The COVID-19 pandemic forced us to run the 3rd Future-IoT PhD school fully online. This article and the accompanying video detail our solution.
Luckily the efforts started last year in Munich with live streaming already, giving us some experience that we pushed at least one step further. Find the resulting videos of this year here.
The main challenge was that we had three audiences and the speakers, (1) very limited local live audience, (2) remote closed audience, (3) remote free audience, and (4) remote and local speakers. All needed to be handled live.
Another challenge was, how to get a high quality video of the slides as typical screen sharing tends not to be that good and fluent.
- The main equipment was:
- 1x Atem mini (for mixing the main video input)
- 1x Atem mini pro (for output recording and live streaming)
- 1x Elgato CamLink 4K (for bringing the remote speakers in)
- 1x Linux PC with OBS (for the main video processing)
- 1x Notebook Slides (with remote control for having high quality slide image)
- 1x Notebook local speaker / moderation
- 1x Notebook video player (for standby videos)
The 2 Atem minis and OBS, this setup realised a continuous live stream and in parallel single streams per talk. We had remote audience via Zoom and YouTube, Facebook, Twitter. In addition, remote speakers and local speakers as well as local audience.
The video explains the setup more in detail. Enjoy, and comment how you like it!
Marc-Oliver Pahl (https://s2labs.org/) is research director at the Institute Mines Télécom (IMT) Atlantique, Rennes campus, France. He is the chair holder and research director of the industrial chair “Cyber CNI” that focuses on Cybersecurity for industrial applications. Marc-Oliver also heads the IoT smart space team at Technical University of Munich (TUM), Germany. He is the coordinator of the digital teaching activities of the German-French Academy for the industry of the future (GFA). Marc-Oliver is the scientific vice president of the German chapter of the Association for Computing Machinery (ACM).
Marc-Oliver does Internet of Things (IoT) research since 2008 with a focus on data and service management in edge or local installations. His focus is on security, usability, reliability and resilience. Typical research methodologies include autonomous management, modularization, security-by-design, and data and service modeling. His commonly applied tools include system design and evaluation, machine learning, and distributed ledgers.
In the past, Marc-Oliver coordinated research projects on all levels from more than 20 international partner EU projects to local bilateral industry collaborations. He held most positions in major scientific conferences. His primary research community is the networks and service management community. He is a continuous member of the Technical Program Committee (TPC) of several major conferences.
Marc-Oliver is continuously teaching at university level since 2003. He holds multiple teaching prices. He supervised more than 150 individual students and several thousands in classroom courses. His biggest teaching project is the iLab series that teaches how distributed networked systems work starting from the Internet going towards novel concepts such as Information Centric Networks and specialization domains such as the Internet of Things. More teaching projects such as the Massive Open Online Course (MOOC) “iLabX – The Internet Masterclass” (https://ilabx.ilabxp.com/), or the summer school series on “Future Internet of Things” can be found on https://future-iot.org/.
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