The EU-IoT Hackathon focuses on “sustainable next generation IoT applications”. We invite you to bring your ideas and to develop solutions that address IoT skills training, IoT sustainable business models, IoT novel technical solutions in the context of 6 challenge domains: IoT interfaces, far Edge, near Edge, infrastructure, and also: a specific challenge domain of the European Factory Platform (EFPF), with focus on manufacturing. It will take place between 27th-28th June 2022, in Munich (Germany). The hackathon is co-located with CONASENSE2022.

The aim of the EU-IoT Hackathon is to disseminate new business ideas, experiments and prototypes as first step to best support next generation sustainable IoT solutions.

The teams shall have the opportunity to develop their ideas within an international flagship environment being mentored by several international experts from the Next Generation IoT (NGIoT) community and being in contact with NGIoT community flagship events.

Types of projects
  • Technical projects: where the focus is on the development of a technical solution to address the challenge. The outcome shall be provided in the form of open-source code to be uploaded to the EU-IoT Hackathon git repository.
  • Training skills projects: where the focus is on the development of a training tool to be available online which addresses the specific proposed challenge. Outcome can be: a Web-based training tool; a Tutorial (e.g., PowerPoint, video), etc.
  • Prototype Business/Design ideas: where the focus is on the development of a business framework for an IoT solution.
Awards
  • EU-IoT Challenges Award – UnternehmerTUM Makerspace Award – first prize. Corresponds to 1 year membership for incubation in the UnternehmerTUM Makerspace in Munich for the best project overall, across all domains and project categories.
  • EU-IoT Challenges Award – IoT Week 2023 Ticket – second prize. One free registration for 1 person of a team, full programme of the IoT Week 2023.
  • EU-IoT Challenges Award IoT-starter kit – All winning teams (3). IoT starter kit provided to each team member of the 3 winning teams
  • EFPF Challenges Award – 1st prize. 1 smartphone valued at 600 Euros.
  • EFPF Challenges Award – 2nd prize. Smart home kit valued at 300 Euros.
  • EFPF Challenges Award – 3rd prize. IoT starter kit valued at 200 Euros
  • EFPF Challenges Award – 4th prize. IoT starter it valued at 100 Euros.

Deadlines

  • Team registration and challenge selection: 15.05.2022
  • EU-IoT Hackathon preparation event (online): 27.05.2022
  • Hackathon: 27th-28th 2022, co-located with the CONASENSE 2022 symposium in Munich, Germany

If you are interested:

Committees:

Organizers: fortiss GmbH (Mitula Donga, Rute C. Sofia); UnternhemerTUM Makerspace GmbH (Florian Küster)

Technical Committees :
EU-IoT Committee: Rute Sofia (fortiss), Lamprini Kolovou (Martel); John Soldatos (Intracom); Mirko Presser (Aarhus University); Brendan Rowan (Bluspecs)
EFPF Committee: Mitula Donga (fortiss), Alexandros Nizami (ITI-CERTH), Florian Jasche (Fraunhofer FIT), Ingo Martens (Hanse Aerospace); Carlos Coutinho (Caixa Mágica), Usman Wajid (Information Catalyst)

Requirements

Types of projects
  • Technical projects: where the focus is on the development of a technical solution to address the challenge. The outcome shall be provided in the form of open-source code to be uploaded to the EU-IoT Hackathon git repository.
  • Training skills projects: where the focus is on the development of a training tool to be available online which addresses the specific proposed challenge. Outcome can be: a Web-based training tool; a Tutorial (e.g., PowerPoint, video), etc.
  • Prototype Business/Design ideas: where the focus is on the development of a business framework for an IoT solution.
Challenge Domains IoT Interfaces: Augmented Reality Interfaces based on the Smart Mirror concept

Smart mirrors are a common tool in environments such as home automation, or even retail. The starting point for this challenge is the use of a smart mirror as an IoT hub to the real world.
The aim is to integrate new features (feedback to the user) that can improve efficiency and provide a better quality of experience for the user in different environments, e.g., at home, at retail stores (example01 , example02) , in the car (example03) , on the go.

  Far Edge: Sustainable IoT via TinyML

Tiny machine learning (TinyML) relates with the application of ML on constrained devices with low power, to perform data analytics without necessarily being connected to the Cloud.
TinyML projects focusing on this challenge are expected to address IoT solutions on the far Edge that could improve detection of collective health abnormal situations, for instance, persons without a mask on a room; abnormal temperature levels in a school; abnormal environmental situations, e.g., a potential fire; analysis of plants health, etc.
The application domains are varied: agriculture, industry, buildings, healthcare, etc.

  Near Edge: Sustainable MEC applications

The aim of this track is to think and develop a project focused on how to best develop Edge-based sustainable services that rely on the ETSI MEC framework.

  Infrastructure: Simulating Time-sensitive and Deterministic networking IoT applications

The focus of this track is to propose a service that can best demonstrate the support of real-time applications across deterministic heterogeneous environments. Specifically, you will be working with the fortiss ns-3 deterministic wireless/wired framework, and have the possibility to develop a concrete use-case.

  Data Spaces: Sustainable, user-centric smart mobility

The focus of this challenge is to, based on the analysis of mobility data, come up with ideas and apps that may assist a better functioning of a smart region.
This may relate, for instance, on the development of a solution that can provide real-time information about points of interest in a city.
It may also relate with a platform, such as a dashboard, that, via data fusion and analytics, can benefit a smart city services.
Relevant to address are solutions that can improve sustainability and a green lifestyle.

  European Factory Platform

IoT services for Manufacturing

  • Sub-challenge EFPF1: Semantic matchmaking for the support of environmental monitoring of the shop-floor. You will be using the open-source EFPF TSMatch gateway to improve the existing apps, or to improve the interconnection between TSMatch and the EFPF Data spine.
  • Sub-challenge EFPF2: Evaluate the EFPF SDK in developing digital smart manufacturing applications. You will be using the EFPF SDK studio to create applications.
  • Sub-challenge EFPF3: Evaluate the usability of the Data Spine for the creation of composite applications. You will be testing the EFPF Data Spine and its usability, proposing specific improvements.
  • Sub-challenge EFPF4: Analyse industrial data coming from EFPF partners and provide insights based on the EFPF analytics tools. You will be working with open-source Machine Learning Libraries and propose applications for the visualization and analysis of industrial data.

 

Hackathon Sponsors

Prizes

14,720 in prizes

EU-IoT Challenges Award - UnternehmerTUM Makerspace Award - 1st Prize

Corresponds to 1 year membership for incubation in the UnternehmerTUM Makerspace in Munich for the best project overall, across all domains and project categories.

EU-IoT Challenges Award - IoT Week 2023 Ticket - 2nd Prize

One free registration for 1 person of a team, full programme of the IoT Week 2023.

EU-IoT Challenges Award IoT-Starter Kit - All Winning Teams (3)

IoT starter Kit provided to each team member of the 3 winning teams.

EFPF Challenges Award - 1st prize

1 Smartphone valued on 600 Euros.

EFPF Challenges Award - 2nd prize

Smart Home Kit valued at 300€

EFPF Challenges Award - 3rd prize

3rd Prize: IoT Starter Kit valued at 200€

EFPF Challenges Award - 4th prize

IoT starter kit valued at 100€

Infineon IoT Kit 1 10 Best Technical Teams (10)

CY8CKIT-062S2-43012 and 10x CY8CKIT-028-SENSE. The PSoC™ 62S2 Wi-Fi BT Pioneer Kit (CY8CKIT-062S2-43012) is a low-cost hardware platform that enables design and debug of the PSoC™ 62 MCU and the Murata 1LV Module (CYW43012 Wi-Fi + Bluetooth Combo Chip). The IoT sense expansion kit (Y8CKIT-028-SENSE) is a low-cost Arduino™ UNO compatible shield board that can be used to easily interface a variety of sensors with the PSoC™ 6 MCU platform, specifically targeted for audio and machine learning applications.

Infineon IoT KIt 2 - 15 Best Technical Teams (15)

CY8CPROTO-062-4343W. PSoC™ 6 Wi-Fi BT Prototyping Kit (CY8CPROTO-062-4343W) is a low-cost hardware platform that enables design and debug of PSoC™ 6 MCUs. It comes with a CY8CMOD-062-4343W module, industry-leading CAPSENSE™ for touch buttons and slider, on-board debugger/programmer with KitProg3, microSD card interface, 512-Mb Quad-SPI NOR flash, PDM microphone, and a thermistor. It also includes a Murata LBEE5KL1DX module, based on the CYW4343W combo device.

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Mario Porrmann

Mario Porrmann
University of Osnabrück

Josep Escrig

Josep Escrig
i2CAT

Jonathan Klimt

Jonathan Klimt
Aachen University

Ilias Siniosoglou

Ilias Siniosoglou
University of Western Macedonia

Arne Bröring

Arne Bröring
Siemens AG

Alexandros Nizamis

Alexandros Nizamis
ITI-CERTH

Florian Jasche

Florian Jasche
Fraunhofer FIT

Ingo Martens

Ingo Martens
Hanse Aerospace

Carlos Coutinho

Carlos Coutinho
Caixa Magica Software

Usman Wajid

Usman Wajid
Information Catalyst

Daniel Calvo

Daniel Calvo
Atos

Jens Hagenmeyer

Jens Hagenmeyer
University of Bielefeld

Judging Criteria

  • Technical Project Evaluation Criteria
    Refer to the rules for percentages and explanation on each criteria: - Novelty - Reusability - Usability - Community impact
  • Skills Training Project Evaluation Criteria
    Refer to the rules for percentages and explanation on each criteria: - Novelty - Reusability - Reach - Resources - Quality
  • Business Project Evaluation Criteria
    - Value proposition - Market Value - Creativity - Feasibility - Quality/presentation - Sustainability

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