Invention Application
- Patent Title: LEARNING METHOD FOR THE DETECTION OF ANOMALIES IMPLEMENTED ON A MICROCONTROLLER AND ASSOCIATED METHOD FOR DETECTING ANOMALIES
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Application No.: US17660548Application Date: 2022-04-25
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Publication No.: US20220245046A1Publication Date: 2022-08-04
- Inventor: Francois De Rochebouet , He Huang
- Applicant: Cartesiam
- Applicant Address: FR Toulon
- Assignee: Cartesiam
- Current Assignee: Cartesiam
- Current Assignee Address: FR Toulon
- Priority: FR1905293 20190521
- Main IPC: G06F11/32
- IPC: G06F11/32 ; G06F9/50 ; G06F11/30 ; G06K9/62
Abstract:
A learning method detects anomalies and is implemented on a microcontroller including at least one memory, the microcontroller being configured to receive data sets coming from at least one sensor, the memory being configured to store a maximum number of categories, a category including at least a signature and an occurrence.
Public/Granted literature
Information query
