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Smart grasping of known objects
(2020)
Smart grasping means that a robot can automatically decide which object and how an object can be grasped. Firstly, a neural network should find the objects and get a 2D bounding box. The convolution neural network is used ...
Deep learning for point cloud segmentation with applications to sawmill industry
(2022)
Nowadays, the integration of digital technologies in enterprises is happening everywhere. The sawmill industry is no exception. The various stages of production at sawmills are being improved through the use of information ...
Estimating glue-layer defects on plywood through computer vision methods
(2023)
Making quality film-faced plywood is a vital issue for the manufacturer as it decides the quality of the end product made from this film-faced plywood. Detecting defects on the applied glue which is used to stick the films ...
Face anti-spoofing by using diffusion model
(2024)
This thesis explores the potential of diffusion models for improving face anti-spoofing (FAS) techniques. Due to the increasing usage of facial recognition systems in various domains, such as smartphone unlocking, airport ...