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InSecTT General Poster

by Manuela Klocker | Apr 28, 2022

InSecTT General Poster

InSecTT Newsletter April 2022

by Manuela Klocker | Apr 28, 2022

InSecTT Newsletter April 2022

InSecTT Newsletter January 2022

by Manuela Klocker | Jan 13, 2022

InSecTT Newsletter January 2022

InSecTT Demonstrator Booklet

by Manuela Klocker | Oct 11, 2021

InSecTT Demonstrator Booklet

InSecTT Use Case Booklet

by Manuela Klocker | Oct 11, 2021

InSecTT Use Case Booklet
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InSecTT – Intelligent Secure Trustable Things: a pan-European effort with 52 key partners from 12 countries (EU and Turkey).

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Avatar InSecTT Project @insecttproject ·
20 Jun

InSecTT Project Coordinator Michael Karner (Virtual Vehicle) will present the InSecTT project and give a talk about "Bringing Internet of Things and Artificial Intelligence together – But is it Trustworthy?" at IoT Week 2022 taking place in Dublin, Ireland.

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Avatar InSecTT Project @insecttproject ·
15 Jun

Thanks a lot, to the people from Gdansk University of Technology and Interizon ICT Cluster for hosting our meeting in Gdansk!
We will be happy to come back soon.
#InSecTT #GUT #Interizon

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Avatar InSecTT Project @insecttproject ·
15 Jun

Silicon Austria Labs has developed methods to track active Bluetooth Low Energy connections over time and predict future collisions with the own network. By listening to only one BLE channel the algorithm is able to reconstruct the connection.
Read more: https://buff.ly/3tjcSWs

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Avatar InSecTT Project @insecttproject ·
10 Jun

Researchers at #SAL & #GUT have developed an algorithm that provides a hierarchical structure of the network sorted in layers of relay nodes, where each relay node is capable to operate either in omnidirectional or directional mode by utilizing a antenna https://buff.ly/3H45YtV

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Avatar InSecTT Project @insecttproject ·
6 Jun

RISE Research Institutes of Sweden is leading a use case on "Driver Monitoring and Distraction Detection using AI" in the InSecTT. Researchers from RISE are working together with partners to improve driver distraction detection processes in order to reduce risks and accidents.

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Acknowledgement

InSecTT has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876038. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Sweden, Spain, Italy, France, Portugal, Ireland, Finland, Slovenia, Poland, Netherlands, Turkey.

Disclaimer

The website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

ECSEL Joint Undertaking

Coordinated by Virtual Vehicle Research GmbH

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European Commission

© 2020 InSecTT. Going to the edge - Bringing Internet of Things and Artificial Intelligence together

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