A VENDOR-AGNOSTIC IOT SOLUTION TO EASILY MANAGE DATA ACROSS A FLEET OF ASSETS FROM DIFFERENT MANUFACTURERS
Managing intelligent data logging on large fleets of locomotives
REQUIREMENTS AND CHALLENGES
Our customer needed to connect on-board assets and systems from different manufacturers through MVB (Multi-function Vehicle Bus) protocol. They needed to find the easiest way to create and manage the digital twin of edge assets and edge-to-cloud analytics. All edge computers, that could connect to the cloud and perform local analytics, had to be rail-certified
WHAT WE PROVIDED
- Rugged, railway-certified edge gateways providing effective data logging in a highly distributed environment
- Our IoT Edge Framework ESF (Everyware Software Framework) provided ready-to-use protocol libraries for plug-and-play MVB data acquisition and no-code/low-code edge processing
- Seamless and hassle-free cloud connectivity for data management and device monitoring
HOW THE CUSTOMER MET THEIR GOALS
We enabled our customer to build an end-to-end solution, with instant digital twins and perform remote monitoring of hundreds of locomotives thanks to our Edge Framework ESF (Everyware Software Framework)
WHY IT WAS AGNOSTIC
open-source platforms to enable connectivity amongst assets and systems from different manufacturers – integrating them in a single, end-to-end solution
tailored solutions implemented in this case study
SIMPLIFY THE DEPLOYMENT OF ANY AI AT THE EDGE
Enabling advanced video analytics to detect early signs of extreme weather events
Our partner WaterView needed a reliable platform to deploy its AI software on existing IP cameras. This transformed them into smart sensors to detect early signs and anticipate the damages of heavy extreme weather events such as rain and snow, floods, and also wildfires.
REQUIREMENTS AND CHALLENGES
WaterView needed a configurable and manageable solution to deploy AI-powered video analytics software on top of container orchestrator. Their solution enables the retrofitting of existing infrastructures of IP cameras and turn them into intelligent sensors. The solution grants secure software OTA (over-the-air) updates, device, and configuration remote management
WHAT WE PROVIDED
- Edge gateways integrated with our IoT Edge Framework ESF (Everyware Software Framework) for simple, plug & play deployment of AI software – up and running in minutes at the edge
- Everyware Cloud, our Edge Management Platform for secure remote management and over-the-air updates
HOW THE CUSTOMER MET THEIR GOALS
We were able to host WaterView’s AI on Docker containers, natively integrated and easily managed by ESF. Integration and remote management efforts have been dramatically reduced: WaterView was able to deploy their solution in days instead of months
WHY IT WAS AGNOSTIC
- we provide an open platform to deploy any AI and software at the edge
- ESF allowing interoperability among WaterViews’s different AI software: snowCAM, floodCAM and smoCAM
- a solution certified to connect to multiple cloud services simultaneously (including AWS IoT and Microsoft Azure IoT)
tailored solutions implemented in this case study
