The Cortex-M1 is ideal for implementations in low-cost FPGA Spartan 7 devices. Let's look at an example project.
A smart glove that translates sign language letters into written letters with monitor.
Easy to use Platform to learn VHDL. Running on a ZYBO over the web.
GigE Vision camera bridge prototype using the Zybo Z7-10 board with a Digilent Pcam 5C camera connected to it.
The aim of this project is to process LiDAR and camera data on Zybo Z7-20 to detect objects with usage of data fusion.
AES CryptoCores is a dedicated hardware module which helps for encryption and decryption of data using the desired key.
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!
Optical inspection using OV7670 and Nexys Video.
TCP controlled camera keeps tracked object in center of video.
This project aims to create transmission line between two links using FPGA cards and solve the synchronization problems with ADPLL.
An assistant for visually impaired people. The user will be notified when he is getting too close to a dangerous object.
A RISC-V core with a Custom Hardware Module (CHM) for hardware acceleration.
Infrared image processing extending the Pcam 5C demo.
Using the Arm DesignStart FPGA Cortex-M3 to control a simple wheeled robot. Also known as getting started with DesignStart FPGA & Cortex-M3.
Interface a CMOS camera with a ZYNQ-7000 series FPGA SoC and output live video feed to a VGA screen.
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.
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.
This project combines eLua with an open source RISC-V CPU core to a powerful, self-hosted embedded platform for FPGAs.
I do a lot of work with image processing and need to test cameras / imagers. I am going to create a scalable test platform.
Let's write an efficient SRAM controller in Verilog.
How much faster can an algorithm run in FPGA fabric than in a processor? It depends on the algorithm, but often, much, much, faster.
Not all imaging systems need to be expensive. Solutions can be created using cost optimized FPGA and CMOS image sensors directly.
This project creates an FPGA-controlled hexapod robot which is capable of walking and navigating around its environment using sonar and IMU.
Python-powered edge analytics and machine learning for electric drives.
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