Sökning: "You only look once YOLO"

Visar resultat 6 - 10 av 27 uppsatser innehållade orden You only look once YOLO.

1. 6. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

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

   Sammanfattning : 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. LÄS MER

3. 7. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

   Kandidat-uppsats,

   Författare :Rahmat Rohoullah; Månsson Joakim; [2023]
   Nyckelord :BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

   Sammanfattning : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. LÄS MER

4. 8. A Study on Fault Tolerance of Object Detector Implemented on FPGA

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

   Författare :Tiancheng Yang; [2023]
   Nyckelord :Object detection; YOLO-v3-tiny; Fault tolerance; FPGA; VHDL; Hardware accelerator; Triple-modular redundancy; Time redundancy; Stuck-at-faults;

   Sammanfattning : Objektdetektering har fått stort forskningsintresse de senaste åren, eftersom det är maskiners ögon och är en grundläggande uppgift inom datorseende som syftar till att identifiera och lokalisera föremål av intresse. Hårdvaruacceleratorer syftar vanligtvis till att öka genomströmningen för realtidskrav samtidigt som energiförbrukningen sänks. LÄS MER

5. 9. Automatic Interpretation of Ion Beam Measurements of Walls in Fusion Machines

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

   Författare :Daniel Lundberg; Ludvig Johansson; [2023]
   Nyckelord :;

   Sammanfattning : The purpose of this study is to investigate whether it is possible to automatically interpret theresults of Time-of-flight Elastic Recoil Detection Analysis (ToF-ERDA). And if so, find out if the automaticinterpretation is quicker and/or more accurate than the current approach that consists of manualanalysis. LÄS MER

7. 10. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Anna Phan; Rogelio Medina; [2022]
   Nyckelord :Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

   Sammanfattning : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. LÄS MER