SoPC Implementation of a Genetic Algorithm for Circle Detection

This article presents a system-on-programable-chip implementation of a genetic algorithm for circle detection. The use of this implementation technique allows the development of an efficient, decentralized and embedded system with high scalability and robustness, in addition to providing it with an effective and easy-to-use interface. The hardware components of the system implement the evolutionary process and the software elements perform image pre-processing tasks and provide the user interface. The SoPC was implemented on a Zybo-Z7 development board equipped with a Xilinx Zynq-7000 family device and it has been numerically validated on synthetic and real images. Detection rates obtained for both types of images demonstrate the suitability of this proposal to design embedded systems with size, resources and power consumption limitations for applications in Industry 4.0 and other related paradigms.