CN110732494A - Automatic identification and sorting method and system for AI-based plain boxes - Google Patents
Automatic identification and sorting method and system for AI-based plain boxes Download PDFInfo
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- CN110732494A CN110732494A CN201910530758.9A CN201910530758A CN110732494A CN 110732494 A CN110732494 A CN 110732494A CN 201910530758 A CN201910530758 A CN 201910530758A CN 110732494 A CN110732494 A CN 110732494A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/04—Sorting according to size
- B07C5/08—Sorting according to size measured electrically or electronically
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Discharge Of Articles From Conveyors (AREA)
Abstract
The invention discloses an automatic identification and sorting method and system for plain boxes based on AI, which comprises a position identification module used for tracking the specific position of each plain box through a position sensor, a counting coding module used for registering and distinguishing each plain box after identification, and a triple identification module comprising an AI intelligent identification module, a mechanical vision identification module and an RFID scanning module, wherein the triple identification module is used for accurately identifying the shape, the size, the color and the material of the plain box, can accurately identify and sort the plain box, can identify the shape, the size, the color and the material according to the mechanical vision identification, is convenient for transporting confidential accessories and the like, makes up the identification conditions of bar codes, two-dimensional code abrasion and the like, can record a sample plate through the mechanical vision identification and the AI intelligent identification library package when the traditional external package, the soft package and the special-shaped package can not be normally read and identified, and then realizes the function similar to the face identification of goods.
Description
Technical Field
The invention belongs to the technical field of article sorting, and particularly relates to automatic identification and sorting methods and systems for plain boxes based on AI, and particularly relates to a automatic identification and sorting system for plain boxes based on AI.
Background
The rapid development of the e-commerce promotes the rapid development of the express delivery industry, however, along with the richness of the commodities, the packaging types of the commodities are various, and the commodities need to be sorted and packaged.
The invention relates to an intelligent RFID-based packing case article conveying, sorting and testing system with a patent number of 201510724314.0, in particular to an intelligent RFID-based packing case article conveying, sorting and testing system which relates to material handling systems, in particular to material handling systems for classifying random, different types and different destination articles according to requirements (according to different product types or different product destinations).
Disclosure of Invention
The invention aims to provide automatic identification and sorting methods and systems for AI-based plain boxes, so as to solve the problem that the prior art cannot accurately identify and sort plain boxes without any marks.
In order to achieve the purpose, the invention adopts the following technical scheme:
A method for automatically identifying and sorting AI-based plain boxes, comprising the following steps:
s1, placing the plain boxes to be identified and sorted on a feeding transmission line at intervals in sequence, and transmitting the plain boxes to an identification area in sequence by using the feeding transmission line;
s2, performing triple recognition on the characteristics of each pixel boxes through an AI intelligent recognition module, a mechanical vision recognition module and an RFID scanning module of the recognition area, and performing recording analysis to judge the specific data content of the pixel boxes;
s3, coding and recording each identified element boxes through a counting coding module, and positioning and tracking each coded element boxes through a position identification module;
s4, setting the corresponding box characteristics on each material distribution slide ways, and recording the characteristics into a control center;
s5, transporting the element boxes through the transfer transmission line, judging whether the identification characteristics of the element boxes are or not when the element boxes pass through the branch transmission line, if or not, starting the corresponding branch transmission line to transmit the element boxes to the corresponding branch slide way, and if not , continuing to transmit the element boxes by using the transfer transmission line until the element boxes move to the branch transmission line with characteristics and then transmit the element boxes to the corresponding branch slide way.
Preferably, in S1, the identification region is disposed at the upper end of the feeding line, and is mounted across the feeding line, and the spacing between the element boxes when the element boxes are placed on the feeding line is not less than 1.5 times the length of the element boxes.
Preferably, in S5, each groups of branch conveying lines correspond to groups of material distributing slideways, five groups of branch conveying lines are provided, five groups of technical characteristic results of identification area identification determination are also provided, and the technical characteristic results of identification area identification determination correspond to the set characteristics of the branch conveying lines.
The invention also provides AI-based automatic plain box identification and sorting system, which comprises
A position identification module comprising position sensors disposed on the side of the upper rack and the side of the transfer rack , through which position sensors are used to track the specific position of each bin;
the counting coding module is used for registering and distinguishing every pixel boxes after identification, so that confusion is avoided, and counting is facilitated;
the system comprises a triple identification module, a wireless communication module and a wireless communication module, wherein the triple identification module comprises an AI intelligent identification module, a mechanical vision identification module and an RFID scanning module; the AI intelligent recognition module comprises an AI intelligent recognition library and an AI intelligent algorithm, and the shape, the size, the color and the material of the plain box can be conveniently and accurately recognized through the triple recognition module;
the position identification module, the counting coding module and the triple identification module are respectively connected with a control center, and the control center is respectively connected with the power motor electric control ends of the feeding transmission line, the transferring transmission line and the lane dividing transmission line through connecting lines.
Preferably, an th flexible conveyor belt is arranged at the upper part of the feeding conveying line, a second flexible conveyor belt is arranged at the upper part of the transferring conveying line, and the end of the feeding conveying line is perpendicular to the end of the transferring conveying line.
Preferably, the end of the transfer line is provided with a buffer baffle.
Preferably, the material distributing slide way is arranged at the end of the material distributing transmission line, and the material distributing slide way is arranged in an arc structure.
Preferably, the control center is set as a PLC controller.
Compared with the prior art, the method and the system for automatically identifying and sorting the plain boxes based on the AI have the following advantages that:
1. the plain box (without any character identification, two-dimensional code and bar code) is accurately identified and sorted, and can be identified from shape, size, color and material according to mechanical vision identification, so that confidential accessories and the like can be conveniently transported, and the identification conditions of abrasion of the bar code and the two-dimensional code and the like are compensated;
2. the traditional outer package, the soft package and the special-shaped package can not be read and identified normally, a mechanical visual identification and AI intelligent identification library can be used for inputting a package sample plate, and then the function similar to the face identification of goods is realized, so that the identification accuracy is improved.
Drawings
FIG. 1 is a top view of the AI-based bin auto-identification and sorting system apparatus of the present invention;
FIG. 2 is a side view of the AI-based bin auto-identification and sorting system apparatus of the present invention;
FIG. 3 is a block diagram of the AI-based bin auto-identification and sorting system of the present invention;
FIG. 4 is a flow chart of the AI-based bin auto-identification and sorting method of the present invention.
In the figure, the device comprises a feeding conveying line 1, a flexible -th conveying belt 2, an identification area 3, a transfer conveying line 4, a second flexible conveying belt 5, a buffer baffle 6, a lane dividing conveying line 7 and a lane dividing slideway 8.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is to be understood that the described embodiments are only partial embodiments , rather than complete embodiments.
The invention provides an automatic identification and sorting method for AI-based element boxes, which comprises the following steps:
s1, sequentially placing the plain boxes to be identified and sorted on the feeding transmission line 1 at intervals, and sequentially transmitting the plain boxes to the identification area 3 by using the feeding transmission line 1;
s2, performing triple recognition on the characteristics of each pixel boxes through an AI intelligent recognition module, a mechanical vision recognition module and an RFID scanning module in the recognition area 3, and performing recording analysis to judge the specific data content of the pixel boxes;
s3, coding and recording each identified element boxes through a counting coding module, and positioning and tracking each coded element boxes through a position identification module;
s4, setting the corresponding box characteristics on each distribution slideways 8, and recording the characteristics into a control center;
s5, transporting the pixel boxes through the transfer transmission line 4, judging whether the identification characteristics of the pixel boxes are equal to set on the current branch transmission line 7 or not when the pixel boxes pass through the branch transmission line 7, if the identification characteristics of the pixel boxes are equal to , starting the corresponding branch transmission line 7 to transmit the pixel boxes to the corresponding branch slide way 8, and if the identification characteristics of the pixel boxes are not equal to , continuously transmitting the pixel boxes by using the transfer transmission line 4 until the pixel boxes move to the branch transmission line 7 with characteristics of , and then transmitting the pixel boxes to the corresponding branch slide way 8.
In S1, the identification area is arranged at the upper end of the feeding transmission line 1 and is installed on the feeding transmission line 1 in a crossing mode, the spacing between the pixel boxes when the pixel boxes are placed on the feeding transmission line 1 is not smaller than 1.5 times of the length of the pixel boxes, in S5, each groups of branch transmission lines 7 correspond to groups of branch material slideways 8, five groups of branch transmission lines 7 are arranged, the technical characteristic result of identification and judgment of the identification area is also provided with five groups, and the technical characteristic result of identification and judgment of the identification area 3 corresponds to the characteristic set by the branch transmission lines 7.
The AI-based automatic element box identification and sorting system corresponding to the method comprises
The device comprises a position identification module, a counting coding module and a triple identification module, wherein the position identification module comprises position sensors which are arranged on the loading frame side and the transfer frame side and used for tracking the specific position of each pixel box through the position sensors, the counting coding module registers and distinguishes each pixel box after identification, confusion is avoided, counting is facilitated, the triple identification module comprises an AI intelligent identification module, a mechanical vision identification module and an RFID scanning module, the AI intelligent identification module comprises an AI intelligent identification library and an AI intelligent algorithm, the shape, the size, the color and the material of the pixel box can be accurately identified through the triple identification module, the position identification module, the counting coding module and the triple identification module are respectively connected with a control center, and the control center is respectively connected with the power motor electric control ends of the loading transmission line 1, the transfer transmission line 4 and the lane dividing transmission line 7 through connecting lines.
The upper portion of material loading transmission line 1 is provided with flexible conveyor belt 2, the upper portion of transporting transmission line 4 is provided with second flexible conveyor belt 5, the end of material loading transmission line 1 sets up with the end of transporting transmission line 4 is perpendicular, the end of transporting transmission line 4 is provided with buffer baffle 6, the end of transporting transmission line 4 sets up with the end of lane transmission line 7 is perpendicular, divide material slide 8 to set up at the end of lane transmission line 7, and divide material slide 8 to set up to the arc structure, the control center sets up to the PLC controller.
The automatic identification and sorting method and system based on AI can accurately identify and sort the plain box (without any character identification, two-dimensional code and bar code), can identify the shape, size, color and material according to the machine vision identification, is convenient for transporting confidential accessories and the like, makes up the identification conditions of the bar code, two-dimensional code abrasion and the like, can input the packaging sample plate through the machine vision identification and AI intelligent identification library for the traditional external packaging, soft packaging and special-shaped packaging which can not be normally read and identified, and then realizes the function of human face identification similar to goods, thereby improving the identification accuracy.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (8)
1, AI-based automatic identification and sorting method, which is characterized by comprising the following steps:
s1, placing the plain boxes to be identified and sorted on a feeding transmission line at intervals in sequence, and transmitting the plain boxes to an identification area in sequence by using the feeding transmission line;
s2, performing triple recognition on the characteristics of each pixel boxes through an AI intelligent recognition module, a mechanical vision recognition module and an RFID scanning module of the recognition area, and performing recording analysis to judge the specific data content of the pixel boxes;
s3, coding and recording each identified element boxes through a counting coding module, and positioning and tracking each coded element boxes through a position identification module;
s4, setting the corresponding box characteristics on each material distribution slide ways, and recording the characteristics into a control center;
s5, transporting the element boxes through the transfer transmission line, judging whether the identification characteristics of the element boxes are or not when the element boxes pass through the branch transmission line, if or not, starting the corresponding branch transmission line to transmit the element boxes to the corresponding branch slide way, and if not , continuing to transmit the element boxes by using the transfer transmission line until the element boxes move to the branch transmission line with characteristics and then transmit the element boxes to the corresponding branch slide way.
2. The AI-based automatic distinguishing and sorting method of claim 1, wherein in S1, the distinguishing area is provided at the upper end of the feeding line, mounted across the feeding line, and the spacing between the boxes when placed on the feeding line is not less than 1.5 times the length of the boxes.
3. The AI-based automatic distinguishing and sorting method of boxes according to claim 1, wherein in S5, each component lane transmission line corresponds to component material chutes, five groups of lane transmission lines are provided, five groups of technical characteristic results of distinguishing region distinguishing determination are provided, and the technical characteristic results of distinguishing region distinguishing determination correspond to the characteristics set by the lane transmission line.
The AI-based automatic bin identification and sorting system of claim 1 further comprising
A position identification module comprising position sensors disposed on the side of the upper rack and the side of the transfer rack , through which position sensors are used to track the specific position of each bin;
the counting coding module is used for registering and distinguishing every pixel boxes after identification, so that confusion is avoided, and counting is facilitated;
the system comprises a triple identification module, a wireless communication module and a wireless communication module, wherein the triple identification module comprises an AI intelligent identification module, a mechanical vision identification module and an RFID scanning module; the AI intelligent recognition module comprises an AI intelligent recognition library and an AI intelligent algorithm, and the shape, the size, the color and the material of the plain box can be conveniently and accurately recognized through the triple recognition module;
the position identification module, the counting coding module and the triple identification module are respectively connected with a control center, and the control center is respectively connected with the power motor electric control ends of the feeding transmission line, the transferring transmission line and the lane dividing transmission line through connecting lines.
5. The AI-based automatic distinguishing and sorting system according to claim 4, wherein the feeding line has a th flexible conveyor belt on the top and a second flexible conveyor belt on the top, and the end of the feeding line is perpendicular to the end of the transfer line.
6. The AI-based automatic distinguishing and sorting system according to claim 4, wherein the end of the transit line is provided with a buffer stop, and the end of the transit line is perpendicular to the end of the lane line.
7. The kind of AI-based automatic identification and sorting system of claim 4, wherein the material separating slide is disposed at the end of the separating transmission line and the material separating slide is disposed in an arc-shaped structure.
8. The AI-based bin automatic identification and sorting system according to claim 4, wherein the control center is configured as a PLC controller.
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| CN201910530758.9A CN110732494A (en) | 2019-06-19 | 2019-06-19 | Automatic identification and sorting method and system for AI-based plain boxes |
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| CN201910530758.9A CN110732494A (en) | 2019-06-19 | 2019-06-19 | Automatic identification and sorting method and system for AI-based plain boxes |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113680693A (en) * | 2021-08-23 | 2021-11-23 | 贵阳铝镁设计研究院有限公司 | Novel intelligent detection classification chain conveyor system |
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| JPH09113454A (en) * | 1995-10-19 | 1997-05-02 | Yamamoto Mfg Co Ltd | Grain sorting machine |
| CN102107187A (en) * | 2009-12-24 | 2011-06-29 | 大连水产学院 | Image identifying and sorting device |
| CN102161040A (en) * | 2011-01-14 | 2011-08-24 | 北京交通大学 | Logistic sorting system based on color sensor |
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