CPET-563 [2021]

Welcome to Embedded Systems Design II @ RIT

In this class we focus on combining hardware, software, and firmware together to complete a specified task that makes use of FPGA-based embedded vision. The first part of the course focuses on the amazing Xilinx Zynq System on Chip [SoC] and how to use the Vivado tool ecosystem. Once students are familiar with Zynq, we move into using a Zynq System on Module [SOM], namely the Snickerdoodle by Krtkl. We selected this module due of its form factor, price, integrated WiFi, myriad of documentation, and open source code base. For example, for those of you who want to build up your SD card from scratch, check out our blog entry entitled "Create Snickerdoodle SD Card". The last part of the course takes students through preliminary and critical design reviews [CDR and PDR] to give them a flavor of how products are developed in the real world. The end goal of the semester is for student groups to program, verify, and demonstrate a working embedded vision application using the Fusion 2 FPGA-based imager shown below. In addition to learning embedded vision concepts, students will also learn Matlab, Simulink, Modelsim, Vivado, OpenCV, VHDL, C, Python, and many design design tricks of the trade which are highlighted in Dr. Kaputa's "Rules to Design By".