I recently got OpenCV up and running on my Zynq-7000 based Zedboard. The performance of the OpenCV samples I ran was very good even without using the FPGA fabric. I didn't get my OpenCv from Xilinx, but rather downloaded and built it from the generic ARM Linux source.
I really wanted to see how compatible the Zynq is to the rest of the ARM CPU/SOC world. The Linux distribution I'm using (Xillinux) is made for the Zynq, but pretty much everything else I used was generic. I built CMAKE, Mjpg-Streamer and OpenCV from non-targeted source files. The Mjpg-Streamer source I used was made for the Raspberry Pi. The others were generic ARM Ubuntu sources. I also downloaded and used a large number of generic source libraries - all of that without touching a single line of code.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.