Sökning: "Single-Shot Detector"
Visar resultat 1 - 5 av 19 uppsatser innehållade orden Single-Shot Detector.
1. A Comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Every country has seen an increase in motorcycle accidents over the years due to social and economic differences as well as regional variations in transportation circumstances. One common mode of transportation for those in the middle class is a motorbike. Every motorbike rider is legally required to wear a helmet when driving a bike. LÄS MER
2. Pruning a Single-Shot Detector for Faster Inference : A Comparison of Two Pruning Approaches
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modern state-of-the-art object detection models are based on convolutional neural networks and can be divided into single-shot detectors and two-stage detectors. Two-stage detectors exhibit impressive detection performance but their complex pipelines make them slow. LÄS MER
3. Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Analysis of peripheral blood smears is commonly used to aid physicians in diagnosing diseases, checking for infections and evaluating the function of organs. One object of interest in such analysis is the presence of red blood cell aggregates called rouleaux. LÄS MER
4. Air Reconnaissance Analysis using Convolutional Neural Network-based Object Detection
Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : The Swedish armed forces use the Single Source Intelligent Cell (SSIC), developed by Saab, for analysis of aerial reconnaissance video and report generation. The analysis can be time-consuming and demanding for a human operator. In the analysis workflow, identifying vehicles is an important part of the work. LÄS MER
5. Raspberry Pi Based Vision System for Foreign Object Debris (FOD) Detection
Kandidat-uppsats, Blekinge Tekniska HögskolaSammanfattning : Background: The main purpose of this research is to design and develop a cost-effective system for detection of Foreign Object Debris (FOD), dedicated to airports. FOD detection has been a significant problem at airports as it can cause damage to aircraft. LÄS MER