Tagged with: IoT


PROPOSAL

LoRa is a long range, low bandwith networking protocol widely used in Internet of Things projects, sensor networks, low power, low cost and embeded systems. LoRa’s encoding schema allows for extremely long distance communications with small power usage and small simple antennas. This combination of features has made it attractive to small satellite operators flying cubesats and LoRa is now …
Supervisors: Sebastian Büttrich
Semester: Fall 2023
Tags: satellite, LoRa, cubesat, IoT, embeded, electronics

PROPOSAL

Outlier detection is carried out when the information is stored at the server. However, with the new IoT computational capabilities, outlier detection can be developed locally. Therefore, it is necessary to know how much RAM/Flash is needed for this step and which IoT brands can handle it. This project is divided into two parts. The first is implementing light-heavy ML algorithms in single points …
Supervisor: Paul Rosero
Semester: Spring 2022
Tags: data analysis, IoT, Python, Embedded systems

PROPOSAL

TinyML is a new trend to deploy deep learning in tiny devices. Therefore, it is necessary to deploy several applications to understand the challenges and opportunities which tinyML brings us. In this scenario, any idea with embedded computer vision, voice recognition, and sensors are welcome.
Supervisor: Paul Rosero
Semester: Spring 2022
Tags: data analysis, IoT, Python, Embedded systems, Computer vision, Voice recognition

PROPOSAL

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

PROPOSAL

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

PROPOSAL

In LoRaWAN networks such as The Things Network, long distance transmissions, well beyond the limitations of line of sight in terrestrial geometry, are frequently observed. Tropospheric effects are seen as responsible for bending or guiding radio waves around the earth curvature. As an example, under the right weather conditions, the LoRaWAN gateway at ITU may collect packets from northern Germany, …
Supervisors: Sebastian Büttrich
Semester: Fall 2022
Tags: IoT, LoRaWAN, LPWAN, satellite, networks, troposphere, weather

PROPOSAL

Recent progress in LoRaWAN development has made a new generation of satellite communications offerings available to IoT devices. In these, the LoRaWAN gateway is satellite born, and collecting data from small inexpensive ground stations. So far, this is predominantly seen as a means of communciation for remote sensor data, e.g. in agriculture, logistics or wildlife monitoring. However, one can …
Supervisors: Sebastian Büttrich
Semester: Fall 2021
Tags: IoT, LoRaWAN, LPWAN, satellite, networks, edge, security

PROPOSAL

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

PROPOSAL

How much does our smart meter readings disclose about us? Can we disentangle the oven from the washing machine from the kettle? Can we identify demographics and behavior patterns from the stream of electricity data? Most danish homes are now equipped so-called “smart meters” - networked electricity meters that report consumption and load at much higher rate than conventional meters. …
Supervisors: Niels Ørbæk Chemnitz
Semester: Spring 2021
Tags: NILM, ML, IoT, Energy Data, Smart Meters, Python, Data Science, Time Series Data

PROJECT

How does commonly used time series systems handle an HTAP/IoT use-case?
Students: Marcus Winding Quistgaard
Supervisor: Pınar Tözün
Level: MSc, Semester: Spring 2020
Tags: HTAP, IoT, benchmarking