Method and apparatus for detecting objects
Filing Information
- Publication Number: US20020125435
- Application Number: US10052953
- Filing date: 01/17/2002
- Publication date: 09/12/2002
- Predicted expiration date: 01/17/2022
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analyzing 100 million+ documents to uncover your network...- U.S. Classifications: 250/341.1 ·
- International Classifications: G01J005/02 ·
- Related U.S. Application Data:
0001 This application claims priority under 35 U.S.C.§119(e)(1) to co-pending U.S. Provisional Patent Application Ser. No. 60/262,925, filed Jan. 19, 2001, and entitled “OBJECT DETECTION USING MOIRÉ INTERFERENCE”. - View document at: (opens new window):
USPTO · PAIR · esp@cenet · Patent Family
Abstract
An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object motion and/or presence.References Cited
The current document has no citations.Referenced By
| Document Number | Assignee | Inventors | Issue/Pub Date |
|---|---|---|---|
| US7421112 | General Electric Company | Andrew J. Calver et al. | Sep 2008 |
| US7440620 | Rockwell Automation B.V. | Frank Arthur Aartsen | Oct 2008 |
| US7557906 | Sick AG | Stefan Mack | Jul 2009 |
| US7590345 | Sick AG | Martin Wuestefeld | Sep 2009 |
| US7298866 | Lockheed Martin Corporation | Henry C. Lee | Nov 2007 |
| US7176440 | Honeywell International Inc. | Darren D. Cofer et al. | Feb 2007 |
| US7627170 | Northrop Grumman Corporation | Omar Aboutalib et al. | Dec 2009 |
Patent Family
| Document Number | Assignee | Inventors | Issue/Pub Date |
|---|---|---|---|
| US20020125435 | Rida Hamza et al. | Sep 2002 | |
| WO2002103649 | HONEYWELL INTERNATIONAL INC. | Rida M. HAMZA et al. | Dec 2002 |
| US20040256541 | Honeywell International Inc. | Rida Hamza et al. | Dec 2004 |
| US6841780 | Honeywell International Inc. | Darren D. Cofer et al. | Jan 2005 |
| JP2005508027 | Mar 2005 | ||
| US20060038114 | Honeywell International Inc. | Darren Cofer et al. | Feb 2006 |
| US7176440 | Honeywell International Inc. | Darren D. Cofer et al. | Feb 2007 |
Independent Claims | See all claims (24)
- 1. A method for detecting an object in a monitored area, the method comprising the steps of: illuminating the monitored area with a pattern; capturing a live image of the monitored area, including the pattern; and detecting an object in the monitored area when a change is detected in the pattern in the live image.
- 11. A method for detecting an object in a monitored area, the method comprising the steps of: illuminating the monitored area with a first pattern; creating moiré interference bands by imposing a second pattern shifted relative to the first pattern; capturing a live image of the monitored area, including the moiré interference bands; and detecting an object in the monitored area when a change is detected in the moiré interference bands in the live image.
- 23. A method for detecting an object in a monitored area comprising: illuminating the monitored area with a specified pattern having bright areas and dark areas, each with a brightness level; capturing a plurality of reference image mask windows, each mask window covering at least part of the monitored area; for each reference image mask window, calculating a difference “gref” between the brightness levels corresponding to the light areas in the mask window and the brightness levels corresponding to the dark areas in the mask window; for each reference image mask window, capturing a corresponding live image mask window; for each live image mask window, calculating a difference “glive” between the brightness levels corresponding to the light areas in the mask window and the brightness levels corresponding to the dark areas in the mask window; and indicating that an object has been detected when, for any mask window, the calculated value “glive” is different from the corresponding calculated value “gref” by at least a specified threshold value.
