Actual PWM duty cycle on 7-segment LED display, driven by hardware (PL) and controlled by software (PS).
Control MM10 motor using MiniZed's onboard accelerometer
Extension of 'Mini But Mighty, the MiniZed and Vitis for Motor Control' project by Adam Taylor with HC-SR04 to control the speed.
Based on Adam Taylor's - Mini But Mighty, the MiniZed and Vitis for motor control, Bob the Blue Robot Dude dances to MiniZed control.
FPGA-based real-time fractal generation. Fully pipelined, dynamic resource allocation, up to 18000 MMUL/s. Float matrix math on J1B CPU.
Leveraging HLS functions to create a image processing solution which implements edge detection (Sobel) in programmable logic.
Creating an image processing platform that enables HDMI input to output. This can be used as a base for HLS-based image processing demo.
Not all imaging systems need to be expensive. Solutions can be created using cost optimized FPGA and CMOS image sensors directly.
Xilinx Pynq framework allows us to combine Python and programmable logic. Let's look at how we can create a Pynq Image for custom boards.
I do a lot of work with image processing and need to test cameras / imagers. I am going to create a scalable test platform.
The ability to process, manipulate and otherwise work with audio signals is a key feature of DSP in FPGA. Here's a look at how we do this!
Part one of a project that will demonstrate the building of an FPGA/SoC-based hexapod robot.
Using the Arm DesignStart FPGA Cortex-M3 to control a simple wheeled robot. Also known as getting started with DesignStart FPGA & Cortex-M3.
Building on the Zybo Z7 image processing application. This project demonstrates using HLS with C/C++ to accelerate image processing.
The Cortex-M1 is ideal for implementations in low-cost FPGA Spartan 7 devices. Let's look at an example project.
How to get the PYNQ and Matrix Voice to work with each other.
Interface a CMOS camera with a ZYNQ-7000 series FPGA SoC and output live video feed to a VGA screen.
This project creates an FPGA-controlled hexapod robot which is capable of walking and navigating around its environment using sonar and IMU.
This is a demonstration on how a service such as a group of weather stations can influence the decisions of devices via the IOTA network.
How to control motors using PWM, the MiniZed and a touchscreen controller.
The ability to see across multiple elements of the EM spectrum, e.g. visible IR, provides significant benefits. Let's look how we can do it.
Robotics are at the leading edge of Industry 4.0, AI and the Edge revolution. Let's look at how we can create an FPGA-controlled robot arm.
FPGA based binary clock, which uses GPS for the time reference.
Python-powered edge analytics and machine learning for electric drives.