OPTICAL NAVIGATION DEVICE AND FAILURE IDENTIFICATION METHOD THEREOF

• US 20150293610A1
• Filed: 04/11/2014
• Published: 10/15/2015
• Est. Priority Date: 04/11/2014
• Status: Active Grant

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: Pixart Imaging (Penang) Sdn. Bhd. (PixArt Imaging Incorporated)
• Inventors: SONG, WILLIE
• Granted Patent: US 10,013,078 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0317 in co-operation with a patterned surface, e.g. absolute position or relative movement detection for an optical mouse or pen positioned with respect to a coded surface
• CPC Class Codes: G06F 3/03543 Mice or pucks G06F3/03541 takes precedence
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/20182 Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 7/001 using an image reference approach

Abstract

There is provided a failure identification method of an optical navigation device including the steps of: constructing a fixed noise map according to image frames captured by an image sensor; calculating a feature value of the fixed noise map; identifying whether the fixed noise map is uniform or not according to the feature value; and generating an alert signal when the fixed noise map is non-uniform for indicating failure of the optical navigation device.

Claims

1. An optical navigation device, comprising:

an image sensor configured to successively output image frames; and

a navigation processor configured to

update a transition noise map according to a first ratio of the transition noise map and a second ratio of a current frame,

generate a fixed noise map when an update count reaches a counting threshold, and

generate an alert signal when a feature value of the fixed noise map exceeds a feature threshold.

2. The optical navigation device as claimed in claim 1, wherein the navigation processor is further configured to calculate a displacement according to a reference frame and the current frame, and the transition noise map is updated only when the displacement exceeds a displacement threshold.

3. The optical navigation device as claimed in claim 1, wherein the first ratio is larger than the second ratio.

4. The optical navigation device as claimed in claim 1, wherein an initial transition noise map is a predetermined ratio of an initial image frame captured by the image sensor.

5. The optical navigation device as claimed in claim 1, further comprising an alert unit configured to represent an alert state according to the alert signal, wherein the alert unit represents the alert state by at least one of displaying, sound, illumination and vibration.

6. The optical navigation device as claimed in claim 5, wherein the navigation processor is further configured to compare noise areas of the fixed noise map with an area threshold so as to determine whether to generate the alert signal.

7. The optical navigation device as claimed in claim 1, wherein the feature value is a standard deviation or a localized comparison of the fixed noise map.

8. The optical navigation device as claimed in claim 1, wherein the navigation processor is further configured to reset the update count when the update count reaches the counting threshold.

9. The optical navigation device as claimed in claim 1, further comprising a storage unit configured to save the transition noise map, the counting threshold, the feature threshold and the update count.

10. A failure identification method of an optical navigation device, comprising:

identifying whether a movement occurs;

updating a transition noise map according to a first ratio of the transition noise map and a second ratio of a current frame when the movement occurs;

generating a fixed noise map when an update count reaches a counting threshold; and

generating an alert signal indicating failure of the optical navigation device when a feature value of the fixed noise map exceeds a feature threshold.

11. The failure identification method as claimed in claim 10, wherein the first ratio is larger than the second ratio.

12. The failure identification method as claimed in claim 10, wherein an initial transition noise map is a predetermined ratio of an initial image frame captured by an image sensor.

13. The failure identification method as claimed in claim 10, further comprising:

providing an alert unit configured to represent an alert state according to the alert signal.

14. The failure identification method as claimed in claim 10, wherein the feature value is a standard deviation or a localized comparison of the fixed noise map.

15. The failure identification method as claimed in claim 10, wherein when an update count of the transition noise map reaches a counting threshold, further comprises:

resetting the update count.

16. A failure identification method of an optical navigation device, comprising:

constructing a fixed noise map according to image frames captured by an image sensor;

calculating a feature value of the fixed noise map;

identifying whether the fixed noise map is uniform or non-uniform according to the feature value; and

generating an alert signal indicating failure of the optical navigation device when the fixed noise map is non-uniform.

17. The failure identification method as claimed in claim 16, wherein in the step of constructing a fixed noise map, a sum of a first ratio of a transition noise map and a second ratio of the image frames is calculated.

18. The failure identification method as claimed in claim 16, wherein in the step of calculating a feature value, a standard deviation or a localized comparison of the fixed noise map is calculated.

19. The failure identification method as claimed in claim 16, wherein

the fixed noise map is non-uniform when the feature value exceeds a feature threshold;

and

the fixed noise map is uniform when the feature value is smaller than the feature threshold.

20. The failure identification method as claimed in claim 16, further comprising:

providing an alert unit configured to represent an alert state according to the alert signal.