Computer vision

Detection, segmentation, tracking and similarity from images and video, across medical imaging, industrial safety, aerial and drone imagery, document understanding and the built environment.

20 supervised theses. See all supervised theses for the full list, or open topics if you are looking for one to take on.

Level	Author	Title	Date	Industry	Recording
MSc	A. Rodimov	Security system based on object tracking by video stream	Aug. 2024		video
MSc	A. Shuianova	Kinship verification between two people by photos	Aug. 2024
MSc	K. Nguyen	Image Similarity Assessment for Product Quality Assurance	Aug. 2024
MSc	S. Chowdhury	Computer vision-assisted safety alert system for industrial settings in private 5G networks	Jan. 2024	TietoEVRY Oyj
MSc	H. Vu	Deep learning based mammography image segmentation	Mar. 2023	Planmed
MSc	H. Wang	Material capture and generative rendering with phenomenological reflectance models	Aug. 2023	Huawei
MSc	T. Sormunen	Pallet detection in warehouse environment	Jan. 2023	Wärtsilä
MSc	Z. Liu	Deep learning based method for fire detection	Oct. 2023	Detectium
MSc	B. Fazekas	Distractive driver behaviour detection with spiked neural networks	Nov. 2022
MSc	E. Hattula	Transfer learning technology for building extraction from orthophotos and open-source data	Jan. 2022	National Land Survey of Finland
BSc	M. Lamoureux	Binary classification of histopathological images by pre-trained modified VGG16 model	Apr. 2022
MSc	P. Pyrrö	AIR: Aerial inspection RetinaNet for land search and rescue missions	Jan. 2022	Accenture
MSc	P. Truong	Crown-of-Thorns Starfish Detection by state-of-the-art YOLOv5	July 2022
MSc	V. Petrutiu	Exploring transformers and degradation methods in the super resolution field	Dec. 2022	Huawei
MSc	A. Orre	Pedestrian movement analysis from drone perspective	Dec. 2021
MSc	K. Ariko	Increasing the safety in the proximity of the mobile working machines: A study of detecting people	Oct. 2021	Epec Oy
MSc	M. Uutaniemi	Extraction of labeled fields from images of structured documents	Aug. 2021
MSc	D. Tokmurzina	Road marking condition monitoring and classification using deep learning for city of Helsinki	Oct. 2020
MSc	T. Valentijn	The practical applicability of a CNN for automated building damage assessment	June 2020	Red Cross NL
MSc	H. Välimäki	Generating synthetic 3D food objects for the development of automatic dietary assessment	in progress