Very Efficient Deep Learning in IoT

Teaching the IoT to learn

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

SRDS’21 Best Paper Award

SRDS’21 Best Paper Award

We are happy to announce that our colleagues from LASIGE, at the Faculty of Sciences of the University of Lisbon, won the best paper award at SRDS'21 for a paper that they co-authored, entitled "Making Reads in BFT State Machine Replication Fast, Linearizable, and...

read more
Open calls in IoT week 2021

Open calls in IoT week 2021

Mark your calendars! 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. During...

read more

EVENTS

IoT week 2021

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...

read more