Pest detector to identify a type of pest using machine learning
US10524461B1 · kind B1 · utility
Inventors
Key dates
| Filing date | Sep 25, 2018 |
| Grant date | Jan 7, 2020 |
| Priority date | — |
| Expiry date | Sep 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.