KR101753279B1 - System for auto-recognizing Delivery freight - Google Patents

Abstract

The present invention relates to a high-speed photographing module for photographing a cargo passing through a conveyor and a conveyor and generating cargo image information, a cargo photographing module for extracting cargo recognition information by receiving cargo image information and transmitting the cargo image information or cargo recognition information to an external device, The present invention relates to a courier cargo automatic recognition system including a computing device for analyzing a courier cargo.

Description

System for auto-recognizing Delivery freight}

The present invention relates to a high-speed photographing module for photographing a cargo passing through a conveyor and a conveyor and generating cargo image information, a cargo photographing module for extracting cargo recognition information by receiving cargo image information and transmitting the cargo image information or cargo recognition information to an external device, The present invention relates to a courier cargo automatic recognition system including a computing device for analyzing a courier cargo.

In the modern society where the commercialization is highly developed, the courier market is rapidly increasing every year. In Korea, one courier carries a maximum of 1.4 million courier packages per day. In the period when courier services such as holidays are in demand, Is concentrated. Therefore, it is the most essential technique to classify courier goods more quickly and accurately.

1, in the case of the conventional courier identification system, after the invoice 111 attached to the courier 110 is moved through the conveyor 120 and the like, The courier cargoes were classified by hand so as to recognize the barcode of the invoice.

This has resulted in a problem of overworking the unnecessary workforce in the transportation company, and there was a disadvantage that the speed was not secured beyond a certain level since the work was carried out by manually printing the bar code. Therefore, there is a need to develop a technique for automatically recognizing a courier freight moving through a conveyor through a camera.

The present invention automatically recognizes an invoice barcode at the lower end of a parcel carrier moving at a high speed on a conveyor in a parcel delivery terminal to automatically classify parcels as described above to acquire cargo inspection and classification information without any separate sorting operation The present invention aims to provide a system for automatically recognizing a courier cargo, which realizes a possible image processing based courier cargo bottom bar code recognition apparatus.

The technical problem to be solved by the present invention is not limited to the above-mentioned technical problems, and various technical problems can be included within the scope of what is well known to a person skilled in the art from the following description.

According to an aspect of the present invention, there is provided a system for automatically recognizing a parcial cargo, comprising: a conveyor; a high-speed photographing module for photographing a cargo passing through the conveyor to generate cargo image information; And a computing device that extracts the cargo recognition information and transmits the cargo image information or the cargo recognition information to an external device or analyzes the information.

According to another aspect of the present invention, there is provided a system for automatically recognizing a parcels cargo, wherein the conveyor is at least one of a belt conveyor, a roller conveyor, a trolley conveyor, and a wheel conveyor, 0.5 cm to 2 cm. The high-speed photographing module photographs the cargo through an interval between the conveyors.

According to another aspect of the present invention, there is provided a system for automatically recognizing a delivery freight, wherein the conveyor is a roller conveyor, and the high-speed photographing module photographs the freight through a gap between the rollers of the roller conveyor. At this time, the roller conveyor is characterized in that the interval between the rollers is 0.5 cm to 2 cm.

Further, in the courier goods automatic recognition system according to an embodiment of the present invention, the high-speed photographing module is located at the lower end of the conveyor. In this case, the high-speed photographing module photographs the cargo information attached to the lower end of the cargo.

In addition, the courier cargo automatic recognition system according to an embodiment of the present invention is characterized in that the high-speed photographing module continuously photographs for a predetermined time to generate a plurality of pieces of cargo image information. Further, in the courier cargo automatic recognition system according to an embodiment of the present invention, at least two of the high-speed photographing modules are installed in the vertical direction in which the conveyor is moved.

In addition, the courier cargo automatic recognition system according to an embodiment of the present invention may be configured such that the computing device compiles the cargo image information to correct the collected cargo image information, extracts cargo recognition information from the corrected cargo image information, . At this time, the computing device matches the extracted cargo identification information with corresponding cargo information, and transmits the cargo information to the integrated management server.

In another aspect of the present invention, there is provided an automatic courier-freight recognition system, wherein the cargo identification information is a bar code. In addition, the courier cargo automatic recognition system according to an embodiment of the present invention is characterized in that the computing device extracts the cargo recognition information by enlarging the cargo image information by a predetermined magnification.

According to another aspect of the present invention, there is provided a courier cargo automatic recognition system, comprising: a display device for receiving the cargo image information or the cargo recognition information from the computing device and outputting an image.

In addition, a courier cargo automatic recognition system according to an embodiment of the present invention includes a display recognition device for detecting the cargo recognition information output to the display device and matching and extracting the cargo recognition information and corresponding cargo information .

In this case, the automatic recognition system for delivering a parcel according to an embodiment of the present invention is characterized in that the display recognition device is at least one of a bar code recognition camera and an optical scanner. The display recognition device compares the cargo information extracted by the display recognition device with the cargo information extracted by the computing device to determine whether or not the cargo information is the same cargo information if the cargo information corresponding to the cargo recognition information has already been extracted in the computing device .

Further, the courier cargo automatic recognition system according to an embodiment of the present invention may further include an illumination unit illuminating the cargo. At this time, the illumination unit is located at the lower end of the conveyor.

In addition, the courier cargo automatic recognition system according to an embodiment of the present invention further includes a sensor for recognizing the cargo. In this case, the high-speed photographing module photographs the cargo when the sensor recognizes the cargo.

Further, the courier cargo automatic recognition system according to an embodiment of the present invention further includes an integrated management server for receiving the cargo identification information or the cargo information from the computing device or the display device and controlling the information about the cargo .

In the case of a conventional fixed bar code reader or a method in which the originator touches the reader directly to the invoice of the cargo, when the courier cargo is positioned on the conveyor, the bar code of the invoice is attached to the bottom of the courier cargo, And there was an inconvenience that the sorting operation was carried out separately after moving through the conveyor.

However, according to the present invention, there is provided an automatic courier-cargo recognition system for picking up an invoice of a courier freight moving by using a gap between conveyor rollers, then scanning an image output to a display device such as a monitor to recognize an invoice barcode, The computing device connected to the communication device extracts and recognizes the barcode image from the image itself, thereby increasing the recognition rate of the parcels and minimizing the error.

In addition, in the case of the conventional courier identification system, there is a disadvantage in that it can be recognized only when it is attached to five of the cube such as the top / front / rear / seat / Even if the invoice is attached to the bottom of the courier cargo moving the conveyor, it can be recognized automatically and effectively.

 In addition, the courier cargo automatic recognition system of the present invention can be applied to the courier industry in addition to the conventional bar code recognition method in order to check the cargo and obtain the classification information, Can be greatly improved.

In addition, the automatic delivery system of the present invention can be applied to the logistics terminal operation field by fusing with the unmanned technology in the delivery terminal, thereby expanding the application field of the related technology. This high logistics technology can contribute to leading unmanned automation operation of logistics terminal.

Brief Description of the Drawings Fig. 1 is an exemplary view showing an embodiment of a courier carrier recognition system according to an embodiment of the present invention.
FIG. 2 is a configuration diagram illustrating a courier cargo automatic recognition system according to an embodiment of the present invention.
FIGS. 3 and 4 are views illustrating an example of a courier delivery vehicle passing over a conveyor in the courier delivery automatic recognition system according to the embodiment of the present invention.
5 is an exemplary view showing cargo image information of a high-speed photographing module for photographing a parcel delivery on a conveyor in a courier cargo automatic recognition system according to an embodiment of the present invention.
FIGS. 6 and 7 are diagrams illustrating a configuration for extracting cargo recognition information after correcting cargo image information in a courier cargo automatic recognition system according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will now be described more fully with reference to the accompanying drawings, in which exemplary embodiments of the invention are shown. The present invention is not limited to the above-described embodiments, and various changes and modifications may be made without departing from the scope of the present invention. In addition, the matters described in the attached drawings may be different from those actually implemented by the schematic drawings to easily describe the embodiments of the present invention.

In the meantime, each constituent unit described below is only an example for implementing the present invention. Thus, in other implementations of the present invention, other components may be used without departing from the spirit and scope of the present invention.

Also, the expression " comprising " is intended to merely denote that such elements are present as an expression of " open ", and should not be understood to exclude additional elements.

Also, the expressions such as 'first, second', etc. are used only to distinguish between plural configurations, and do not limit the order or other features among the configurations.

Brief Description of the Drawings Fig. 1 is an exemplary view showing an embodiment of a courier carrier recognition system according to an embodiment of the present invention.

Referring to FIG. 1, a conventional courier cargo identification system is a system in which an invoice 111 attached to a courier cargo 110 is moved through a conveyor 120 and the like, They were classified by hand so as to recognize the barcode, and the parcels were individually classified. Therefore, there is a problem that the cargo terminal can not be automated and unattended because the cargo sorting operation is performed manually, and there is a drawback that the speed is very slow and the efficiency is low.

FIG. 2 is a configuration diagram illustrating a courier cargo automatic recognition system according to an embodiment of the present invention.

Referring to FIG. 2, the courier cargo recognition system of the present invention may include a conveyor 220, a high-speed photographing module 230, and a computing device 240.

The conveyor 220 is used to move a cargo and is a mechanical device capable of automatically moving a certain distance in the transportation of a material or an article. The present invention provides a courier cargo automatic recognition system comprising: a belt conveyor comprising a single belt or a caterpillar; a roller conveyor for conveying the conveyor by rotating the conveyor roller without moving the conveyor itself; a trolley A conveyor, a wheel conveyor that arranges a plurality of beams and arranges a plurality of small rollers, and the like can be used.

Also, referring to FIG. 3, there may be a gap between the conveyors 220 on which the cargo 210 is placed. In the case of a belt conveyor, there is a space for placing articles such as a space between the metal plate and the metal plate constituting the belt, a space between the conveyor rollers in the case of the roller conveyor, and a roller or a space between the wheels in the case of the wheel conveyor.

At this time, it is preferable that the intervals between the conveyors are formed at intervals of 0.5 cm to 2 cm. If the separation distance is excessively narrowed to 0.5 cm or less, the image pickup speed may increase due to excessive shooting of the high-speed shooting module. If the separation distance is excessively widened to 2 cm or more, It may happen that it falls into the gap or gets stuck.

The high speed photographing module 230 photographs the cargo passing through the conveyor to generate cargo image information. At this time, the cargo image information refers to the image of the cargo first captured by the high-speed shooting module. Depending on the setting of the high-speed shooting module, only the cargo between the conveyors can be taken, or both the conveyor and the cargo can be photographed.

In addition, the high speed photographing module may include a line scan camera and lens for photographing the cargo, and a lighting unit 231 for photographing the line scan camera and the lens. At this time, the line scan camera and the lens can acquire images and images of 4k resolution or more.

Also, referring to FIG. 4, the high speed photographing module is located at the lower end of the conveyor, and can photograph the cargo and generate cargo image information through the interval between the conveyors. At this time, the object to be photographed by the high speed photographing module is the barcode of the invoice and the invoice attached to the bottom of the cargo.

In addition, the high-speed photographing module of the present invention is a portable movable structure, which is located at the lower end of the conveyor so that the height of the structure can be adjusted and separated. Accordingly, the high speed photographing module of the present invention can be flexibly applied according to the position and the infrastructure capable of recognizing the cargo in the delivery terminal.

Further, the high-speed photographing module of the present invention photographs the lower end of a cargo moving at a high speed at a maximum speed of 3 m / s through the interval between the conveyors. At this time, the high-speed photographing module of the present invention can be sufficiently applied to one photographing when the cargo recognition information is extracted from the cargo image information at one time, and it is also possible to photograph plural consecutive cargo image information have.

For example, when the size of the barcode attached to the invoice of the parcels is 1.5 cm and the interval between the conveyors is 2 cm, the high speed photographing module photographs the barcode portion at one time to generate the cargo image information, Can be directly extracted. When the first cargo having a size of 50 cm is laid on a roller conveyor at a speed of 1 m / s, the high-speed photographing module can take a total of five photographs at intervals of 0.1 second for 0.5 second. The plurality of cargo image information photographed in this way can be collected by a computing device, a display device, or an integrated management server to extract cargo identification information.

Particularly, in the case where the conveyor used in the courier cargo automatic recognition system of the present invention is a roller conveyor, since the interval between the rollers of the roller conveyor is necessarily existent, the cargo can be taken through the interval between the rollers. Since the roller conveyor does not move the conveyer itself like the belt conveyor but rotates the rollers included in the roller conveyor to transfer the cargo, the imaging field of the high-speed photographing module can be securely secured without being covered by the conveyor itself . Accordingly, even when one conveyor is used without photographing the camera between the plurality of conveyors and the conveyor, the courier cargo automatic recognition can be performed using the high speed photographing module. However, since the interval between the rollers of the roller conveyor is narrow, the captured cargo image information may be corrected and analyzed as described later.

Further, at least two or more of the high-speed photographing module of the present invention may be installed in the vertical direction in which the conveyor moves. If the width of the conveyor is excessively wide, the parcels may be scattered around the conveyor, so that it may be difficult to extract the cargo identification information from one high-speed photographing module. In addition, when the size of the courier moving through the conveyor is larger than a certain size, there may be a case where the cargo recognition information can not be properly extracted as one high speed photographing module. Therefore, depending on the size of the conveyor, You can install the module.

The illuminating unit 231 serves to illuminate the cargo. At this time, the illumination unit can be positioned at the lower end of the conveyor. In addition, the lighting unit is a coaxial white LED lighting unit of 4000 lumen or more in order to enable image capture in a line scan camera included in the high-speed photographing module, and has an air cooling type filter having a length of at least 520 mm, Can be designed to be mounted.

Further, the courier cargo automatic recognition system of the present invention may further include a sensor capable of recognizing the cargo. These sensors can be installed with the high-speed shooting module to detect whether or not the cargo passes over the high-speed shooting module. At this time, when the sensor recognizes the cargo, the high speed photographing module starts photographing the cargo, thereby preventing unnecessary photographing of the high speed photographing module.

The computing device 240 receives the cargo image information, extracts cargo recognition information, and transmits the cargo image information or the cargo recognition information to an external device or analyzes the information.

In this case, when the computing device analyzes itself, it recognizes the cargo identification information such as the barcode based on the recognition engine, extracts the barcode area in the preprocessed image through S / W, and enlarges and binarizes the extracted barcode area To extract the bar code. Further, it is possible to detect the direction and the thickness of the barcode, recognize the barcode pattern and the standard, and transmit the recognized barcode information to the integrated management server.

In addition, when transmitting to an external device, the barcode can be recognized by a separate barcode reader. This continuously displays the pre-processed image through the external monitor device, scans the barcode from the image displayed by the barcode reader, and transmits the barcode information to the integrated management server.

Such a computing device may include a frame grabber device that digitizes a cargo image information generated by a line scan camera included in the high speed photographing module and supports the image processing S / W in a processable manner. It is also possible to mount an image processing S / W for processing a plurality of pieces of cargo image information acquired by the high speed photographing module into a continuous image flow and extracting and recognizing cargo recognition information such as a barcode.

In addition, the computing device can collect the cargo image information, correct the collected cargo image information, and extract cargo recognition information from the corrected cargo image information. Referring to FIG. 6, since a part of the cargo passing through the conveyor is generally photographed even when the high-speed photographing module photographs the cargo, a plurality of cargo image information is acquired as a part of the section being broken, even if the whole cargo is photographed.

Therefore, after a plurality of cargo image information is collected to connect consecutively shot images and made into one cargo image information, there is a need to adjust the parts where the sink or the focus does not fit or remove the overlapping parts, . The computing device may extract the cargo identification information (ex: bar code, QR code, etc.) included in the cargo image information by itself after the cargo image information is corrected, and may transmit it to the external device, So that the recognition information can be extracted. At this time, when the computing device transmits the data to the external device, the computing device can transmit data information to the integrated management server, the display device, or the like through wireless communication through the wireless router.

When the computing device extracts the cargo identification information by itself, the computing device analyzes the extracted cargo identification information (e.g., bar code, QR code) and matches the cargo identification information with the corresponding cargo information. For example, if the cargo identification information of the 21016 08195 bar code is extracted from the cargo image information of the bottom of the delivery cargo, the contents such as <sender: Kim Seon Dal, recipient: Pyongyang Auditor, cargo contents: 2L of bottled water> And transmits the information to the integrated management server or the display device.

In addition, when the computing device extracts the cargo identification information from the cargo image information, the size of the area occupied by the cargo identification information may be too small even within the cargo image information. Therefore, after the cargo image information is enlarged by a predetermined magnification, Can be extracted. For example, if the cargo identification information included in the cargo image information is a 1 cm x 1 cm QR code, the cargo identification information is extracted after being enlarged to a size of 4 times the size, and extracted into a size of 4 cm x 4 cm. Therefore, the cargo information corresponding to the cargo identification information can be extracted and processed more efficiently.

The display device 250 receives the cargo image information or the cargo identification information from the computing device, and outputs the image. 7, the display apparatus of the present invention can directly output the cargo image information taken by the high speed photographing module, output the cargo recognition information extracted from the cargo image information, You can also output the information according to the format.

The display device processes a plurality of pieces of cargo image information through a computing device to output image data processed in a continuous image flow. Such a display device can be generally used such as a CRT, a CRF, an LCD, a flexible display, The present invention can be applied to all display devices having a display device.

In addition, the courier cargo automatic recognition system of the present invention may further include a display recognition device 252 for detecting the cargo recognition information output to the display device, and for matching and extracting the cargo recognition information and the corresponding cargo information.

When the computing device transmits a plurality of cargo image information taken by the high speed photographing module to the display device, the display device corrects the cargo image information and outputs the corrected cargo image information. The display recognition apparatus detects the cargo recognition information among the cargo image information output to the display device and extracts the cargo information corresponding to the cargo recognition information.

For example, the display recognition device may include a barcode scan unit, and includes an optical barcode reader. In order to minimize a portion where a barcode recognition error occurs due to a light refraction of a display device due to a monitor film, And the barcode can be recognized by the light of the display device itself.

In addition, the computing device can confirm whether the cargo recognition information is properly extracted through the secondary extraction through the display recognition device after extracting the cargo recognition information by itself. At this time, if the cargo information corresponding to the cargo recognition information is already extracted in the computing device, the display recognition device can compare the cargo information extracted by the display recognition device with the cargo information extracted by the computing device to determine whether or not the cargo is the same cargo have.

For example, if the cargo recognition information extracted by the computing device is 21016 08195 barcode, and the corresponding display receiver is Kim Sang-dal, recipient: Pyongyang auditor, cargo content: bottled water 2Ls, And the cargo identification information extracted by the display recognition device.

If the cargo identification information is identical to each other, it is transmitted to the computing device or the integrated management server that the cargo identification information has been correctly extracted. If the cargo identification information is different, the high speed photographing module and the computing device, It is possible to transmit the fact that there is an error and proceed to the additional shooting.

The integrated management server 260 receives the cargo identification information or the cargo information or the cargo image information from the computing device or the display device, and controls the integrated information on the cargo. Such an integrated management server may be designed to store and manage the cargo recognition information recognized by the display device and the cargo recognition information or the cargo information extracted by the computing device, including the integrated control unit, and to check the information in real time.

In addition, it can be designed to search and confirm the current status of freight freight, cargo image information, cargo identification information, and cargo information directly from an external management server through an application, Internet, and programs.

In addition, it is possible to implement a device that supports a separate device operation software and a user interface system to operate in a courier terminal environment.

The computing device, the display device, and the integrated management server may be implemented as a single computer or may be implemented as separate computers to transmit and receive information through wire / wireless communication.

The embodiments of the present invention described above are disclosed for the purpose of illustration, and the present invention is not limited thereto. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention.

110: Conventional courier cargo
111: Invoice attached to conventional courier
120: Conventional conveyor
130: Conventional courier cargo classifier
210: Courier Freight
211: Invoice attached to parcel delivery
212: Cargo identification information
220: Conveyor
230: High-speed shooting module
231:
240: computing device
250: display device
251: Cargo video or cargo identification information
252: Display recognition device
260: Integrated management server

Claims (23)

Roller conveyor;
A high speed photographing module for continuously photographing the cargo passing through the roller conveyor at the bottom of the roller conveyor to generate a plurality of cargo image information;
A computing device for receiving the cargo image information, extracting cargo recognition information, transmitting the cargo image information or the cargo recognition information to an external device, or analyzing the information;
Lt; / RTI &gt;
Wherein the high-speed photographing module photographs the cargo through a gap between the rollers of the roller conveyor,
Wherein the computing device collects the plurality of cargo image information, corrects the collected cargo image information, and extracts the cargo recognition information from the corrected cargo image information.
delete delete delete delete The method according to claim 1,
The roller conveyor includes:
Wherein the interval between the rollers is 0.5 cm to 2 cm.
delete The method according to claim 1,
The high-
And the cargo information attached to the lower end of the cargo is photographed.
delete The method according to claim 1,
The high-
Wherein at least two of the plurality of conveying units are installed in the vertical direction in which the conveyor is moved.
delete The method according to claim 1,
The computing device comprising:
Matching the extracted cargo identification information with corresponding cargo information, and transmitting the cargo information to the integrated management server.
The method according to claim 1,
The cargo recognition information includes,
And a bar code.
The method according to claim 1,
The computing device comprising:
And the cargo identification information is extracted by enlarging the cargo image information by a predetermined magnification.
The method according to claim 1,
A display device for receiving the cargo image information or the cargo recognition information from the computing device and outputting the image;
Further comprising the steps of:
16. The method of claim 15,
A display recognition device for detecting the cargo recognition information output to the display device and for matching and extracting the cargo recognition information and corresponding cargo information;
Further comprising the steps of:
17. The method of claim 16,
Wherein the display recognition device comprises:
A bar code recognition camera, and an optical scanner.
17. The method of claim 16,
Wherein the display recognition device comprises:
Wherein when the cargo information corresponding to the cargo recognition information is extracted in the computing device, the cargo information extracted by the display recognition device is compared with the cargo information extracted by the computing device to determine whether the cargo is the same cargo system.
The method according to claim 1,
An illumination unit illuminating the cargo;
Further comprising the steps of:
20. The method of claim 19,
The illumination unit includes:
Wherein the conveyor is located at the lower end of the conveyor.
The method according to claim 1,
A sensor for recognizing the cargo;
Further comprising the steps of:
22. The method of claim 21,
The high-
And the cargo is photographed when the sensor recognizes the cargo.
The method according to claim 1,
An integrated management server for receiving the cargo identification information or the cargo information from the computing device or the display device and controlling the information about the cargo;
Further comprising the steps of:

Images