Design of Embedded Vision System based on FPGA-SoC

Abstract

The advanced microelectronics in the last decades provide each year new tools and devices making it possible to design more and more efficient artificial vision systems capable of meeting the constraints imposed. All the elements are thus brought together to make artificial vision one of the most promising, even unifying scientific "challenges" of our time. This is because the development of a vision system requires knowledge from several disciplines, from signal processing to computer architecture, through theories of probability, linear algebra, computer science, artificial intelligence and analog and digital electronics. The work proposed in this paper is located at the intersection of embedded systems and image processing domains. The objective is to propose an embedded vision system for video acquisition and processing by adding hardware accelerators in order to extract some image characteristics. With the introduction of reconfigurable platforms, such as new All Programmable System on Chip (APSoC) platforms and the advent of new high-level Electronic Design Automation (EDA) tools to configure them, FPGA-SoC based image processing has emerged as a practical solution for most computer vision problems. In this paper, we are interested in the design and implementation of an embedded vision system. This design facilitates video streaming from the camera to the monitor and hardware processing over real-time FPGA-SoC.

Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform

“…The choice of a tool depends on many factors such as the level of flexibility, the availability of pre-built libraries/blocks, and the overall understanding of these blocks. Some UML-based tools are the Arti-Real time Studio, the Ilogix's Rhapsody, MATLAB and Simulink Realtime workshop [9]. These tools are used for the design of an embedded multiprocessor environment.…”

“…The FPGA with its great integration capabilities and reconfiguration is a key component in rapidly developing prototypes. In the objective of encouraging the wide distribution of this type of circuits, it is necessary to improve the development environments to make them more accessible to non-electronics experts [8,9].…”