Invention Grant
- Patent Title: Pest detector to identify a type of pest using machine learning
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Application No.: US16946201Application Date: 2020-06-10
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Publication No.: US11234427B2Publication Date: 2022-02-01
- Inventor: Jace W. Files , John Trevor Morrison , Shivshanker Somashekar Naimpally
- Applicant: Jace W. Files , John Trevor Morrison , Shivshanker Somashekar Naimpally
- Applicant Address: US TX Round Rock; US TX Round Rock; US TX Austin
- Assignee: Jace W. Files,John Trevor Morrison,Shivshanker Somashekar Naimpally
- Current Assignee: Jace W. Files,John Trevor Morrison,Shivshanker Somashekar 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 server may receive sensor data from a plurality of detectors, including receiving first sensor data from a first detector and second sensor data from a second detector. The server may use the sensor data to retrain a detector-based machine learning algorithm to create an updated detector-based machine learning algorithm. The server may send the updated detector-based machine learning algorithm to the first detector and the second detector. For example, the updated machine learning algorithm may be trained to identify at least one pest that the machine learning algorithm is incapable of identifying.
Public/Granted literature
- US20210153489A1 PEST DETECTOR TO IDENTIFY A TYPE OF PEST USING MACHINE LEARNING Public/Granted day:2021-05-27
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