- Patent Title: System and method for distributed neural networks on edge devices
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Application No.: US16825787Application Date: 2020-03-20
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Publication No.: US12056608B2Publication Date: 2024-08-06
- Inventor: Thomas Rocznik , Akshay Malhotra , Christian Peters , Rudolf Bichler , Robert Duerichen
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Brooks Kushman P.C.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F18/24 ; G06N3/045

Abstract:
A system and method is disclosed for classifying time-series data provided to a machine-learning model from a continuous sensor signal. The data may be “windowed” or “divided” into a smaller data segment using a first stage classifier where an “event of interest” may be identified. The first stage classifier may employ an algorithm that prohibits false negative identifications. The data segment detected as including an event of interest may then be transmitted to a second stage classifier operable to performs a full classification on the data segment. The multi-stage network may require less power and a less complex structure.
Public/Granted literature
- US20210295150A1 SYSTEM AND METHOD FOR DISTRIBUTED NEURAL NETWORKS ON EDGE DEVICES Public/Granted day:2021-09-23
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