Essays about: "object classification"

Showing result 11 - 15 of 200 essays containing the words object classification.

  1. 11. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

  3. 12. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

    Author : Fehmi Ayberk Uçkun; [2023]
    Keywords : 3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

    Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE

  4. 13. Automated Foreign Object Detection on Conveyor Belts

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Kim Sundelius; [2023]
    Keywords : Machine Learning; Deep Learning; Object Detection; Anomaly Detection;

    Abstract : Ore is transported using belt conveyor systems. The transported ore has various anomalous objects that must be removed to prevent damage to the system. Currently anomalies are detected manually using humans. This leads to increased costs of wages and damage to the system overmissed anomalies. READ MORE

  5. 14. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gnana Spandana Akumalla; [2023]
    Keywords : Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

    Abstract : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. READ MORE

  6. 15. Computer Vision-Based Dangerous Riding Behaviors Detection

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Reinis Sestakovskis; [2023]
    Keywords : ;

    Abstract : This study addresses the need for detecting dangerous riding behaviors in the context of e-scooters. The research focuses on developing object detection and image classification models to identify dangerous rides, particularly instances where multiple people ride on a single e-scooter simultaneously. READ MORE