NZ240172A - Computerised detection and identification of multiple labels in a field of view - Google Patents
Computerised detection and identification of multiple labels in a field of viewInfo
- Publication number
- NZ240172A NZ240172A NZ240172A NZ24017291A NZ240172A NZ 240172 A NZ240172 A NZ 240172A NZ 240172 A NZ240172 A NZ 240172A NZ 24017291 A NZ24017291 A NZ 24017291A NZ 240172 A NZ240172 A NZ 240172A
- Authority
- NZ
- New Zealand
- Prior art keywords
- field
- image
- label
- labels
- machine vision
- Prior art date
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Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
- G09F3/00—Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
- G09F3/02—Forms or constructions
- G09F3/0297—Forms or constructions including a machine-readable marking, e.g. a bar code
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Character Discrimination (AREA)
- Image Analysis (AREA)
- Warehouses Or Storage Devices (AREA)
- Sorting Of Articles (AREA)
- Preparation Of Compounds By Using Micro-Organisms (AREA)
- Physical Or Chemical Processes And Apparatus (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Description
Patents Form # 5
240172
NEW ZEALAND
Patents Act 1953
COMPLETE SPECIFICATION
AFTER PROVISIONAL NO: 240172 DATED: 9 October 1991 TITLE: Identification System
, ^ * T £
I/We,: Kiwisoft Programs limited
Address: Walker Building, Central Park, 666 Great South Road, Penrose,
Auckland 5, New Zealand Nationality: New Zealand hereby declare the invention, for which I/we pray that a patent may be granted to me/us, and the method by which it is to be performed, to be particularly described in and by the following statement:
PF05JWP
FEE CODE-1050
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ABSTRACT OF THE DISCLOSURE
An identification system involves the labeling then tracking of grouped items such as logs, shipping containers, or packets of mail and reporting the current location of identified items during transport, processing, and storage. Machine-readable labels are provided, adapted for recognition and reading from within a cluttered scene. These 10 labels have bordering indicia - used for locating purposes - distinguishable from inner informative indicia. Bordering indicia include either a series of small substantially similar marks like filled or hollow ovals, or one circle, or part of a circle, or a sequence of locating symbols or characters. Informative indicia include dots, bars, rings, or regional text characters. Multiple coding methods and spatial (e.g. Latin Square) 15 replication of indicia are used to minimize errors. A machine-vision image decoder comprises a high-resolution camera adapted for field use and a remote image processing computer to analyze the image and make reports listing or showing items within the image as identified by labels.
FIELD
This p&tent relates to digital image acquisition and subsequent recognition and decoding of machine-readable characters and/or coded indicia printed onto labels to be affixed to, or printed directly onto fixed or transportable objects.
BACKGROUND ,
Although a number of systems exist for providing one-by-one identification of data carried on passing objects or identifying locations of objects and then acting on the information found, (such as at the point of sale in a supermarket) there is still a need for 35 a system capable of coping in one single capture action with a array of items that
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have come together at some point - which may be outdoors - in a storage or distribution network. Preferably analysis and reporting are also fully integrated into the system.
For example, there is a need for firstly the identification and secondly the convenient and preferably automatic recording of logs and processed timber at various points during transportation, processing, and storage.
It is an object of this invention to provide an improved automatic identification and location-tracking system for objects viewed against complex backgrounds, or at least to provide the public with a useful choice.
STATEMENT OF INVENTION
In one aspect the invention provides a method of identifying one or more items at a site, comprising the steps of: labelling each of said one or more items with a unique machine-readable label, said label carrying a data matrix data field readable by machine vision reading equipment, said data matrix field containing information-carrying indicia, and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said items, recording at least one image of the area of the field of view able to be read by said machine vision reading equipment, converting the image into a computer-compatible form, applying machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and decoding the information-carrying indicia in the or each data field to identify the or each item.
In another aspect the invention provides a method of identifying one or more logs at a site, comprising the steps of: labelling each of said one or more logs with a unique machine-readable label, said label carrying a data matrix data field readable by machine vision reading equipment, said data matrix field containing information-carrying indicia, and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said logs, recording at least one image of the area of the field of view able to be read by said machine vision reading equipment, converting the image into a computer-compatible form, applying machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and decoding the information-carrying indicia in the or each data field to identify the or each log.
In a still further aspect the invention consists in an identification system to identify one or more items at a site, comprising; a plurality of unique labels capable of being applied to an item, each said label carrying a data matrix data field readable by machine vision reading equipment, and said data matrix data field containing information-carrying indicia; machine vision reading equipment to read said labels and the area of the field of view able to be read by said machine vision reading equipmen1 ain a
OBJECT
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substantial number of said items; recording means to record at least one image of the area of the field of view able to be read by said machine vision reading equipment; converting means to convert the image into a computer-compatible form, and a computer to apply machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and to decode the information-carrying indicia in the or each data field to identify the or each item.
In a still further aspect the invention consists in an identification system to identify one or more logs at a site, comprising; a plurality of unique labels capable of being applied to a log, each said label carrying a data matrix data field readable by machine vision reading equipment, and said data matrix data field containing information-carrying indicia; machine vision reading equipment to read said labels and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said logs; recording means to record at least one image of the area of the field of view able to be read by said machine vision reading equipment; converting means to convert the image into a computer-compatible form, and a computer to apply machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and to decode the information-carrying indicia in the or each data field to identify the or each log.
The identification label or symbol of this invention and/or the identification method of this invention are particularly suited to the labeling and tracking of groups of items such as logs. In the preferred embodiments of this invention logs are preferably initially identified at one or both ends with a unique label at a station, by ownership, location, handler, type, or quality. The unique label can carry information acting as an index to a data base. The image capture stage may be required during loading of a ship.
Other applications include the locating of items in a warehouse, from small boxes up to shipping containers, or the identification of passing vehicles from a distance or identification of fixed bin areas in a warehouse. On an item-by-item basis the system can be applied to mail at sorting stations where it can also serve to track mail during distribution.
Information derived from such a system may be used to categorize shipments, to prepare processing stations, or to pinpoint the whereabouts of each of many items during transport operations or in storage. Accurate identification can aid in efficient operation and production management and can help reduce stock loss.
The following embodiments are given by way of example only and are not intended to be limiting on the scope of the invention. Many variations or equivalents will be apparent to those skilled in the art.
DRAWINGS
In the description of the drawings, reference will be made to fillec
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black circles, ovals, or triangles. However, the blackness is illustrated in the following figures with shading.
Figure 1: This diagram shows a typical arrangement of mobile camera platform, and a bundle of labeled logs, at the time of image capture in a dockside environment.
Figure 2 This diagram shows the contents of a single entire captured image, showing a bundle of bunted logs on a stacking cradle.
Figure 3: This diagram shows examples of encoded labels with an outer fixed circular frame, about a concentric form of barcode markings. The lower label shows an example of a circular barcode label having information corresponding to that of Figure 4 and Figure 5. Each label has an outer black control ring, a middle black control ring, and a central black point. Black and white lines have equal thickness in the preferred coding scheme.
Figure 4: This diagram shows an encoded label, which contains alphanumeric identification code, duplicated in a partial Latin Square form, with an orientation-providing row of open circles above the information-carrying indicia, and a surrounding frame of circular shape.
Figure 5: This diagram shows an example of an alphanumeric encoded label having a frame of open and closed ovals arranged along straight lines which uniquely locate the outside of the label and specify the orientation of the label. The identification code within the label consists of nine alphanumeric characters and the code is repeated three times in a partial Latin Square form with spatial redundancy so that within any three columns the complete number appears.
Figure 6: This diagram shows an encoded label which contains alphanumeric codes and also a coded pattern of short and long bars incorporating parity bits and spatial redundancy within individual codes (each code accompanied by a complement of itself alongside) and with an outer frame of a pattern of symbols around both types of codes. The code is repeated three times in a partial Latin Square form with spatial redundancy so that within any three columns the complete number apjggf|&N? q
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Figure 7: This diagram shows an example label containing both alphanumeric codes and also patterned dots incorporating parity and spatial redundancy within individual codes and with an outer frame of a pattern of symbols around both types of codes. Each line contains a rotated set of codes so that within any three character columns the complete number appears.
This example - as does Figures 3, 8 and 9 - also provides a conventional bar code holding the same information, with text, outside the border. This is useful where goods may also need to be tracked with a conventional bar code, as read by a hand reader or in other existing ways. It is also useful where an existing bar code system is to be run in parallel, at least during a transition period.
Figure 8: This diagram shows an encoded label which contains both alphanumeric codes and also a coded pattern of short and long bars incorporating parity and spatial redundancy within individual codes (a complement of the code alongside) and with an outer frame of symbols (triangles in both open and closed styles) around both types of codes. The code is repeated three times in a Latin Square form with spatial redundancy so that within any three columns the complete number appears.
Figure 9: This diagram shows an example of an alphanumeric encoded label which uses a frame of open and closed ovals which uniquely locate the outside of the label and specify the orientation of the label. The identification code within the label consists of eight alphanumeric characters and the code is repeated eight times in a complete Latin Square form with spatial redundancy so that within any column and most sub-areas containing 8 characters, the complete identification code appears.
Figure 10: This diagram shows an example of a user-printable label having a border; a line forming a circle, and an orientation indicium which is shown as a row of open ovals. This is a pre-printed label to which information-carrying indicia may be added by the user at the time of use - such as at the time of item classification.
Figure 11: This diagram shows an example of an alphanumeric encoded label without informative indicia; having a frame of open and closed ovals which surrounds a blank information-carrying space; this is another pre-printed label. This label also bears registration marks to aid in accurate location of indicia.
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Figure 12: This example label illustrates a mixture of two codes; one human-readable and one machine-readable, mixed together within a 3 x 9 modified Latin square replication. The bar-code marking below may be used to (for example) aid in the transition from an older recording method.
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PREFERRED EMBODIMENTS
EXAMPLE APPLICATION USING CIRCULAR ENCODED LABELS
In one embodiment circular encoded labels are used in identifying objects during or after handling, such as the ends of rods, pipes, bottles or logs which have no normal single positional (rotational) orientation.
In this example we prefer to use fixed-width rings as a representation for a number. An outermost set of three rings has preferably the radially second of the three shaded in a color contrasting with the other two rings to provide a frame of reference for locating the circular encoded label within a complex image.
Optionally, additional control rings can be used for error checking purposes. For example the black border ring (represented by shading) can be an outer control ring, there can be a middle control ring, and a central control point The software uses these as checks that the symbol has been scanned correctly.
An application for such a circular encoded label is the identification of logs and subsequent automatic recognition of the log by locating the circular frame and reading the circular encoded label.
As each log is documented on arrival at a marshaling yard a seven digit number is assigned to the log. A computer generates copies of a label, perhaps an 18 cm diameter circular black barcode pattern of the number on a sheet of white plastic. Label indicia are as indicated in Figure 3. In this example individual rings are 3 mm wide. The plastic sheets are then stapled preferably to both ends of the appropriate log.
When a grab subsequently picks a load of logs and carries them across to load on a ship or truck for shipment, die grab is routed across a recording area first The recording area positively forces the grab to move to the scanning position where the grabber is then stopped by blocks. A set of flood lights is then automatically turned on and one end of the set of logs is scanned with all logs in the jaws of the grab being scanned at once. At the end of the scan, the lights axe turned off and the blocks are removed. The grab then
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proceeds to deliver the logs to the truck or ship.
Alternatively, and as shown in Figures 1 and 2, a mobile recording platform 13 mounted on a vehicle 10 equipped also with flood lights 15, a power source 16, dual camera/rangefinder units 19, and a computer 17 coupled to a control box 14 may be used to approach a bundle of logs 12,202, previously placed on a cradle 201 by a grab and preferably bunted by a mobile ram into approximate alignment. The recording platform captures an image or a composite image 200 of one end, then moves to the other end and captures a second image. The information is transmitted by wireless 18 to a remote analysis station.
A typical image holds a content similar to that of Figure 2, though with more background clutter. The image 200 has sufficient resolution to allow decipherment of each label 204 on each item (here logs, 202). A label of the type used in this drawing is reproduced as Figure 4. Preferably the cradle 201 also bears identifying visual or wireless sensing indicia such as bar codes or radio identification tags 203 in order to locate the whereabouts of the items at the time of recording. Note that the preferred pixel density is much finer than the squares included in the pattern used to indicate wood at the end of each log. A typical line-scan camera has a 3456-photodiode CCD linear array giving 3456- pixel columns, and preferably 11,200 rows are assembled for one image. A typical area-capture camera has a 4096 x 4096 photodiode CCD array giving 4096 pixel columns and 4096 rows in each captured image taken of a section of the cradle and assembled into a full picture of the cradle.
The entire scanned image is analyzed by computer to locate all label frames and identify the logs based on the information within each label. In the case of circular barcodes (300,301), the circularity of the encoded label provides redundancy of information by allowing several alternative values to be calculated from analysis of different radial segments. In the case of alphanumeric codes, the indicia representing the code are repeated several times. A Latin Square replication method is preferred, as it is statistically sound. Multiple redundancy provides safeguards against information loss due to degradation of the encoded label due to dirt or other contamination or CCD element failures. Multiple code types provide safeguards against misinterpretation by a single analysis routine.
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The captured image is compressed and transmitted by radio 18 to a remote computer station (not shown) for storage, subsequent analysis, and later viewing. An analysis computer program automatically retrieves the stored image, analyses the image and generates a file of decoded identification codes for the image.
According to this invention, pre-printed labels might be supplied with markings as in the example of Figure 10, and on a preferred type of paper material. One such preferred material is a plastics-filled paper with a matt surface, which tolerates the heat applied during toner fusing during laser printing. This label, 1001, has a line forming a circle, and an orientation indicium 1002 which is the row of open ovals which is intended to lie above the information-carrying indicia.
Alternatively one might use a pre-printed label 1100 in the style of Figure 11 which has compact indicia 1102 as a border. Again, a row of open ovals 1103 serves as an orientation mark. This label also bears registration marks 1101 to aid in accurate location of the information bearing indicia represented by grid 1101.
EXAMPLE APPLICATIONS USING ALPHANUMERIC AND MARK CODES
Figure 4 shows alphanumeric characters (it is the label shown as 204 in Figure 2) inside a circular frame or border 400. While the border itself does not indicate the orientation of the information, a secondary border comprising a row of open ovals above the text does.
The embodiments as shown in Figures 4 to 9 and 12 employ labels having alphanumeric identification codes and incorporating spatial redundancy. Those of Figures 5,7, 9 and 12 are each surrounded by a frame comprising a series of open and closed ovals. Figure 6 uses a border composed of characters, and Figure 8 uses open and closed triangular symbols. Our order of preference for frame indicia in terms of computer recognition suitability is ovals, then triangles, then characters. Figure 12 illustrates a label 1200 containing a mixture of code types 1201 within a 3 x 9 modified Latin square spatial replication.
Any of the labels of Figures 3 to 9 or Figure 12 are suitable for use in identifying
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objects during or after handling such as, individual or groups of logs, pallets of timber, and individual or stacks of boxes.
The small repetitive characters preferred for our border indicia are easy to recognise by means of machine-vision algorithms scanning a large array systematically, looking for identifiable labels. The series of indicia - or even arcs or a complete circle - are preferable to straight line frames because they define the whereabouts of the accompanying information more clearly and because they are easier to locate than straight lines. Arcs can be located from the analysis of only two rows or columns; lines require more rows and columns and also end-points to distinguish them from arcs. For instance, single straight lines are hard to locate, are commonly found in image backgrounds, and the site of the information is still possibly on one side or the other. Pattern-matching algorithms, for example, can be used to locate distinctive characters such as these which are chosen at least in part for their relative rarity in the world outside one or more labels. Ovals and more so triangles intrinsically indicate orientation.
In the case of this illustrative example, (and in particular for the case of circular coded labels as shown in Figure 3) the attached labels 204 are to be differentiated from growth rings of the logs 202 by (a) being within a frame of circles of contrasting color, and (b) having a greater contrast than growth rings have.
The encoded alphanumeric labels 400,500,700 and 900 use a row of open circles or ovals, such as the number '0', above a row containing the identification code. 800 uses triangles. On the ends of the row containing the identification code, a filled shape such as a filled '0' is preferably used as part of the frame. Except for 900, two additional code lines are printed below which contain the identification code in rotated spatial order and with the filled circles or ovals on the end. Below the third identification row, a row of filled symbols (part of the frame) is placed to positionally identify the code positions above. For 900, the row of eight identification characters is repeated with spatial rotation seven additional times to produce a complete Latin Square design. For 900 a row of filled symbols are placed below the eighth identification line to complete the enclosing frame.
Alphanumeric characters are selected from a fixed width font of European characters
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and contain character designs which are all easily distinguished from each other. Preferably a font in common use in the region (such as Cyrillic or Katakana in corresponding countries) is used as long as it is compatible with machine recognition. (In some fonts, some characters differ little from each other, such as the numeral 1, the lower case '1', or zero and the letter "O", and Q, in even a Courier font, which is preferred. These may be modified: for example the character represented as octal 370 in the "Postscript" set is a letter "1" with a cross on its stem, or alternatively at least one set of informative indicia printed in at least one different code helps resolve ambiguity).
The characters, of which there are typically nine, are commonly partially or wholly replicated in an m x n Latin Square design as exemplified in Figures 4 through 8 where m = 3 and n = 9 in these instances. In this format the entire code is replicated in the three horizontal rows below the locating frame, and is also replicated in any group of three columns. (Figure 9 shows eight characters in an 8 x 8 complete Latin Square design.) "typically only a single Latin Square generating rule is used for all labels in a single application.
An application for such an alphanumeric encoded label is the identification of logs and subsequent automatic recognition of the log by locating the frame of ovals and reading the alphanumeric encoded label.
As each log is received at a marshaling yard, a nine character identification is assigned to the log. Upper case and lower case alphabetic characters as well as digits 0 to 9 are used in the identification code. In our preferred embodiment, a computer generates copies of a spatially balanced pattern of the identification on sheets of white plastic paper, 18 cm by 13 cm, surrounded by an identifying frame of ovals which also identify orientation. Individual alphanumeric characters are 15 mm high and at most 15mm wide in a 15mm wide space. Preferably a second simultaneously readable code representation in marks and spaces is also used in the label with spatial rotation to increase the likelihood of correct recognition in the later computer analysis. Figure 7 shows such a coded label with an attached bar-code outside the frame to permit simultaneous use of another parallel method. The plastic sheets are affixed preferabW to both ends of the log.
The scanned image after capture and transmission (see above -e g. Figure 1) is
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automatically analyzed by computer to locate all label frames and identify the logs based on the encoded label value. The frame of ovals (or indeed a circular frame) allows identification and correction of planar skew (i.e. non-peipendicularity of the object planes to the optical axis) in the label image. The frame also allows easy determination of the rotational orientation of the image. The additional copies or repetitions of the identification code which are spatially separated allow reconstruction of the identification even after two thirds of the label is obscured due to degradation of the encoded label due to dirt or other contamination, or damage to the label, or due to CCD element, area, column, or row failures.
The captured image is preferably compressed and transmitted by radio to a remote computer station for storage, subsequent analysis, and later viewing. An analysis computer program automatically retrieves the stored image, analyses the image and generates a file of decoded identification codes for the image. A typical delay time between the commencement of image capture and completion of analysis can be as short as 33 seconds with commonplace computing equipment. Of course, image transmission may commence as soon as the first of the scanned data becomes available.
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SOFTWARE
The following example shows a typical instruction sequence for control instructions for the log identification when a fixed location scanning station is available.
Control Instruction Sequence:
1. Wait for a grab with logs to arrive at scanning station, and set up camera.
2. Initiate scan and save scanned image.
Then,, for circular identification codes:
3. Analyze scan image to find all label frame circles.
4. Identify the center point of a first circle.
(and optionally identify other control rings).
. Read the code from outside to center at 0 degrees rotation as sample 1.
6. Read the code from outside to center at 120 degrees rotation as sample 2.
7. Read the code from outside to centra* at 240 degrees rotation as sample 3.
8. Reconcile samples to form identification number.
9. Transmit identification number to database software.
. Repeat steps 4 to 9 for all other circles in scan.
11. Optionally, notify grab to proceed away from scanning station.
12. Go back to step 1.
Alternatively, for alphanumeric identification codes:
3. Analyze scan image to find all label frames.
4. Use the frame as recorded to indicate non-perpendicularity and correct it, removing orientation and rotation distortions.
. Identify the character at each character position in the triple array of characters inside the frame.
6. Reconcile the three samples to form an identification.
7. Transmit identification number to database software.
8. Repeat steps 4 to 7 for all other frames in scan.
9. Notify grab to proceed away from scanning station.
. Go back to step 1.
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EXAMPLE POSTAL APPLICATION USING ALPHANUMERIC CODES
This preferred embodiment describes mixed alphanumeric and coded postal identification codes for destinations incorporating spatial redundancy and surrounded by a locating frame. They have been prepared for use in identifying postal letters, packages, boxes, and sacks.
The encoded labels may use a replicated sequence of letter groups, such as the set 'USPO' as the frame around a row or rows containing the identification code. One such label is shown in Figure 6. Alternatively other types of symbol sequences providing orientation information may be used such as alternating circles and triangles. On the ends of the rows containing the identification code, the frame code sequence is continued as part of the frame pattern. Two additional code lines are below in Figure 6 which contain the identification code in a different code rule (such as "ASCII" code in which "mark" here is black and "space" is white or vice versa,) incorporating within-character spatial redundancy, parity error coding, and in rotated spatial order and with the continued frame pattern on each end. Alternatively the continued frame pattern on each end may use other symbols such as circles or triangles. Below the third identification row, another sequence of the same letter groups completes the frame around the identification codes. Alternatively, other symbols may be used below the third row, such as alternating circles and triangles.
Labels may be affixed to objects with any orientation and still be recognized because of the distinctive outer frame which also provides orientation information. Partially obscured labels can still be recognized because of the spatial duplication of the identification within the frame. Defaced labels can still be recognized since both a readable and a differently coded version of the label are used in the same label.
At the time the letter, parcel, or box is mailed, a label with frame may be generated by computer and affixed to the package automatically or manually. Alternatively the frame may be preprinted separately and the identification affixed inside the frame at mailing time. Guidemarks such as fine lines or colored bars may be placed inside the frame to aid in alignment of the identification codes within the frame. Figure 10 illustrates one example of an alphanumeric encoded label having a border according to this invention but with the information field left blank.
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Handling is expected to involve separating each item on a moving belt so that only one item at a time passes a scan station. A line scan camera at the scan station is triggered by an object sensor to take a series of scans of the object as it passes in front of the camera. Once past the camera, the area scan image is analyzed by computer to determine the identification code for the destination and the code is passed to a sorting machine to provide directional routing for the moving item. Unidentified objects produce a dummy destination code intended to route them to postal staff for manual identification.
EXAMPLE LICENCE PLATE APPLICATION USING ALPHANUMERIC CODES
Vehicle licence plates which provide alphanumeric identification codes incorporating spatial redundancy and surrounded by a locating frame made according to this invention may be used on or directly applied to vehicles such as cars, trains, planes, boats, and to shipping containers to enable automatic scanning and reading of licence identification.
In one preferred format as shown in Figure 5, the encoded alphanumeric labels use a row of open circles or ovals, such as the number '0' above a row containing the identification code. On the ends of the row containing the identification code, a filled oval or circle, such as a filled '0' is used as part of the frame. Two additional code lines are below which contain the identification code in rotated spatial order and with the filled circles or ovals on the end. Below the third identification row, a row of filled circles or ovals is placed positionally as part of the frame identifying the code positions above.
Plates can be manufactured, distributed and affixed in the same manner as previously but with the new codes and surrounding frame.
A camera or scanner can be used to take pictures of the items in their normal environment and automatically Analyze the picture to identify the one or more vehicles in the picture which can be located from the vehicle label frame and which produce eight dot or more wide single color areas at feature edges. The picture may preferably be printed to provide a permanent record with the identification, date, and time, along
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the edge of the print. Optionally the numbers may be transmitted by radio to a central machine for use in other application such as traffic counting, stolen vehicle checks, or licence currency checks.
EXAMPLE MEASUREMENT LABEL APPLICATION USING ALPHANUMERIC CODES
For commercial goods which require exterior coding of content details a label, incorporating spatial redundancy and surrounded by a locating frame, may be made for use on large containers, pallets of wood, shipping boxes, and other items.
The encoded alphanumeric labels are generated as required and coded with content information such as type, weight, quantities, color, destination, date, and other important information. Optionally the frames may be preprinted.
The encoded alphanumeric labels, which may be any of from Figure 3 to Figure 9 or Figure 12, preferably use a row of open circles or ovals, such as the number '0' above a row containing the identification code. On the ends of the row containing the identification code, a filled circle, such as a filled '0* is used as part of the frame. Additional code lines are below which contain the identification code in rotated spatial order and with the filled circles or ovals on the end. Below the last identification row, a row of filled circles or ovals is placed positionally as part of the frame identifying the code positions above.
At a special checking station the goods are to be categorized, weighed and measured. Unique labels incorporating the category, weight, measures, date, and identification code are automatically generated at the station (optionally onto preprinted frames) and affixed to the item in one or more places. All labels have the same frame.
At transit stations and at the final destination cameras or scanners take pictures of individual or groups of items. The area scans are then automatically analyzed to locate the label frames and automatically read the information about each item.
The information read from the label may then be directly printed for sorting,
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classification, or handling use. The information may also be stored in the computer for use in other applications such as dispatch load planning, storage planning, new data entry and registration, and arrival notification. The information may be also used to verify or Analyze computerized records.
VARIATIONS IN FRAMED LABEL DESIGN
The encoded label design may be varied in a number of ways depending on the requirements of the particular application.
The total size of the encoded label may be increased or decreased to accommodate the material being labeled. Preferably the frame and the number of identification marks or rings are made to vary appropriately to allow for the required number of distinct units to be differentiated in the scanning procedure or to allow the addition of error checking or correcting information as appropriate to the application requirements.
Designs may be scaled up or down as appropriate to maintain the distinguishability of the frame and identification when increasing or decreasing the field of view to take in more or less labels in a single image.
In addition to rings or characters or ovals or circles of a single color on a common background color, additional colors may be used to provide additional distinctiveness to the outside frame or to increase the range of distinct values; for example, using four colors of rings, including the background, allows use of base four numbering for rings.
Frames may be preprinted separately from the identification codes and the identification codes printed later. Figure 10 shows an example of a preprinted label carrying just a border according to this invention comprising a frame of open and closed ovals which surrounds a blank information-carrying space. Information-carrying indicia of any desired form may be added by the user at the time of use - more particularly at the time of item classification.
In addition to the preferred two dimensional array, the information bearing indicia may be organized as a one dimensional array of information (preferably using "Latin Square" style linear spatial repetition).
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Preprinted frames may have guide marks - like crop marks - idded to aid later positioning of identification codes within the frame.
In addition to standard English alphabetic characters, characters from other symbol sets or icons such as Qiinese characters, Katakana characters, or the Cyrillic alphabet, or the or Gothic character set, could be used for spatial marking codes.
The oval or circular frames around the alphanumeric identification could be coded in other patterns of filled and non-filled ovals or circles to provide additional information such as identification checksums or manufacturer.
Further design variation may be accomplished by using other shapes for the control frame of the label. For example, a dashed pattern could be used for an outer control ring on a circular code. Another example could be the use of diamond patterns in the frame around the alphanumeric identification.
Multiple partial or complete Latin Square layout rules may be used for the spatial layout of identification codes and be indicated by, for example, use of a special character in the identification code or by the specific frame being used. A Latin Square spatial distribution can also be applied to a replicated linear array of indicia.
Image capture need not be restricted to a camera of the type described. For example one could equip numerous individuals with photographic cameras on stock-taking day to photograph every item in every company warehouse, and later on, scan the images. XY CCD camera chips of sufficient resolution are becoming more readily available and then a flash illumination system may be preferred in field data capture situations.
Image analysis need not be restricted to computers in which information is represented in digital electrical form. The principles of optical computers lend themselves to image processing of this type.
Finally, it should be noted that a number of other variations upon the principles of this invention or other embodiments of it still lie within the scope of this invention as set forth in the following claims.
S914KSCI.092
240172
Claims (9)
1. A method of identifying one or more items at a site, comprising the steps of: labelling each of said one or more items with a unique machine-readable label, said label carrying a data matrix data field readable by machine vision reading 5 equipment , said data matrix data field containing information-carrying indicia, and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said items, recording at least one image of the area of the field of view able to be read by said machine vision reading equipment, converting the image into a computer-compatible form, 10 applying machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and decoding the information-carrying indicia in the or each data field to identify the or each item.
2. A method of identifying one or more items at a site as claimed in claim 1, wherein the or each label has an area which is substantially less than the field of view area. 15
3. A method of identifying as claimed in claim 2, wherein a substantial number of labels are positioned in the field of view area.
4. A method of identifying as claimed in claim 3, wherein said number of labels comprises at least five labels.
5. A method of identifying as claimed in any ore of the preceding claims wherein the 20 data matrix data field is surrounded by, or carries in its periphery, a border. ^ & t/ * ^ \;5314CLMS. 196/CW/gg U itf&Sk..;V.18JANf096 '/;2401;■21;
6. A method of identifying as claimed in any one of the preceding claims wherein said label carries thereon one or more orientation-indicating indicia.;
7. A method of identifying as claimed in claim 6 when dependent on claim 5 wherein said orientation-indicating indicia forms part of, or is included in, said border.;5
8. A method of identifying as claimed in any one of the preceding claims wherein said items are placed in a cradle prior to the recording of the at least one image.;
9. A method of identifying one or more logs at a site, comprising the steps of: labelling each of said one or more logs with a unique machine-readable label, said label carrying a data matrix data field readable by machine vision reading 10 equipment, said data matrix data field containing information-carrying indicia, and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said logs, recording at least one image of the area of the field of view able to be read by said machine vision reading equipment, converting the image into a computer-compatible form, 15 applying machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and decoding the information-carrying indicia in the or each data field to identify the or each log.;10.A method of identifying one or more items at a site as claimed in claim 9, wherein the or each label has an area which is substantially less than the field of view area.;5314CLMS. 196/CW/gg;-22-;2401;11.A method of identifying as claimed in claim 10, wherein a substantial number of labels are positioned in the field of view area.;12.A method of identifying as claimed in claim 11, wherein said number of labels comprises at least five labels.;13.A method of identifying as claimed in any one of claims 9 to 12 wherein the data matrix data field is surrounded by, or carries in its periphery, a border.;14. A method of identifying as claimed in any one of claims 9 to 13 wherein said label carries thereon one or more orientation-indicating indicia.;15.A method of identifying as claimed in claim 14 when dependent on claim 13 wherein said orientation-indicating indicia forms part of, or is included in, said;16.A method of identifying as claimed in any one of claims 9 to 15 wherein said logs are placed in a cradle prior to the recording of the at least one image.;17.A method of identifying as claimed in any one of claims 9 to 16 wherein at least one image is recorded of each end of said logs.;18.A method of identifying one or more items at a site substantially as herein described with reference to the accompanying drawings.;border.;-23-;19.An identification system to identify one or more items at a site, comprising; a plurality of unique labels capable of being applied to an item, each said label carrying a data matrix data field readable by machine vision reading equipment, and said data matrix data field containing information-carrying indicia; machine vision reading equipment to read said labels and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said items; recording means to record at least one image of the area of the field of view able to be read by said machine vision reading equipment; converting means to convert the image into a computer-compatible form; and a computer to apply machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and to decode the information-carrying indicia in the or each data field to identify the or each item.;20.An identification system as claimed in claim 19, wherein the or each label has an area which is substantially less than the field of view area.;21.An identification system as claimed in claim 20, wherein a substantial number of labels are positioned in the field of view area.;22.An identification system as claimed in claim 21, wherein said member of labels comprises at least five labels.;23.An identification system as claimed in any one of claims 19 to 22 wherein the data matrix data field is surrounded by, or carries in its periphery, a border.;5314CLMS. 196/CW/gg;24-;24.An identification system as claimed in any one of claims 19 to 23 wherein said label carries thereon one or more orientation-indicating indicia.;25.An identification system as claimed in claim 21 when dependent on claim 20 wherein said orientation-indicating indicia forms part of, or is included in, said;26.An identification system as claimed in any one of claims 19 to 24 further including a cradle into which said items are placed.;27.An identification system to identify one or more logs at a site, comprising; a plurality of unique labels capable of being applied to a log, each said label carrying a data matrix data field readable by machine vision reading equipment, and said data matrix data field containing information-carrying indicia; machine vision reading equipment to read said labels and the area of the field of view able to be read by said machine vision reading equipment being able to contain a substantial number of said logs; recording means to record at least one image of the area of the field of view able to be read by said machine vision reading equipment; converting means to convert the image into a computer-compatible form; and a computer to apply machine vision algorithms to detect the presence and position of the or each distinct data field within the image, and to decode the information-carrying indicia in the or each data field to identify the or each log.;border.;240172;28.An identification system as claimed in claim 27, wherein the or each label has an area which is substantially less than the field of view area.;29.An identification system as claimed in claim 28, wherein a substantial number of labels are positioned in the Held of view area.;30.An identification system as claimed in claim 29, wherein said member of labels comprises at least five labels.;31. An identification system as claimed in any one of claims 27 to 30 wherein the data matrix data field is surrounded by, or carries in its periphery, a border.;32.An identification system as claimed in any one of claims 27 to 31 wherein said lab 1 carries thereon one or more orientation-indicating indicia.;33.An identification system as claimed in claim 32 when dependent on claim 31 wherein said orientation-indicating indicia forms part of, or is included in, said;34.An identification system as claimed in any one of claims 27 to 33 further including a cradle into which said logs are placed.;35.An identification system as claimed in any one of claims 27 to 34 wherein said machine vision reading equipment reads labels at each end of the logs and said border.;recording means records at least one image of each end of the logs.;5314CLMS. 196/CW/ gg;"26* 240 172 36.An identification system substantially as herein described with reference to the accompanying drawings. James W Piper & Cor Attorneys For: / Klwlsoft Programs/Limited
Priority Applications (16)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
NZ240172A NZ240172A (en) | 1991-10-09 | 1991-10-09 | Computerised detection and identification of multiple labels in a field of view |
TW081107918A TW207017B (en) | 1991-10-09 | 1992-10-06 | |
ZA927708A ZA927708B (en) | 1991-10-09 | 1992-10-07 | Identification system. |
BR9206607A BR9206607A (en) | 1991-10-09 | 1992-10-08 | Identification system comprising a machine-readable label and an identification process using that label |
RU94033154A RU2115167C1 (en) | 1991-10-09 | 1992-10-08 | Computer-read label and method for identifying at least one part |
HU9400926A HUT69107A (en) | 1991-10-09 | 1992-10-08 | Indentification system |
JP5507172A JPH07500200A (en) | 1991-10-09 | 1992-10-08 | recognition device |
EP92921777A EP0607298A4 (en) | 1991-10-09 | 1992-10-08 | Identification system. |
AU28644/92A AU660506B2 (en) | 1991-10-09 | 1992-10-08 | Identification system |
PCT/US1992/008548 WO1993007006A1 (en) | 1991-10-09 | 1992-10-08 | Identification system |
CA002116540A CA2116540A1 (en) | 1991-10-09 | 1992-10-08 | Identification system |
US08/199,316 US5607187A (en) | 1991-10-09 | 1992-10-08 | Method of identifying a plurality of labels having data fields within a machine readable border |
CN92112837A CN1072526A (en) | 1991-10-09 | 1992-10-09 | Recognition system |
FI941606A FI941606A0 (en) | 1991-10-09 | 1994-04-07 | Recognition system |
NO941248A NO941248L (en) | 1991-10-09 | 1994-04-07 | Identification system |
US08/691,823 US5725253A (en) | 1991-10-09 | 1996-08-05 | Identification system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
NZ240172A NZ240172A (en) | 1991-10-09 | 1991-10-09 | Computerised detection and identification of multiple labels in a field of view |
Publications (1)
Publication Number | Publication Date |
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NZ240172A true NZ240172A (en) | 1996-05-28 |
Family
ID=19923764
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
NZ240172A NZ240172A (en) | 1991-10-09 | 1991-10-09 | Computerised detection and identification of multiple labels in a field of view |
Country Status (13)
Country | Link |
---|---|
EP (1) | EP0607298A4 (en) |
JP (1) | JPH07500200A (en) |
CN (1) | CN1072526A (en) |
AU (1) | AU660506B2 (en) |
BR (1) | BR9206607A (en) |
CA (1) | CA2116540A1 (en) |
FI (1) | FI941606A0 (en) |
HU (1) | HUT69107A (en) |
NZ (1) | NZ240172A (en) |
RU (1) | RU2115167C1 (en) |
TW (1) | TW207017B (en) |
WO (1) | WO1993007006A1 (en) |
ZA (1) | ZA927708B (en) |
Cited By (1)
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CN103165019A (en) * | 2011-12-11 | 2013-06-19 | 褚相奇 | Accurate identification method for personal used items and identification mark |
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FR2731535B1 (en) * | 1995-03-10 | 1997-04-25 | Poste | LOCATION MARK AND METHOD OF LOCATING INFORMATION BY ADDING THIS MARK |
GB2375420A (en) * | 2001-02-09 | 2002-11-13 | Enseal Systems Ltd | Document printed with graphical symbols which encode information |
EA003307B1 (en) * | 2002-04-16 | 2003-04-24 | Ежов Владимир Александрович | Method of identification movable objects |
DE20317451U1 (en) * | 2003-11-10 | 2004-12-23 | Bauer, Karl-Heinz | Storage magazine or rack for disk type storage media, e.g. CDs., has a scanning device for reading circular barcodes on labels stuck to the disks to permit management of the disks |
US7751585B2 (en) | 2004-06-28 | 2010-07-06 | Microsoft Corporation | System and method for encoding high density geometric symbol set |
WO2007004271A1 (en) * | 2005-06-30 | 2007-01-11 | Nobutoshi Miyazaki | System and method for utilizing resource such as wood |
EP2007014A1 (en) * | 2006-03-24 | 2008-12-24 | Zuev, Boris Alexandrovich | Information encoding and decoding method |
GB0702090D0 (en) * | 2007-02-02 | 2007-03-14 | Fracture Code Corp Aps | Virtual code window |
GB0714534D0 (en) | 2007-07-26 | 2007-09-05 | Iti Scotland Ltd | Secure authentic feature |
US8328097B2 (en) * | 2010-08-24 | 2012-12-11 | GM Global Technology Operations LLC | Multi-purpose appendable marking method |
RU2589325C1 (en) * | 2015-01-28 | 2016-07-10 | Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Санкт-Петербургский государственный лесотехнический университет имени С.М. Кирова" | Method of monitoring movement and automatic control of legality of round timber workpiece in supply chain |
RU2626656C2 (en) * | 2015-12-02 | 2017-07-31 | Общество с ограниченной ответственностью "Аби Девелопмент" | Method and system of determining orientation of text image |
CN106297551A (en) * | 2016-09-14 | 2017-01-04 | 哈工大机器人集团上海有限公司 | A kind of road sign for determining robot location and coding checkout method thereof |
CN106599967A (en) * | 2016-12-08 | 2017-04-26 | 同方威视技术股份有限公司 | Security check item positioning label and security check item positioning method |
WO2019022807A1 (en) * | 2017-07-28 | 2019-01-31 | The Coca-Cola Company | Method and apparatus for encoding and decoding circular symbolic codes |
CN107658835B (en) * | 2017-09-26 | 2023-10-27 | 深圳供电局有限公司 | Protective pressing plate and misoperation prevention method and system thereof |
CN109360331A (en) * | 2017-12-29 | 2019-02-19 | 广州Tcl智能家居科技有限公司 | A kind of automatic vending method and automatic vending machine based on article identification |
CN112182271A (en) * | 2019-07-03 | 2021-01-05 | 深圳市创能亿科科技开发有限公司 | Device identification method and system |
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1991
- 1991-10-09 NZ NZ240172A patent/NZ240172A/en unknown
-
1992
- 1992-10-06 TW TW081107918A patent/TW207017B/zh active
- 1992-10-07 ZA ZA927708A patent/ZA927708B/en unknown
- 1992-10-08 CA CA002116540A patent/CA2116540A1/en not_active Abandoned
- 1992-10-08 JP JP5507172A patent/JPH07500200A/en active Pending
- 1992-10-08 AU AU28644/92A patent/AU660506B2/en not_active Ceased
- 1992-10-08 HU HU9400926A patent/HUT69107A/en unknown
- 1992-10-08 WO PCT/US1992/008548 patent/WO1993007006A1/en not_active Application Discontinuation
- 1992-10-08 BR BR9206607A patent/BR9206607A/en not_active Application Discontinuation
- 1992-10-08 RU RU94033154A patent/RU2115167C1/en active
- 1992-10-08 EP EP92921777A patent/EP0607298A4/en not_active Withdrawn
- 1992-10-09 CN CN92112837A patent/CN1072526A/en active Pending
-
1994
- 1994-04-07 FI FI941606A patent/FI941606A0/en not_active Application Discontinuation
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103165019A (en) * | 2011-12-11 | 2013-06-19 | 褚相奇 | Accurate identification method for personal used items and identification mark |
Also Published As
Publication number | Publication date |
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RU2115167C1 (en) | 1998-07-10 |
CA2116540A1 (en) | 1993-04-15 |
AU2864492A (en) | 1993-05-03 |
HUT69107A (en) | 1995-08-28 |
FI941606A (en) | 1994-04-07 |
RU94033154A (en) | 1996-06-20 |
HU9400926D0 (en) | 1994-08-29 |
JPH07500200A (en) | 1995-01-05 |
TW207017B (en) | 1993-06-01 |
ZA927708B (en) | 1993-04-15 |
EP0607298A1 (en) | 1994-07-27 |
WO1993007006A1 (en) | 1993-04-15 |
FI941606A0 (en) | 1994-04-07 |
CN1072526A (en) | 1993-05-26 |
EP0607298A4 (en) | 1995-05-24 |
BR9206607A (en) | 1995-12-12 |
AU660506B2 (en) | 1995-06-29 |
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