QR Code Scanning – implementation on PSOC™ Edge using a USB camera and ZBar or quirc library – used for half-autonomous driving
This project walks through how to bring up an IMX219 video pipeline on an AMD Kria KV260 board.
FLIR Lepton 3.5 meets the Forgix, the Trion T8 FPGA captures VoSPI while the RP2354 streams live thermal frames over USB.
Leveraging HLS functions to create a image processing solution which implements edge detection (Sobel) in programmable logic.
Here we use PIR sensor and Arduino to detect the motion of a hand. This detection can be used to operate electronic equipment.
Not all imaging systems need to be expensive. Solutions can be created using cost optimized FPGA and CMOS image sensors directly.
SeeTalker tells you what it sees with the help of a Raspberry Pi computer, Microsoft image recognition and Alexa.
Learning Image Classification on embedding devices (ESP32-CAM)
I do a lot of work with image processing and need to test cameras / imagers. I am going to create a scalable test platform.
Raspberry Pi running OpenCV on Python to play videos/movies on an SSD1306 OLED display.
The system is designed to detect unauthorized entry (face masks), that are essential to protect ourselves and to avoid spreading COVID-19.
Building on the Zybo Z7 image processing application. This project demonstrates using HLS with C/C++ to accelerate image processing.
Using the Genesys ZU 3EG to implement an image processing pipeline with the latest Xilinx image processing IP cores.
Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
This project shows how I automatically capture and classify images of birds visiting my bird feeder.
Matching socks is a nightmare, so having an intelligent system saying if a sock matches with another sock is the best weekend project ever.
Implementation real time image captioning and speech on Raspberry Pi by deep learning CNN and RNN.
Learn how to detect and track a particular colour using Python and OpenCV.
How to train your custom CNN model and run it on the microcontroller. Recognize anything! Well, almost.
The EdgeX uses LoRa to transmit Video and Image data over hundreds of kilometres without Internet using the onboard AI processor.
The project describes how to implement a real-time head pose estimation on Ultra96-V2 using Vitis-AI.
Getting a correct white balance is not an easy task. The project proposes a simple technque to validate our White Balance.
Typewriter sounds, animated words and ASCII pictures for this Raspberry Pi based Gonzo tribute art installation
