IoT and Easter
It’s that time of year again. People all around the world are getting ready for Easter, the spring holiday that brings back memories of sweets, vibrant colors, traditions and of course the Easter egg Hunt.
Traditionally, parents hide Easter eggs filled with chocolates, and the kids will try to collect as many as possible. While it’s hard to believe that the Easter egg hunt could get even better, IoT stands to change the way we hunt for those infamous eggs.
If your hunt is taking place in a large area such as a park, you can enhance it with geocaching. The organizer just has to give the players the GPS coordinates of the first group of eggs or the “cache”. Using both the coordinates and a tracking device, the participants have to find the first cache so they can get the coordinates for the second cache. The coordinates only place the players within six to twenty feet of the eggs. After that some classic manual hunting will need to be done.
If you are keeping score using the traditional pen and paper method, nothing stops the participants from checking off the list whether or not they really found an egg or bunny. However, Dr. Lucy Rogers found a way to make the bunnies connected. She developed a way to turn a 3D-printed bunny into a simple messaging device with a mobile SIM card. When the bunny receives a message, it lights up and has the ability to send messages back. The organizer can receive notifications when the bunny is found, making it ideal for all of your hunts this Easter.
Another fun alternative to a traditional hunt is a virtual one. Developers at Gamar have created the “Easter Hunt” app that uses the location awareness capabilities on a mobile device to allow children to search for virtual eggs around their home or back yard. Players use the augmented reality app to go through a real life trail to find the hidden virtual eggs.
IoT and machine learning capabilities can even be used to improve the process of making Easter chocolate. Making these chocolate bunnies requires a lot of perishable products to be available and stored at the proper temperature. If we look at viscosity of the chocolate as an example, any deviations caused by changes in temperature, humidity, capacity utilization, pressure, power usage or flow could result in the whole batch going bad. Machine learning and IoT enable large amounts of data to be collected and analyzed, making it possible to understand which anomalies led to changes in viscosity and determine patterns. This means that these changes can be detected before problems occur and the batch is spoiled.
This technological spin on one of the most famous scavenger hunts just goes to show that IoT is seeping into almost every aspect of our lives, even our holiday traditions.