IoT project links for 2018

Internet is full of intetesting IoT projects built using Arduino, Raspberry Pi, ESP8266, ESP32, and many other hardware platforms. I will collect links to intetesting IoT projects to comments. 

Feel free to post your best IoT project links to comments…

686 Comments

  1. Tomi Engdahl says:

    Ultrasonic Rainwater Tank Capacity Measurement Device
    https://blog.hackster.io/ultrasonic-rainwater-tank-capacity-measurement-device-b135fc125e58

    Hacker “NikonUser” has a rainwater tank both for conservation reasons and simply to save a bit of money. While the tank itself seems to work quite well, checking the water level was difficult

    Although he originally envisioned a solar-powered device that transmits data wirelessly to a web page to help with this task, he decided to scale things back

    Reply
  2. Tomi Engdahl says:

    Alarm Cube for Greenhouse
    https://www.hackster.io/Pistikukac/alarm-cube-for-greenhouse-fab1c8

    Battery powered ESP8266 based Alarm Cube warns when there is no water pressure in the main water pipe, and neither electricity!

    Reply
  3. Tomi Engdahl says:

    PaPiRus Netapp
    https://www.hackster.io/vincent-willcox/papirus-netapp-c86ade

    Use PiSupply’s PaPiRus ePaper display to monitor your network with a Raspberry Pi.

    Features
    Find Raspberry Pi’s on your network
    Run a speed test of your internet connection
    Show a graph of your past speed test results

    Reply
  4. Tomi Engdahl says:

    Internet of Things Door Buzzer
    https://www.hackster.io/frank-burke-olson/internet-of-things-door-buzzer-04ae12

    An outdated door buzzer system is upgraded by connecting a Raspberry Pi to enable a user to remotely unlock the door using their phone.

    The Raspberry Pi IoT door buzzer has two (2) main functionalities: to be able to “buzz” myself in to the main doors of my condo and to take a picture of who was at the door and text it to me.

    Most of the code is in python, and was put combined from multiple sources on the Internet.

    There was a button that needed to be pushed in order to unlock the doors. I decided to use a relay to “push the button”

    I decided to add a feature that would take a picture of the door/ who is at the door whenever the buzzer is used and text it to me. I accomplished this by using an old Android phone with the app IP Webcam

    This runs a live video streamer from the Phone on the network it is connected to.

    I used the code image.py to go the link of the image then download it to the raspberry pi.

    To give the raspberry pi the ability to send the picture to me, I used the python smtplib library. This allows you to sign into your email account and send an email.

    Reply
  5. Tomi Engdahl says:

    Minecraft Sword for Real Life
    https://www.hackster.io/gatoninja236/minecraft-sword-for-real-life-f569ff

    Use an actual Minecraft sword to control the character onscreen. When you swing the sword the sword onscreen also swings.

    created a PCB using Eagle that would use an ESP8266 ESP12e and Bluetooth to communicate with the PC

    Creating the Sword
    I cut out the sword design on my CNC router and then traced the sword onto some foam.

    After using chilipeppr.com to generate GCode from my PCB design, I milled a blank copper-coated FR4 board using a 1/32inch router bit. Next I soldered on the ESP12e module and other connectors.

    There is code needed for both the ESP12e and the host PC. The ESP12e simply reads accelerometer data from the Sparkfun 9DoF stick and if it exceeds 2g of force it sends a message over serial. The Python script runs on the host PC. It waits for the serial data from the ESP12e and then uses pyautogui to click the mouse.

    All that is needed is for a user to simply plug in the module into the PC, run the python script, and then have fun! Just swing the sword and the Minecraft character will swing it’s sword as well.

    Reply
  6. Tomi Engdahl says:

    Big and Smart Raspberry Pi Picture Frame
    https://blog.hackster.io/big-and-smart-raspberry-pi-picture-frame-5a8f651742fd

    In “ancient” times, one would take a photo, have it physically developed, then if good enough, put it in a photo frame to display to the world. Circa 2007, we advanced to using an SD card and digital frames.

    With cheaply available monitors and the power of Google Photos, Henric Huckabay decided to do something different. He converted an unused 24” monitor and Raspberry Pi 3 into a sizable display that can be updated automatically.

    https://mrworf.github.io/photoframe/2018/02/26/building-a-digital-photoframe.html

    Reply
  7. Tomi Engdahl says:

    IFTTT Connected Kettle
    https://www.hackster.io/jmccarey/ifttt-connected-kettle-36faf7

    Connect a kettle to IFTTT to enable remote activation, notifications, and data tracking!

    Snap your Photon into a small breadboard and attach it to the bottom

    IFTTT Connection
    First, connect the Particle service to your IFTTT account. Make sure your Photon is plugged in and flashed with the correct firmware. Create a new applet with whatever “if” condition you desire – IE a button or Alexa. For the the “that” operation select Particle’s “Call a function” app and look for the name of your function in the dropdown. Use Particle’s “New event published” applet and the notifications operation for notifications on your phone or the Google sheets add row operation for data tracking.

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  8. Tomi Engdahl says:

    Harry’s Horn
    https://www.hackster.io/user616885513/harry-s-horn-c16819

    An empty Harry’s razor blade box is the perfect project enclosure for a small panic alarm which can be activated by an Alexa Echo or Dot.

    (Python)
    During the holidays I ran across Nathan Henrie’s Belkin emulator, which acts as a bridge to Amazon’s Alexa devices, e.g., Echos and Dots. Building a fauxmo server looked like the perfect way to integrate voice recognition into my home automation system. My home automation system is composed of several Raspberry Pi headless servers and I call it Diyhas for “Do It Yourself Home Automation System”

    It was a simple hack to modify the fauxmo Python source code to send MQTT messages to my Mosquitto server (Raspberry Pi). After that it was a piece of cake to send voice commands to all of my sensors and actuators.

    Harry’s Horn Project
    Harry’s Horn was inspired by the need to sound a panic alarm in the house to signal an intruder, fire or other emergency. I had all the parts on hand: Wemos ESP8266, a loud 12 volt piezo alarm, MOSFET switch, A23 12 volt battery with battery spring clip, tiny solderless breadboard and of course a Harry’s project box.

    Reply
  9. Desentupimentos Canecas says:

    Your IoT project for 2018 is very interesting. I was quite satisfied with the same.

    Reply
  10. Tomi Engdahl says:

    Voice-Controlled Magnifying Glasses
    https://blog.hackster.io/voice-controlled-magnifying-lens-7bce742272a4

    hacker Mauro Pichiliani came up with a voice-activated magnifying lens holder powered by a Raspberry Pi.

    A Python script running on the Pi is used to control the servo, and Node.js code is used to capture the audio. It then pipe commands to the Watcson speech to text service, translating the words “up” or “down” as needed. It’s an interesting idea, and certainly something that could be expanded upon.

    Reply
  11. Tomi Engdahl says:

    Omega2 AWS IoT Temperature Sensor Monitor
    https://www.hackster.io/pavel-metrokhin/omega2-aws-iot-temperature-sensor-monitor-de2711

    ABOUT THIS PROJECT
    A guide on how to set up your Omega to connect to AWS IoT as a ‘Thing,’ push sensor data to AWS and then visualize it on a dashboard.

    Reply
  12. Tomi Engdahl says:

    Microsoft Cognitive Services Demo on Windows 10 IoT Core
    https://www.hackster.io/JiongShi/microsoft-cognitive-services-demo-on-windows-10-iot-core-4d846e

    Microsoft Cognitive Services App Designed for Windows 10 IoT Core Devices.

    Reply
  13. Tomi Engdahl says:

    Wise Chameleon – Turn Anything into a Smart Device!
    https://create.arduino.cc/projecthub/wise-chameleon/wise-chameleon-turn-anything-into-a-smart-device-086231

    starting project definition to “smart device controlled modular actuators.”

    We would like to produce a ready-to-use device which will have a servo/motor head that can accept adapters (3D-printed or molded) and triggered by an app or smart hub.

    This will be helpful in transforming non-smart devices (blinds, etc) and also come up with new applications (watering plants) through various adapters.

    Reply
  14. Tomi Engdahl says:

    MidiMixerAndroidThings
    https://www.hackster.io/tomaszrykala/midimixerandroidthings-664a5e

    Build your own MIDI controller with Android Things and Nearby API.

    Reply
  15. Tomi Engdahl says:

    Secure Package Delivery Trunk for Your Front Porch
    https://create.arduino.cc/projecthub/castle-locker/secure-package-delivery-trunk-for-your-front-porch-1d0b55?ref=platform&ref_id=424_recent___&offset=47

    Alexa-enabled, Arduino IoT project to keep your packages safe and secure from theft, water damage and prying eyes when you are not home.

    Reply
  16. Tomi Engdahl says:

    Lane Tech HS – PCL – Internet of Things Door Buzzer
    https://www.hackster.io/frank-burke-olson/lane-tech-hs-pcl-internet-of-things-door-buzzer-04ae12

    An outdated door buzzer system is upgraded by connecting a Raspberry Pi to enable a user to remotely unlock the door using their phone.

    Reply
  17. Tomi Engdahl says:

    Universal TV Remote with Google Voice AIY Kit
    https://www.hackster.io/dvillevald/universal-tv-remote-with-google-voice-aiy-kit-b15310

    Add voice-controlled TV remote functionality to your Google Voice AIY kit using Google Assistant Library/API and LIRC package.

    Reply
  18. Tomi Engdahl says:

    Lane Tech HS – PCL – IoT Smart Blinds
    https://www.hackster.io/rjacobo2/lane-tech-hs-pcl-iot-smart-blinds-42a68a

    Adjust your blinds from the comfort of your seat without having to go through the effort of standing up.

    Reply
  19. Tomi Engdahl says:

    Air Impaired
    https://www.hackster.io/breakpointer/air-impaired-b3b4ea

    Studies have shown that CO2 can impair your cognitive abilities. Create awareness of indoor CO2 levels with this fun project.

    This project shows how to build a CO² for use in your home or office. With this device you can know at a glance if the air you are breathing is high in carbon dioxide. Using a simple color coded LED bar graph it displays the current CO² level. Each band is roughly 100 ppm of CO² increase. The range of the device is from 300 ppm (1 led lit) to 2,700 ppm (all 24 leds lit). For the precise reading use your mobile phone and connect to it over Bluetooth to monitor/track readings over time.

    Reply
  20. Tomi Engdahl says:

    Triggy – Sensor Node for Life Automation
    https://hackaday.io/project/12829-triggy-sensor-node-for-life-automation

    A smart sensor Node to trigger an action on a smartphone each time a physical change is detected (temperature, displacement, click…)

    Triggy is a multi-function connected object that triggers predefined actions on a smartphone or tablet when a physical events occur, based on user rules. No external server required, only a bluetooth LE link between the phone and the Node, providing a simple solution for an incredible number of everyday life situations, all this on a single CR2032 battery.

    An Android application allows to find and configure nearby Triggy Nodes and to create rules between triggering events and actions to be performed. Combining it with IFTTT or a cloud connection, the possibilities become even wider: home automation, remote notifications, cloud automation… As an action, an HTTP webhook can be sent via WiFi and interact with your Raspberry Pi or ESP8266 projects.

    Reply
  21. Tomi Engdahl says:

    DIY Sigfox GPS Asset Tracking with Ubidots
    https://www.hackster.io/ubimaker/diy-sigfox-gps-asset-tracking-with-ubidots-6ccc18

    Connect your Sigfox GPS asset tracking device to Ubidots cloud and deploy your IoT asset tracking applications in no time

    The Suntech ST730 is a portable device equipped with Sigfox technology, the GNSS location, Wi-Fi, and a set of sensors — making it a nice option for out-of-the-box asset tracking. This module lets users manage data when needed, preventing excess energy consumption with efficient time-outs.

    This guide is does address the set up of the Suntech ST730 nor its possible configurations; instead, we will be showing a few good set-up practices for building a highly accurate GPS application.

    Reply
  22. Tomi Engdahl says:

    ESP8266 Household Task Reminder
    https://blog.hackster.io/esp8266-household-task-reminder-1629085992ee

    Smartphones are useful for many things, including keeping track of appointments and tasks with a calendar coordinated among devices. Conveniently, a reminder pops up on your phone when you need to do something, allowing you do do it that instant. You can also easily ignore and forget about it. This is the problem that Andreas Spiess aims to solve with an ESP8266-based system that he creatively named “Reminder Device.”

    Reply
  23. Tomi Engdahl says:

    How to measure particulate matter with a Raspberry Pi
    https://opensource.com/article/18/3/how-measure-particulate-matter-raspberry-pi?sc_cid=7016000000127ECAAY

    Build an air quality sensor with these two simple, hardware devices and a few lines of code.

    Particulate matter is fine dust or very small particles in the air. A distinction is made between PM10 and PM2.5: PM10 refers to particles that are smaller than 10µm; PM2.5 refers to particles that are smaller than 2.5µm. The smaller the particles—i.e., anything smaller than 2.5µm—the more dangerous they are to one’s health, as they can penetrate into the alveoli and impact the respiratory system.
    The World Health Organization recommends limiting particulate matter to the following values:

    Annual average PM10 20 µg/m³
    Annual average PM2,5 10 µg/m³ per year
    Daily average PM10 50 µg/m³ without permitted days on which exceeding is possible.
    Daily average PM2,5 25 µg/m³ without permitted days on which exceeding is possible.
    These values are below the limits set in most countries. In the European Union, an annual average of 40 µg/m³ for PM10 is allowed.

    Reply
  24. Tomi Engdahl says:

    NO, CAT, THIS IS NOT THE LITTER BOX
    https://hackaday.com/2018/03/04/no-cat-this-is-not-the-litter-box/

    The build is clear-cut: an Arduino Uno clone for a brain, an MG995 servo, PIR sensor, spray bottle, and assorted electronics components. [peterquinn] attached the servo to the spray bottle with a hose clamp

    Reply
  25. Tomi Engdahl says:

    Interactive Plant Lamps for Quiet Spaces
    https://hackaday.com/2018/03/14/interactive-plant-lamps-for-quiet-spaces/

    No living plants were harmed during this project—the leaves likely wouldn’t let much light through, anyway. The plants are each equipped with a strip of addressable RGB LEDs and a flex sensor controlled by an Arduino Uno. Both are hot glued to the undersides of the leaves and hidden with green tape. By default, the plants are set to give ambient light. But if someone strokes the leaf with the flex sensor, it sends a secret message to the other plant that induces light patterns.

    Right now, the plants communicate over Bluetooth using an OpenFrameworks server on a local PC. Eventually, the plan is use a master-slave configuration so the plants can be farther apart.

    Alone Together – Plant Lamps
    http://www.instructables.com/id/Alone-Together-Plant-Lamps/

    Reply
  26. Tomi Engdahl says:

    Azande Gball
    https://www.hackster.io/zeijlon-systems/azande-gball-6c0695

    In this project, we’ll put an ADXL345 accelerometer inside a foam ball and monitor it in real-time with the Azande System.

    With the ball, we can now discover the physics of acceleration.

    What is the acceleration when I throw the ball.
    In the falling mode, you can measure the distance the ball falls when you drop it.

    Reply
  27. Tomi Engdahl says:

    Animated Smart Light with Alexa and Arduino
    https://www.hackster.io/bportaluri/animated-smart-light-with-alexa-and-arduino-101b4b?utm_content=68565962&utm_medium=social&utm_source=facebook

    Set up your Arduino and Raspberry PI to control lighting and animation on an RGB led strip via AWS IoT and Alexa voice commands.

    Reply
  28. Tomi Engdahl says:

    These interactive hair extensions can communicate over Bluetooth
    https://blog.arduino.cc/2018/03/20/these-interactive-hair-extensions-can-communicate-over-bluetooth/

    created interactive hair extensions capable of changing shape and color, sensing touch, and communicating over Bluetooth. The aptly named “HairIO” conceals a skeleton of nitinol wire, a shape memory alloy (SMA) that morphs into different forms when exposed to heat. An Arduino Nano handles control, enabling it to respond to stimulus such as messages from your phone using an Adafruit Bluefruit board.

    Reply
  29. Tomi Engdahl says:

    Feed the dog and close the door with an open source home automation system
    https://opensource.com/article/18/3/smart-home-assistant?sc_cid=7016000000127ECAAY

    Home Assistant, a versatile and lightweight open source tool, makes it easy to automate everyday household tasks.

    As voice assistants, smart bulbs, and other devices increasingly become household staples, more people than ever are bringing smart technology into their homes. But the bewildering assortment of products on the market can present challenges: Remembering which app to use and trying to link things together with automation can get complicated quickly. In this article, I’ll show you a few ways I used an open source home automation platform, Home Assistant, to bring all my devices together.

    Reply
  30. Tomi Engdahl says:

    HomeEnergy – Pi
    https://www.hackster.io/michael-nigbor/homeenergy-pi-cecfdf

    Sampler.py
    The sampler Python code is designed to be placed in a cron entry. It takes one sample and exits. On my Pi, the sampler runs every minute.

    The circuit produces an AC voltage ranging from -5 to 5 volts. The sampler reads these values at 860 times per second, calculates an RMS value and stores that in the SQLite3 table.

    The transmitter Python script is also designed to be run from cron. It reads up to 20 entries from the table, transmits them to a web destination and then deletes them.

    The web application can be anything that accepts an HTTP post with JSON

    The web application is a Node.js application, so it’s written in JavaScript.

    Reply
  31. Tomi Engdahl says:

    ATMOSCAN: Extremely Capable Environmental Quality Monitor
    https://blog.hackster.io/atmoscan-extremely-capable-environmental-quality-monitor-ed196b44a092

    If you need a basic air quality monitor, it’s tough to beat something off-the-shelf for price and functionality. If, however, you want something that can tell you everything about your environment, whether temperature, humidity, CO and CO2 levels, VOC (volatile organic compounds), radiation, and even more, then you might consider building an ATMOSCAN.

    This device integrates seven separate sensors to take in all this data, and as you might suspect, features a custom PCB to avoid a rat’s nest of wires inside. That’s important, because the structure of the unit is made out of a clear 10 x 10 x 10 cm cube

    http://www.instructables.com/id/AtmoScan/

    Reply
  32. Tomi Engdahl says:

    SmileBackPi
    https://www.hackster.io/hboelman/smilebackpi-d93007

    The SmileBackPi is a simple Windows 10 IOT project. The aim for the project is that the Pi reflects the emotion/mood of the group.

    In this first setup, it reflects happiness and anger.

    Reply
  33. Tomi Engdahl says:

    Bring Deep Learning Algorithms To Your Security Cameras
    https://hackaday.com/2018/03/21/bring-deep-learning-algorithms-to-your-security-cameras/

    AI is quickly revolutionizing the security camera industry. Several manufacturers sell cameras which use deep learning to detect cars, people, and other events. These smart cameras are generally expensive though, compared to their “dumb” counterparts. [Martin] was able to bring these detection features to a standard camera with a Raspberry Pi, and a bit of ingenuity.

    [Martin’s] goal was to capture events of interest, such as a person on screen, or a car in the driveway. The data for the events would then be published to an MQTT topic, along with some metadata such as confidence level. OpenCV is generally how these pipelines start, but [Martin’s] camera wouldn’t send RTSP images over TCP the way OpenCV requires, only RTSP over UDP. To solve this, Martin captures the video stream with FFmpeg. The deep learning AI magic is handled by the darkflow library, which is itself based upon Google’s Tensorflow.

    Enhancing my ordinary IP security cameras with AI
    https://harizanov.com/2018/03/enhancing-my-ordinary-security-cameras-with-ai/

    Reply
  34. Tomi Engdahl says:

    Azande Gball © GPL3+
    https://create.arduino.cc/projecthub/zeijlon-systems/azande-gball-6c0695?ref=platform&ref_id=424_recent___&offset=0

    How hard can you throw a ball In this project, we discover the wonderful world of acceleration

    Reply
  35. Tomi Engdahl says:

    Alexa Humour DJ
    https://www.hackster.io/start-down/alexa-humour-dj-24557f?utm_content=68510006&utm_medium=social&utm_source=twitter

    Chooses the best song and the best illumination type based on your current mood.

    The purpose of the project is to build a device that is able to play music and light up your room according to your current mood.

    In order to achieve this, we turned a Raspberry into an Alexa Echo using Alexa Voice Service kit and we built a custom skill with Alexa Skills Kit in order to understand the user’s mood.

    After this, we developed a python server that is linked to our custom skill via endpoint and is running on the Raspberry. This server handles the conversation and gathers useful informations to calculate the user’s mood.

    Reply
  36. Tomi Engdahl says:

    An Introduction to Storm Detector Modules
    https://hackaday.com/2018/03/22/an-introduction-to-storm-detector-modules/

    Lightning storm detectors have been around for a surprisingly long time. The early designs consisted of a pair of metal bells and a pendulum. When there was a charge applied, for example by connecting one bell to the ground and the other to a lightning rod, the bells would ring when a lightning storm was close by. In the mid 18th century, these devices were only practical for demonstration and research purposes, but very likely represent the earliest devices that convert electrostatic charge to mechanical force. A bit over a hundred years later, the first lightning detector was considered by some as the first radio receiver as well.

    As soon as I found out about storm detector chips, I knew I would have to get one working. For about $25, I ordered an AMS AS3935 module from China. This chip has been featured before in a number of excellent projects such as Twittering lightning detectors, and networks of Sub-Saharan weather stations. While there’s an Arduino library for interfacing with this IC, I’m going to be connecting it up to an ESP8266 running the NodeMCU firware, which means digging into the datasheet and writing some SPI code. If any of the above tickles your fancy, read on!

    Unlike the earliest charge-based detectors, this one works by picking up the RF signal produced by distant lightning strikes using a small 500 kHz antenna and doing some digital signal processing.

    Back to our detector, there exists an Arduino library to interface with it, if that’s your style. It looks easy enough to use, but my personal preference is to use NodeMCU and the ESP8266, although it has no built-in library for this chip.

    Reply
  37. Tomi Engdahl says:

    AI Face Recognition Lock
    https://www.hackster.io/Nyceane/ai-face-recognition-lock-7a3e43

    Using AI to train face recognition through Nvidia Jetson and Walabot add extra security.

    Reply
  38. Tomi Engdahl says:

    Configure an amateur radio gateway with a Raspberry Pi
    https://opensource.com/article/18/3/how-configure-aprs-igate-raspberry-pi?sc_cid=7016000000127ECAAY

    Help share local information by maintaining a piece of the internet-based backbone for packet radio.

    Reply
  39. Tomi Engdahl says:

    Simple WiFi Controlled RC Car
    https://www.hackster.io/brian-lough/simple-wifi-controlled-rc-car-cebb87

    really simple way of adding WiFi controls to a toy car. Built using an ESP8266 and is controlled using a webpage hosted on the ESP8266.

    Reply
  40. Tomi Engdahl says:

    Minimalist IoT Clock (Using ESP8266, Adafruit.io, and IFTTT)
    https://www.hackster.io/igorF2/minimalist-iot-clock-using-esp8266-adafruit-io-and-ifttt-65f297

    show how you can make a minimalist clock synchronized with the internet, able to ‘feel’ current weather condition.

    The microcontroller gets current time from a Google server, and displays it on a NeoPixel LED ring. It also receives current weather data from WeatherUnderground, using IFTTT and Adafruit.io platforms, and change LEDs colors based on the weather condition.

    Reply
  41. Tomi Engdahl says:

    How to Create a Smart Greenhouse with a DIY WiFi Timer/Controller
    https://www.designnews.com/gadget-freak/how-create-smart-greenhouse-diy-wifi-timercontroller/174999155958379

    You can add IoT functionality to any size greenhouse. Here’s how to build an Arduino-based timer/controller for controlling lighting, temperature, and humidity.

    Large and small grow facilities have special lighting, temperature, and humidity needs. Fans, coolers, heaters, and related venting or air flow controls have become standard requirements in most cases. A simpler, piecemeal approach might use outlet timers and one of a few available temperature and humidity sensor-based switch resources – like the Sonoff TH-16 WiFi base offering – and a simple thermostat solution for temperature maintenance.

    This project describes an Arduino based timer controller allowing DHT11 sensors, HC-05 Bluetooth, USB linkable configurations, based on a settable real time clock (RTC), and providing monitor reporting. When included, the report is also available on a serial HC12 transceiver link.

    Reply
  42. Tomi Engdahl says:

    Customized Ambient Computing with Flask-Ask
    http://www.iflscience.com/space/realtime-map-lets-you-track-the-outofcontrol-chinese-space-station-as-it-heads-towards-earth/

    Harness the computers all around you to run a Flask-Ask server handling voice commands with Amazon Alexa.

    For our Alexa and Arduino Smart Home Challenge entry, Kindbot is powered with Flask-Ask to control the Arduino and Raspberry Pi it is built upon.

    Flask-Ask, a flavor of Flask, is a relatively new tool that allows you to set up your own local server to control anything with Amazon Alexa. Many projects showcase how to use Lambda as the brains for your Alexa skill. This entails setting up lambda functions and any other services needed to support the application (S3, dynamodb, etc.) This flask-ask tutorial probably offers the fastest way to test your home automation application using local compute resources.

    Reply
  43. Tomi Engdahl says:

    Has Your NuHeat Floor Thermostat Failed? Build Your Own For Less Money than a Factory Replacement
    https://blog.hackster.io/has-your-nuheat-floor-thermostat-failed-build-your-own-for-less-money-than-a-factory-replacement-c9c9d823553

    thanks to kits from companies like NuHeat, heating mats are relatively easy and affordable to put under your own floors. Unfortunately for NuHeat customers, the thermostats that control those heating mats have a tendency to break from electrical spikes—and factory replacements aren’t cheap

    Unwilling to pay for another unit that would just fail again, he decided to build his own thermostat that is far more robust and customizable. Now, the NuHeat thermostat unit isn’t just a simple analog affair; it has a svelte touchscreen interface that Sergey didn’t want to give up.

    http://blog.sergem.net/how-i-built-a-thermostat-for-nuheat-floor/

    Reply
  44. Tomi Engdahl says:

    ESP32 Bluetooth Reflow Oven
    https://www.hackster.io/botletics/esp32-bluetooth-reflow-oven-14bf64

    Build your own circuit board reflow oven with the ESP32′s built-in Bluetooth feature and Reflowduino, an open-source hardware ecosystem!

    In this tutorial I’ll show you how to build your own wireless reflow oven so you can assemble quality PCBs in your kitchen without having to worry about manually turning the knobs and worrying if your boards are getting too hot! Not only that but we’ll be using the built-in Bluetooth Low Energy (BLE) functionality of the ESP32 (because what else would you use in 2018) as well as an add-on module I’ve built as part of an open-source reflow control ecosystem called “Reflowduino”.

    Reply

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