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Cognitive and Reasoning about Things and Smart Objects

  • 8 mths ago

IoT applications have grown in size, complexity, and functionality over the last decade. In early IoT installations, networks of sensors, wireless sensor networks, and RFID (Radio Frequency Identification) devices were deployed in small to medium-size deployments within an enterprise. Furthermore, they were primarily concerned with data collecting and processing, with little intelligence. In this article, we will discuss enhancing IoT devices to make them able to reason without the need for human intervention. We will go through concepts about ‘Smart object’ and how AI enables the ability to make the decision of ‘things’.

What are “Smart Objects”?

The Internet of Things (IoT) envisions a world in which ordinary things are linked to the Internet, recognized, and communicate with other devices. These are commonly referred to as “smart objects”. The goal is to digitize applications and processes in order to make them simpler and more efficient.

Smart objects (also known as Intelligent Objects) are objects that have location and communication technology and are linked to a communication network, called the Internet of Things (IoT). These intelligent things are capable of entering, storing, and processing data, as well as interacting with other objects, systems, or people. They can be embedded or fixed in other objects so that they can collect location and sensor data, as well as perform decision and control activities.

Smart objects in the Internet of Things bridge the gap between the physical and digital worlds and provide new capabilities:

  • Acquisition of real-time data inside operational processes.
  • Information processing and decision-making are decentralized.
  • Completely independent execution.

These features provide substantial added value to both businesses and individuals:

  • Work Support: Assisting individuals with intuitive, user-friendly gadgets and new cyber-physical services.
  • Digital data processing: obtaining more information about operations at more frequent intervals.
  • High-Resolution Management: Planning, management, and control are aided by automated data collecting.

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