Localising objects with drones: A case study on the localisation of fisher boats in restricted areas

Due to safety or preservation reasons, certain objects or areas need to be inspected regularly. Currently, the inspection of objects is mostly done in-person, which is labour-intensive and not very effective. With the use of drones, areas and objects can be inspected from new angles at a much faster rate. To effectively monitor these objects...

In-band Time Synchronization in Real-Time systems

Real-time (RT) systems are widespread over different industries, e.g., healthcare, robotics, manufacturing, machine vision, etc. These systems consist of a hardware and software part that execute an RT application. These systems require a bounded and predictable time response on incoming events and execute all input and output (IO) tasks...

Graph Based LiDAR-Inertial Lo- calization with a Low Power Solid State LiDAR

Mapping an environment with a Light Detection and Ranging (LiDAR) sensor through the use of a LiDAR Simultaneous Localization And Mapping (SLAM) algorithm is a powerful technology that allows for the creation of detailed 3D models. Recently various LiDAR sensors have been developed based on Micro-Electro-Mechanical System (MEMS) technology....

Efficient real-time camera based estimation of heart rate and its variability

Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine...

Automated Pricing Suggestions

As Machine Learning is becoming more accessible to small businesses, thanks to the rapid advance in computing power, smaller start-ups such as Sjauf (a ride sharing start-up) are starting to get interested in implementing Machine Learning solutions in their product. Sjauf needed a system that could automatically tell its customers how much a...

Automatically and real-time identifying malfunctioning pv systems using massive on-line PV yield data

Due to the transition in the energy market from fossil fuel to renewable energy sources it is expected that the total installed amount of photovoltaic (PV) energy will continue to increase. To make sure that all these PV systems work optimally it is essential to have a good way of monitoring these devices. In this project an open generic model...

Streaming Fraud Detection on Session Based Data

Financial fraud is, within the banking world, a major source of expenses. Improving on timely detecting fraud is a constantly ongoing cat and mouse game between the financial institutions and criminal organisations. To be on the edge of fraud detection, new approaches have to constantly be developed. This research will tap into the large amount...

OS evaluation for real time image processing on a multicore architecture

Traditionally embedded applications were limited to dedicated hardware with limited functionalities controlled by a microcontroller. With the advancement of technology and the rising needs embedded applications now run on Consumer off the shelf (COTS) products. Using general-purpose operating systems makes the development cycle for these...