The Anatomy of an IoT Solution

Artificial intelligence relies on data. One of the leading ways to collect data these days is by using the Internet of Things. IoT connectivity is often used in devices containing sensors of some sort, allowing us to automatically collect information that either was not collectible before or which needed a human to collect it. Let’s go on a crash course on how you build an IoT platform or IoT device architecture, and which layers work together to make up such a solution. For this example, our IoT connectivity will center around cellular and the use of IoT SIM cards. 

To begin with, it’s important to realize that there are four individual layers involved in building an IoT solution. Starting from the bottom — with individual frontline devices containing IoT SIM cards on-board — and working upwards to the networks over which your data is transmitted, and the IT applications that let you manage and control your entire fleet of IoT SIM cards. The layer hierarchy is arranged as follows.

Sensors: We’re Just Getting Started

I've been following Vayyar Imaging, an Israeli startup that provides radar imaging sensor technology for a few years. They provide a great example of how sensor tech is evolving to deliver business opportunities across multiple industries. The company originally focused on 4D radar imaging for detecting breast cancer by health professionals. But since then, the company’s hardware use cases have extended to other sectors, including retail, robotics, automotive, and smart homes.

For a comprehensive look at IoT systems, check out IoT Systems: Sensors and Actuators.

The Sensor Technology That Can Assess Reproductive Health

A couple of years ago, researchers at the Prague Fertility Center used AI as part of the IVF process. They believed that their work was the first automated technology to use AI to recognize and sort embryos.

Now, a team from Imperial College London and the University of Hong Kong have developed sensor technology that they believe can measure hormones in real time and provide a reliable assessment of fertility.