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.

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

VEDLIoT article on the Innovation News Network

VEDLIoT article on the Innovation News Network

We are pleased to inform you that we have been invited to share an article on the Innovation News Network. We have prepared an article on Unlocking the potential of IoT systems: The role of deep learning and AI and it is now available. The topics covered include:...

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VEDLIoT @ IoT Tech Expo – Agenda

VEDLIoT @ IoT Tech Expo – Agenda

The agenda for the VEDLIoT event on September 26 at IoT Tech Expo Europe 2023 in Amsterdam is now available. The agenda features presentations given by the 10 VEDLIoT Open Call projects, 4 presentations with highlights on key contributions of VEDLIoT related to Deep...

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DEBS 2023

DEBS 2023

The University of Neuchâtel (UNINE), partner of the VEDLIoT project, recently played host to the 17th ACM International Conference on Distributed and Event-based Systems (DEBS'23), from 27 to 30 June, in Neuchâtel (Switzerland). Among many papers, the University of...

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EVENTS

IoT Tech Expo, 26-27 September

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...

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IEEE SOCC 2023, 5-8 September

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...

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