Ripe fruit identification using an Ultra96 board and OpenCV.
Determine a solar power plant's power output using data from the Cloud Motion Vector (CMV) Sensor System and a model of the power plant.
Creating a high performance edge processing node using the Ultra96, MIPI and DisplayPort.
I used a potentiometer to control a game's avatar.
Detect faces and read emotions in pictures with Raspberry Pi Camera using Google Cloud Vision.
Build a camera that automatically describes what it sees using AI captioning.
Imagine you wanted to take a digital photo, but you didn't have a camera. I know what I would do. Build my own digital camera!
Playing Google Chrome Dino game automatically with image processing and simulating key strokes with pynput module
EdgeAI made simple - Exploring Image Processing (Image Classification) on microcontrollers with Arduino Portenta, Edge Impulse, and OpenMV.
The following tutorial will introduce you with the concept of face and eye detection using python and OpenCV.
Smart Robot help to protect building residents in high rise apartment's access and common area with SanitizerOnDemand and DeliverySecured.
Creating a minimal MIPI imaging system on a Spartan XC7S15 device with no processors.
In early June Avnet announced the ZUBoard, featuring the ZUB1CG, the smallest device in the AMD-Xilinx Zynq UltraScale+ MPSoC family.
PYNQ is an open-source project that makes it easy to design embedded systems using Python for FPGA.
The robot is designed to operate by itself without manual control, and also pick up and drop an object using the forklifting concept.
Machine Learning and image manipulation to compare model performances
Creating a low-cost imager solution using a Xilinx Spartan S7 and Arm Cortex-M1.
A machine vision-based blob analysis method is explained to track an object in real-time using MATLAB and webcam.
Self-service checkout for vision impaired people using image recognition, and text to speech services running on Azure IoT Edge.
Apply Grad-CAM to have a better understanding of your Machine Learning image classification projects
Creating PYNQ-based image processing system on the Snickerdoodle.
An android camera-based augmented reality app that automatically solve and fill sudoku puzzles using vision.
I enjoyed transferring videos over WiFi to MakePython ESP32 Color LCD using ESP32_ScreenShotReceiver.
Design a vision based line following robot using CH32V307 Dev board and a Husky Lens
