Essays about: "camera learning thesis"

Showing result 11 - 15 of 144 essays containing the words camera learning thesis.

1. 11. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

   Author : Ziyou Li; [2023]
   Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

   Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

3. 12. Anomaly detection in surveillance camera data

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Viktoriia Semerenska; [2023]
   Keywords : Anomaly detection; Machine Learning; Supervised learning; Video Analytics; Artificial Intelligence;

   Abstract : The importance of detecting anomalies in surveillance camera data cannot be overemphasized. With the increasing availability of surveillance cameras in public and private locations, the need for reliable and effective methods to detect anomalous behavior has become critical to public safety. READ MORE

4. 13. Using Approximate Computing Circuits to Optimize Power of an ASIC

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

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

   Abstract : 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. READ MORE

5. 14. 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

6. 15. Club Head Tracking : Visualizing the Golf Swing with Machine Learning

   University essay from Uppsala universitet/Signaler och system

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

   Abstract : 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. READ MORE