Sökning: "object detection"
Visar resultat 11 - 15 av 621 uppsatser innehållade orden object detection.
11. Categorization of Historical Photographs using Convolutional Neural Networks
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The goal of this project is to explore the possibilities of using Convolutional Neural Networks (CNN) on historical photographs taken in Sweden to determine a feasible way of automatically detecting the studio that the photograph was taken in. Photographs supplied by The City Faces Project were used for this purpose. LÄS MER
12. Solar Panel Protectionfrom Birds and Land Animals
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapSammanfattning : Context: Nowadays, there are many sources to generate electricity, but most of the resources used are not renewable. Among the renewable energies generated, solar power is one of the best. However, solar panels need to be protected from birds and other animals, which can cause damage. LÄS MER
13. Initial Orbit Determination of Resident Space Objects From A Passive Optical Imaging System: : Application to Space Situational Awareness
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : The probability of satellite collisions and disintegrations cluttering the near-Earth orbital environmentis ever-growing. This is especially true for the congested Low Earth Orbit (LEO) regime; once a critical density of objects is reached, a collisional cascading is projected to generate runaway growth of theorbital population. LÄS MER
14. Dasty : Revealing Real-World Prototype Pollution Consequences with Dynamic Taint Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Prototype pollution is a vulnerability in JavaScript and other prototype-based languages that allows malicious actors to inject a property into an object’s prototype. The injected property can subsequently trigger gadgets - source code sections that use the properties in sensitive locations. LÄS MER
15. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER