IP Library Granted Patent US 12694779
Granted Patent B2
US 12694779 · App. 18/815,631 · Granted Jul 28, 2026

Pest control system having event monitoring

Inventors: Joe Triventi (Toronto, CA); Volodimir Bondarenko (Toronto, CA); Gavin Singh (Toronto, CA); Clemente Receno (Toronto, CA); Peter Zosimadis (Toronto, CA); Mike Zosimadis (Toronto, CA); Andrew Hunt (Toronto, CA)
Assignee: Smart Wave Technologies, Inc.
G08B25/009A01M23/38G08B13/26G08B29/185
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Quick Facts
Patent No.
US 12694779
App. No.
18/815,631
Granted
Jul 28, 2026
Kind
B2
Abstract

Pest control systems and methods are described. The systems include a portable electronic device which is configured to identify one or more of multiple PCDs within a range of a portable electric device which have been activated, and to provide an indication to a user corresponding to at least one of the identified activated PCDs.

Claims (17)

1 . A system comprising:

a pest control device (PCD) having at least one sensor configured to a PCD controller and a wireless communication system, the PCD controller configured to:

set initial sensor thresholds for each of an activation signal and movement signal for the at least one sensor;

record raw data of activation and movement signals and conduct preliminary filtering of the raw data based on a current filtering algorithm to produce filtered data and store the filtered data for subsequent download wherein the raw data is analyzed to determine whether or not the combination of movement and activation signal data is a live event or a non-live event; and

a portable device (PD) configured to communicate with the PCD, the PD having a PD controller configured to provide information regarding a status of the PCD and to make pattern recognition decisions based on live event and non-live event data received from the PCD and pattern recognition algorithms and libraries within the PD.

2 . The system as in claim 1 wherein the PCD controller is configured such that, if a live or non-live event is determined to have occurred, marking and storing each event as a live event or non-live event.

3 . The system as in claim 2 wherein the PCD controller is configured to upload live event and non-live event data to a communication system when the communication system is in range of the PCD.

4 . The system as in claim 3 wherein the PCD controller is configured to discard non-live event data.

5 . The system as in claim 1 wherein the PCD controller is configured to initially transmit data in a learning phase to a central computer system (CCS).

6 . The system as in claim 1 wherein the PD is configured to enable an agent to mark false positive and false negative data received from a PCD.

7 . The system as in claim 1 wherein the PCD controller is configured to analyze combinations of movement and activation signals within pre-defined time periods and where number and frequency variations of movement and activation signals within the pre-defined time periods are evaluated to determine whether or not the combination of movement and activation signal data is a live event or a non-live event.

8 . The system as in claim 1 wherein the PCD controller is further configured to dynamically adjust the at least one sensor to adjust an activation threshold for an activation signal.

9 . The system as in claim 5 wherein the CCS is configured to back test a CCS algorithm on raw data to determine the effectiveness of the CCS algorithm on reducing the frequency of false-positive and false-negative events.

10 . The system as in claim 9 wherein the CCS is configured to update each PCD and PD with adjusted filtering and analysis algorithms.

11 . The system as in claim 1 wherein the PD controller is configured to filter raw data to determine whether a PCD requires attention.

12 . The system as in claim 1 further comprising at least one mesh communication node device operatively connected to at least one PCD and wherein communication between the at least one PCD, mesh communication node device and CCS is continuous.

13 . The system as in claim 1 wherein the PCD controller is configured to filter raw data to determine whether a PCD requires attention.