Communications: electrical – Condition responsive indicating system – Specific condition
Reexamination Certificate
2005-08-30
2005-08-30
Mullen, Thomas (Department: 2632)
Communications: electrical
Condition responsive indicating system
Specific condition
C340S562000
Reexamination Certificate
active
06937156
ABSTRACT:
A method and apparatus for capacitively sensing one or more pests is disclosed. The detector may be employed as either a passive detector and/or as a part of a combined detector and trap. The sensor system includes at least two sensor electrodes and a capacitance sensing circuit. When a non-capacitive object, such as a pest, approaches the sensor electrodes, the capacitance of the sensor electrodes increases due to the object having a higher dielectric constant than air. A capacitance sensing circuit detects the increased capacitance and provides an output signal that a pest has entered the area being monitored. The capacitance sensing circuit may also be constructed to measure the change in the electrode in order to determine the size and/or type of pest based on a characteristic change.
REFERENCES:
patent: 3843924 (1974-10-01), Wahlgren
patent: 4862145 (1989-08-01), Meehan et al.
patent: 4884064 (1989-11-01), Meehan
patent: 5392732 (1995-02-01), Fry
patent: 6445301 (2002-09-01), Farrell et al.
patent: 6707384 (2004-03-01), Shuman et al.
patent: 2001/0054962 (2001-12-01), Barber et al.
patent: 0 283 142 (1988-09-01), None
patent: 02/26033 (2002-04-01), None
Gardner, Jr. James P.
Holzman Louis Mark
Lund Kraig S.
Skaff Stephen X.
Ecolab Inc.
Merchant & Gould P.C.
Mullen Thomas
LandOfFree
Method and apparatus for capacitively sensing pests does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and apparatus for capacitively sensing pests, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for capacitively sensing pests will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3460546