Hot Target Detection
Research
Machine Learning
Geo
Image Processing
Hot targets such as wildfires and volcanoes have a devastating impact on the planet, our infrastructure, and our personal health. Detecting hot targets early and monitoring their progress is important to successfully manage and control these situations. Recent studies have shown that wildfires can be detected in Landsat 8 imagery by using Top of Atmosphere (TOA) reflectance, but false alarms are frequent. In this project, I investigated hot target detection in satellite imagery using deep neural networks.

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Ground Cover Analysis
Research
Machine Learning
Geo
Image Processing
Ground cover analysis is used in smart agriculture applications to perform effective automatic treatment of crops, for instance by finding an optimal distribution of water or pesticide administration. This is especially helpful for farms located in third world countries, that have little access to high-tech machinery and a lot to gain in terms of crop yield. In this project, various methods of ground cover analysis were tested to help farmers in the Bangladesh delta cultivate their land.

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AVES
Research
Image Processing
AVES is a video search application created to evaluate relevance feedback in multimedia retrieval systems, for an internship at TNO. The engine uses deep learned neural networks to detect concepts, and is based on the TNO-VIREO, and UTWENTE-PRFUBE systems. It incorporates a novel Rocchio-like relevance feedback algorithm to boost retrieval results, outperforming state of the art reranking algorithms.

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StarCraft Bot
Research
Machine Learning
Strategy recognition and counter-strategy generation are of vital importance in realtime strategy games. In this research a StarCraft Brood War bot was designed and tested that uses a neural network to learn optimal counter strategies with features extracted from game replays.

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Guide Robot
Research
UX
This project was aimed at researching the effects of head rotation and audiovisual feedback in guide robot behaviour. A robot was constructed for the purpose of guiding small groups of people around in an unfamiliar area. This research was conducted as part of the EU-funded SPENCER project (600877).

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Monitoring Panic Attacks
Research
Mobile
Health
Panic disorder (PD) can be effectively treated with a variety of interventions, including psychological therapies and medication. In the great majority of cases hyperventilation is involved, exacerbating the effects of the panic attack. Deliberate deep breathing exercises help to rebalance the oxygen and CO2 levels in the blood. The aim of this project was to create a smartwatch app that monitors and aids patients suffering from PD.

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Virtual Advertising
Research
Image Processing
Many sports events are broadcast on television with an overlay providing extra advertising space. In this computer vision project, virtual banners were placed inside existing clips of sports events using techniques such as line detection, camera auto-calibration, and perspective transforms.

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Grawe/Graaf
Research
UX
Grawe is an aggregated search webpage made to showcase various implementations of (non-)blended search result retrieval. Graaf added to that by making the Dutch part of Wikipedia more accessible to children between ages 9-12.

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Tracking People Streams
Research
Image Processing
During large scale events, e.g. pop concerts or busy places like railwaystaions, large numers of people pass eachother very closely. In order to direct these streams of people or in case of emergency to send help in the quickest way and direct these masses of people to exits, it is important to track such streams and recognize behavioural patterns.

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Shard
Mobile
Music
Shard is an Android app that lets you broadcast what you're currently listening to on Spotify to all of your friends live. Listen to your favourite music together.

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Soundtag
Web
Music
Soundtag lets you tag locations with audio messages or music files. Mark your favourite jogging route with mp3 files, leave a romantic message for your lover at work, or remind your roommate to pick up some beer at the supermarket!

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Vie
Web
Music
Vie is a project that lets users create a collaborative playlist using Spotify. A party host can set up a playlist, and users are able to add songs to the playlist (without owning a Spotify account themselves) through a web portal, and vote their favourite tracks to the top of the playlist.

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New project
New
This is a placeholder for an upcoming project. Check back soon to find out more!

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