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All major cities face a waste problem. A growing population means a growing amount of trash, including the kind that ends up in street bins. That creates a need for cities to find new ways to deal with waste and optimize existing procedures. Waste management is one more field where implementing IoT can help. Let’s see how municipal governments are using technology to keep cities clean.

Internet of Things technology generates a lot of data that makes it easier for the user to understand processes and events. The term is extremely broad, encompassing technologies and devices gathering all kinds of unsorted data. To gain the most value from these technologies, it’s useful to categorize this data according to factors such as temperature, speed, location, humidity, and the like. Today, let’s talk about the Location of Things — and how we can use geopositioning to our benefit.

You have a device in your pocket that can answer lots of questions. Want weather info? Need a ride downtown? Can’t remember the exact rate at which glaciers melt? A search takes just a moment. But can it really answer any question? How about: “What’s that castle in front of me?” Or: “Can you translate the whole restaurant menu?” So, today we are tackling the subject of Computer Vision.

The industrial Internet of Things makes it possible to gather various data that businesses can use to their benefit. What if we told you that such data can be used to study and improve a product even before it is launched? How about extracting value from a product and testing all kinds of “what-if” scenarios without physical interaction? That’s exactly what Digital Twins are designed to do.

The IoT, or Internet of Things, is a progressive technology that allows for building networks of any scale that allow different types of devices to collect, process, and share data among one another and the Internet. Tracking and tagging are among the most important features the IoT provides.