Handheld dimensioning system with measurement-conformance feedback

• US 10,393,508 B2
• Filed: 12/07/2017
• Issued: 08/27/2019
• Est. Priority Date: 10/21/2014
• Status: Active Grant

• Current Assignee: Hand Held Products Incorporated (Honeywell International Inc.)
• Original Assignee: Hand Held Products Incorporated (Honeywell International Inc.)
• Inventors: Ackley, H. Sprague, Laffargue, Franck
• Primary Examiner(s): Owens, Tsion B
• Application Number:
  US15/834,773
• Publication Number:
  US 20180106596A1
• Time in Patent Office: 628 Days
• CPC Class Codes: G01B 11/00 Measuring arrangements characterised by the use of optical techniques
• CPC Class Codes: G01B 11/022 by means of tv-camera scanning
• CPC Class Codes: G01B 11/026 by measuring distance between sensor and object G01B11/0608 takes precedence
• CPC Class Codes: G01F 17/00 Methods or apparatus for determining the capacity of containers or cavities, or the volume of solid bodies measuring linear dimensions to determine volume G01B

Abstract

A system and method for obtaining a dimension measurement that conforms to a conformance criteria is disclosed. The dimensioning system provides either (i) feedback to confirm that the measurement complies with the criteria or (ii) information on how the measurement geometry could be adjusted in order to provide a compliant measurement in a subsequent dimension measurement.

Claims

1. A method for generating a confidence level for a dimension measurement, comprising:

capturing, using an image sensor, an image of an object in a field of view;

calculating, using the captured image, at least one first dimension of the object from a first edge of the object to a second edge of the object;

calculating, using the captured image, at least one second dimension of the object from one pixel on a first side of the first edge of the object to the second edge;

calculating a difference between the at least one first dimension and the at least one second dimension; and

generating the confidence level based on the difference in the at least one first dimension and the at least one second dimension of the object.

2. The method of claim 1, wherein a higher confidence level indicates higher accuracy of measurement.

3. The method of claim 1, wherein, prior to generating the confidence level, the method further comprises:

computing, with a processor, a measurement geometry using the at least one image, the measurement geometry being an orientation and spatial relationship between the image-sensor and the imaged object; and

deriving, with the processor, a measurement accuracy corresponding to the measurement geometry.

4. The method of claim 3, wherein capturing the at least one image of the object in the field-of-view comprises capturing the at least one image as viewed along two different lines of sight.

5. The method of claim 3, further comprising, changing the confidence level by adjusting the measurement geometry.

6. The method of claim 5, wherein changing the confidence level comprises adjusting an angle of the imaged object with respect to the image-sensor.

7. The method of claim 3, further comprising:

identifying, with the processor, at least one conformance criterion based on the measurement accuracy, the at least one conformance criterion being a predetermined measurement accuracy standard or reference;

obtaining, with the processor, a dimension measurement using the at least one image;

comparing, with the processor, the dimension measurement to the at least one conformance criterion; and

generating, with the processor, measurement-conformance feedback corresponding to results of comparing the dimension measurement to the at least one conformance criterion.

8. The method of claim 3, wherein capturing the at least one image comprises capturing a structured light pattern.

9. The method of claim 3, wherein capturing the at least one image comprises capturing the at least one image using time-of-flight sensors.

10. The method of claim 3, wherein computing the measurement geometry using the at least one image comprises computing a distance between the object and the image-sensor.

11. The method of claim 3, wherein computing the measurement geometry using the at least one image comprises computing information related to range, object surfaces, and object orientation.

12. The method of claim 7, wherein obtaining the dimension measurement comprises obtaining one of a volume, a length, and a surface area.

13. The method of claim 7, wherein generating the measurement-conformance feedback comprises generating one of a conformance message, a non-conformance message, and an error message.

14. The method of claim 7, wherein generating the measurement-conformance feedback comprises generating an adjustment message, wherein the adjustment message comprises instructive prompts to facilitate the adjustment of the measurement geometry in order to achieve measurement conformance.

15. The method of claim 7, wherein generating the measurement-conformance feedback comprises generating a dimension measurement and a conformance message, the conformance message indicating whether the dimension measurement conforms or does not conform to the at least one conformance criterion.

16. The method of claim 7, wherein generating the measurement-conformance feedback comprises generating an indication that the object cannot be measured in compliance with the at least one conformance criterion when less than three surfaces of the object are visible to a dimensioning device performing the dimensioning measurement.

17. A method for generating a confidence level for a dimension measurement of an object, comprising:

capturing, with an imaging system, an image of the object in a field-of-view;

calculating, from the captured image, at least one first dimension of the object from a first edge of the object to a second edge of the object;

calculating, from the captured image, at least one second dimension of the object from one pixel on a first side of the first edge of the object to the second edge; and

calculating a difference between the at least one first dimension and the at least one second dimension,

wherein the smaller the difference between the at least one first dimension and the at least one second dimension, the higher the confidence level in the dimension measurement.

18. The method of claim 17, wherein the higher the confidence level, the higher accuracy of the dimension measurement.

19. The method of claim 17, further comprising adjusting a measurement geometry if the confidence level generated using the image is non-conforming with a conformance criterion, the measurement geometry being an orientation and spatial relationship between the imaging system and the object.

20. The method of claim 19, wherein adjusting the measurement geometry comprises adjusting an angle of the object with respect to the imaging system.