Essays about: "Yolov3"

Showing result 1 - 5 of 35 essays containing the word Yolov3.

1. 1. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA

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

   Author : Muhammad Ihsan Al Hafiz; [2023]
   Keywords : Bolt detection; Visual-Inertial localization; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; Tightening tool; Bultdetektering; visuell-tröghetslokalisering; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine Learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; åtdragningsverktyg;

   Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE

3. 2. A Comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Anusha Jayasree Mavilla Vari Palli; Vishnu Sai Medimi; [2022]
   Keywords : Accuracy; Haar Cascade Classifier; Helmet Detection; License Plate Detection; YOLOv3 algorithm.;

   Abstract : Background: Every country has seen an increase in motorcycle accidents over the years due to social and economic differences as well as regional variations in transportation circumstances. One common mode of transportation for those in the middle class is a motorbike.  Every motorbike rider is legally required to wear a helmet when driving a bike. READ MORE

4. 3. DRIVING-SCENE IMAGE CLASSIFICATION USING DEEP LEARNING NETWORKS: YOLOV4 ALGORITHM

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Muhammad Tamjid Rahman; [2022]
   Keywords : Machine learning; Convolutional neural network; Object detection; YOLO;

   Abstract : The objective of the thesis is to explore an approach of classifying and localizing different objects from driving-scene images using YOLOv4 algorithm trained on custom dataset.  YOLOv4, a one-stage object detection algorithm, aims to have better accuracy and speed. READ MORE

5. 4. Detecting Furniture in Images Based on Neural Network Models

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Jiayan Yang; [2022]
   Keywords : ;

   Abstract : Object detection is a challenging task that locates objects within an image or video and thenallows us to count and then track those objects. It is applied in a variety of ways, such as crowd counting, self-driving vehicles, video surveillance, face identification, and anomaly detection, and is utilized in a wide range of industries, including retail, sport, healthcare, marketing, interior design, agriculture, construction, and recreation. READ MORE

6. 5. Computer Vision for Camera Trap Footage : Comparing classification with object detection

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Fredrik Örn; [2021]
   Keywords : computer vision; camera traps; classification; object detection; neural networks; artificial intelligence; machine learning; datorseende; kamerafällor; klassificering; detektering; neurala nätverk; artificiell intelligens; maskininlärning;

   Abstract : Monitoring wildlife is of great interest to ecologists and is arguably even more important in the Arctic, the region in focus for the research network INTERACT, where the effects of climate change are greater than on the rest of the planet. This master thesis studies how artificial intelligence (AI) and computer vision can be used together with camera traps to achieve an effective way to monitor populations. READ MORE