Computer Vision in the Operation Room: Testing the feasibility of a computer vision algorithm for instrument detection in the operation room

<b>Problem:</b> One of the biggest challenges in hospitals today is improving efficiency, (patient) safety and quality of care while cutting on costs. A current reoccurring challenge in the operation department is the coordination of the components involved in making a surgery successful. One of those components is the set of surgical...

Exploration of Deep Learning-based Computer Vision for the detection of floating plastic debris in waterways

Plastic pollution is one of the most challenging global environmental problems. Currently, more than 1000 rivers transport approximately 80% of the plastic influx into the oceans. Naturally, more and more companies are interested in tackling this problem. One of them is Noria Sustainable Innovators, a company based in Delft (Netherlands). It is...

Using frequency information to improve accuracy of object detectors

This research paper analyses the effect that using frequency information can have on object detectors. The latter are complex networks that learn information about objects from images and are then able to predict the location of these objects in new, unseen images. There are, however, certain datasets that are hard to learn on, partly because...

Multiple Objects Detection and Tracking Using Stereo Cameras

The idea of autonomous driving was merely just a dream about 5 years<br/>ago but now, with the advancements in technology, it has become prevalent.<br/>The aim of this thesis is to provide a low-cost approach for detecting and<br/>tracking moving objects from a moving platform. This could be used for<br/>an autonomous vehicle to automatically...

Towards automatic construction of photorealistic BIM window elements from single-picture input

Recent progress in computer vision and the pervasive use of Building Information Models (BIM) in the construction industry provide countless opportunities for decision making in architectural design. It allows capturing real-world geometrical data for assessing design options, such as windows products for replacement on the façade of an existing...

Computer Vision for Gear Alignment Check and Condition Monitoring of Wind Turbine Gearboxes

Wind energy plays a major role in the ongoing energy transition. To accelerate the adoption of wind energy and thereby the energy transition, the Levelized Cost of Energy (LCOE) has to be minimized. Apart from increasing turbine performance, reducing turbine down-time can contribute to lowering the LCOE.Down-time is defined as time during which...