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Guided Sensor Project

The Guided Sensor Project runs during the first term and helps the students to get familiar with the basic concepts of sensing. We are using open source technology such as Arduino microcontroller boards and Raspberry Pi mini computers to teach how to read out a sensor and store its data for future analysis. All students receive their own Arduino and Raspberry Pi which they can keep and build their own sensor systems. Students can choose to work on their own or form small teams, e.g. comprising engineers, physicists and biologists, to tackle the challenges in electronics, programming and making sens of the data.

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The first cohort built a body temperature sensor and pulse meter. Both sensors were incorporated into finger clips or wrist bands, which were designed and 3D printed by the students. As the project developed some students incorporated additional sensors, e.g. accelerometers, added wifi and wrote an app for an Android phone to present the data in a user friendly manner.

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As part of the project the students had to present and demonstrate their sensor to the Sensor CDT teaching team and write a report. The project was rounded off with a dinner and the announcement of this year's Guided Sensor Project Champion: Josephine Hughes, recognising her efforts in designing her own sensors as well as helping others with programming and electronics.

Upcoming events

Cambridge Bioinformatics Hackathon

Sep 25, 2017

Craik-Marshall Building, Downing Site, Cambridge CB2 3AR

Upcoming events

RSS Feed News

Sensor CDT away day

Jun 27, 2017

Students from all three Sensor CDT cohorts traveled to Marston Vale to meet up with the MAS CDT for a joint away day aiming to solve research problems together.

Biomaker Challenge

Jun 07, 2017

A four-month challenge to build low-cost sensors and instruments for biology

Sensor Team Challenge 2017 has started

May 14, 2017

By combining their scientific and managerial skills, the third cohort of Sensor CDT students will develop low-cost and open-source cell-free molecular diagnostics for biological and chemical sensor applications.

Winner of CDT Twitter photo competition

May 08, 2017

Second prize in the #CDTinnovation category goes to Oliver Vanderpoorten

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