The Internet of Things (IoT) and Artificial Intelligence (AI) are both powerful technologies on their own. When AI and IoT are combined, the result is AIoT, or artificial intelligence of things. Artificial intelligence can be thought of as the brain of a system, while internet of things devices can be thought of as the digital nervous system.
What is AIoT?
To truly comprehend AIoT, you must first grasp the concept of IoT. The IoT is created when "things" such as wearable gadgets, refrigerators, digital assistants, sensors, and other equipment are connected to the internet, can be recognised by other devices, and can gather and analyse data.
When a system can execute a set of tasks or learn from data in a way that appears intelligent, it is called artificial intelligence. As a result, when artificial intelligence is introduced to the internet of things, those devices will be able to assess data, make judgments, and act on that data without the need for human intervention.
Interested in AI? Explore the Best AI driven Platforms
These are "smart" technologies that help to increase productivity and efficiency. AIoT intelligence enables data analytics, which may then be utilised to improve a system and yield superior performance and business insights, as well as create data that can help the system learn and make better decisions.
So, how do AI and IoT work together?
Both AI and the Internet of Things have their own set of advantages. Expect operational, interface, data management, and analytical gains when these technologies are coupled.
Let's start with a basic explanation of how the Internet of Things works. You are connected to the internet, which processes data through the equipment and devices you wear.
IoT systems are designed for control and signal triggers. For example, you may enter data into a health application, and the application will return meaningful data to assist you in maintaining your health. It keeps track of your heart rate, blood pressure, and temperature, and then prompts you to do things to keep them in check.
AI produces intelligent decisions by completing tasks using data-learning algorithms or a set of rules, or by processing data that the machine can learn from to provide accurate results.
When AI and IoT are combined to form AIoT, IoT devices can evaluate data from equipment or devices and make proactive, intelligent, and correct decisions without the need for human intervention.
These devices will eventually become smart, communicative, and powerful, capable of processing data and making judgments faster and more accurately than ever before. It's understandable that humans are more trusted, and making the transition to relying more on computer intelligence is difficult.
(Read more about How AI can be integrated in IoT)
In other words, AIoT has the potential to bridge this gap and make the move from trusting humans to trusting technology as painless as feasible.
Watch this: AIoT, the Artificial Intelligence of Things and a Better Customer Experience
Where is AIoT used?
AIoT is already having a worldwide impact on today's world. Here are some instances of AIoT in action:
When consumers walk through the door in a smart retail environment, a camera system with computer vision capabilities can employ face recognition to identify them.
The system collects information about customers, such as their gender, product preferences, traffic flow, and other factors, analyses the data to accurately forecast consumer behaviour, and then uses that data to make decisions regarding shop operations, such as marketing and product placement.
If the system identifies that the majority of consumers entering the business are Millennials, for example, it might send out product adverts or in-store specials that appeal to that demographic, resulting in increased sales. Smart cameras might recognise customers and allow them to bypass the checkout line, similar to how Amazon Go works.
Drone Traffic Observation
There are various practical uses of AIoT in a smart city, including traffic monitoring by drones. Congestion can be lessened if traffic can be monitored in real time and adjustments to the traffic flow made.
When drones are used to monitor a vast region, they can provide traffic data to AI, which can then analyse the data and make judgments about how to effectively relieve traffic congestion by adjusting speed limits and traffic signal timing without the need for human intervention.
The ET City Brain, an Alibaba Cloud offering, uses AIoT to maximise the usage of urban resources. This technology can identify accidents and unlawful parking, as well as adjust traffic lights to assist ambulances in getting to people who require assistance more quickly.
(Check out - IoT in Traffic Management)
Smart office buildings are another area where artificial intelligence and the internet of things collide. In their office building, some organisations prefer to install a network of smart environmental sensors.
These sensors can detect the presence of people and alter the temperature and lighting accordingly, saving electricity. In another scenario, a smart building can utilise facial recognition technology to regulate admission to the building.
AIoT at work is a combination of linked cameras and artificial intelligence that can compare real-time photos against a database to determine who should be permitted entry to a building. Employees would also no longer need to clock in or complete attendance for mandatory meetings because the AIoT system will take care of it.
Autonomous vehicles and fleet management
AIoT is now being utilised in fleet management to help monitor vehicles, cut fuel costs, track vehicle maintenance, and flag risky driver conduct. Companies can better manage their fleets owing to AIoT, which uses IoT devices such as GPS and other sensors, as well as an artificial intelligence system.
Another application of AIoT today is in autonomous vehicles, such as Tesla's autopilot systems, which collect data about driving conditions using radars, sonars, GPS, and cameras, and then utilise an AI system to make judgments based on the data collected by internet of things devices.
( Must Read: IoT in fleet management )
Autonomous delivery robots
Autonomous delivery robots are another example of AIoT in operation, similar to how AIoT is employed with autonomous automobiles. Robots have sensors that collect data about the environment they are navigating and then use their onboard AI platform to make moment-to-moment judgments about how to respond.
Through fob technologies for access zones, Access Control Technologies (ACT) is merging AI and IoT by leveraging data to detect access habits for each employee, understand where they sit in the workplace, and forecast improved office design for quicker entry and leave.
Watch this: How will Artificial Intelligence and the Internet of Things change the world?
With AI integration, IoT is becoming smarter, and it will only be a matter of time before enterprises use it to detect and produce smart data insights. The ultimate goal is for machines and systems to make accurate judgments without human intervention.
In light of the present pandemic problem, a mix of these technologies is increasingly being addressed in various industry sectors as we look for methods to establish a better "new normal." AI and IoT are gradually but steadily preparing for this scenario.