Sökning: "Muhammad Bilal Akhtar"

Hittade 1 uppsats innehållade orden Muhammad Bilal Akhtar.

  1. 1. Optical Inspection for Soldering Fault Detection in a PCB Assembly using Convolutional Neural Networks

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

    Författare :Muhammad Bilal Akhtar; [2019]
    Nyckelord :Automatic Optical Inspection; Deep Learning; Convolutional Neural Networks; Object Detection; Soldering Bridge Fault; YOLO; Optimization; Automatisk optisk inspektion; Djup lärning; Konvolutional Neural Network; Objektdetektion; Lödbronfel; YOLO; Optimering;

    Sammanfattning : Convolutional Neural Network (CNN) has been established as a powerful toolto automate various computer vision tasks without requiring any aprioriknowledge. Printed Circuit Board (PCB) manufacturers want to improve theirproduct quality by employing vision based automatic optical inspection (AOI)systems at PCB assembly manufacturing. LÄS MER