Patent ID: 11933709
Assignee: AIPORE INC.
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 9:
10. A system for particle identification, the system comprising:
the plurality of sensors according to claim 1; and
a computer device configured to receive, from each of the plurality of sensors, a physical property of each sensor, measurement data measured by each sensor, and a unique identifier for each sensor over a network, and save the received information in association with each other in a database, wherein
the computer device is configured to extract feature quantity information from measurement data related to a measurement of a known particle belonging to a known class performed by one or more of the plurality of sensors, generate a machine learning optimization parameter by treating at least the feature quantity information as teaching data, and save the generated machine learning optimization parameter in association with the unique identifier of each of the one or more sensors in the database, and
the computer device is configured such that, when identifying an unknown particle using a specific sensor from among the plurality of sensors, the computer device searches the database for a machine learning optimization parameter usable for identifying the unknown particle with the specific sensor, and if an available machine learning optimization parameter exists, the computer device transmits, over a network, a notification including a measurement condition under which a measurement of the unknown particle by the specific sensor should be performed on a basis of a physical property of a sensor associated with the unique identifier associated with the available machine learning optimization parameter, and causes the specific sensor to adjust the measurement condition.