https://github.com/datavenueliveobjects/liveobjectshelperforvideotutorials
https://github.com/datavenueliveobjects/liveobjectshelperforvideotutorials
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/datavenueliveobjects/liveobjectshelperforvideotutorials
- Owner: DatavenueLiveObjects
- License: other
- Created: 2020-11-26T10:41:56.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-09-06T11:11:53.000Z (over 1 year ago)
- Last Synced: 2025-02-06T15:53:31.376Z (3 months ago)
- Language: C++
- Size: 18.6 KB
- Stars: 0
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LiveObjectsHelper
- Software Name : Live Objects Helper
- Version: 1.0
- SPDX-FileCopyrightText: Copyright (c) 2020-2022 Orange Business Services
- SPDX-License-Identifier: BSD-3-Clause
- This software is distributed under the BSD-3-Clause,
the text of which is available at https://opensource.org/licenses/BSD-3-Clause
or see the "LICENCE" file for more details.
- Software description: Various resources to help using Orange Live ObjectsThis repository provides resources, that are presented in Orange Live Objects channel on Youtube, and that will allow one to make use of powerful extended features. The external connector brings cloud-to-cloud and IoT-devices-gateway connectivity in a native way. The custom pipelines and the CellID geolocation add a great way to amend the data while in transit, a just-in-time enrichment of device messages before they are stored or forwarded. While field device management is made easy with remote commands, either one-by-one or with massive amounts of objects.
## External Connector
You want to use some devices, but you cannot adapt their firmware, or their protocol is not natively understood by Live Objects? The external connector is made for you. You will be able to collect data and do device management of those devices through their cloud.Get in the [corresponding folder](External%20Connector) the resources used in the video https://youtu.be/nvNhTMuTyJU .
- frames used in the demo
- reference links## Custom Pipelines
You can enrich you IoT data with external services, decode or transform the messages using an external development.Get in the [corresponding folder](Custom%20Pipelines) the resources used in the video https://youtu.be/rpqjJiu0H3A .
- Postman collection to test webservices
- NodeRed flow
- PHP sample
- frames used in the demo
- reference links## CellID Geolocation
Learn how Live Objects can localise your device when receiving cell-ID info.Get in the [corresponding folder](CellId%20Geoloc) the resources used in the video https://youtu.be/Ps0NpuCyiHw .
- Arduino MKR GSM 1400 library file used in the demo
- reference links## Remote Commands
Have a closer look on device management & remote actions, applied to MQTT / SMS / LoRa / ExtConnector devices. Learn events and campaigns.Get in the [corresponding folder](Remote%20Commands) the resources used in the video https://youtu.be/2YOFcHLEQGs .
- reference links## Lightweight-M2M
LwM2M is the new feature allowing cellular devices to connect to Live Objects in a standard and efficient way.Get in the [corresponding folder](LwM2M) the resources used in the video https://youtu.be/-DlmF70aKLQ .
- reference links## Lightweight-M2M, Bootstrap & Fota
LwM2M offers extended features for security, provisioning and firmware management. Live Objects automates those.Get in the [corresponding folder](LwM2M BsFota) the resources used in the video https://youtu.be/i7LGEnWS-fE .
- reference links