CN110942461A - Intelligent testing and viewing system for fixed-scene container - Google Patents
Intelligent testing and viewing system for fixed-scene container Download PDFInfo
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- CN110942461A CN110942461A CN201911323007.6A CN201911323007A CN110942461A CN 110942461 A CN110942461 A CN 110942461A CN 201911323007 A CN201911323007 A CN 201911323007A CN 110942461 A CN110942461 A CN 110942461A
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- 238000012360 testing method Methods 0.000 title claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 46
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- 230000005540 biological transmission Effects 0.000 claims abstract description 20
- 238000007689 inspection Methods 0.000 claims description 45
- 230000007547 defect Effects 0.000 claims description 6
- 238000005286 illumination Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 230000000630 rising effect Effects 0.000 claims description 2
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- 238000003709 image segmentation Methods 0.000 description 7
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/45—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
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Abstract
The invention discloses an intelligent testing system for a container in a fixed scene, which comprises a container truck position acquisition unit, an image acquisition processing unit, a terminal processing unit, a data transmission unit and a human-computer interaction unit. The system is arranged on a lane through which a collection truck passes, is applied to container entrances such as ports, customs, container yards and storage yards in fixed scenes, and is used for automatically acquiring images of containers on the collection truck and intelligently inspecting the containers. The invention realizes the intelligent test viewing function of the container in a fixed scene, can greatly improve the viewing efficiency, reduce the potential safety hazard and solve various problems caused by the traditional means.
Description
Technical Field
The invention belongs to the field of electronic technology application, and particularly relates to a fixed site container inspection system.
Background
With the progress of scientific technology and the increase of the national import and export trade, the logistics transportation industry is in an environment of rapid development and demand increase, the transportation demand for containers increases year by year, and the containers play an important role in marine transportation. Fixed places such as storage yards, areas such as container yard still rely on traditional box person of examining to carry out the manual work to the box and examine, and the whole process of examining is loaded down with trivial details, examines the time longer, has very high potential safety hazard simultaneously, and inefficiency and flow are loaded down with trivial details, have seriously influenced present digitization, the circulation efficiency of commodity circulation under the intelligent era. Nowadays, the technology based on computer vision is mature unprecedentedly, and if the container on the collection truck can be automatically processed by using the technical means of the Internet of things and image processing, the full-automatic inspection of the container is realized without manual operation.
Disclosure of Invention
In order to realize automatic inspection, the invention aims to provide an intelligent inspection system for a container with a fixed scene, and by using the system, the full-automatic inspection of the container can be realized without manual operation.
The invention aims to be realized by the following technical scheme:
an intelligent testing system for a container with a fixed scene comprises a container truck position acquisition unit, an image acquisition processing unit, a terminal processing unit, a data transmission unit and a human-computer interaction unit. The collecting card position acquisition unit is used for controlling the rising and falling of the parking rod so as to control the inlet and outlet of the collecting card. The man-machine interaction unit is used for displaying EIR information, controlling the image acquisition and processing unit to acquire images, receiving feedback information processed by the terminal to indicate a driver to open a box door, and acquiring final box inspection information. The image acquisition and processing unit acquires box images and transmits the box images to the terminal processing unit; the terminal processing unit comprises a split-view image segmentation unit and a split-part image inspection unit, wherein the split-view image segmentation unit segments each part of the container from different box images, and the split-part image inspection unit detects and inspects defects of the segmented parts; the box body image inspection result is associated with the container information and then is sent to a server through a data transmission unit; and receiving the container body inspection result sent by the server through the data transmission unit, and displaying the container body inspection result through the human-computer interaction unit. Wherein the container information includes a container type and a container number.
Furthermore, the man-machine interaction unit is also used for displaying the container in-place signal.
Furthermore, the image acquisition processing unit is also used for acquiring container information and transmitting the container information to the terminal processing unit.
Preferably, the image acquisition and processing unit is a container inspection camera device installed at a fixed site.
Preferably, the box body image collected by the image collecting and processing unit comprises a plurality of multi-angle box body external images and box body internal images.
Further, the terminal processing unit controls the human-computer interaction unit to instruct a driver to open the door of the container.
Further, the terminal processing unit comprises a split-view image segmentation unit and a split-part image inspection unit, the split-view image segmentation unit segments each part of the container from different box images, and the split-part image inspection unit detects and inspects defects of the segmented parts; if the integrity of the box body can be identified, displaying the identification result through the man-machine interaction unit, and sending the identification result to the server through the data transmission unit; and if the integrity of the box body cannot be identified, sending the box body image to the server through the data transmission unit.
And further, the terminal processing unit is also used for identifying the container information, displaying the identification result through the human-computer interaction unit and sending the identification result to the server through the data transmission unit.
Further, after the terminal processing unit receives the container body inspection result sent by the server, if the container body inspection result is qualified, the payment program is started.
And further, the terminal processing unit is also used for identifying the container information, displaying the identification result through the human-computer interaction unit and sending the identification result to the server through the data transmission unit.
Preferably, the human-computer interaction unit is composed of a touch screen or a display screen and buttons.
The invention has the advantages that the inspection efficiency of the container can be effectively improved, the full-automatic inspection of the container can be realized without manual operation,
drawings
Fig. 1 is a schematic system structure diagram of a fixed-scene container intelligent laboratory viewing system according to an embodiment;
FIG. 2 is a schematic view illustrating a flow chart of an example of a use of the intelligent vision inspection system for a container with a fixed scene;
FIG. 3 is a diagram illustrating a scenario implementation of a fixed scenario container intelligent laboratory viewing system provided in an example embodiment;
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention. The present invention is in no way limited to any specific configuration and algorithm set forth below, but covers any modification, replacement or improvement of elements, units or procedures without departing from the spirit of the present invention. In the following description, well-known structures and techniques are not shown in order to avoid unnecessarily obscuring the present invention.
Example embodiments will now be described with reference to the accompanying drawings, which may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, operational flows, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, apparatus, etc. In other instances, well-known structures, devices, or algorithm details have not been shown or described in detail to avoid obscuring the primary technical ideas of the present invention.
The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments. .
As shown in fig. 2, the fixed-scene container intelligent vision inspection system disclosed in this embodiment includes a container truck position acquisition unit, an image acquisition processing unit, a terminal processing unit, a data transmission unit, and a human-computer interaction unit; the collecting card position acquisition unit is used for controlling the inlet and outlet of the collecting card; the man-machine interaction is used for controlling image acquisition, EIR information display, instructing drivers to open containers, displaying container information and displaying a final container inspection result. The image acquisition and processing unit acquires box images and transmits the box images to the terminal processing unit; the terminal processing unit comprises a sub-view image segmentation unit and a sub-component image inspection unit, the sub-view image segmentation unit segments each component of the container from different box images, the sub-component image inspection unit detects and inspects defects of the segmented components, associates box image inspection results with container information firstly, and then sends the container information to the server through the data transmission unit; and receiving the container body inspection result sent by the server through the data transmission unit, and displaying the container body inspection result through the human-computer interaction unit.
The intelligent inspection system for the container with fixed scene disclosed in the embodiment is described in detail below.
The image acquisition processing unit: the system comprises an image acquisition processing server, an image acquisition device and an image acquisition auxiliary device. By way of example and not limitation, the image acquisition unit is a container inspection camera installed in a fixed site, and comprises a front camera-left, a front camera-right, a rear camera-left, a rear camera-right, a front camera, a top camera and a bottom camera, and the front camera acquires box images of the box, such as front side illumination-left, front side illumination-right, rear side illumination-left, rear side illumination-right, box door illumination (outside), inside illumination, top illumination, bottom illumination, inside illumination and the like, and transmits the box images to the terminal processing unit. The image capture assistance device includes, but is not limited to, a flash.
A terminal processing unit: by way of example, and not limitation, a storage medium and a processor, the processor configured to execute a program on the storage medium, the program on the storage medium performing the following operations:
1. determining a box type and a box number; the choice of box type can be 20 feet standard container, 40 feet tall cabinet, etc.
2. An image of the container body of the container is received.
3. And the control man-machine interaction unit instructs a driver to open the door of the container.
4. The image preprocessing unit preprocesses the received box body image, and the preprocessing comprises algorithms such as image denoising and enhancing.
5. The split-view image segmentation unit segments the container parts from different container images.
6. And the part image inspection unit is used for detecting defects and inspecting the divided parts.
7. And the box body image inspection result is associated with container information such as box type, box number and the like and then is sent to a server through a data transmission unit.
8. And receiving the container body inspection result sent by the server, and displaying the container inspection result through the human-computer interaction unit.
A data transmission unit: by way of example and not limitation, the TCP/IP protocol can be adopted to complete data transmission between the intelligent testing system of the container in the fixed scene and the server.
A human-computer interaction unit: by way of example and not limitation, may consist of a touch screen or a display screen and buttons. The user obtains the container in-place signal and EIR information and the container inspection result by using the man-machine interaction unit.
The intelligent inspection system for the fixed scene container has the following use flow:
1. when the container is used, after the container is transported to a storage yard, a driver scans the two-dimensional code of human-computer interaction to acquire EIR information and changes the EIR information according to the information.
2. A driver opens the door of the container according to the instruction of the human-computer interaction unit of the system;
3. the system automatically collects the box body image;
4. the system associates the box image with the box information and then sends the box image and the box information to the server;
5. the server checks the container body and sends the container checking result to the fixed scene container intelligent testing system. The server may also send the container inspection results to a third party, such as the freight forwarder, the shipping company, etc., for viewing, as desired.
The container inspection result is checked through the intelligent inspection system for the container with the fixed scene, if the container body inspection result is that the container body is intact, a payment program can be started, and the next loading of goods to be transported is arranged. And if the inspection result of the container body is unidentifiable, reminding related personnel to acquire the image of the container body again through the human-computer interaction unit. And if the container body inspection result is unqualified, the container is transported to a manual judgment area by a truck driver.
Claims (15)
1. An intelligent testing system for a container with a fixed scene comprises a container truck position acquisition unit, an image acquisition processing unit, a terminal processing unit, a data transmission unit and a human-computer interaction unit.
2. The truck collection position acquisition unit comprises ground induction coils A and B arranged at the starting position and the final position of a lane, a vehicle detector connected with the induction coils, and two pairs of infrared correlation switches sequentially arranged along the advancing direction of the lane, wherein the lane ground induction coils are connected with a parking rod controller through the vehicle detector, when a truck enters the lane or leaves the lane, the ground induction coils generate trigger signals and transmit the trigger signals to the vehicle detector, and the vehicle detector transmits the signals to the parking rod controller for controlling the rising and falling of a parking rod.
3. The image acquisition processing device mainly comprises an image acquisition processing server, an image acquisition device and an image acquisition auxiliary device. The image acquisition and processing server is connected with the man-machine interaction unit through a network cable, receives a shooting instruction sent by the man-machine interaction device, controls the image acquisition and processing unit to shoot, transmits shooting information to the terminal processing unit through the data transmission unit, and is used for intelligently inspecting containers. The image acquisition device is a high-definition camera, is arranged on the portal frame and the parking rod, and is used for receiving a control command of the image acquisition processing server and acquiring images of all angles of the container. The image acquisition auxiliary device is a device for assisting the image acquisition device to acquire images in a dark environment under adverse weather conditions, and comprises a flash lamp and other light supplementing devices.
4. The man-machine interaction unit is mainly a two-dimensional code interaction machine, the device is connected with the image acquisition control unit to send out a control command, is connected with the terminal server through the data transmission unit and is used for acquiring necessary information, the EIR information of the container is displayed through the display device of the interaction machine and is used for the entrance confirmation of a driver, and meanwhile, the driver can change the information through a switch or a mobile phone. The interactive machine is also used for receiving the information of successful acquisition of the container external illumination of the image acquisition device and then interactively indicating the driver to open the container door with the driver. The interactive machine is also used for receiving final inspection information of the container of the processing terminal, displaying defect information and displaying payment information.
5. The intelligent laboratory viewing system for fixed-scene containers as claimed in claim 1, wherein said image acquisition and processing unit is a container inspection camera installed in a fixed site.
6. The intelligent testing vision system for fixed-scene containers as claimed in claim 1, wherein the image acquisition and processing unit acquires images of the container body, and the images of the container body comprise a plurality of multi-angle images of the exterior of the container body and images of the interior of the container body.
7. The intelligent laboratory viewing system for fixed-scene containers as claimed in claim 1, wherein said image acquisition processing unit is further configured to acquire container information and transmit the container information to the terminal processing unit.
8. The intelligent laboratory viewing system for fixed-scene containers as claimed in claim 1, wherein said terminal processing unit controls the human-computer interaction unit to instruct the driver to open the door of the container.
9. The intelligent laboratory viewing system for fixed-scene containers according to claim 1, wherein said terminal processing unit controls the human-computer interaction unit to display EIR information.
10. The intelligent laboratory viewing system for fixed-scene containers as claimed in claim 1, wherein said terminal processing unit controls said human-computer interaction unit to display the result of the container inspection.
11. The intelligent testing and viewing system for the container with the fixed scene as claimed in claim 1, wherein the terminal processing unit comprises a split-view image splitting unit and a split-part image viewing unit, the split-view image splitting unit splits each part of the container from different box images, and the split-part image viewing unit detects and views defects of the split parts; if the integrity of the box body can be identified, displaying the identification result through the man-machine interaction unit, and sending the identification result to the server through the data transmission unit; and if the integrity of the box body cannot be identified, sending the box body image to the server through the data transmission unit.
12. The intelligent testing system for container in fixed scene as claimed in claim 1, wherein said terminal processing unit is further configured to initiate a payment procedure if the container body inspection result is qualified after receiving the container body inspection result sent by the server.
13. The intelligent testing system for containers with fixed scenes as claimed in claim 1, wherein said terminal processing unit is further configured to identify container information, display the identification result through the human-computer interaction unit, and transmit the identification result to the server through the data transmission unit.
14. The intelligent laboratory viewing system for fixed-scene containers as claimed in claim 1, wherein said human-computer interaction unit is composed of a touch screen or a display screen and buttons.
15. The intelligent laboratory viewing system for fixed-scene containers as claimed in claim 1, wherein said human-computer interaction unit is further configured to display a container-in-place signal.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911323007.6A CN110942461A (en) | 2019-12-20 | 2019-12-20 | Intelligent testing and viewing system for fixed-scene container |
| PCT/CN2020/136735 WO2021121254A1 (en) | 2019-12-20 | 2020-12-16 | Fixed-site container inspection system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911323007.6A CN110942461A (en) | 2019-12-20 | 2019-12-20 | Intelligent testing and viewing system for fixed-scene container |
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| CN110942461A true CN110942461A (en) | 2020-03-31 |
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| WO (1) | WO2021121254A1 (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111798446A (en) * | 2020-07-17 | 2020-10-20 | 上海撬动网络科技有限公司 | Container image screening method, computing device and storage medium |
| CN111795972A (en) * | 2020-07-17 | 2020-10-20 | 上海撬动网络科技有限公司 | Container image acquisition method, mobile acquisition equipment and storage medium |
| CN111833302A (en) * | 2020-06-05 | 2020-10-27 | 中铁武汉勘察设计研究院有限公司 | Car number and case number identification association system |
| CN112683916A (en) * | 2020-12-17 | 2021-04-20 | 华能新能源股份有限公司云南分公司 | Method and device for identifying missing or mounting error of small hardware fittings of current collecting line tower |
| WO2021121254A1 (en) * | 2019-12-20 | 2021-06-24 | 上海撬动网络科技有限公司 | Fixed-site container inspection system |
| CN113065410A (en) * | 2021-03-10 | 2021-07-02 | 广州云从鼎望科技有限公司 | Intelligent control method, system, medium and device for container drawing process |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115392828A (en) * | 2022-08-10 | 2022-11-25 | 宁波外轮理货有限公司 | Intelligent tallying handheld end system and tallying method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040062348A1 (en) * | 2002-09-27 | 2004-04-01 | Bor-Shenn Jeng | Image-based container defects detector |
| CN103473934A (en) * | 2013-10-02 | 2013-12-25 | 哈尔滨理工大学 | Customhouse logistics vehicle detecting device and method based on vision |
| CN103745337A (en) * | 2014-02-12 | 2014-04-23 | 郑恒强 | Network technology and two-dimensional code application based container equipment interchange receipt system |
| CN103996102A (en) * | 2014-06-04 | 2014-08-20 | 广州市华纬计算机科技有限公司 | Container body inspection method |
| CN204904337U (en) * | 2015-07-25 | 2015-12-23 | 青岛世隆创新软件科技有限公司 | Automatic change network intelligence bayonet socket control management system |
| CN204946133U (en) * | 2015-08-28 | 2016-01-06 | 中创物流股份有限公司 | A kind of container turnover field intelligent management system |
| CN107274121A (en) * | 2017-05-25 | 2017-10-20 | 上海撬动网络科技有限公司 | Without fixed venue Container Survey system |
| CN109344828A (en) * | 2018-09-30 | 2019-02-15 | 中铁武汉勘察设计研究院有限公司 | A kind of container representation acquisition system and container loading condition detection method |
| CN110443795A (en) * | 2019-08-13 | 2019-11-12 | 上海深远智能科技有限公司 | A kind of container surface image and container number acquisition system and device |
| CN110460813A (en) * | 2019-08-12 | 2019-11-15 | 兰州交通大学 | A kind of container representation acquisition device and acquisition method based on video flowing |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102289649B1 (en) * | 2017-07-03 | 2021-08-13 | 베이징 긱플러스 테크놀러지 시오. 엘티디 | Relay-type article picking system and picking method |
| CN110942461A (en) * | 2019-12-20 | 2020-03-31 | 上海撬动网络科技有限公司 | Intelligent testing and viewing system for fixed-scene container |
-
2019
- 2019-12-20 CN CN201911323007.6A patent/CN110942461A/en active Pending
-
2020
- 2020-12-16 WO PCT/CN2020/136735 patent/WO2021121254A1/en active Application Filing
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040062348A1 (en) * | 2002-09-27 | 2004-04-01 | Bor-Shenn Jeng | Image-based container defects detector |
| CN103473934A (en) * | 2013-10-02 | 2013-12-25 | 哈尔滨理工大学 | Customhouse logistics vehicle detecting device and method based on vision |
| CN103745337A (en) * | 2014-02-12 | 2014-04-23 | 郑恒强 | Network technology and two-dimensional code application based container equipment interchange receipt system |
| CN103996102A (en) * | 2014-06-04 | 2014-08-20 | 广州市华纬计算机科技有限公司 | Container body inspection method |
| CN204904337U (en) * | 2015-07-25 | 2015-12-23 | 青岛世隆创新软件科技有限公司 | Automatic change network intelligence bayonet socket control management system |
| CN204946133U (en) * | 2015-08-28 | 2016-01-06 | 中创物流股份有限公司 | A kind of container turnover field intelligent management system |
| CN107274121A (en) * | 2017-05-25 | 2017-10-20 | 上海撬动网络科技有限公司 | Without fixed venue Container Survey system |
| CN109344828A (en) * | 2018-09-30 | 2019-02-15 | 中铁武汉勘察设计研究院有限公司 | A kind of container representation acquisition system and container loading condition detection method |
| CN110460813A (en) * | 2019-08-12 | 2019-11-15 | 兰州交通大学 | A kind of container representation acquisition device and acquisition method based on video flowing |
| CN110443795A (en) * | 2019-08-13 | 2019-11-12 | 上海深远智能科技有限公司 | A kind of container surface image and container number acquisition system and device |
Non-Patent Citations (1)
| Title |
|---|
| 严南南 等: "《港口智能电子商务》", 上海科学技术出版社, pages: 128 - 130 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021121254A1 (en) * | 2019-12-20 | 2021-06-24 | 上海撬动网络科技有限公司 | Fixed-site container inspection system |
| CN111833302A (en) * | 2020-06-05 | 2020-10-27 | 中铁武汉勘察设计研究院有限公司 | Car number and case number identification association system |
| CN111798446A (en) * | 2020-07-17 | 2020-10-20 | 上海撬动网络科技有限公司 | Container image screening method, computing device and storage medium |
| CN111795972A (en) * | 2020-07-17 | 2020-10-20 | 上海撬动网络科技有限公司 | Container image acquisition method, mobile acquisition equipment and storage medium |
| CN112683916A (en) * | 2020-12-17 | 2021-04-20 | 华能新能源股份有限公司云南分公司 | Method and device for identifying missing or mounting error of small hardware fittings of current collecting line tower |
| CN113065410A (en) * | 2021-03-10 | 2021-07-02 | 广州云从鼎望科技有限公司 | Intelligent control method, system, medium and device for container drawing process |
| CN113065410B (en) * | 2021-03-10 | 2024-06-04 | 广州云从鼎望科技有限公司 | Intelligent control method, system, medium and device for container picking process |
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