Method and apparatus for automatic visual event detection

• US 20050276460A1
• Filed: 05/26/2005
• Published: 12/15/2005
• Est. Priority Date: 06/09/2004
• Status: Active Grant

• Current Assignee: Cognex Technology & Investment Corporation (Cognex Corporation)
• Original Assignee: Cognex Technology & Investment Corporation (Cognex Corporation)
• Inventors: Silver, William M.
• Granted Patent: US 8,249,296 B2
• Time in Patent Office: Days
• US Class Current: 382/141
• CPC Class Codes: G01N 2021/8887 based on image processing techniques
• CPC Class Codes: G06T 7/0008 checking presence/absence
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: G11B 27/34 Indicating arrangements indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D
• CPC Class Codes: H04N 5/765 Interface circuits between an apparatus for recording and another apparatus
• CPC Class Codes: H04N 5/772 the recording apparatus and the television camera being placed in the same enclosure
• CPC Class Codes: H04N 5/907 using static stores, e.g. storage tubes or semiconductor memories H04N5/91 takes precedence
• CPC Class Codes: H04N 7/188 Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position signal generation from motion picture films H04N5/253

Abstract

Disclosed are methods and apparatus for automatic visual detection of events, for recording images of those events and retrieving them for display and human or automated analysis, and for sending synchronized signals to external equipment when events are detected. An event corresponds to a specific condition, among some time-varying conditions within the field of view of an imaging device, that can be detected by visual means based on capturing and analyzing digital images of a two-dimensional field of view in which the event may occur. Events may correspond to rare, short duration mechanical failures for which obtaining images for analysis is desirable. Events are detected by considering evidence obtained from an analysis of multiple images of the field of view, during which time moving mechanical components can be seen from multiple viewing perspectives.

Claims

1-16. -16. (canceled)

17. A method for automatic visual detection and reporting of an event, comprising:

capturing a plurality of frames, each frame in the plurality of frames comprising an image of a two-dimensional field of view in which the event occurs, the event comprising a motion of an object along a path, the path having a mark point, the event further comprising a mark time at which the object is located at the mark point;

choosing, responsive to a first analysis of the plurality of frames, a plurality of event frames from the plurality of frames, such that the first analysis indicates sufficient evidence that the object is located along the path for each frame of the plurality of event frames;

obtaining a plurality of capture times corresponding to the plurality of event frames, each capture time of the plurality of capture times being a function of a time at which the corresponding event frame was captured;

computing, responsive to a second analysis of the plurality of event frames, a plurality of location values, each location value of the plurality of location values responsive to a position of the object along the path in an associated event frame as computed by the second analysis;

determining the mark time using the plurality of location values and the plurality of capture times; and

producing a signal at a report time that follows the mark time by a delay interval.

18. The method of claim 17, wherein each capture time of the plurality of capture times is proportional to a time at which the corresponding event frame was captured.

19. The method of claim 17, wherein each capture time of the plurality of capture times is an encoder count obtained at a time at which the corresponding event frame was captured.

20. The method of claim 17, wherein determining the mark time comprises fitting a curve to the plurality of location values and the plurality of capture times.

21. The method of claim 20, wherein the curve is a line.

22. The method of claim 20, wherein the curve is a parabola.

23. The method of claim 20, wherein

the curve has an apex;

and

determining the mark time further comprises determining the apex of the curve.

24. The method of claim 17, wherein the event comprises a flow event, the flow event comprising motion of the object across the mark point.

25. The method of claim 17, wherein the event comprises a stroke event, the stroke event comprising motion of advance and retreat along the path.

26. The method of claim 17, wherein

the path has an apex;

and

the mark point is the apex of the path.

27. The method of claim 17, wherein the plurality of frames are captured, and the first analysis and second analysis are performed, at a rate of not less than two hundred frames per second.

28. The method of claim 17, wherein the field of view comprises no more than about 40,000 pixels.

29. The method of claim 17, further comprising

selecting an event type from a plurality of event types, the event type corresponding to the motion of the object along the path;

and

wherein determining the mark time is responsive to the event type.

30. The method of claim 29, wherein the plurality of event types comprises a flow event type and a stroke event type.

31. The method of claim 29, wherein selecting the event type is responsive to a human-machine interface.

32. The method of claim 17, wherein the delay interval is selected responsive to a human-machine interface.

33. A system for automatic visual detection and reporting of an event, comprising:

a capture process that captures a plurality of frames, each frame in the plurality of frames comprising an image of a two-dimensional field of view in which the event occurs, the event comprising a motion of an object along a path, the path having a mark point, the event further comprising a mark time at which the object is located at the mark point;

a first selection process that chooses a plurality of event frames from the plurality of frames, such that the first selection process judges that there is sufficient evidence that the object is located along the path for each frame of the plurality of event frames;

a timing process that obtains a plurality of capture times corresponding to the plurality of event frames, each capture time of the plurality of capture times being a function of a time at which the corresponding event frame was captured;

a first analysis process that computes a plurality of location values, each location value of the plurality of location values responsive to a position of the object along the path in an associated event frame;

a second analysis process that determines the mark time using the plurality of location values and the plurality of capture times; and

an output process that produces a signal at a report time that follows the mark time by a delay interval.

34. The system of claim 33, wherein each capture time of the plurality of capture times is proportional to a time at which the corresponding event frame was captured.

35. The system of claim 33, wherein each capture time of the plurality of capture times is an encoder count obtained at a time at which the corresponding event frame was captured.

36. The system of claim 33, wherein the second analysis process comprises fitting a curve to the plurality of location values and the plurality of capture times.

37. The system of claim 36, wherein the curve is a line.

38. The system of claim 36, wherein the curve is a parabola.

39. The system of claim 36, wherein

the curve has an apex;

and

the second analysis process further comprises determining the apex of the curve.

40. The system of claim 33, wherein the event comprises a flow event, the flow event comprising motion of the object across the mark point.

41. The system of claim 33, wherein the event comprises a stroke event, the stroke event comprising motion of advance and retreat along the path.

42. The system of claim 33, wherein

the path has an apex;

and

the mark point is the apex of the path.

43. The system of claim 33, wherein the capture process, the first selection process, and the first analysis process operate at a rate of not less than two hundred frames per second.

44. The system of claim 33, wherein the capture process comprises an image capture device comprising no more than about 40,000 pixels.

45. The system of claim 33, further comprising

a second selection process that selects an event type from a plurality of event types, the event type corresponding to the motion of the object along the path;

and

wherein the second analysis process determines the mark time using the event type.

46. The system of claim 45, wherein the plurality of event types comprises a flow event type and a stroke event type.

47. The system of claim 45, wherein the second analysis process comprises a human-machine interface.

48. The system of claim 33, further comprising a human-machine interface that selects the delay interval.