Artificial Intelligence of Things (AIoT) – What Is It?
Artificial intelligence (AI) and the Internet of Things (IoT) are two incredibly popular acronyms that have newly emerged as a disruptive force within the technological world. In recent years, AI and IoT have revolutionized and transformed how the world interacts. Now, this advancement has progressed even further with a new innovative and exciting combination called Artificial Intelligence of Things (AIoT).
Let’s provide a bit of context. The definition of AI is intelligence-driven machines that perform human-like tasks, such as a virtual assistant, self-awareness and automation activities. IoT encompasses interconnected computer and systematic devices that can collect, transfer and communicate data through networks in real-time without any human intervention.
So, how exactly does AI and IoT combine itself?
Independently, both AI and IoT offer their self-sufficient benefits. When combined, expect operational, interaction, data management and analytical improvements.
Let’s start by breaking down how IoT works in basic terms. The equipment and the devices you wear are connected to the internet that processes data. IoT systems are built for control and signal triggers, for example, you input data into a health application and the application returns meaningful data that helps you look after your health. It monitors your heart rate, blood pressure, and temperature, and triggers activities that help to maintain those things.
AI makes intelligent-driven decisions through the completion of tasks via data-learning algorithms or a set of rules or through the processing of data that the machine can learn from to deliver accurate output.
When adding AI and IoT to make AIoT together, those IoT devices can analyse data used within equipment or devices and make proactive, intelligent and accurate decisions without the involvement of humans. Eventually, these devices will become smart, communicative and powerful devices that can process data and make decisions faster and more accurate than ever. Humans are understandably more trusted, and the switch to being more dependent on machine intelligence is not easy. In essence AIoT, can bridge this gap and make the transition from trusting humans to trusting technology as seamless as possible.
In today’s world, AIoT is already having a global impact. To find out more, contact one of our experts, but in the meantime, let’s take a look at some examples of AIoT in action:
Security smart surveillance uses analytics with real-time data to help detect whether anything suspicious is happening within a certain location. This is something happening particularly in the retail sector, where through customer profiling, the surveillance cameras help to keep the public shoppers safe with image recognition capability that detects and identifies repeat offenders who cause a disturbance. Intel is also leading the way in making surveillance systems smarter and faster upon analyzing data sets and generating a response.
Another way AIoT is being used today is through autonomous vehicles. Tesla is a prime example. It use radars, GPS and cameras to make real-time decisions based on current driving conditions. The data is gathered through interconnected IoT systems and learned accordingly before outputting a data-driven action. For example, suppose you’re driving in rainy conditions, the AIoT combination will sense this and apply the windshield wipers and set the vehicle in a condition that can allow for smooth driving during those conditions.
AI and IoT also interact with smart office buildings. Companies install sensor technologies that help to manage energy and lighting. Buildings also pick up on the physical movement of people, something essential for security management. Smart buildings can also control access of people through facial recognition. This is done through a comparison of real-time data and images to grant access to an office building. Terminus Group, based in Beijing, are advocates for “smarter” buildings.
Security Access Devices
Access Control Technologies (ACT) as a company are integrating AI and IoT through fob technologies for access areas, by using data to determine access patterns for every employee, understanding where they sit in the office and predict better office layouts for easier entry and exit.
IoT is getting smarter with the integration of AI and it is only a short amount of time until companies integrate them to identify and make smart insights through data. The ultimate goal is to allow machines and systems to make accurate decisions without the need for any human input. Today, a combination of these technologies is becoming more and more discussed in all industry sectors as we look for ways to create a better “new normal” in light of the current pandemic crisis. AI and IoT are slowly but surely building up to this eventuality.