Judging

The judging panel will be Heidi & Martin from Nordic Semiconductor who will be judging all projects submitted into the contest and Adam Benzion from Edge Impulse who will be judging the Machine Learning bonus prize.

Heidi Sollie has a Master of Science degree in Cybernetics Engineer from the Norwegian University of Science & Technology. She’s been at Nordic for two years, previously working as an Application Engineer in the Technical Support group, with a focus on the nRF91 series, nRF Connect SDK and Cellular IoT. Now her focus is helping customers with the onboarding process for the nRF Connect SDK. In her free time, Heidi enjoys bouldering, amateur radio and cooking.

Martin Lesund has a Master of Science degree in Electrical Engineering from the Norwegian University of Science & Technology. Previously he has been working as an Application Engineer in the Technical Support group for over three years at Nordic, where the focus has been on the nRF91 series, nRF Connect SDK and Cellular IoT. Now his focus is to help customers understand and get the best cellular IoT solution possible for their new applications. In his free time, Martin enjoys hiking, running, and riding bikes.

Adam Benzion CXO at Edge Impulse, co-founder of Hackster.io, Microsoft alumni, recovered hardware entrepreneur, and investor. I am focused on building meaningful solutions to pressing problems such as wildlife and environmental preservation, rooted in open-source principles and community building. When I get a few moments, I also enjoy writing for Fast Company, Power Magazine, TechCrunch, EE Times, and The Next Web.

Criteria considered during the judging process will include but not be limited to:

  • Project innovativity / creativity - We understand it's difficult to come up with a new idea, but a project will be scored higher if it's original or you can take an existing idea and put a fresh creative spin on it.
  • Project documentation - Show us step by step how you built your project from start to finish using hi-res images, screenshots, video and text.
  • Video - A video is worth a thousand words so we will look fondly on any video content that is embedded within the project page.
  • BOM - list all of your components, apps and tools.
  • Code – well structured, commented code (preferable posted in a GitHub repository) will score you more points.
  • Block Diagrams – Clear diagrams showcasing how different parts of your project: Thingy:91, Sensors, Motors, Displays, etc. work together will also score you points.
  • Project completeness - Fully working and finished projects will be scored higher than incomplete projects.
  • Machine learning prize - Include a machine learning element into your project using Edge Impulse to qualify for the machine learning bonus prize.

Timeline

Project ideas submission form opens: January 12th 2022

Project ideas submission deadline: 9th February 2022

Kits Shipped: 16th February 2022

Submissions deadline: May 11th 2022

Winners Announced: May 25th 2022