Sökning: "Network camera"

Visar resultat 16 - 20 av 241 uppsatser innehållade orden Network camera.

1. 16. Using Approximate Computing Circuits to Optimize Power of an ASIC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Padmashree Nuggehalli Srinivasa; Shi-Tien Hsing; [2023]
   Nyckelord :ASIC; Power; Optimization; Approximate Arithmetic Circuits; Approximate Computing; Technology; Technology and Engineering;

   Sammanfattning : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. LÄS MER

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

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

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

   Sammanfattning : 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. LÄS MER

4. 18. Club Head Tracking : Visualizing the Golf Swing with Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Fredrik Herbai; [2023]
   Nyckelord :Golf; Machine learning; Neural network; XGBoost; Interpolation; Deep learning; Data collection; Data augmentation;

   Sammanfattning : During the broadcast of a golf tournament, a way to show the audience what a player's swing looks like would be to draw a trace following the movement of the club head. A computer vision model can be trained to identify the position of the club head in an image, but due to the high speed at which professional players swing their clubs coupled with the low frame rate of a typical broadcast camera, the club head is not discernible whatsoever in most frames. LÄS MER

5. 19. Structure from Motion with a Neural Network

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Jiarong Gong; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER

7. 20. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania

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

   Författare :Mikael Westlund; [2023]
   Nyckelord :Autonomous driving; Deep Learning; Domain Adaptation; Image classification; LiDAR; Transfer Learning; Självkörande fordon; Djupinlärning; Domain Adaptation; Bildklassificering; LiDAR; Överföringsinlärning;

   Sammanfattning : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. LÄS MER