Background:
Previous work on visual sensing for marine and river locations has highlighted the lack of integrated platforms for wireless lowpower internet-enabled visual sensing. However, the work has demonstrated the usefulness of coupling visual sensing with in-situ water quality sensing. Independently, there is work in progress on a new water quality sensing platform that measures turbidity, colour change, etc and the plan is to ultimately integrate a camera into this platform. The objective of this internship is to pull both strands of work together by developing a common platform.
Aim:
We believe that visual sensing and in-situ sensing can be loosely integrated, with data captured separately for each modality and aggregated and processed remotely, but this model requires bi-directional
internet connectivity for both visual and in-situ sensing. We believe that we can prototype this platform using COTS components, and this is the end goal of this hands on hardware-centric internship project. Whilst we had some success in linking visual with in-situ sensing via the River Lee deployment in Tyndall Cork as part of another project (Beaufort), this approach is not scalable. There is a need for a dedicated platform that can ultimately be produced in small volumes for real deployments. This would allow us, for example, to deploy at multiple points along a river to obtain early warning of a pollution or flooding event, as well as monitoring it as it progresses along the waterway.
Outcome:
A camera-enabled water quality-sensing platform designed to enable low-volume production in the future for real deployments.
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