Facial recognition and identification on a Raspberry Pi, connected to the Internet of Things using the IoT JumpWay MQTT Library.
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
The image extraction is based on a novel algorithm which effectively works with the encoding system of the robot movement.
Texas Instruments Deep Learning API and examples ported onto BeagleBone AI's default Debian distribution image and mjpg-streamer filters.
Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.
In this post, you will learn how to connect a LiDAR to your Raspberry Pi 4 Model B using ROS Melodic on Ubuntu Desktop 18.04.3.
Tutorial on object detection with Kendryte K210 and raccoons!
The project focuses on a real-time robust human detection and tracking system for video surveillance that can be used in varying situations.
Startup guide for installing OpenCV 4.1 with extra lib for facial recognition using Raspberry Pi Camera. Includes scripts and files.
This is an image processing based fire detection and extinguisher system using Arduino and OpenCV.
iRobbie is the revolutionary app that brings smartphone power to your Arduino project.
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.
RPLIDAR A1 is a low cost 360 degree 2D laser scanner (LIDAR) solution developed by SLAMTEC.
This tutorial will take you through the steps required to get started on the WisCAM Linux Camera module from RAK Wireless.
Add the power of a GPU to your rover.
Water level measurement using artificial vision with Raspberry Pi.
Get machine learning running on your MaaXBoard using TensorFlow
A candy dispenser using Android Things and TensorFlow Lite.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
This ML acceleration tutorial is on how to create a DPU TRD in Xilinx VIVADO design tool and how to configure Petalinux for Desktop-GUI.
This crawler robot has a machine vision. Moreover, this robot can pass various obstacles.
This post gives a brief introduction of how to visualize your self-driving model. it can be very helpful for the model debugging.