Advanced search
Showing result 11 - 15 of 80 essays matching the above criteria.
-
11. Padel court detection system
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : 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. READ MORE
-
12. Federated Learning for edge computing : Real-Time Object Detection
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE
-
13. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE
-
14. Automated Welfare Assessment of Dairy Cattle Using Artificial Intelligence
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The recent boom in Artificial Intelligence (AI) and intelligent decision-support systems has revolutionized efficiency across industries, and there is great value in applying these findings to the dairy industry. With the growth of the dairy industry comes a need for new and innovative tools to support the increased demand. READ MORE
-
15. A heuristic approach to screw pose detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE