About
Vedliot
As the Internet of Things (IoT) continues to take shape, promising widespread automation and data exchange, one of the biggest challenges is to act on the data generated. The amount of data collected is huge, the computational power required for processing is high, and the algorithms are complex. The EU-funded VEDLIoT project develops an IoT platform that uses deep learning algorithms distributed throughout the IoT continuum. The proposed new platform with innovative IoT architecture is expected to bring significant benefits to a large number of applications, including industrial robots, self-driving cars, and smart homes. The project offers an Open Call at project midterm, incorporating additional VEDLIoT-related industrial use-cases in the project, increasing the market readiness of the VEDLIoT solutions.
VEDLIOT
Platform
Hardware
Information to be added
Accelerators
Information to be added
Toolchain
Information to be added
USE
CASES
Industrial
The industrial use case employs DL-based solutions for motor condition monitoring and for arc detection, involving different challenges concerning the usage of DL models. In the former case it is necessary to comply with a ultra-low energy budget, and in the latter it is necessary to ensure a very low false-negative error rate.
Automotive
The automotive use-case focuses on increasing the processing efficiency DL tasks over the resources that are present in the traffic environment. This will be achieved through distribution of the processing tasks over resources such as the ego vehicle, cellular base station(s) in the close proximity, as well as the cloud.
Home
In the home domain, VEDLIoT will consider a virtual mirror application in which it will be necessary to deploy the software and execute DNN models on different kinds of hardware, namely at the edge (t.RECS) and on a specialized embedded platform (µ.RECS).
NEWS
Introducing Modular Runtime Flows to Kenning, by Antmicro
Antmicro developed a library aiming to simplify the workflow with machine learning applications on edge devices called Kenning. Based on a variety of practical edge AI use cases that we are working with on a daily basis, we have now expanded its functionality to...
Pedestrian detections
Veoneer is creating a data set for pedestrian detections, including varying poses and trajectories of the pedestrian as well as varying weather conditions. The data set will be utilised by the VEDLIoT project to demonstrate the benefits of distributed deep learning...
VEDLIoT at EU-IoT Training Workshops Series. November 9, 2021
VEDLIoT contributed once again to the EU-IoT Training Workshops Series, this time with a session on "Next Generation IoT Architectures”. The VEDLIoT presentation at the workshop, entitled "VEDLIoT Toolchain for Efficient Deep Learning on heterogeneous hardware”, was...
EVENTS
NGIoT Event: “EU-IoT Training Workshops Series: Next Generation IoT Architectures”
On November 9, 2021 @ 12:00pm - 2:40pm (CET) an EU-IoT Training Workshops Series organised by EU-IoT Project will take place online with the theme “Next Generation IoT Architectures” – Taking Full Advantage of Emerging IoT Technologies. The “"VEDLIoT Toolchain for...
VEDLIoT partners met face to face in Bielefeld for a General Assembly
VEDLIoT partners met this week at the University of Bielefeld for a project General Assembly that took place from Monday to Wednesday, (Sept. 6-8). After a long period of time during which all meetings were held on-line due to COVID-19, it was finally possible for...
IoT week 2021
The annual event IoT week organised by the IoT Forum is back this year for the 10th edition as an online event from August 30th to September 3rd. The key theme of this year will be defining the Next Generation IoT for a Sustainable Future. Registration is free and...