Essays about: "results of industrial training"

Showing result 11 - 15 of 68 essays containing the words results of industrial training.

  1. 11. An Industrial Application of Semi-supervised techniques for automatic surface inspection of stainless steel. : Are pseudo-labeling and consistency regularization effective in a real industrial context?

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mattia Zoffoli; [2022]
    Keywords : Deep Learning; Computer Vision; Semi-Supervised Learning; Automatic Inspection; Stainless Steel; Djupt lärande; datorseende; Semi-övervakat lärande; Automatisk inspektion; Rostfritt stål;

    Abstract : Recent developments in the field of Semi-Supervised Learning are working to avoid the bottleneck of data labeling. This can be achieved by leveraging unlabeled data to limit the amount of labeled data needed for training deep learning models. READ MORE

  3. 12. Research and Application of 6D Pose Estimation for Mobile 3D Cameras

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Qian Ruichao; [2022]
    Keywords : 6 Degree-of-Freedom DoF ; pose estimation; deep learning; Light Detection and Ranging LiDAR ; structure light; TrueDepth; 6 frihetsgrader DoF ; poseringsuppskattning; djupinlärning; ljusdetektion och avstånd LiDAR ; strukturljus; TrueDepth;

    Abstract : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. READ MORE

  4. 13. Analytics adoption in manufacturing – benefits, challenges and enablers

    University essay from Mälardalens universitet/Innovation och produktrealisering

    Author : Junia Cupertino Ribeiro; [2022]
    Keywords : Analytics; Production; Performance monitoring; Industry 4.0;

    Abstract : Digitalisation is changing the manufacturing landscape with promises to enhance industrial competitiveness with new technologies and business approaches. Various data-driven applications, enabled by digital technologies, can support process monitoring, production quality control, smart planning, and optimisation by making relevant data available and accessible to different roles in production. READ MORE

  5. 14. Narrow Pretraining of Deep Neural Networks : Exploring Autoencoder Pretraining for Anomaly Detection on Limited Datasets in Non-Natural Image Domains

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Matilda Eriksson; Astrid Johansson; [2022]
    Keywords : CNN; convolutional neural network; autoencoder; variational autoencoder; anomaly detection; SPADE; limited dataset; non-natural image domain; depth domain; scatter domain; intensity domain; machine learning;

    Abstract : Anomaly detection is the process of detecting samples in a dataset that are atypical or abnormal. Anomaly detection can for example be of great use in an industrial setting, where faults in the manufactured products need to be detected at an early stage. READ MORE

  6. 15. Using Augmented Reality for cross-training in manufacturing to facilitate labor flexibility - A case study

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Amanda-Karin Hedberg; Elin Mellberg; [2022]
    Keywords : Augmented Reality; Labor Flexibility; Cross-training; Operator Involvement;

    Abstract : The ability to be flexible will be of great importance to stay competitive as a manufacturing company, and the human operator is a key resource to rapidly respond to changes within manufacturing. Creating a cross-trained workforce where the operators have the ability to rotate between tasks is a strategy to increase the labor flexibility, which in turn can increase the manufacturing flexibility. READ MORE