Build Internet of Things (IoT) with ESP8266 and Micropython

Explore how the ESP8266 NodeMCU, an open source prototyping platform, enables Wi-Fi-enabled IoT for home security, using MicroPython to read sensors and interface with a mobile phone.

Learn to set up a NodeMCU with micropython, flash the firmware using a pc tool, connect via usb, and run simple micropython operations on the home automation prototype.

Discover how a passive infrared PIR motion sensor detects infrared radiation to identify movement, using differential voltage, and learn single trigger and repeat trigger modes for IoT security and automation.

Learn how to set up a PIR motion sensor with a microcontroller, adjust its sensitivity and time delay via potentiometers, and choose between single trigger and repeat modes.

Demonstrate a pir motion sensor on the esp8266 with micropython, adjusting sensitivity and delay via potentiometers, and validating a simple biosensor motion-detection demo.

Learn to interface an LED with a NodeMCU (ESP8266) in an IoT project, driving a digital output to blink the LED while understanding basic input/output and logic levels.

Blink a light-emitting diode on an ESP8266 using micropython by configuring a GPIO as output, importing machine and sleep, and looping infinitely with a 0.2 second delay.

Modify Micropython code to adjust the LED blink rate by changing sleep delays, use the time module with sleep or sleep_ms, and observe 200 ms, 500 ms, and 1000 ms.

Explore how a pull-up resistor ensures a defined high for an open switch and a low when closed, by wiring the data pin to 3.3V through the resistor.

Learn switch interfacing on the NodeMCU in an IoT project with ESP8266 and MicroPython, following the circuit diagram and ground connections to turn devices on and off.

Showcases micropython on an ESP8266 to read a switch with an internal pull-up using the machine module and drive an output when the switch is closed.

Define the internet of things as a network of embedded devices that communicate with each other and enable monitoring, control, home automation, and agriculture through ESP8266 and Micropython.

Explore the IoT technology stack from device hardware with sensors and microcontrollers to device software in micropython, through local and internet communications to cloud data collection, analysis, and a UI.

Explore the domains where IoT shines, including smart cities, agriculture, livestock, industry, healthcare, smart grids, and smart vehicles, with predictive maintenance and energy management.

Explore IoT market trends, from 15.1 billion devices in 2015 to a projected 75.44 billion by 2025, and acquisitions shaping the ecosystem, plus investments in manufacturing and production asset management.

Explore industrial IoT and Industry 4.0, where cyber-physical systems enable machine-to-machine communication and autonomous decisions, while examining IoT domains, platforms, analytics, and security considerations.

Collect, analyze data with Matlab, and act on sensor data using ThingSpeak, an IoT cloud platform that visualizes trends and integrates with third-party services.

Explore five ThingSpeak apps for IoT: Twitter updates, condition-based triggers, time-based scheduling, command queuing, and third-party web service integration.

Create a ThingSpeak account by visiting the site, selecting sign up, entering your email and details, verifying your email, and setting a strong password to access the IoT platform.

Learn to create a ThingSpeak channel by logging in, naming and describing it, enabling temperature and humidity fields, and optionally linking location metadata for IoT data storage.

Navigate the ThingSpeak channel dashboard to manage private and public channels, configure fields and descriptions, push and read data, and use import and export and time zone settings.

Upload data to a ThingSpeak channel via the browser by using the channel link and write key, posting values to field one as temperature, and upload to multiple channels simultaneously.

Read data from a ThingSpeak channel using a browser or http requests, and select all entries, a specific field, or the status, using the channel identifier and authentication when required.

Program a node MCU with MicroPython to connect to an access point in station mode. Use the connect function and print the IP address, subnet, gateway, and server after connection.

Interfacing a PIR motion sensor with a NodeMCU using MicroPython, wiring ground, 3.3V and data, and programming to print motion status and light an LED.

Set up and post sensor data to the ThingSpeak cloud using ESP8266 and Micropython, by connecting devices to an access point and pushing status updates for IoT projects.

Learn to install a missing micropython module on a NodeMCU by importing the module, connecting to the internet, downloading the installer, and running the install command for the requested module.

Use micropython on an ESP8266 to post PIR sensor status to an IoT cloud, covering wifi connection, device authentication, and data upload with the urequests library.

Upload the IoT program to the ESP8266, connect to the cloud, and verify motion-triggered data uploads. Open the cloud dashboard, download the CSV, and confirm alarm messages reflect sensor activity.

Understand what IFTTT is and how to create applets using web services. Configure a condition, trigger an alarm, and initiate a voice call over IP using services like Google.

Learn to test the voice call feature of your IoT setup by configuring a service, selecting the alarm, and receiving a call on your mobile after installing the companion app.

Learn how to establish communication between ThingSpeak and IFTTT to monitor a biosensor channel, trigger a RESTful request, and initiate a VoIP alert to a mobile device.

Learn to create a ThingHTTP instance in ThingSpeak to trigger alarms via POST requests, enabling IoT communication between devices using ESP8266 and Micropython.

Create a new ThingSpeak instance to monitor a channel, set an extreme alarm condition, and trigger Matlab analysis when the channel data inserts.

Demonstrate a motion-detection IoT project using ESP8266 and MicroPython, uploading code to a NodeMCU, monitoring sensor data, and triggering a cloud alert that calls a phone with a pre-recorded message.