This project compares inferencing MobileNet and EfficientNet-Lite on the Coral dev board vs MaaXBoard and Raspberry Pi.
This project compares inferencing MobileNet and EfficientNet-Lite on the Raspberry Pi vs MaaXBoard and Coral dev board.
This project compares inferencing MobileNet and EfficientNet-Lite on the MaaXBoard vs Coral dev board and Raspberry Pi.
TensorFlow Lite makes sense for edge devices like the MaaXBoard.
Facial recognition and identification on a Raspberry Pi, connected to the Internet of Things using the IoT JumpWay MQTT Library.
Tutorial on object detection with Kendryte K210 and raccoons!
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
iRobbie is the revolutionary app that brings smartphone power to your Arduino project.
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.
RPLIDAR A1 is a low cost 360 degree 2D laser scanner (LIDAR) solution developed by SLAMTEC.
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.
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.
A candy dispenser using Android Things and TensorFlow Lite.
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 post gives a brief introduction of how to visualize your self-driving model. it can be very helpful for the model debugging.
Get machine vision running on your MaaXBoard using OpenCV.
An Adafruit Time of Flight LiDAR replica.
This article is aiming to give a brief introduction of applying AI edge computing technology to our autonomous Donkey Car project.
This application can help to test self-driving model by using video. The developer also can use this tool to understand how the model works.
Hajimete! Let DL pushing madness begin!
How to train your custom CNN model and run it on the microcontroller. Recognize anything! Well, almost.