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 at Stockholm Tech Live 2022, May 11-12

VEDLIoT at Stockholm Tech Live 2022, May 11-12

On 11 May, Hans Solomonsson (Embedl) presented “Challenges in developing cost and energy efficient deep learning systems in embedded system” at the AI & Big Data summit at Stockholm Tech Live 2022. The presentation is available at our SlideShare channel. Take a...

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VEDLIoT at HiPEAC CSW, April 27

VEDLIoT at HiPEAC CSW, April 27

It was with great pleasure that VEDLIoT organized a session with HiPEAC CSW, last week, April 27 from 11:30 – 13:00 (EEST), in Tampere, Finland. The session, entitled HAccIoT: Heterogeneous Hardware Acceleration for Edge and IoT, was opened by Pedro Trancoso...

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EVENTS

VEDLIoT at Stockholm Tech Live 2022, May 11-12

VEDLIoT at Stockholm Tech Live 2022, May 11-12

This week, VEDLIoT will be present in Stockholm Tech Live 2022 (May 11-12). On 11 May, Hans Solomonsson (Embedl) will present Challenges in developing cost and energy efficient deep learning systems in embedded system on AI & Big Data summit. Also, learn more...

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VEDLIoT at HiPEAC CSW, April 26-28

VEDLIoT at HiPEAC CSW, April 26-28

Next week, VEDLIoT will be present in HiPEAC CSW in Tampere, Finland (April 26-28). Look for our thematic session, HAccIoT: Heterogeneous Hardware Acceleration for Edge and IoT, on Wednesday, April 27, from 11:30 – 13:00 (EEST) / 10:30 – 12:00 (CEST). The agenda...

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VEDLIoT Open – Webinar took place on March 25th, 2022

VEDLIoT Open – Webinar took place on March 25th, 2022

The VEDLIoT Open – Webinar took place on March 25th 2022, at 3.30pm – 4.30pm (CET), and both presentation and video are now available. The VEDLIoT-Open call for cascaded funding is foreseen to explore new opportunities by extending the application of the VEDLIoT...

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