The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 08, 2019

Filed:

Jul. 06, 2012
Applicants:

Vijayen S. Veerasamy, Ann Arbor, MI (US);

Jose Nunez-regueiro, Ann Arbor, MI (US);

Inventors:

Vijayen S. Veerasamy, Ann Arbor, MI (US);

Jose Nunez-Regueiro, Ann Arbor, MI (US);

Assignee:

Guardian Glass, LLC, Auburn Hills, MI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60Q 1/14 (2006.01); B32B 17/10 (2006.01); B60S 1/08 (2006.01); G01D 5/24 (2006.01);
U.S. Cl.
CPC ...
B60Q 1/1423 (2013.01); B32B 17/10036 (2013.01); B32B 17/10174 (2013.01); B32B 17/10761 (2013.01); B60S 1/087 (2013.01); B60S 1/0825 (2013.01); G01D 5/24 (2013.01); B60Q 2300/112 (2013.01); B60Q 2300/314 (2013.01);
Abstract

In certain example embodiments, moisture sensors, defoggers, etc., and/or related methods, are provided. More particularly, certain example embodiments relate to moisture sensors and/or defoggers that may be used in various applications such as, for example, refrigerator/freezer merchandisers, vehicle windows, building windows, etc. When condensation or moisture is detected, an appropriate action may be taken (e.g., actuating windshield wipers, turning on a defroster, triggering the heating of a merchandiser door or window, etc.). Bayesian approaches optionally may be implemented in certain example embodiments in an attempt to improve moisture detection accuracy. For instance, models of various types of disturbances may be developed and, based on live data and a priori information known about the model, a probability of the model being accurate is calculated. If a threshold value is met, the model may be considered a match and, optionally, a corresponding appropriate action may be taken.


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