CN112380889A - Goods label image processing system and method of crossed belt sorting equipment - Google Patents
Goods label image processing system and method of crossed belt sorting equipment Download PDFInfo
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- CN112380889A CN112380889A CN202011216161.6A CN202011216161A CN112380889A CN 112380889 A CN112380889 A CN 112380889A CN 202011216161 A CN202011216161 A CN 202011216161A CN 112380889 A CN112380889 A CN 112380889A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1413—1D bar codes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/0485—Check-in, check-out devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Abstract
The invention relates to a goods label image processing system and a method of crossed belt sorting equipment, wherein the goods sorting system comprises a goods image synthesis processing device, a conveying track, a camera and an image recognition module; the trolley carrying the goods is conveyed along the conveying direction by the conveying track, and the camera is arranged above the conveying track along the conveying direction of the conveying track; the output end of the camera is connected with the goods image synthesis processing device, and the shot image is transmitted to the goods image synthesis processing device; the cargo image synthesis processing device comprises a grouping module, a partitioning module, a definition judging module, a superposition module, an identification module and a comparison module. The invention realizes the intelligent sorting of the goods by clearly acquiring and identifying the goods label images, replaces manual operation, immediately solves the problems of high error rate, low sorting speed, high labor cost and the like in the prior art, realizes the effective storage and management of the goods and is convenient for the follow-up inquiry of after-sale information.
Description
Technical Field
The invention belongs to the technical field of logistics sorting, and particularly relates to a goods label image processing system and method with crossed sorting equipment.
Background
Among the prior art, carry out commodity circulation letter sorting to the goods and carry and rely on the manual work to sort mostly, especially to the great condition of single volume under the electricity merchant platform, also sort the kind of goods through the mode of artifical supplementary goods bar code generally, have that sorting speed is slow, produce the high scheduling problem of poor rate. In addition, in order to facilitate logistics tracking, after-sales and the like of the e-commerce platform, various goods need to be stored and managed, and are sorted and conveyed according to delivery requirements (such as delivery addresses, goods types and the like).
At present, goods are generally conveyed through a conveying belt during logistics sorting processing, a camera is erected above the conveying belt, and marks on the goods are shot through the camera. The problem that this kind of mode exists is mainly because the label that shoots in the goods removal process exists the fuzzy condition, can't guarantee correctly discerning.
Therefore, the problems of fuzzy shooting of goods labels, poor storage and management of goods logistics information and the like in the prior art are to be solved.
Disclosure of Invention
The invention aims to solve the technical problem of providing a goods label image processing system and method with crossed belt sorting equipment, which realize intelligent sorting of goods by clearly acquiring and identifying goods label images, replace manual operation, immediately solve the problems of high error rate, low sorting speed, high labor cost and the like in the prior art, realize effective storage and management of the goods and facilitate subsequent inquiry of after-sale information.
In order to solve the technical problems, the invention adopts a technical scheme that: the goods label image processing system of the cross belt sorting equipment is characterized in that: the goods classifying and sorting system comprises a goods image synthesis processing device, a conveying track, a camera and an image recognition module; the conveying track conveys the trolley loaded with goods along the conveying direction, and a plurality of cameras are arranged above the conveying track along the conveying direction of the conveying track;
the output end of the camera is connected with the goods image synthesis processing device, and the shot image is transmitted to the goods image synthesis processing device; the cargo image synthesis processing device comprises a grouping module, a partitioning module, a definition judging module, a superposition module, an identification module and a comparison module;
the grouping module receives images transmitted by the cameras and groups the images of the same cargo into a group;
the partitioning module receives the pictures sent by the grouping module, extracts the label part images M on the goods in the pictures, and partitions the label parts according to groups to form a plurality of partitioning area images M';
the definition judging module is used for judging the definition of each subarea area image M';
the superposition module is used for superposing and mixing the partitioned area image M' with the definition judged by the definition judging module so as to improve the definition;
the identification module is connected with the definition judging module and the superposition module and is used for identifying the information of the partitioned area image M' of which the definition is judged by the definition judging module or the image is superposed and mixed by the superposition module to obtain identification information;
the comparison module is used for comparing whether the identification information results of the same subarea image are consistent or not;
the identification information identified by the identification module is transmitted to the cross belt control device by the first transmission module.
Further, when the definition judging module judges that the definition result is higher than the threshold value, the partition area image M' is transmitted to the identification module, and the identification module identifies the information in the partition area image.
Further, when the definition judging module judges that the definition result is lower than the threshold value, the plurality of images of the same partition area are transmitted to the superposition module, and the plurality of images are transmitted to the identification module after being superposed and mixed.
Further, the identification module is connected with the comparison module, and the comparison module is used for comparing the identification results of the plurality of images in the same partition area.
Furthermore, the identification module is connected with the cross belt control device and used for conveying the signal of the cargo returning camera to the cross belt control device.
Further, a synthesizing module is included, which synthesizes the divisional region images M' of the label portion of the same cargo into one or more synthesized images N; and the synthesis module transmits the synthesized image N to the storage module through the second transmission module.
Further, the identification module is connected with the storage module through the first transmission module.
Furthermore, the side frame of the trolley is provided with identification characteristic blocks, and each trolley is provided with a group of identification characteristic blocks which only correspond to the trolley.
Further, the grouping module partitions the labels of the same group of pictures by using the same partitioning rule.
The invention also provides a goods label image processing method of the cross belt sorting equipment, which comprises the following steps:
step S1, the trolley carrying goods is conveyed along the conveying direction by the conveying track;
step S2, when the goods and the trolley are conveyed along the conveying track, a plurality of cameras above the conveying track shoot images of the goods and the trolley on the conveying track in sequence;
step S3, the camera transmits the shot image to a grouping module of the goods image synthesis processing device;
step S4, the grouping module groups the images of the same goods into a group;
step S5, the partition module receives the grouped pictures sent by the grouping module, extracts the label part image M on the goods in the pictures, and partitions the label part according to the grouping to form a plurality of partition area images M', and the labels of the same group of pictures are partitioned by adopting the same partition rule;
step S6, the definition judging module is used for judging the definition of each subarea image M';
step S601, when the definition judging module judges that the definition result is higher than the threshold value, transmitting the image M' of the partition area to the identification module, identifying the information in the image of the partition area by the identification module, transmitting the identified information to the comparison module, comparing the identification results of a plurality of images in the same partition area by the comparison module, transmitting the identification results to the synthesis module if the identification results are consistent, and re-identifying the information in the image by the identification module if the identification results are inconsistent;
step S602, when the definition judging module judges that the definition result is lower than the threshold value, transmitting a plurality of images of the same partition area to the superposition module, superposing and mixing the images and transmitting the superposed and mixed images to the identification module, identifying the superposed and mixed images by the identification module, and transmitting the identified result to the synthesis module; if the image processed by the superposition module still cannot meet the identification requirement, the identification module outputs an empty signal, the empty signal is transmitted to the cross belt control device, and the cross belt control device controls the position of the trolley returning camera to acquire the image again;
in step S7, the identification information identified by the identification module is transmitted to the cross-belt control device and the storage module by the first transmission module.
The advantages of the invention are as follows:
the goods label image processing system and the goods label image processing method of the crossed belt sorting equipment realize intelligent sorting of goods by clear acquisition and identification of goods label images, replace manual operation, immediately solve the problems of high error rate, low sorting speed, high labor cost and the like in the prior art, realize effective storage and management of the goods and facilitate subsequent inquiry of after-sale information.
Drawings
Fig. 1 is a block schematic diagram of a goods sorting system of the cross belt sorting apparatus of the present invention.
Fig. 2 is a schematic view of an image of a cart carrying goods photographed by a photographing module.
Fig. 3 is a block diagram of the cargo image composition processing device.
Description of reference numerals: 10-cargo image synthesis processing device, 11-conveying track, 12-camera, 14-first transmission module, 15-storage module, 16-trolley, 17-cargo, 18-identification characteristic block, 101-grouping module, 102-partitioning module, 103-definition judging module, 104-superposition module, 105-identification module, 106-comparison module, 107-synthesis module and 108-second transmission module.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be embodied in other specific forms than those described herein, and it will be apparent to those skilled in the art that the present invention may be practiced without departing from the spirit and scope of the present invention.
As shown in fig. 1, which is a block diagram of a goods sorting system of the cross belt sorting system according to the present invention, the goods sorting system includes a goods image synthesizing and processing device 10, a conveying rail 11, a camera 12, a first conveying module 14 and a storage module 15;
the conveying track 11 conveys a trolley 16 carrying goods 17 along a conveying direction, wherein the conveying direction can be from left to right in the figure 1 or from right to left in the figure 1; the goods label of the goods 17 has a bar code, sending information, receiving information, and the like. The plurality of cameras 12 are arranged above the conveying track 11 along the conveying direction of the conveying track 11, and when the goods 17 and the trolleys 16 are conveyed along the conveying track 11, the images of the goods 17 and the trolleys 16 on the conveying track 11 are sequentially shot by the plurality of cameras 12; the number of the cameras 12 is set according to the length of the conveying track 11, and in the embodiment, one camera 12 is arranged every 1 meter. As shown in fig. 2, identification feature blocks 18 are provided on the side frames of the carts 16, each cart 16 has a set of identification feature blocks 18 uniquely corresponding to the cart 16, and each identification feature block 18 is formed by a plurality of salient points with different positions or shapes and corresponds to each cart 16 one by one.
The camera 12 transmits the shot image to the cargo image synthesis processing device 10; the cargo image synthesis processing device 10 comprises a grouping module 101, a partitioning module 102, a definition judging module 103, an overlapping module 104, an identifying module 105, a comparing module 106, a synthesizing module 107 and a second transmission module 108; the grouping module 101 receives the images transmitted by the camera 12, and groups the images of the same cargo 17 into a group according to the identification feature block 18 on the trolley 16 in the images; the partitioning module 101 receives the pictures sent by the grouping module 101, extracts the label part images M on the goods in the pictures, and partitions the label parts according to the groups to form a plurality of partitioned area images M', and the labels of the same group of pictures are partitioned by using the same partitioning rule, for example, the labels are partitioned into a barcode area and a text area (the text area can be subdivided into an address area, a number area, and the like); the definition judging module 103 is configured to judge the definition of each partition region image M', and may adopt a Brenner gradient function, a Tenengrad gradient function, a Laplacian gradient function, or the like; when the definition judging module 103 judges that the definition result is higher than the threshold, the partitioned area image M' is transmitted to the identifying module 105, the identifying module 105 identifies information (barcode information or character information) in the partitioned area image, the identified information is transmitted to the comparing module 106, the comparing module 106 compares the identification results of a plurality of images of the same partitioned area, if the identification results are compared to be consistent, the identification results are transmitted to the synthesizing module 107, and if the identification results are compared to be inconsistent, the identifying module 105 re-identifies the information in the image; when the definition judging module 103 judges that the definition result is lower than the threshold, the images of the same partition area are transmitted to the superimposing module 104, the images are superimposed and mixed and then transmitted to the identifying module 105, the identifying module 105 identifies the superimposed and mixed images, and the identified result is also transmitted to the synthesizing module 107; if the image processed by the superposition module 104 still cannot meet the identification requirement, the identification module 105 outputs an empty signal, the empty signal is transmitted to the cross belt control device, and the cross belt control device controls the trolley 16 to return to the position of the initial camera to acquire the image again; the synthesis module 107 synthesizes the partitioned area images M' of the tag portion of the same goods into one or more synthesized images N, which are transmitted to the storage module 15 by the second transmission module 108 to save the tag images on the goods for data inquiry in the follow-up management and after-sales service.
The identification information identified by the identification module 105 is transmitted to the cross belt control device and the storage module 15 by the first transmission module 14, so that on one hand, the goods are classified by the identification information, the cross belt control device controls the trend of the corresponding goods, and on the other hand, the goods label information is stored by the storage module 15, thereby facilitating data management.
In addition, the camera 12 can shoot the identification feature block 18 on the side frame of the trolley 16 and the label of the goods together into an image, and each trolley 16 has the identification feature block 18 which is uniquely corresponding, so that the image obtained by the camera 12 above the conveying track 11 has the identification feature block 18, and the grouping module 101 can sort out the images of the same goods on the same trolley for grouping by comparing the identification feature blocks 18.
The invention relates to a goods classifying and sorting method of crossed belt sorting equipment, which comprises the following steps:
step S1, conveying the trolley 16 carrying the goods 17 along the conveying direction by the conveying rail 11;
step S2, arranging a plurality of cameras 12 above the conveying rail 11 along the conveying direction of the conveying rail 11, and sequentially shooting images of the goods 17 and the trolleys 16 on the conveying rail 11 by the plurality of cameras 12 when the goods 17 and the trolleys 16 are conveyed along the conveying rail 11;
step S3, the camera 12 transmits the captured image to the grouping module 101 of the cargo image composition processing device 10;
step S4, the grouping module 101 groups the images of the same cargo 17 into a group according to the identification feature block 18 on the trolley 16 in the image;
step S5, the partition module 101 receives the grouped pictures sent by the grouping module 101, extracts the label part image M on the goods in the pictures, and partitions the label part according to the grouping to form a plurality of partition area images M', and the labels of the same group of pictures are partitioned by the same partition rule;
in step S6, the sharpness determination module 103 is configured to determine the sharpness of each partition region image M';
step S601, when the definition judging module 103 judges that the definition result is higher than the threshold, transmitting the partitioned area image M' to the identifying module 105, identifying the information in the partitioned area image by the identifying module 105, transmitting the identified information to the comparing module 106, comparing the identification results of a plurality of images in the same partitioned area by the comparing module 106, transmitting the identification results to the synthesizing module 107 if the identification results are consistent, and re-identifying the information in the image by the identifying module 105 if the identification results are inconsistent;
step S602, when the definition judging module 103 judges that the definition result is lower than the threshold, transmitting the plurality of images of the same partition area to the superimposing module 104, superimposing and mixing the plurality of images, transmitting the superimposed and mixed images to the identifying module 105, identifying the superimposed and mixed images by the identifying module 105, and transmitting the identified result to the synthesizing module 107; if the image processed by the superposition module 104 still cannot meet the identification requirement, the identification module 105 outputs an empty signal, the empty signal is transmitted to the cross belt control device, and the cross belt control device controls the trolley 16 to return to the position of the initial camera to acquire the image again;
step S7, the combining module 107 combines the divisional area images M' of the label portions of the same cargo into one or more combined images N, which are transmitted to the storage module 15 by the second transmission module 108; the identification information identified by the identification module 105 is transmitted by the first transmission module 14 to the cross-belt control apparatus and storage module 15.
The foregoing detailed description is directed to a system and method for processing an image of a goods label of a cross-belt sorting apparatus, and specific examples are used herein to illustrate the principles and implementations of the present application, and the above descriptions of the embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. The utility model provides a goods label image processing system of cross area letter sorting equipment which characterized in that: the goods classifying and sorting system comprises a goods image synthesizing and processing device (10), a conveying track (11), a camera (12) and an image recognition module (13); the conveying track (11) conveys a trolley (16) loaded with goods (17) along the conveying direction, and a plurality of cameras (12) are arranged above the conveying track (11) along the conveying direction of the conveying track (11);
the output end of the camera (12) is connected with the goods image synthesis processing device (10) and transmits the shot image to the goods image synthesis processing device (10); the cargo image synthesis processing device (10) comprises a grouping module (101), a partitioning module (102), a definition judging module (103), an overlapping module (104), an identification module (105) and a comparison module (106);
the grouping module (101) receives the images transmitted by the camera (12) and groups the images of the same cargo (17) into a group;
the partitioning module (101) receives the pictures sent by the grouping module (101), extracts the label part images M on the goods in the pictures, and partitions the label parts according to groups to form a plurality of partitioning area images M';
the definition judging module (103) is used for judging the definition of each subarea area image M';
the superposition module (104) is used for superposing and mixing the partitioned area images M' after the definition is judged by the definition judging module (103) so as to improve the definition;
the identification module (105) is connected with the definition judging module (103) and the superposition module (104) and is used for identifying the information of the partition area image M' which is judged to be clear by the definition judging module (103) or superposed and mixed by the superposition module (104) to obtain identification information;
the comparison module (106) is used for comparing whether the identification information results of the same subarea area image are consistent;
the identification information identified by the identification module (105) is transmitted by a first transmission module (14) to a cross-belt control device.
2. The system for sorting goods by cross belt sorting system according to claim 1, wherein: when the definition judging module (103) judges that the definition result is higher than the threshold value, the subarea image M' is transmitted to the identifying module (105), and the information in the subarea image is identified by the identifying module (105).
3. The system for sorting goods by cross belt sorting system according to claim 1, wherein: when the definition judging module (103) judges that the definition result is lower than the threshold value, the images in the same partition area are transmitted to the superposition module (104), and the images are superposed and mixed and then transmitted to the recognition module (105).
4. The system for sorting goods by cross belt sorting system according to claim 2, wherein: the identification module (105) is connected with a comparison module (106), and the comparison module (106) is used for comparing the identification results of a plurality of images of the same partition area.
5. The goods sorting system of the cross belt sorting system according to claim 3, wherein: the identification module (105) is connected with the cross belt control device, and the identification module (105) is used for conveying a signal of the goods returning camera to the cross belt control device.
6. The goods sorting system of the cross belt sorting system according to claim 4 or 5, wherein: further comprising a compositing module (107), the compositing module (107) compositing the segmented region images M' of the label portions of the same good into one or more composite images N; the synthesis module (107) transmits the synthesized image N to the storage module (15) through the second transmission module (108).
7. The system for sorting goods by cross belt sorting system according to claim 1, wherein: the identification module (105) is connected with the storage module (15) through the first transmission module (14).
8. The system for sorting goods by cross belt sorting system according to claim 1, wherein: the side frames of the trolleys (16) are provided with identification characteristic blocks (18), and each trolley (16) is provided with a group of identification characteristic blocks (18) which are uniquely corresponding to the trolley (16).
9. The system for sorting goods by cross belt sorting system according to claim 1, wherein: and the grouping module (101) partitions the labels of the same group of pictures by adopting the same partitioning rule.
10. A goods label image processing method of cross belt sorting equipment is characterized by comprising the following steps:
step S1, conveying a trolley (16) loaded with goods (17) along the conveying direction by a conveying rail (11);
step S2, when the goods (17) and the trolley (16) are conveyed along the conveying track (11), a plurality of cameras (12) above the conveying track (11) shoot images of the goods (17) and the trolley (16) on the conveying track (11) in sequence;
step S3, the camera (12) transmits the shot image to a grouping module (101) of the goods image synthesis processing device (10);
step S4, the grouping module (101) groups the images of the same goods (17);
step S5, the partition module (101) receives the grouped pictures sent by the grouping module (101), extracts the label part image M on the goods in the pictures, and partitions the label part according to the grouping to form a plurality of partition area images M', and the labels of the same group of pictures are partitioned by adopting the same partition rule;
step S6, the definition judging module (103) is used for judging the definition of each subarea area image M';
step S601, when the definition judging module (103) judges that the definition result is higher than the threshold value, transmitting the partitioned area image M' to the identifying module (105), identifying the information in the partitioned area image by the identifying module (105), transmitting the identified information to the comparing module (106), comparing the identification results of a plurality of images in the same partitioned area by the comparing module (106), if the identification results are compared to be consistent, transmitting the identification results to the synthesizing module (107), and if the identification results are compared to be inconsistent, re-identifying the information in the image by the identifying module (105);
step S602, when the definition judging module (103) judges that the definition result is lower than the threshold, transmitting a plurality of images of the same partition area to the overlapping module (104), overlapping and mixing the plurality of images, transmitting the images to the identification module (105), identifying the images after overlapping and mixing by the identification module (105), and transmitting the identified result to the synthesis module (107); if the image processed by the superposition module (104) still cannot meet the identification requirement, the identification module (105) outputs an empty signal, the empty signal is transmitted to the cross belt control device, and the cross belt control device controls the trolley (16) to return to the position of the camera to acquire the image again;
in step S7, the identification information identified by the identification module (105) is transmitted to the cross belt control apparatus and the storage module (15) by the first transmission module (14).
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114130673A (en) * | 2021-10-14 | 2022-03-04 | 浙江菜鸟供应链管理有限公司 | Control method, device and equipment of sorting equipment and storage medium |
| CN116899913A (en) * | 2023-09-13 | 2023-10-20 | 龙基能源集团有限公司 | Sorting and recycling method, sorting and recycling system, server, storage medium and processing technology for agricultural and forestry waste |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007001989A1 (en) * | 2007-01-08 | 2008-07-10 | Siemens Ag | Arrangement e.g. for recognizing double copies in mail sorting plants, has side and projector which has light source projected across potential overlap of objects |
| CN101882224A (en) * | 2009-05-08 | 2010-11-10 | 财团法人工业技术研究院 | Method for reorganizing and identifying multiple images and image capturing and identifying system |
| CN207770327U (en) * | 2017-12-11 | 2018-08-28 | 山东新北洋信息技术股份有限公司 | sorting device |
| CN110096952A (en) * | 2019-03-20 | 2019-08-06 | 合肥名德光电科技股份有限公司 | A kind of artificial intelligence image processing system and its method for production line |
-
2020
- 2020-11-04 CN CN202011216161.6A patent/CN112380889A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007001989A1 (en) * | 2007-01-08 | 2008-07-10 | Siemens Ag | Arrangement e.g. for recognizing double copies in mail sorting plants, has side and projector which has light source projected across potential overlap of objects |
| CN101882224A (en) * | 2009-05-08 | 2010-11-10 | 财团法人工业技术研究院 | Method for reorganizing and identifying multiple images and image capturing and identifying system |
| CN207770327U (en) * | 2017-12-11 | 2018-08-28 | 山东新北洋信息技术股份有限公司 | sorting device |
| CN110096952A (en) * | 2019-03-20 | 2019-08-06 | 合肥名德光电科技股份有限公司 | A kind of artificial intelligence image processing system and its method for production line |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114130673A (en) * | 2021-10-14 | 2022-03-04 | 浙江菜鸟供应链管理有限公司 | Control method, device and equipment of sorting equipment and storage medium |
| CN116899913A (en) * | 2023-09-13 | 2023-10-20 | 龙基能源集团有限公司 | Sorting and recycling method, sorting and recycling system, server, storage medium and processing technology for agricultural and forestry waste |
| CN116899913B (en) * | 2023-09-13 | 2023-12-05 | 龙基能源集团有限公司 | Sorting and recycling method, sorting and recycling system, server, storage medium and processing technology for agricultural and forestry waste |
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Application publication date: 20210219 |