Design and Implementation of Real Time Data Acquisition System using Reconfigurable SoC

Abstract

System on chip (SoC) technology is widely used for high speed and efficient embedded systems in various computing applications. To perform this task, Application Specific IC (ASIC) based system on chips are generally used till now by spending maximum amount of research, development time and money. However, this is not a comfortable choice for low and medium-level capacity industries. The reason is, with ASIC or standard IC design implementation, it is very difficult task where quick time to market, upgradability and flexibility are required. Therefore, better solution to this problem is design with reconfigurable SoCs. Therefore, FPGAs can be replaced in the place of ASICs where we can have more flexible and reconfigurable platform than ASIC. In the embedded world, in many applications, accessing and controlling are the two important tasks. There are several ways of accessing the data and the corresponding data acquisition systems are available in the market. For defence, avionics, aerospace and automobile applications, high performance and accurate data acquisition systems are desirable. Therefore, an attempt is made in the proposed work, and it has been discussed that how a reconfigurable SoC based data acquisition system with high performance is designed and implemented. It is a semicustom design implemented with Zynq processing system IP, reconfigurable 7-series FPGA used as programmable logic, hygro, ambient light sensor and OLEDrgb peripheral module IPs. All these sensor and display peripheral modules are interfaced with processing unit via AXI-interconnect. The proposed system is a reconfigurable SoC meant for high-speed data acquisition system with an operating frequency of 100MHz. Such system is perfectly suitable for high speed and economic real time embedded systems.

Design and Implementation of Image Processing Application with Zynq SoC

“…The use of ASIC for various embedded applications is efficient but timeconsuming and expensive. The alternative is the use of SOCs [8]. Implementing image processing applications can reduce the cost and result in greater efficiency in the design.…”