Object sorting system

• US 5,111,411 A
• Filed: 08/01/1988
• Issued: 05/05/1992
• Est. Priority Date: 01/09/1984
• Status: Expired due to Fees

• Current Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Original Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Inventors: Browne, Arthur
• Primary Examiner(s): Lall, Parshotam S.
• Assistant Examiner(s): Dixon, Joseph L.
• Application Number:
  US07/226,565
• Time in Patent Office: 1,373 Days
• Field of Search: 364/478, 364/479, 364/555, 364/559, 364/564, 382/8, 382/20, 382/25, 382/48, 382/51, 382/18, 209/586, 209/587, 209/598, 209/939, 250/221.1, 250/223 R, 356/379, 356/380, 356/385
• US Class Current: 382/141
• CPC Class Codes: B07C 5/02 Measures preceding sorting, e.g. arranging articles in a stream orientating sorting and transport of caps B67B3/06
• CPC Class Codes: B07C 5/10 measured by light-responsive means sorting according to colour B07C5/342
• CPC Class Codes: B07C 5/365 using a single separation means

Abstract

Object sorting systems are known which use a vision based system programmed by an operator who selects those features of the object which will be used in the sorting test. In the invention, detailed feature selection by a human programmer is avoided, the features being selected automatically in a system which is shown examples of the desired and undesired objects. Typically, a linear array camera 5 scans the objects 18 in a rectangular raster, created by the motion of the object along a track 1 and in contact with a fence 2, to generate a binarized picture of the object comprising rows and columns of binary picture elements (pixels). In a learning mode, a master set of features is derived as a reference set of distinguishable columns of the picture. In the sorting mode, the corresponding set of columns of an unknown object are compared with the reference set to determine acceptance or rejection of the object.

Claims

1. An object sorting device for solid objects that are presented in a limited plurality of allowed orientations in a plane with respect to a longitudinal axis in said plane, said device comprising:

means for moving said objects in a direction along said longitudinal axis;

means for scanning successive objects each in a raster format to derive a raster waveform of each object;

means for binarizing the waveform of an object into a two-dimensional array of binary pixels comprising rows along the direction of said longitudinal axis and columns transverse to said longitudinal axis;

feature extraction means for extracting selected features from the two-dimensional binary array to produce a one-dimensional array comprising a plurality of elements each representative of the information content of a corresponding said column of binary pixels, said feature extraction means comprising run counting means for counting runs of successive identical elements of said one-dimensional array and for outputting only those runs having a predetermined minimum length at least equal to two to represent the selected features;

means fed by said feature extraction means for deriving a one-dimensional reference array from the scanning of a plurality of reference objects;

means for storing said reference array; and

comparison means receiving the output from said feature extraction means and said storage means for comparing within a predetermined tolerance the one-dimensional array of an unknown object with said one-dimensional reference array to produce a binary object sorting signal for sorting objects in an undesired orientation from said track.

2. A device as claimed in claim 1, wherein said means for scanning said objects comprises a linear array of photodetectors transverse to said longitudinal axis, a fence having a portion parallel to said longitudinal axis adjacent said photodetector array, and means for moving said objects past said photodetector array and in view of said photodetector array;

outputs of the photodetectors being sampled at regularly spaced time intervals to produce said raster waveform;

said means for binarizing said waveform comprises means for comparing said output of each said photodetector to a threshold level, for assigning one binary value to a said output if it equals or exceeds said threshold level and for assigning the other binary value if it is less than said threshold level; and

one said sampling of said photodetector array yielding one column of binary picture elements, and sampling while said object is in view of said photodetector array yielding rows of said columns of binary picture elements.

3. A device as claimed in claim 2, wherein said fence provides a distinctive signal in a first group of photodetectors viewing said fence, and said columns of binary pixels derived from said linear array of photodetectors are taken from a second group a photodetectors in said array adjoining said first group and extending away from said first group viewing said object, and said device has shifting means for shifting said second group of photodetectors to correspond to shifts in said first group so that movement of said photodetector array does not shift said object image.

4. A device as claimed in claim 1, wherein said feature extraction means further comprises column condensing means for dividing each said column of binary pixels into blocks each having an equal number of binary pixels, for assigning a binary value to each block equal to the majority binary value in said each block, for assigning a status other than a binary value if a said block does not have a majority binary value, and for forming a condensed column comprising said assigned values so that each said condensed column of said object comprises a pattern of assigned values corresponding to said blocks distinguishable by the order and number of assigned values in that said condensed column.

5. A device as claimed in claim 4, wherein said feature extraction means further comprises reference table forming means connected to the output of said column condensing means for forming a reference table comprising a list of said patterns, a respective pattern identity corresponding to each said pattern, and a corresponding count equal to the number of times each said pattern has occurred;

and storage means for storing said reference table.

6. A device as claimed in claim 5, wherein said feature extraction means further comprises array forming means for producing a one dimensional array of said pattern identities from a plurality of said condensed columns derived from scanning a solid object,

said array forming means searching said reference table for a column matching said column pattern for each condensed column in said plurality, if a matching column is found in said table said identity of the matching column is included in said array and if no matching column is found that said column is excluded from said array, said array having a total length and comprising runs of like identities, said runs being of varying length.

7. A device as claimed in claim 6, wherein said feature extraction means further comprises reduction means for reducing the length of said array to produce a short array,

any said run shorter than a predetermined length being excluded from said short array, and

each run longer than said predetermined length being represented in said short array by an entry of its respective pattern identity, said entry being repeated for each predetermined multiple that the length of said each run exceeds of a preset fraction of said total array length.

8. A device as claimed in claim 7, wherein said reference array deriving means comprises:

means for storing a first said short array obtained from scanning a first reference object in said plurality of reference objects as a first version of said reference array;

comparison means for comparing a next short array obtained from scanning the next reference object in said plurality with said first version;

means for matching identities present in said next short array with respective identities in corresponding locations in said reference array;

means for inserting identities present in said next short array which are not present in said first reference array into a corresponding location in said first reference array to obtain a new reference array; and

means for counting the number of times each said identity in said master reference array has been matched by an identity in each said next short array and for storing said count and its respective identity; and

said reference array deriving means being activated for each reference object in said plurality until a said count reaches a first predetermined number, said reference array being purged of any said identity occuring less than a second predetermined number of times.

9. A device as claimed in claim 8, wherein said reference array and each said next short array have a first identity and the length of each said next short array may be different than the length of said reference array;

said comparison means comprising;

means for aligning said first identity of said reference array with said first identity of said next short array;

means for searching in said reference array and said next short array for corresponding block runs comprising at least three identical identities;

means for shifting said next short array one identity with respect to said master reference array if said search is unsuccessful, said shifting continuing until said search is successful; and

means for matching each said block run in said next short array with a corresponding said block run in said reference array, the regions between block runs in said master reference array defining a plurality of boundaries, identities between block runs in said next short array being matched with corresponding identities in said reference array within a respective said boundary; and

sequence warping control means for determining a position where an identity in said next short array which does not match a corresponding identity in said reference array fits in said reference array within a respective said boundary and inserting said unmatched identity in said position in the reference array.

10. A device as claimed in claim 9, further comprising means for detecting a pair of two directly successive identities in a said array having a first and second value, respectively, that are preceded by a run of identities of said second value and followed by a run of identities of said first value and for then interchanging the sequence of said two directly successive identities for thereupon present all identities to said reduction means.

11. A device as claimed in claim 8, wherein said reference array comprises an additional set of a predetermined number of identities derived from scanning a second plurality of reference objects differing from said reference objects in said plurality and identities obtained from an unknown object which match identities corresponding to said additional set detract from a fit between said unknown object and said reference array.

12. A device as claimed in claim 11, wherein said reference objects in said plurality comprise a given object in a desired orientation and reference objects in said second plurality comprises said given object in an undesired orientation, said device sorting said object in said undesired orientation.

13. A device as claimed in claim 7, further comprising means for detecting a pair of two directly successive identities in a said array having a first and second value, respectively, that are preceded by a run of identities of said second value and followed by a run of identities of said first value and for then interchanging said the sequence of said two directly successive identities for thereupon presenting all identities to said reduction means.

14. A device as claimed in claim 6, further comprising means for comparing said column patterns of said condensed columns with said patterns stored in said table within a predetermined tolerance.

15. A device as claimed in claim 14, wherein said means for comparing said column patterns within a predetermined tolerance comprises means for modifying said patterns in said table to include a tolerance for subsequent matching and for storing each modified pattern with a corresponding position identifier indicating the position in the reference table of the corresponding pattern for each modified pattern, and said array forming means searching said modified patterns in said reference table for a said matching column.

16. A device as claimed in claim 1, wherein said feature extraction means further comprises:

reference table forming means for forming a reference table of unique columns obtained from scanning a plurality of reference objects, said table comprising unique columns and a distinctive identifier for each unique column that has occurred more than a predetermined number of times.

17. A device as claimed in claim 16, wherein said reference objects are identical and said reference array is obtained by scanning a first plurality of said reference objects in a desired orientation and a second plurality of said reference objects in undesired orientations;

and

identifiers in said array corresponding to features of reference objects in undesired orientations being used to apply a penalty in the comparison of the array of an unknown object with said reference array.