Sökning: "network cameras"
Visar resultat 21 - 25 av 148 uppsatser innehållade orden network cameras.
21. Labelling Customer Actions in an Autonomous Store Using Human Action Recognition
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Automation is fundamentally changing many industries and retail is no exception. Moonshopis a South African venture trying to solve the problem of autonomous grocery storesusing cameras and computer vision. This project is the continuation of a hackathon heldto explore different methods for Human Action Recognition in Moonshop’s stores. LÄS MER
22. Research and Application of 6D Pose Estimation for Mobile 3D Cameras
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. LÄS MER
23. Automatic Man Overboard Detection with an RGB Camera : Using convolutional neural networks
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : Man overboard is one of the most common and dangerous accidents that can occur whentraveling on a boat. Available research on man overboard systems with cameras have focusedon man overboard taking place from larger ships, which involves a fall from a height. LÄS MER
24. Multi-Camera Multi-Person Tracking Using Reinforcement Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. LÄS MER
25. Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Optimising plant growth in a controlled climate requires good measurements of both biomass (measured in grams) and relative growth rate (measured in grams of growth per day and gram of plant). In order to do this efficiently and continuously on an individual level during plant development, this has to be done non-destructively and without frequent and labor intensive weighing of plant biomass. LÄS MER