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
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
Simplifying accelerator integration for FPGA-based edge AI solutions with Accelerator Interface Generator, by Antmicro
Antmicro published a new article titled Simplifying accelerator integration for FPGA-based edge AI solutions with Accelerator Interface Generator. The Accelerator Interface Generator (AIG), a configurable vendor-independent tool designed to stream-interface...
VEDLIoT at OPODIS’23, December 6-8 (Tokyo, Japan)
VEDLIoT has had a paper accepted for the 27th Conference on Principicles of Distributed Systems (OPODIS'23) which will take place this week, from 6 to 8 December 2023, in Tokyo, Japan. The title of the paper is "A Holistic Approach for Trustworthy Distributed Systems...
VEDLIoT’s contribution to recent book on Edge Intelligence and IoT
VEDLIoT announces its contributions in a new book focused on the technologies behind edge intelligence and their applications in IoT, named "Shaping the Future of IoT with Edge Intelligence – How Edge Computing Enables the Next Generation of IoT Applications", whose...
EVENTS
VEDLIoT’s 5th Project General Assembly. Amsterdam, September 27
Since we were in Amsterdam to take part in the IoT Tech Expo, we took the opportunity to co-locate the project’s General Assembly on September 27. Although all the partners were on site, the meeting was organised in hybrid mode to allow some people to participate...
IoT Tech Expo, 26-27 September
We had two very busy and exciting days last week at the IoT Tech Expo in Amsterdam, 26 and 27 September. On the first day of the event, VEDLIoT organised a workshop bringing together all the 10 Open Call (OC) projects, who had the opportunity to present their final...
IEEE SOCC 2023, 5-8 September
From 5 to 8 September 2023, VEDLIoT took part in a valuable experience at the 36th IEEE International System-On-Chip Conference (SOCC) in Hyatt Regency Santa Clara, CA, USA. Kevin Mika (UNIBI) presented the paper RECS: A Scable Platform for Heterogeneous Computing by...