Invention Grant
- Patent Title: Pest detector to identify a type of pest using machine learning
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Application No.: US16946204Application Date: 2020-06-10
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Publication No.: US11234428B2Publication Date: 2022-02-01
- Inventor: Jace W. Files , John Trevor Morrison , Shivshanker Someshekar Naimpally
- Applicant: Jace W. Files , John Trevor Morrison , Shivshanker Someshekar Naimpally
- Applicant Address: US TX Round Rock; US TX Round Rock; US TX Austin
- Assignee: Jace W. Files,John Trevor Morrison,Shivshanker Someshekar Naimpally
- Current Assignee: Jace W. Files,John Trevor Morrison,Shivshanker Someshekar Naimpally
- Current Assignee Address: US TX Round Rock; US TX Round Rock; US TX Austin
- Agent Shiv S. Naimpally
- Main IPC: A01M1/02
- IPC: A01M1/02 ; G06K9/00 ; G06F9/54 ; G01S13/88 ; G06F1/3206 ; G06N20/00

Abstract:
In some implementations, a computing device may receive a notification from a pest detector. In response, the computing device may initiate execution of a software application and display a user interface. The user interface may enable playback of the notification, such as displaying a photograph of a pest or playing back audio of noise made by the pest. The user interface may display a floor plan of a building along with a location of the pest detector and additional locations of additional pest detectors located in the building superimposed on the floor plan. The user interface may enable selecting a particular building of multiple buildings, a particular floor of multiple floors, or a particular room of multiple rooms. The user interface may display where pests have been detected superimposed on the floor plan.
Public/Granted literature
- US20210153490A1 PEST DETECTOR TO IDENTIFY A TYPE OF PEST USING MACHINE LEARNING Public/Granted day:2021-05-27
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