Essays about: "real time application of image processing"

Showing result 1 - 5 of 35 essays containing the words real time application of image processing.

1. 1. Real-time Autofocus Algorithm in Laser Speckle Contrast Imaging

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Giovanni Russo; [2023]
   Keywords : Laser speckle contrast imaging; Autofocus; Blind image sharpness assessment; Speckle noise; Perimed’s Perfusion Speckle Imager;

   Abstract : Microcirculation is defined as the blood flow in the smallest blood vessels. Laser speckle contrast imaging (LSCI) is a full field imaging technique that provides instantaneous 2-D perfusion maps of illuminated tissues based on speckle contrast. READ MORE

3. 2. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Emil Brynielsson; [2023]
   Keywords : Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

   Abstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE

4. 3. Diffusion-based Vocoding for Real-Time Text-To-Speech

   University essay from Lunds universitet/Matematisk statistik

   Author : Lukas Gardberg; [2023]
   Keywords : Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

   Abstract : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. READ MORE

5. 4. 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

6. 5. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

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

   Author : Kristoffer Westring; Linus Svensson; [2023]
   Keywords : FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Abstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE