Back in the 90’s, the 1990’s, I used to be a late-night radio show host on Froggy. I was known as Jeremiah Bullfrog. When I left the radio business to start my own software company, Troy, the head engineer, gave me a parting gift – an ‘On Air’ light. Our company had remodeled and consolidated studios and lots of surplus gear had accumulated. I had the On Air light on my office shelf for over 20 years. With the recent events, I came up with a project to put the On Air light to use.
On Air Light
Along with the rest of the world, I have been working at home for the past couple of weeks. All of my meetings are now online/virtual ones and we use Microsoft Teams and Zoom. We also use video to better facilitate a connection and help us focus on the meeting. The camera that I have doesn’t have a light indicator showing whether it is in use. So, I put two and two together and come up with a remote controllable ‘On Air’ light for online meetings. It was the perfect project to entertain my three-year-old for a few hours. He was delighted every time the light turned on.
George helping me hack the ‘On Air’ light in my shop
George and I ripped apart a Sunbeam Touch Light that I got for $1 in a surplus sale. This light had a strip of LEDs, a controller, and a power supply. I just added an ESP8266 module and connected it to ThingSpeak using my tutorial that I published a few years ago. I wrote a little Visual Basic.NET script based on a project that I found on CodeGuru to detect whether or not the webcam was in use or not. If it’s in use, the script sends a signal to ThingSpeak to turn on the light.
CheerLights now supports the MQTT protocol. This means that devices and apps can receive real-time updates to changes in the CheerLights color without polling for the latest color.
How to use MQTT
Connect your device to mqtt.cheerlights.com:1883 and subscribe to the “cheerlights” topic. When the CheerLights color changes, the color name will be streamed to your device. You no longer have to poll for the latest CheerLights color on the ThingSpeak API.
It’s that time of year again… It’s time to show the person who you love how much you love them with an internet-connected gift. I got aggressively marketed to on Facebook to purchase something called the Lovebox. How did the Facebook algorithm know that I would be interested in an IoT device that displays messages? I got the Lovebox two days after I ordered here in the US shipped directly from France where the startup is based. The whole experience was excellent.
The Lovebox is an internet-connected device that displays messages that you write using their mobile app (for iOS and Android). Here’s what it looked like on my app. I got a flood of hearts on my screen when Becky acknowledged the receipt of my message.
The Lovebox rotates the heart on the front to tell the recipient that there is a message waiting. They open the lid to see the message. The device is sitting comfortably in my wife’s office. I love the idea of being able to send a notification to her without it being a text message.
The idea of the Lovebox is simple, but it is perfectly executed. I was quite impressed with the mobile app, the setup experience, and its utility. Love is all over every aspect of this device and system. Check it out on Lovebox.love. C’est si bon.
Back in 2007, Jason Winters and I started working on what would become ioBridge, RealTime.io, and ThingSpeak. The phrase “Internet of Things” got added to the discussion when Richard MacManus resurrected it from the RFID days in the late 90s and applied it to companies like ourselves in a 2009 article in the New York Times. Jason and I had experience with projects going viral such as a remote-controlled tractor with a webcam and an aquarium with real-time controls and monitoring. “Jason’s Fishcam” had sensors reporting temperature on a webpage and an interactive gator inside the aquarium. People used to watch the fish and control the gator mouth.
Jason’s Fishcam (January 2006)
The “Slashdot Effect” used to crush our homespun servers and render our projects useless for a period of time. Jason had the idea of moving the “control” part of our projects to the web. If all commands routed to and from a web server instead of going directly to a device, then we could control which commands went through, secure the connections using SSL, create access lists, and change things on the fly. This idea became our obsession for over a decade with several patents, licenses, open source projects, and customers from all over the world to show for the effort. We still work on large-scale IoT, Internet of Things for short, projects and have helped companies of all sizes reduce costs, predict equipment failures, and bring about connected products that serve a purpose.
“Twitter for Things” Demo App
When I first heard about Twitter back in 2006, I thought this is a perfect idea for things. Why would a human want to post short statues? Devices have a lot to say. “The HVAC system just turned on.” “The conveyor is drawing 3.1 amps.” “SYSTEM FAILURE: Code 87643.” If a web application could capture these messages, then the messages could be used for analysis. Jason and I started ioBridge in July of 2008 and built a scalable out-of-the-box solution plus a hardware dev kit. The only issue is that we only knew 30 people that were interested in the aquarium project. We sent an email to all 30 people and one person named Pete purchased a dev kit. He built a monitoring system for large aquariums in the Baltimore area. The next wave of users and customers didn’t come until Stephen Myers created an interactive pet treat dispenser for his dog. Stephen didn’t have an aquarium, but he did have a dog. Everything is a remix. Stephen blogged about his project on December 3, 2008, and his project got picked up by “The Unofficial Apple Weblog” since he used the iPhone as the controller.
iPhone Controlled Pet Treat Dispenser (December 2008)
To demonstrate the idea for a “Twitter for Things” to investors, I created @MyToaster – a Tweeting Toaster that used our system to send status updates about whether or not it was toasting. I followed Stephen’s idea and blogged about the toaster with my article, “Social Networking for My Toaster” on December 8, 2008, and described in detail how to build your own connected appliance. A few days later, Priya Ganapati picked up the story of MyToaster and wrote an article for Wired Magazine. This project and our company… took off.
First MyToaster Article in Wired Magazine (December 2008)
The toaster allowed me to start conversations with product manufacturers and designers that had ideas for new products. I worked on a number of consumer products and industrial systems that all use the same technology that Jason and I created. The Amazon Echo wouldn’t be possible if the Echo device had to understand all aspects of speech and user intents locally. The web allows Echo to tap into a huge data set that enhances its functionality. ThingSpeak is still going strong. You can still sign up today for a free, non-commercial account and join a community of over 350,000 developers around the world that are all learning about IoT and building new IoT applications.
ThingSpeak System Diagram (December 2010)
Fast forward 10 years, and we are still working on the same thing, but the things are now factories, agricultural systems, windmills, and space probes. I was really happy when Katie Blackley from Pittsburgh’s NPR New Station asked me for an interview and an update regarding the MyToaster that started my journey. It has been 10 years and the toaster still works. It is now outfitted with a Particle Photon and uses the ThingSpeak web service to update its thousands of followers. I am glad she reached out to me as it caused me to reflect a bit about the journey and prompted me to share my history of the Internet of Things.
Appendix: MyToaster
MyToaster has been popular on its own for a long time. I have gotten requests to talk about the toaster on news stations, interviews for magazines, and to have the toaster brought to IoT conferences. Every trade show we did had MyToaster on display. The “touring toaster” was a stand-in and took a lot of abuse over the years.
They listed that MyToaster from 2008 was a significant event that shaped “Connected Appliances” and “Consumer Internet of Things Products”.
2008 – @mytoaster joins Twitter. It’s a toaster that Tweets. Hans Scharler rigged up his toaster to his Twitter so the appliance Tweets one of two things: Toasting or Done Toasting.
A man in Pittsburgh, Pennsylvania has rigged his toaster to tweet “Toasting” or “Done Toasting” with each use, and — despite the account’s lack of variety — has gained more than 2,000 followers.
In order to further connect us with our possessions, Scharler and his friend Jason Winters created a platform for developers called ThingSpeak— a sort of Twitter for things — that lets objects send messages, broadcast their location, graph their temperature, and more.
“Tweeting appliances speaks to this whole ‘internet of things’ idea,” says Hans Scharler, a tech consultant who also writes comedy material. “If your appliances were outputting information, it can always go to a database. But we love to share information. So why not find a way to do that?” Scharler found online fame for his twittering toaster, whose tweets alternate between “toasting” and “toast is done.” @mytoaster has about 200 twitter followers.
Yesterday, I was building an integration with IFTTT and my Philips Hue lights in my office. I wanted the Philips Hue lights to change to the latest CheerLights color. IFTTT offers a webhook as a trigger, so I decided to use MATLAB to trigger the webhook. MATLAB will get the latest CheerLights color, then send it to IFTTT and IFTTT sends the color to Philips Hue.
When I created the IFTTT webhook, IFTTT presented a CURL example:
curl -X POST -H “Content-Type: application/json” -d ‘{“value1″:”green”}’ https://maker.ifttt.com/trigger/mwOffice/with/key/xxxyyyzzz
Here’s how to turn the CURL request into a MATLAB command:
I recently got the change to give a ThingSpeak IoT demo at Boston TechJam. MathWorks is one of the sponsors so we got to participate with other tech companies and over 8,000 students and entrepreneurs from Boston. My demo used MATLAB to detect multiple faces from a live stream of video. The MATLAB analysis code sends the count to a ThingSpeak channel. I used the new ThingSpeak gauge widget to show how many people stopped and participated in the demo.
I have a lot of favorite times of the year. I get excited about the holidays, weekends, evenings, and days. I am usually filling each day with something new and/or pushing a project further along. One of my favorite events is the Bay Area Maker Faire. Imagine over 120,000 makers, hackers, builders, engineers, and students putting on the world’s biggest show-and-tell? You will see things that spark new ideas and you will see giant robotic giraffes.
You never know who you are going to run into. I was so happy to meet one of the first users of ThingSpeak! This is Andy Leer of Leer Media. Andy was introduced to my IoT projects back in 2008 at Hack Pittsburgh! He was instrumental in me being able to kickstart my startup and help support my growing community. Andy provided meeting space for my IoT Meetup in Pittsburgh.
A couple of the Mythbusters also showed up at the Bay Area Maker Faire. I got to talk about MathWorks software with both Adam Savage and Grant Imahara. Grant remembers using MATLAB quite a bit in his education and later his engineering projects.
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I have been getting ready for this year’s Bay Area Maker Faire. Stop by the MathWorks booth to see our latest hardware projects and demos. We have giveaways and info on the latest products. See you soon at the Maker Faire!
It’s that time again. That time when people all across the world synchronize their lights together with CheerLights! People have built amazing CheerLights displays. I have seen everything from color-changing shoes to snowmen… and trees.
CheerLights Introduction
Here’s a quick introduction to the CheerLights project for those who are new to the project. Imagine 1000’s of multicolored lights all around the world synchronized to one color. When one of the lights turns red, they all turn red. To control CheerLights, send a tweet to @cheerlights or include “cheerlights” somewhere in your message with the name of a color. This will cause a chain reaction and all of the CheerLights displays and apps will change their color to red.
ThingSpeak MQTT Service
CheersLights is powered by ThingSpeak IoT. And, this year, I am happy to introduce real-time CheerLights updates using ThingSpeak’s new MQTT service. Using the MQTT service by ThingSpeak, your CheerLights change instantly. ThingSpeak has posted an example that gets a Particle Photon connected to CheerLights using MQTT. The Subscribe to Channel Updates Using Particle Photon Client example shows you how to use a Particle Photon Wi-Fi board to subscribe to channel updates from the CheerLights channel. The program displays the color read from the channel on the built-in LED on the Photon board. You can subscribe to the channel feed or directly to the color field on the CheerLights channel.
Once you learn how to use the MQTT service from ThingSpeak, you can easily adapt it to your IoT project. This is a great way to have real-time control of a device or real-time monitoring of sensors.
If you want to follow the project and see what others are building, visit CheerLights.com or follow on Twitter.
While at re:Invent, I got to take a deep learning workshop to learn about the new capabilities of AWS such as SageMaker and Greengrass. We used a new device created by AWS and Intel called DeepLens to build an image classification model, deploy it to the device, and use the model to predict image labels. In reference to the TV show Silicon Valley, we trained a neural network to determine if the image from the video camera contained a “Hotdog or Not hotdog.” My machine learning model performed better when the hot dog had mustard on it.
Fun aside, the DeepLens device is a really powerful way to learn image and video-based machine learning and artificial intelligence. Once you get ahold of the device, you can follow the workshop by downloading the materials and code from GitHub.
I am working on a project that uses the Arduino MKR1000 with ThingSpeak. While working on my code, I uploaded a bad sketch to the MKR1000. Every time that the board powers up, it starts running my bad code over and over and appears to be stuck in an infinite loop. I tried pressing the reset button, unplugging the USB cable, reboot my computer, reinstalling drivers, and unplugging the USB cable (for good measure). Nothing made the board responsive again. I found a forum post talking about the bootloader. The user mentioned that quickly pressing the reset button twice put the device into a good state by loading the bootloader. Success!
