This tutorial is on how to create DPU (3.0) TRD for Ultra96 board, how to setup the DNNDK and test with Resnet50 & Yolo application on it.
Are you having problems in compiling OpenCV in Raspberry PI? Here you can learn how to do it easily.
A simple lane detection system I had developed a while back.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
Texas Instruments Deep Learning API and examples ported onto BeagleBone AI's default Debian distribution image and mjpg-streamer filters.
The title says it all! This project uses OpenCV and a convolutional neural network in PYNQ on an Ultra96 V2 to create a smart lock.
Push the arcade button to ring "the doorbell" and take a photo -then review on Google Cloud. Adding Vision enables powerful prototyping!
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
Build a fun mini "Guess the Number" game machine using a micro:bit board and the compact MU Vision sensor, and program it using MakeCode!
Turn your refrigerator into a smart home IoT device using computer vision and voice.
The M5Stick-V is an AIOT (AI + IOT) camera with machine vision capabilities.
This post gives a general introduction of how to use deep neural network to build a self driving RC car.
This project uses a USB webcam, MATLAB and ThingSpeak to create a cloud based people counter.
Use a webcam and a Raspberry Pi 4 to extract information from QR codes and even make your own with Python
We install OpenCV, write test scripts to capture an image and also carry out colour separation using OpenCV.
Get machine learning running on your MaaXBoard using TensorFlow
I wanted to play with AIY Vision, so I wrote about 100 lines of Python, 3D-printed a bracket and tweet images of fleeting hummingbirds.
AI-powered easy-to-use vision sensor which can learn a new object, face, and color just by clicking.
The highest quality sound in a small. lightweight package.
integration of Amazon Echo in intel edison board
Connecting to the master computer vision system for object recognition for low processing costs.
First article in series about Line Following and Lane Following with CV
Setup the MaaXBoard over UART so you can access it via SSH. Then setup remote desktop.
Learn how to upload a file of any type (e.g. png, jpg, pdf or txt) to Wia.