Invasive bird species can be a serious problem in cities, towns and in agriculture. The common pigeon is a very unwelcome guest on many balconies, roofs, terraces. Conventional scarecrows often show no effect, as these birds are known to be quite intelligent, and capable of learning fast. The idea is to built a sensor/camera enhanced scarecrow that - can recognize birds present within its …
Supervisors: Sebastian Büttrich
Semester: Fall 2022
Tags: IoT, ML, machineLearning, sensors, security

For this project, you would be working with a partner company who are looking to re-establish wood as a building material for sustainable architecture, and thus are using sensors for quality control - to detect damages and deterioration in buildings. Wood such as timber may be analyzed by non-intrusive acoustic impact testing and subsequent waveform analysis, and the expectation is that machine …
Supervisors: Sebastian Büttrich
Semester: Fall 2021
Tags: IoT, sensors, machine learning, acoustics

There is currently a lot of progress in really small, yet powerful visual machine learning / computer vision, on hardware like the OpenMV Cam H7, Arduino Portenta Vision Shield, Luxonis LUX-ESP32, Himax WE-I Plus, Arducam Pico4ML, and Raspberry Pi, and on software platforms such as TinyML or OpenMV IDE. While many popular use cases stem from fields like traffic analysis, wildlife monitoring, we …
Supervisors: Sebastian Büttrich
Semester: Fall 2022
Tags: IoT, sensors, machine learning, computer vision

The goal of the project is to explore new ways of gathering data about wind turbines as well as local wind/weather conditions. To this end, sound/vibration-based and/or image-based instrumentation as well as innovative experiments such as balloons and light weight weather stations might be considered.
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Instrumentation, Sensors

Deliberately scoped very wide, this group contains a number of projects in different possible directions, from Location services via LPWAN time-of-flight and GPS/GNSS, Vessel tracking and management in fisheries, tourism and logistcs Water quality anc chemistry sensing for Aquaculure, specifically Mariculture, Wave and tidal dynamics, e.g. in energy harvesting and variations/combinations of …
Supervisors: Sebastian Büttrich
Semester: Fall 2022
Tags: Satellite, Image processing, Machine Learning, edge, constrained computing, IoT, sensors, location