Image
Mönster
Breadcrumb

Constructing Low Cost Ocean Sensors

Science and Information Technology

The availability of low cost electronics and user friendly software development languages and tools have in the past decade increased the possibilities of building Internet-of-things (IoT) devices at home. Today it is both relatively cheap and easy to build a device that integrates various types of sensors and then sends it to a cloud-based web environment where data can be shared. This talk will demonstrate how a hobbyist style sensor package for marine measurements can be designed and constructed. It will be a live demonstration starting from cheap boxed equipment that ends up in bottled ocean observatory connected to the cloud.

Webinar
Date
17 Mar 2023
Time
14:00 - 15:00
Location
Zoom webinar

Participants
Ola Benderius, Associate Professor at Mechanics and Maritime Sciences, Division of Vehicle Engineering and Autonomous Systems, Chalmers University of Technology
Good to know
In English
Organizer
Ocean Data Factory Sweden

https://gu-se.zoom.us/j/5929167010

About the speaker

Image
Ola Benderius
Ola Benderius is Associate Professor at Mechanics and Maritime Sciences at Chalmers University of Technology.

Ola Benderius has an extensive track record in building physical research vehicles and conducting experiments involving such vehicles. He has been involved in the Chalmers Revere vehicle lab since its start in 2015, where he designed logging systems for cars, trucks, boats, and drones. He has also a large interest in teaching and outreach activities not at least connected to the teaching platform Kiwi, an autonomous vehicle used in teaching targeting young children to senior citizens.

About Ocean Data Factory Sweden

The mission of ODF Sweden is to enable data-driven innovation by both commercial and non-commercial actors to ensure that the ocean and its resources are managed in the best possible and most sustainable way. ODF runs several in-house innovation projects, for example, the Koster Challenge, that combines citizen science with AI to explore Sweden’s marine biodiversity.