The best pictures I've ever taken with Raspberry Pi camera module
After my previous project, I decided to go a step further and make MARK follow some numbers on the ground
M.A.R.K is a robot designed for learning about Artificial Intelligence. Easy to assemble and use, I had a chance to test him.
A machine vision-based blob analysis method is explained to track an object in real-time using MATLAB and webcam.
It's not the compute performance, it's how you use it.
Texas Instruments Deep Learning API and examples ported onto BeagleBone AI's default Debian distribution image and mjpg-streamer filters.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
The M5Stick-V is an AIOT (AI + IOT) camera with machine vision capabilities.
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.
This post gives a general introduction of how to use deep neural network to build a self driving RC car.
Get machine learning running on your MaaXBoard using TensorFlow
integration of Amazon Echo in intel edison board
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.
It shows how to send data from a light sensor to Azure storage.