Essays about: "FPGA embedded"
Showing result 16 - 20 of 61 essays containing the words FPGA embedded.
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16. Application of LabVIEW and myRIO to voice controlled home automation
University essay from Uppsala universitet/Signaler och SystemAbstract : The aim of this project is to use NI myRIO and LabVIEW for voice controlled home automation. The NI myRIO is an embedded device which has a Xilinx FPGA and a dual-core ARM Cortex-A9processor as well as analog input/output and digital input/output, and is programmed with theLabVIEW, a graphical programming language. READ MORE
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17. Creation of a Technology Independent Design Flow
University essay from Mälardalens högskola/Inbyggda systemAbstract : Modern embedded systems development poses new challenges to a designer due to the global reachability of the contemporary market. One product shipped to different countries or customers should satisfy varying conditions, standards and constraints. Variability of a developed system should be taken into account by a designer. READ MORE
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18. Improving embedded deep learning object detection by integrating infrared camera
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning is the current state-of-the-art for computer vision applications. FPGAs have a potential to fit this niche due to lower development costs and faster development cycles than ASICs, with a smaller size and power footprint than GPUs. READ MORE
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19. Accelerating CNN on FPGA : An Implementation of MobileNet on FPGA
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional Neural Network is a deep learning algorithm that brings revolutionary impact on computer vision area. One of its applications is image classification. However, problem exists in this algorithm that it involves huge number of operations and parameters, which limits its possibility in time and resource restricted embedded applications. READ MORE
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20. Efficiency of CNN on Heterogeneous Processing Devices
University essay from Linköpings universitet/Programvara och systemAbstract : In the development of advanced driver assistance systems, computer vision problemsneed to be optimized to run efficiently on embedded platforms. Convolutional neural network(CNN) accelerators have proven to be very efficient for embedded camera platforms,such as the ones used for automotive vision systems. READ MORE