Low-Power Environmental Sensing
From iis-projects
Motivation
Smart sensors, which are sensors equipped with advanced computation capabilities, present a unique opportunity for innovation in multiple critical domains such as environmental sensing to reduce global greenhouse gas emissions or infrastructure monitoring. Our infrastructure is responsible for almost 80% of all global greenhouse gas emissions. Therefore, it is very important to better understand the individual contributors and to be able to build precise models to plan future infrastructure.
A near-sensor processing of the gathered data that directly extracts meaning from the signal can lead to huge improvements in terms of energy efficiency and increased privacy. The reduced energy consumption comes from the fact that more specialized hardware such as the PULP platform including the GAP9 can be used, and, additionally, that the information density of the transmitted data is higher, and thus less data must be transmitted via the often very power-intensive wireless link.
Our long-term goal is to develop a low-power sensing node with very low power consumption. These nodes should incorporate multiple sensors to enable multi-modal sensing. In other words, combine the data of the different sensors to extract additional data. The idea is to use the very efficient GAP9 multi-core processor and deploy multi-modal neural networks to perform feature extraction, prediction, anomaly detection, and even on-device learning to adaptively finetune the model based on the measured data.
Contact Information
Philip Wiese
- e-Mail: wiesep@iis.ee.ethz.ch
- Address: Andreasstrasse 5, 8092 Zürich
- Office: OAT U25
Victor Kartsch Morinigo
- e-Mail: victor.kartsch@iis.ee.ethz.ch
- Address: Gloriastrasse 35, 8092 Zürich
- Office: ETZ J68.2
Dr. Andrea Cossettini
- e-Mail: cosandre@iis.ee.ethz.ch
- Address: Andreasstrasse 5, 8092 Zürich
- Office: OAT U27
Projects Overview
Available Projects
- Structural Health Monitoring (SHM) System (1-2S/M)
- Spectrometry for Environmental Monitoring (1-2S/M)
- Waterflow Monitoring with Doppler Ultrasound (1S)
- Sound-Based Vehicle Classification and Counting (1-2S)
- Multi-Modal Environmental Sensing With GAP9 (1-2S)
