Sökning: "objektigenkänning"
Visar resultat 11 - 15 av 40 uppsatser innehållade ordet objektigenkänning.
11. VISUAL DETECTION OF PERSONAL PROTECTIVE EQUIPMENT & SAFETY GEAR ON INDUSTRY WORKERS
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions and worker safety. The goal is thus to develop a system that will improve construction workers' safety. LÄS MER
12. A Performance Comparison of the Single Object Tracking Algorithms ROLO and Tiny-ROLO
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : Object tracking in videos is an extension of ordinary object detection, to continuously predict and follow the objects’ path of motion. The Recurrent YOLO (ROLO) algorithm is a two-stage tracking algorithm that utilizes deep neural networks to track objects in image sequences. LÄS MER
13. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. LÄS MER
14. Road Damage Segmentation for Mobile Hardware
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. LÄS MER
15. Monocular depth estimation for level assessment in an industrial waste management environment : A thesis within smart waste management
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : With the transition to Industry 4.0, actors in many industries face challenges such as how to successfully implement technical solutions and retain competitiv eadvantages. In the smart waste management sector, many solutions have been presented in how to create effecient sensors but a practical way of comparing these solutions is non-existent. LÄS MER