- 专利标题: PEST DETECTOR TO IDENTIFY A TYPE OF PEST USING MACHINE LEARNING
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申请号: US16946205申请日: 2020-06-10
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公开(公告)号: US20210153491A1公开(公告)日: 2021-05-27
- 发明人: Jace W. Files , John Trevor Morrison , Shivshanker Somashekar Naimpally
- 申请人: Jace W. Files , John Trevor Morrison , Shivshanker Somashekar Naimpally
- 申请人地址: US TX Austin; US TX Round Rock; US TX Austin
- 专利权人: Jace W. Files,John Trevor Morrison,Shivshanker Somashekar Naimpally
- 当前专利权人: Jace W. Files,John Trevor Morrison,Shivshanker Somashekar Naimpally
- 当前专利权人地址: US TX Austin; US TX Round Rock; US TX Austin
- 主分类号: A01M1/02
- IPC分类号: A01M1/02 ; G06K9/00 ; G06F9/54 ; G01S13/88 ; G06F1/3206 ; G06N20/00
摘要:
In some implementations, a pest detector may receive sensor data from a sensor. The pest detector may determine, using a machine learning algorithm, that the sensor data indicates a presence of a first type of pest. The pest detector may send a notification message, including at least a portion of the sensor data, to a computing device and visually indicate that the first type of pest was detected using an indicator. The pest detector may receive an update to the machine learning algorithm from a server and install the update to create an updated machine learning algorithm. The pest detector may receive second sensor data and determine, using the updated machine learning algorithm, that the second sensor data indicates the presence of a second type of pest that is not recognized by the machine learning algorithm.
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