Measure Temperature and Humidity on the Raspberry Pi Pico W

In this video lesson we show how to create a simple project where the Raspberry Pi Pico W is connected to a DHT11 temperature and humidity sensor. The Pico measures the temperature and humidity from the sensor, and then displays it both on the Computer Screen, and on the LCD display we have connected to the Pico.  The display toggles between showing degrees C and degrees F via a pushbutton. The schematic for the circuit is shown below:

Raspberry Pi Pico with DHT11
Schematic showing how to connect LCD, pushbutton and DHT11 to the Raspberry Pi Pico W

Below is the software we developed for this project. Note you must first install the LCD library, which we show how to do HERE.

 

LCD1602 Display Library for Micropython and the Raspberry Pi Pico W

This is some demonstration sample code showing use of the LCD1602 as an LCD display for the Raspberry Pi Pico W. The code is explained in the video above. It will prompt a user for his name, and then display a greeting on the LCD.

 

Below is the library for the Sunfounder Kepler Kit LCD1602 display. It allows the LCD display to operate with the Raspberry Pi Pico W. The code should be copied and pasted into Thonny, and then saved to your Raspberry Pi Pico W, to the same folder that contains you Python code. It MUST be saved with file name lcd1602.py

 

Raspberry Pi LESSON 63: Object Detection on Raspberry Pi Using Tensorflow Lite

In this lesson I show you how to do object detection on the Raspberry Pi using Tensorflow Lite. We will write our first program and by the end of the lesson you will have your Pi detecting objects, boxing them and labeling them in OpenCV.

The video demonstrates step-by-step how to install the tensorflow libraries.

For your convenience I have included the code below we develop in this lesson

 

Raspberry Pi LESSON 61: Finding and Tracking Faces and Eyes In OpenCV

In this video lesson we show how to use Haar Cascades in OpenCV on the Raspberry Pi to find and track  faces and eyes. We show the intelligent way to find eyes, such that CPU resources are not wasted. Below we show the code for your convenience.

 

Making The World a Better Place One High Tech Project at a Time. Enjoy!