kept with the front end of the acquisition channel.
Further, the tail end and the infrared emission of the infrared emission sensor S1 and the acquisition channel sense The distance between the front end of device S6 and the acquisition channel is 1500mm.
Further, the container includes first container and second container, first packaging Case is 20 forty equivalent unit 40s, and second container is double 20 forty equivalent unit 40s or is 40 forty equivalent unit 40s or is 45 feet Container is 48 forty equivalent unit 40s or be 53 forty equivalent unit 40s.
According to the present invention of above scheme, the beneficial effect is that, the present invention can completely acquire the exterior view of container Picture, can accurately judge container with the presence or absence of damaged and damaged type, can automatic identification container number, be applicable in model It encloses extensively, 20 forty equivalent unit 40s, double 20 forty equivalent unit 40s, 40 forty equivalent unit 40s, 45 forty equivalent unit 40s, 48 feet of packagings can be acquired Case, 53 forty equivalent unit 40s, and without parking in collection process, it is high-efficient, it is not easily susceptible to external factor interference, automates journey Degree is high, and safety coefficient is high.
Detailed description of the invention
Fig. 1 is the schematic diagram of 20 forty equivalent unit 40s in the present invention.
Fig. 2 is the schematic diagram of double 20 forty equivalent unit 40s in the present invention.
Fig. 3 is the schematic diagram of 40 forty equivalent unit 40s in the present invention.
Fig. 4 is infrared emission sensor and video camera mounting height position view in the present invention.
Fig. 5 is the top view of infrared emission sensor and camera installation locations in the present invention.
Fig. 6 is the Image Acquisition schematic diagram of 20 forty equivalent unit 40s in the present invention.
Fig. 7 is the Image Acquisition schematic diagram of double 20 forty equivalent unit 40s in the present invention.
Fig. 8 is the Image Acquisition schematic diagram of 40 forty equivalent unit 40s in the present invention.
C1, video camera C1 in the figure;C2, video camera C2;C3, video camera C3;C4, video camera C4;C5, video camera C5; C6, video camera C6;S1, infrared emission sensor S1;S2, infrared emission sensor S2;S3, infrared emission sensor S3;It is S4, red Outer opposite type sensor S4;S5, infrared emission sensor S5;S6, infrared emission sensor S6.
Specific embodiment
With reference to the accompanying drawing and the present invention is further described in embodiment:
As shown in figures 1-8, a kind of container surface image and container number image-pickup method, include the following steps,
Step 1: container drives into acquisition channel, while blocking infrared emission sensor S1, infrared emission sensor S2 and red Outer opposite type sensor S3, when container enters infrared emission sensor S4 from infrared emission sensor S3, video camera C1, camera shooting Machine C2 captures container representation;
Step 2: when container enters infrared emission sensor S5 from infrared emission sensor S4, container blocks infrared emission Sensor S2, infrared emission sensor S3 and infrared emission sensor S4, video camera C4, video camera C5 and video camera C6 are grabbed Container representation is clapped, and the state of infrared emission sensor S1 is judged;
Step 3: according to the judgement in step 2 to the state of infrared emission sensor S1, if infrared emission sensor S1 is not collected Vanning is blocked, then container is the first container, and the tail end of the first container enters infrared from infrared emission sensor S1 at this time When opposite type sensor S2, video camera C1, video camera C2, video camera C3 capture the first container representation;
If infrared emission sensor S1 is blocked by container, container is the second container, then carries out step 4;
Step 4: when the second container enters infrared emission sensor S6 from infrared emission sensor S5, video camera C1, camera shooting Machine C2 captures the second container representation;
Step 5: according to step 4, when the tail end of the second container enters infrared emission sensor S2 from infrared emission sensor S1, Video camera C1, video camera C2, video camera C3, video camera C5, video camera C6 capture the second container representation.
Container includes the first container and the second container, and the first container is 20 forty equivalent unit 40s, the second packaging Case be double 20 forty equivalent unit 40s or be 40 forty equivalent unit 40s or be 45 forty equivalent unit 40s or be 48 forty equivalent unit 40s or For 53 forty equivalent unit 40s.
Wherein, video camera C1 and video camera C2: it is respectively arranged on the left and right sides of acquisition channel, for shooting container Top and left and right sides image;
Video camera C3: set on the tail end of acquisition channel, for shooting the posterior images of container;
Video camera C4: set on the front end of acquisition channel, for shooting the front image of container;
Video camera C5 and video camera C6: being respectively arranged on the left and right sides of acquisition channel, for shooting container left and right side Case number (CN) image, video camera C5 are set to infrared emission sensor S4 to the section infrared emission sensor S5, and video camera C6 is set to infrared Opposite type sensor S2 is to the section infrared emission sensor S3;
The image of video camera C1 and video camera C2 shooting completely covers that container is left and right and top image, is mainly used for Judge container with the presence or absence of breakage;
The image of video camera C3 and video camera C4 shooting completely covers the forward and backward image of container, is mainly used for judging packaging Case is with the presence or absence of damaged and container number automatic identification;
The image of video camera C5 and video camera C6 shooting covers the case number (CN) part of container, is mainly used for container number Automatic identification.
Preferably, in a certain specific embodiment, the mounting height of video camera C1 and video camera C2 are for 5500- 6000mm, and the visual field width of video camera C1 and video camera C2 is for 4500-5000mm.
Preferably, in a certain specific embodiment, the mounting height of video camera C3 and video camera C4 are 4700- 5200mm。
Preferably, in a certain specific embodiment, the mounting height of video camera C5 and video camera C6 are 3300- 3800mm。
Infrared emission sensor S1, infrared emission sensor S2, infrared emission sensor S3, infrared emission sensor S4, Infrared emission sensor S5 and infrared emission sensor S6 is arranged successively distribution setting, and infrared emission sensor S2, infrared Opposite type sensor S3, infrared emission sensor S4, infrared emission sensor S5 and infrared emission sensor S6 are equidistant arrangement Distribution setting.
Preferably, in a certain specific embodiment, between infrared emission sensor S1 and infrared emission sensor S2 between Away from for 2000mm, the distance between infrared emission sensor S2 and infrared emission sensor S3 are 1900mm.
The front end of the tail end and infrared emission sensor S6 and acquisition channel of infrared emission sensor S1 and acquisition channel Keep certain distance.
Preferably, in a certain specific embodiment, the tail end of infrared emission sensor S1 and acquisition channel and infrared right The distance between the front end for penetrating sensor S6 and acquisition channel is 1500mm.
Preferably, in a certain specific embodiment, video camera C1 and video camera C2 bilateral symmetry distribution setting, and image Machine C1 and video camera C2 are set on the vertical line of the position infrared emission sensor S3.
The present invention can completely acquire the surface image of container, can accurately judge container with the presence or absence of damaged and Damaged type, can automatic identification container number, it is applied widely, 20 forty equivalent unit 40s, double 20 feet of collection can be acquired Vanning, 40 forty equivalent unit 40s, 45 forty equivalent unit 40s, 48 forty equivalent unit 40s, 53 forty equivalent unit 40s, and be not necessarily in collection process Parking, it is high-efficient, it is not easily susceptible to external factor interference, high degree of automation, safety coefficient height.
Present invention is mainly applied to the acquisitions of the container in the fields such as container hargour, harbour, logistics center, special supervision zone Channel, when container-trailer is by acquisition channel, the present invention being capable of automatic collection container front, rear, left and right, 5, top case The image in face can satisfy 20 forty equivalent unit 40s, double 20 forty equivalent unit 40s, 40 forty equivalent unit 40s, 45 forty equivalent unit 40s, 48 feet The automatic collection of each model container collection surface image such as container, 53 forty equivalent unit 40s, image acquisition process is in vehicle row Into completing to be not necessarily to stop in the process, the present invention acquires 8 photos in 20 forty equivalent unit 40 automatic collection altogether;At double 20 feet When container, 40 forty equivalent unit 40s, 45 forty equivalent unit 40s, 48 forty equivalent unit 40s, 53 forty equivalent unit 40 automatic collection, 12 are acquired altogether Open photo.The container surface that the image of 5 container front, rear, left and right, top case faces of the invention can be covered completely is used In judge container with the presence or absence of breakage;It acquires image emphasis and covers container number part, know automatically for container number Not.
The container type of mainstream is 20 forty equivalent unit 40s, double 20 forty equivalent unit 40s, 40 forty equivalent unit 40s, 45 feet at present Container, 48 forty equivalent unit 40s, 53 forty equivalent unit 40s, the face of container front, rear, left and right 4 are all printed with container number, often A TEU (Twenty-foot Equivalent Unit) has globally unique number, and container number is located at the upper right side in each face in front, rear, left and right;
Wherein, 20 feet of corresponding 6096mm(6.096 meters of length), 40 feet of corresponding 12192mm(12.192 meters of length);
The common height of container in 2600mm between 2900mm, container-trailer bracket height 1100mm to 1600mm it Between, container in bracket upper top apart from pavement-height in 3700mm between 4500mm;
Between infrared emission sensor mounting distance pavement-height 3300 to 3800, it can be ensured that packaging when container-trailer passes through Case can block infrared emission sensor, while be not easy to be interfered by headstock or other external factor;
Video camera C1, video camera C2 are for shooting container top and left and right sides image mounting height 5500mm to 6000mm Between, it is ensured that the visual field can cover container top and side, video camera C3, visual field width 4500mm takes the photograph between 5000mm Camera C4 is installed at the top of acquisition channel, for shooting container front-back image apart from pavement-height 4700mm to 5200mm Between, it is ensured that it is not hit by container-trailer while shooting the smaller reduction anamorphose of pitch angle, video camera C5, video camera C6 For shooting container left and right sides case number (CN) image, mounting distance pavement-height 3300 is between 3800mm and container number Height keep horizontal substantially.
In 20 forty equivalent unit 40 image acquisition process, automatic collection 8 opens photo.Video camera C1, video camera C2 are adopted respectively Collection 2 times, totally 4 photos, cover 3 faces of container top and left and right sides;Video camera C3, video camera C4 acquire 1 time respectively, and totally 2 Open photo, 2 faces before and after covering container;Video camera C5, video camera C6 are acquired 1 time respectively, cover container left and right sides case number (CN);
Wherein video camera C1, video camera C2, video camera C3, video camera C4 acquisition photo completely cover container it is forward and backward, Left and right, top, acquisition image for judge container with the presence or absence of damaged and damaged type, video camera C3, video camera C4, The photo emphasis of video camera C5, video camera C6 acquisition covers container number part, is used for container number automatic identification;
2 faces before and after the picture covering container of video camera C3, video camera C4 acquisition, both can be used for judging whether container is deposited Also meet the requirement of container number automatic identification in breakage.
In double 20 forty equivalent unit 40s, 40 forty equivalent unit 40s, 45 forty equivalent unit 40s, 48 forty equivalent unit 40s, 53 forty equivalent unit 40s Image acquisition process in, automatic collection 12 opens photo.Video camera C1, video camera C2 are acquired 3 times respectively, and totally 6 photos, cover 3 faces of container top and left and right sides;Video camera C3.Video camera C4 is acquired 1 time respectively, and totally 2 photos, cover container front and back 2 faces;Video camera C5, video camera C6 are acquired 2 times respectively, cover container left and right sides case number (CN);
Wherein video camera C1, video camera C2, video camera C3, video camera C4 acquisition image completely cover container it is forward and backward, Left and right, top image is for judging container with the presence or absence of breakage, video camera C3, video camera C4, video camera C5, video camera C6 The photo emphasis of acquisition covers container number part, is used for container number automatic identification;
2 faces before and after the picture covering container of video camera C3, video camera C4 acquisition, both can be used for judging whether container is deposited Also meet the requirement of container number automatic identification in breakage.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description, And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Illustrative description has been carried out to the invention patent above in conjunction with attached drawing, it is clear that the realization of the invention patent not by The limitation of aforesaid way, if the method concept of the invention patent and the various improvement of technical solution progress are used, or without It improves and the conception and technical scheme of the invention patent is directly applied into other occasions, be within the scope of the invention.

Claims (10)

1. a kind of container surface image and container number image-pickup method, which is characterized in that include the following steps,
Step 1: container drives into acquisition channel, while blocking infrared emission sensor S1, infrared emission sensor S2 and red Outer opposite type sensor S3, when container enters infrared emission sensor S4 from infrared emission sensor S3, video camera C1, camera shooting Machine C2 captures container representation;
Step 2: when container enters infrared emission sensor S5 from infrared emission sensor S4, container blocks infrared emission Sensor S2, infrared emission sensor S3 and infrared emission sensor S4, video camera C4, video camera C5 and video camera C6 are grabbed Container representation is clapped, and the state of infrared emission sensor S1 is judged;
Step 3: according to the judgement in step 2 to the state of infrared emission sensor S1, if infrared emission sensor S1 is not collected Vanning is blocked, then container is the first container, and the tail end of the first container enters infrared from infrared emission sensor S1 at this time When opposite type sensor S2, video camera C1, video camera C2, video camera C3 capture the first container representation;
If infrared emission sensor S1 is blocked by container, container is the second container, then carries out step 4;
Step 4: when the second container enters infrared emission sensor S6 from infrared emission sensor S5, video camera C1, camera shooting Machine C2 captures the second container representation;
Step 5: according to step 4, when the tail end of the second container enters infrared emission sensor S2 from infrared emission sensor S1, Video camera C1, video camera C2, video camera C3, video camera C5, video camera C6 capture the second container representation.
2. container surface image according to claim 1 and container number image-pickup method, which is characterized in that
The video camera C1 and video camera C2: being respectively arranged on the left and right sides of the acquisition channel, described for shooting The top of container and left and right sides image;
The video camera C3: set on the tail end of the acquisition channel, for shooting the posterior images of the container;
The video camera C4: set on the front end of the acquisition channel, for shooting the front image of the container;
The video camera C5 and video camera C6: it is respectively arranged on the left and right sides of the acquisition channel, for shooting packaging The case number (CN) image of case left and right side;
Wherein the image of the video camera C1 and video camera C2 shooting completely covers that container is left and right and top graph Picture is mainly used for judging container with the presence or absence of damaged and damaged type;
The image of the video camera C3 and video camera C4 shooting completely covers the forward and backward image of container, is mainly used for Judge to whether there is damaged and damaged type before and after container;
The image of the video camera C5 and video camera C6 shooting covers the case number (CN) part of container, is mainly used for packaging The automatic identification of case number (CN) code.
3. container surface image according to claim 2 and container number image-pickup method, which is characterized in that institute The mounting height for stating the video camera C1 and video camera C2 is and the video camera C1 and described for 5500-6000mm The visual field width of video camera C2 is for 4500-5000mm.
4. container surface image according to claim 2 and container number image-pickup method, which is characterized in that institute The mounting height for stating video camera C3 and the video camera C4 is 4700-5200mm.
5. container surface image according to claim 2 and container number image-pickup method, which is characterized in that institute The mounting height for stating video camera C5 and the video camera C6 is 3300-3800mm.
6. container surface image according to claim 1 and container number image-pickup method, which is characterized in that institute State infrared emission sensor S1, the infrared emission sensor S2, the infrared emission sensor S3, infrared emission sensing Device S4, the infrared emission sensor S5 and the infrared emission sensor S6 are arranged successively distribution setting, and described infrared Opposite type sensor S2, the infrared emission sensor S3, the infrared emission sensor S4, the infrared emission sensor S5 with And the infrared emission sensor S6 is equidistant arrangement distribution setting.
7. container surface image according to claim 6 and container number image-pickup method, which is characterized in that institute Stating the spacing between infrared emission sensor S1 and the infrared emission sensor S2 is 2000mm, the infrared emission sensor The distance between S2 and the infrared emission sensor S3 are 1900mm.
8. container surface image according to claim 1 and container number image-pickup method, which is characterized in that red Before the tail end and the infrared emission sensor S6 and the acquisition channel of outer opposite type sensor S1 and the acquisition channel End keeps certain distance.
9. container surface image according to claim 8 and container number image-pickup method, which is characterized in that institute State the tail end and the infrared emission sensor S6 and the acquisition channel of infrared emission sensor S1 and the acquisition channel The distance between front end be 1500mm.
10. container surface image according to claim 1 and container number image-pickup method, which is characterized in that The container includes first container and second container, and first container is 20 forty equivalent unit 40s, Second container is double 20 forty equivalent unit 40s or is 40 forty equivalent unit 40s or is 45 forty equivalent unit 40s or is 48 English Ruler container is 53 forty equivalent unit 40s.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112508133A (en) * 2021-02-01 2021-03-16 聚时科技(江苏)有限公司 Multi-mode information fusion container type identification method and system
CN112800842A (en) * 2020-12-30 2021-05-14 苏州现代货箱码头有限公司 Automatic incomplete device of examining and automatic current intelligent gate system
CN114339159A (en) * 2021-12-31 2022-04-12 深圳市平方科技股份有限公司 Image acquisition method and device, electronic equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205080568U (en) * 2015-09-23 2016-03-09 南京三宝科技股份有限公司 Arrange in container crate number recognition device of intelligent toll -gate passageway
US20160178791A1 (en) * 2014-12-17 2016-06-23 Tsinghua University Quick vehicle check system and method adopting multi-dose regional scanning
US20160259805A1 (en) * 2001-10-18 2016-09-08 Microsoft Technology Licensing, Llc Method for graphical representation of a content collection
CN106067023A (en) * 2016-06-02 2016-11-02 北京国泰星云科技有限公司 Container number based on image procossing and truck Train number recognition system and method
CN205788226U (en) * 2016-06-02 2016-12-07 北京国泰星云科技有限公司 Container number based on image procossing and truck car number identification system
CN206971120U (en) * 2017-03-27 2018-02-06 深圳市软筑信息技术有限公司 A kind of clearance integration channel controller
CN108205673A (en) * 2016-12-16 2018-06-26 塔塔顾问服务有限公司 Method and system for container code identification

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160259805A1 (en) * 2001-10-18 2016-09-08 Microsoft Technology Licensing, Llc Method for graphical representation of a content collection
US20160178791A1 (en) * 2014-12-17 2016-06-23 Tsinghua University Quick vehicle check system and method adopting multi-dose regional scanning
CN205080568U (en) * 2015-09-23 2016-03-09 南京三宝科技股份有限公司 Arrange in container crate number recognition device of intelligent toll -gate passageway
CN106067023A (en) * 2016-06-02 2016-11-02 北京国泰星云科技有限公司 Container number based on image procossing and truck Train number recognition system and method
CN205788226U (en) * 2016-06-02 2016-12-07 北京国泰星云科技有限公司 Container number based on image procossing and truck car number identification system
CN108205673A (en) * 2016-12-16 2018-06-26 塔塔顾问服务有限公司 Method and system for container code identification
CN206971120U (en) * 2017-03-27 2018-02-06 深圳市软筑信息技术有限公司 A kind of clearance integration channel controller

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112800842A (en) * 2020-12-30 2021-05-14 苏州现代货箱码头有限公司 Automatic incomplete device of examining and automatic current intelligent gate system
CN112508133A (en) * 2021-02-01 2021-03-16 聚时科技(江苏)有限公司 Multi-mode information fusion container type identification method and system
CN112508133B (en) * 2021-02-01 2021-06-04 聚时科技(上海)有限公司 Multi-mode information fusion container type identification method and system
CN114339159A (en) * 2021-12-31 2022-04-12 深圳市平方科技股份有限公司 Image acquisition method and device, electronic equipment and storage medium

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