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

The success story of VEDLIoT’s Smart Mirror

The success story of VEDLIoT’s Smart Mirror

Have you heard about the Smart Mirror? The Smart Mirror relies on a modular hardware platform that can be used in a range of IoT applications, which is being developed as part of the VEDLIoT project. We invite you to read the article "Bielefeld University - Smart...

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VEDLIoT at HiPEAC 2023, January 16-18 (Toulouse, France)

VEDLIoT at HiPEAC 2023, January 16-18 (Toulouse, France)

VEDLIoT had a strong presence at HiPEAC 2023. At the VEDLIoT booth the visitors could find the multiple hardware platforms developed and being used in the project, as well as the smart mirror demo, which is being continuously improved. Several VEDLIoT posters were...

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EVENTS

VEDLIoT AT HiPEAC 2023, January 16-18

VEDLIoT AT HiPEAC 2023, January 16-18

We are one week away from the HiPEAC conference and we are excited about it! On January 17th, from 2pm to 5.30pm (CET), join the 2nd edition of the DL4IoT: Workshop on Deep Learning for IoT. The programme is available at the following...

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VEDLIoT at Embedded World 2022, June 21-23

VEDLIoT at Embedded World 2022, June 21-23

From 21 to 23 of June, find us at Embedded World 2022, Nuremberg. VEDLIoT will be present with an individual booth - Booth 5-202 (Hall 5, Booth 202) - and will participate in activities planned at the Congatec booth - Booth 5-135 (Hall 5, Booth 135). Come and meet...

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