Sökning: "canny"
Visar resultat 1 - 5 av 25 uppsatser innehållade ordet canny.
1. Operation and Area Restriction of Autonomous Wheel Loaders Using Colour Markings
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : This thesis aims to create a system using colour markings for Volvo’s autonomous wheel loaders which determines their restricted area and operation using sensors available on the machine. The wheel loader shall be able to interpret and distinguish different colours of spray paint, and depending on the colour, act accordingly. LÄS MER
2. Improving Pith Detection and Automated Log Identification using AI
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Tracking of tree logs from a harvesting site to its processing site is a legal requirement for timber-based industries. Wood log identification is an important task in the forestry industry and has traditionally relied on manual inspection by trained experts. LÄS MER
3. Generating Synthetic Training Data with Stable Diffusion
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : The usage of image classification in various industries has grown significantly in recentyears. There are however challenges concerning the data used to train such models. Inmany cases the data used in training is often difficult and expensive to obtain. Furthermore,dealing with image data may come with additional problems such as privacy concerns. LÄS MER
4. Padel court detection system
Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatikSammanfattning : The aim of this thesis is to examine the possibility of a court detection program for sports videos that can identify the court even when some important elements are not visible. The study will also analyze what external factors may impact the program's accuracy in detecting all relevant elements. LÄS MER
5. A heuristic approach to screw pose detection
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Object detection using vision systems could generally be accomplished using machine learning or conventional computer vision techniques. This thesis implements and compares three methods to locate screws on a flat plane using conventional computer vision on regular non stereo images without any depth or range information. LÄS MER