Patent · US Active

System and method for distributed neural networks on edge devices

US12056608B2 · kind B2 · utility

0Cited by

2References

19Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Thomas Rocznik · Mountain View, US
Akshay Malhotra · Arlington, US
Christian Peters · Mountain View, US
Rudolf Bichler · Eningen unter Achalm, DE
Robert Duerichen · North Hinksey, GB

Key dates

Filing date	Mar 20, 2020
Grant date	Aug 6, 2024
Priority date	—
Expiry date	Sep 21, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.