Sökning: "object recognition"

Visar resultat 16 - 20 av 225 uppsatser innehållade orden object recognition.

1. 16. Mixed reality for assembly processes, programming and guiding

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Borja Peirotén López de Arbina; Elisabeth María Romero Luque; [2023]
   Nyckelord :Mixed reality; unity; Hololens 2; Robot Studio; Vuforia Engine; ABB Collaborative GoFa; Assembly process; TCP IP communication; robot programming; multitasking; QR codes; object recognition;

   Sammanfattning : Assembly processes are an integral part of many industries, including manufacturing and production. These processes typically involve the use of robots and automated equipment to perform tasks such as picking, placing, and joining components. LÄS MER

3. 17. Exploration of performance evaluation metrics with deep-learning-based generic object detection for robot guidance systems

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Helena Gustafsson; [2023]
   Nyckelord :performance evaluation; robot guidance system; deep learning; object detection; instance segmentation;

   Sammanfattning : Robots are often used within the industry for automated tasks that are too dangerous, complex, or strenuous for humans, which leads to time and cost benefits. Robots can have an arm and a gripper to manipulate the world and sensors for eyes to be able to perceive the world. LÄS MER

4. 18. Dynamic Mixed Reality AssemblyGuidance Using Optical Recognition Methods

   Master-uppsats, KTH/Industriell produktion

   Författare :Harpa Hlíf Guðjónsdóttir; Gestur Andrei Ólafsson; [2022]
   Nyckelord :Manufacturing; Mixed Reality; Augmented Reality; Assembly Guidance; Object Recognition; HoloLens 2; Vuforia Engine; Unity; Mixed Reality Toolkit; Tillverkning; Blandad Verklighet; Förstärkt Verklighet; Monteringsvägledning; Objektigenkänning; HoloLens 2; Unity; Vuforia Engine; Mixed Reality Toolkit;

   Sammanfattning : Mixed Reality (MR) is an emerging paradigm in industry. While MR equipment and software have taken great technological strides in past years, standardized methods and workflows for developing MR systems for industry have not been widely adopted for many tasks. This thesis proposes a dynamic MR system for an assembly process. LÄS MER

5. 19. Semi-Supervised Plant Leaf Detection and Stress Recognition

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Márk Antal Csizmadia; [2022]
   Nyckelord :Deep Learning; Object Detection; Semi-Supervised Learning; Semi-Supervised Object Detection; Computer Vision; Djupinlärning; Objektdetektering; Semi-övervakad inlärning; Semi-övervakad objektdetektering; datorseende;

   Sammanfattning : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. LÄS MER

7. 20. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

   Master-uppsats, KTH/Fastigheter och byggande

   Författare :Egil Morast; [2022]
   Nyckelord :Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

   Sammanfattning : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. LÄS MER