This Web Remote can now control your ESP32 microcontroller also. Follow instructions in the article to get started within minutes. Create Account & Login to access your Web Remote. Read this article to know more.
Learn how to use Rest-APIs to exchange data over internet for IOT projects using Raspberry Pi, ESP32. The article explains sample codes written in Python (for Raspberry Pi), C (for ESP32), PHP and Javascript (for Web Application) accessing a common Rest-API.
Train a custom object detection model using Tensorflow Lite Model Maker and run it on Raspberry Pi. Model Maker library simplifies the task of model creation through Transfer Learning using your data. The best part is the whole process can be completed on a browser using a readily available Colab notebook. You just have to prepare your data.
A demo MQTT project with source code to get you started with setting up MQTT network for data exchange between modern embedded devices (Raspberry Pi and ESP32 microcontrollers) over wifi LAN.
From the archive: how Google Assistant once controlled the GPIO pins of a Raspberry Pi through an IFTTT applet, without writing code. The project stopped working when IFTTT retired its Google Assistant trigger; the write-up is kept as a record of how it was built.
Learn to implement Image Classification on Raspberry Pi using Tensorflow Lite. The article explains the working of code in detail. The code picks up an image from the disk, so no need to attach any camera for this project. Models, images and source code used in the project can be downloaded.
This online widget responds to the data sent by your Raspberry Pi. Create an account / login to access your widget. Download the code for your Raspberry Pi and start the fun.
Learn how to create a Web based dashboard for visualising the data generated by a remote embedded hardware. Water tank is just an excuse to apply these modern end to end IOT techniques. Fun guaranteed.
This is a web based remote for a Raspberry Pi’s GPIO and Camera. Yes, you can turn ON / OFF GPIO pins of your Raspberry Pi and request camera picture remotely using this remote. Create Account & Login to access your remote. Read this article to know more.
Install the complete Earthrover robot software on your Raspberry Pi with two commands. The installer sets up a web server, the camera stack, OpenCV, the TensorFlow Lite runtime and Coral USB Accelerator support, then fetches the robot code and the machine learning models. Updated and tested for the current Raspberry Pi OS (Bookworm and Trixie). All you need is a Raspberry Pi and a camera to embark on this learning journey.