	US 12,010,178 B2
	Intelligent edge computing platform with machine learning capability
Abhishek Sharma, Mountain View, CA (US); and Sastry K M Malladi, Fremont, CA (US)
Assigned to Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed by Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed on Mar. 24, 2023, as Appl. No. 18/125,954.
Application 18/125,954 is a continuation of application No. 16/379,700, filed on Apr. 9, 2019, granted, now 11,616,839.
Prior Publication US 2023/0300195 A1, Sep. 21, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/12 (2022.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G16Y 40/20 (2020.01); H04L 67/00 (2022.01)

CPC H04L 67/12 (2013.01) [G06F 18/2148 (2023.01); G06F 18/251 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G16Y 40/20 (2020.01); H04L 67/34 (2013.01)]

19 Claims

1. A method comprising:

providing an edge platform connected to a local network between a plurality of sensors and a remote network;

using an edge converter creating an edge-converted machine learning model, wherein the edge-converted machine learning model comprises analytics expressions of an analytics expression language that are operable to process streams of data in real-time;

providing the edge-converted machine learning model on the edge platform;

receiving a first sensor data stream from a first sensor of the plurality of sensors at the edge platform;

at the edge platform without first transmitting the first sensor data stream to the remote network for processing:

executing the edge-converted machine learning model at least partially in a complex event processing engine to operate on the first sensor data stream in real-time and produce a stream of first inferences about a first network device of a plurality of network devices; and

determining based on the stream of first inferences whether to take an action regarding the first network device without first communicating the inferences to the remote network.