Last time, I showed how easy it is to detect colors using the Pixy2 camera. However, the camera’s price might be too expensive for some. Luckily, there is a much cheaper option to implement an Arduino color sensor. The color sensor I’m referring to is the TCS230 (and equivalent TCS3200) …

Unlike stepper and servo motors, precision control for DC motors is impossible unless a sort of feedback mechanism is employed. If your application requires a consistent motor speed or a stimulant-dependent speed then you certainly need feedback. This tutorial aims to develop a simple motor speed sensor for a more …

The 28BYJ-48 stepper motor is a cheap and robust stepper motor, suitable for use on robotics and other slow-speed applications. In this tutorial, I will guide you on how to use this stepper motor with Arduino.

An ultrasonic sensor is a common tool for measuring the distance of an object in front of it. While I recommend using an Arduino with ultrasonic sensor to achieve real-time results, it is still possible to use the sensor with a Raspberry Pi. This tutorial shows you how to build …

How do you measure the volume of a liquid? There are a couple or so ways to do it. One technique is by determining the level of the liquid in a container with a known cross-sectional area. For level measurements, an ultrasonic sensor is useful. Another technique is to use …

The DHT22 is a temperature and humidity sensor in one package. It is widely used mainly due to its price but also because of it being robust and user-friendly. In this NodeMCU DHT22 interfacing tutorial, I will guide you in creating an IoT-based weather monitoring project.

A Passive Infrared (PIR) sensor is a popular sensor for detecting the presence of a person. This is a type of proximity sensor although you may also call it a motion sensor. This tutorial aims to guide you in using a PIR sensor with your NodeMCU ESP8266 WiFi board.

Lack of pins to use is a common challenge in designing microcontroller-based projects. This is particularly true when dealing with liquid crystal or seven-segment displays. Multiplexers and display drivers are great help but at an additional cost. Thankfully, a software-based solution exists to solve such problem.

The basic Arduino boards are not powerful enough for image processing. Heck, they are not even good enough to capture photos without the help of a desktop computer. However, there is a special imaging device you can use to make an Arduino detect objects.

For those who are looking to work with images on their projects, the Raspberry Pi offer enough tools to work with. This short tutorial will guide you on how you can take pictures using a camera attached to your Pi and then upload those camera images for use in a …