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Pest detector to identify a type of pest using machine learning
专利权人:
Shivshanker Somashekar Naimpally;Jace W. Files;John Trevor Morrison
发明人:
Jace W. Files,John Trevor Morrison,Shivshanker Somashekar Naimpally
申请号:
US16141519
公开号:
US10524461B1
申请日:
2018.09.25
申请国别(地区):
US
年份:
2020
代理人:
摘要:
In some implementations, a detector may include one or more sensors, one or more external indicators, one or more processors, and one or more non-transitory computer readable media storing instructions that are executable by the one or more processors to perform various operations. The operations may include detecting, by a motion sensor, movement associated with the pest and capturing, by a sensor (e.g., an imaging sensor) of the detector, sensor data (e.g., a digital image) of the pest. The operations may include determining, by a machine learning algorithm, that the sensor data indicates a presence of a pest, and sending a notification message to a computing device. The notification message may include at least a portion of the sensor data. The operations may include visually indicating, using a pest indicator of the one or more external indicators, that the pest was detected.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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