The Internet of Things refers to anything or device that is connected to the Internet and can collect and process data to make the right decision. These devices can be as simple as air conditioners in people’s homes, and can also be as complicated as smart wearable devices and self-driving cars.
The importance of the Internet of Things is that it can help collect real-time data, and organizations or personnel can make more practical and intelligent decisions on this basis, because theoretical data, information and knowledge are never sufficient to make effective decisions. Therefore, the popularity of the Internet of Things is growing exponentially. This fact can be verified from a survey conducted by Business Insider, which predicts that by 2027, there will be more than 41 billion Internet of Things devices, while there are only 8 billion units in 2019.
Artificial intelligence (AI)
Artificial intelligence, also known as machine intelligence, refers to the process of simulating intelligence in a machine similar to human intelligence, so that the machine can think and act like humans.
The three key stages of artificial intelligence are:
In these stages, artificial intelligence algorithms will be used. These algorithms focus on helping the machine make intelligent decisions based on the use of real-time data, and then take action accordingly.
An example of artificial intelligence is driverless cars, which have the ability to make decisions like humans, such as whether to turn right or left, whether to stop, detect traffic, adjust speed, etc.
After understanding the power of the Internet of Things and artificial intelligence, people can now better understand the importance of the integration of artificial intelligence and the Internet of Things. When artificial intelligence is combined with the Internet of Things, people have achieved something called Artificial Intelligence Internet of Things (AIoT).
The key reason for combining artificial intelligence with the Internet of Things is that although the purpose of Internet of Things devices is to collect any data and information and transmit it to the usual cloud or any other space, in these spaces, artificial intelligence is Think of it as the brain of AIoT, which will actually make the final decision or simulate the action or response of the machine.
In order to have a better and deeper understanding, we can once again consider the example of smart air conditioners discussed above. The smart air conditioner is equipped with a sensor, and the sensor is actually responsible for detecting the outdoor temperature. However, sensors can only collect data and information. Just collecting data and information cannot achieve the purpose of smart devices. It is the artificial intelligence component combined with the IoT device that actually makes the intelligent decision. Therefore, the artificial intelligence components in the air conditioner will eventually help regulate the room temperature. A company called ASHARE is manufacturing one such AIoT air conditioner.
In order to better understand the management decision-making process of these devices, the following briefly describes the process followed by AIoT devices.
(1) Data collection
Data information is collected and sorted by sensors installed in IoT devices. These sensors are part of the actual device, and there can be many sensors connected to a device to facilitate the collection and sorting of various types of data information.
For example, a device can have many sensors, such as digital cameras, global positioning systems, accelerometers, etc., to facilitate the collection and sorting of various types of data information.
(2) Data transmission
Considering the huge amount of data, the collected data information is usually transferred to the cloud for data storage. Cloud storage is conducive to reducing data storage costs, so organizations do not need to spend huge amounts of money to install hardware to store large amounts of data information.
(3) Data processing
If it is not processed, the data information stored in the cloud will be useless. Processing data information includes various scenarios and applications such as extracting relevant data information from the cloud, cleaning the data and making it free of any abnormalities, converting it to a standard format, and applying algorithms to obtain results afterwards.
(4) Data prediction
Machine learning and deep learning algorithms are essential for predicting future events. After establishing the relevant model, it can be combined with the obtained results to make predictions.
After making a prediction, the final step is to let the machine take action in conjunction with the generated results.
The discussion process clearly described the relevance of combining the Internet of Things with artificial intelligence. The former is conducive to collecting and sorting data information from various resources, while the latter is conducive to the equipment to obtain meaningful results from the collected data and information, and to take correct actions.
Then, we can say that the value of the Internet of Things is determined by its analysis and application of action scenarios, and there is no meaning without artificial intelligence.
The benefits of integrating AI with IoT
(1) Improve customer experience
We can use a large number of AIoT devices to greatly improve the customer experience, so these devices can learn user preferences and adjust accordingly.
For example, the thermostat in a smart home can adjust the temperature by itself without any human intervention.
(2) Interconnected intelligence
As artificial intelligence is ready to be embedded in the Internet of Things, we will be able to experience more “connected intelligence”, then predictive analysis (what will happen?), prescriptive analysis (what should be done?) and adaptive analysis (what must be considered Appropriate action? How should the system adapt to the new changes?), all can be handled by a single device.
(3) Reduce the duration of unplanned downtime
In industrial installations, internal machine failures and shutdowns are a common occurrence. Unscheduled shutdowns like these will cost a lot of money, and operations may be stopped abruptly. However, this problem can be solved through AIoT, which is conducive to continuous monitoring of all equipment and identifying patterns that are ultimately conducive to timely prediction of machine internal failures.
Deloitte learned in a survey that, in manufacturing units, predictive maintenance of machinery and equipment can help increase equipment availability by 10-20% and reduce overall maintenance costs by 5-10%.
(4) New corporate products and services
Embedding AI artificial intelligence into the Internet of Things can directly help create new and powerful enterprise products and services. These enterprise products and services will have the ability to collect and analyze data, and can make intelligent, people-like decisions based on the situation.
For example, iRobotRoomba, developed by 3 members of the artificial laboratory of the Massachusetts Institute of Technology in the United States, applies the Internet of Things and AI artificial intelligence technology to efficiently clean the room. This smart robot vacuum cleaner has a set of embedded sensors that can help it detect objects on the road and all dirt on the ground. It can clean up by remembering the spatial layout of the house and applying the most cost-effective exercise method.
(5) Real-time monitoring and operation
IoT devices that support AI artificial intelligence are also conducive to the implementation of strict monitoring activities. An example of real-time monitoring is Google Maps, which helps us whenever we are choosing a route. They will monitor the real-time traffic conditions and provide us with all the information content, such as an estimated time of arrival and a suitable route.
(6) Enhanced risk management
A large number of applications that combine the Internet of Things and AI can also be used to help organizations predict and manage various risks and threats, such as employee safety, cyber threats, and financial losses.
Real cases of AI embedded IoT devices
(1) Self-driving cars
Self-driving cars are another application case of IoT devices embedded with AI artificial intelligence. Tesla’s self-driving car is the best example. With the help of installed sensors and AI artificial intelligence, the car can make decisions similar to people by determining the conditions of the surrounding environment. For example, they can make effective decisions by determining the best speed, weather, and road conditions.
(2) Smart home
The integration of the Internet of Things and artificial intelligence has also led to the emergence of the concept of smart home. When a smart home connects all devices through the Internet of Things, this device has the ability to make intelligent decisions with the help of artificial intelligence. Smart homes can make our lives easier by giving us the ability to control equipment remotely. For example, we can decide in advance when to turn on the TV, or call the fire department in the event of a fire. Even if we are not at home, we can turn the appliances on or off according to our needs.
(3) Face recognition
Face recognizer is another important use case of AIoT. Face recognition has become very important for criminal investigation units, and even companies that detect employee faces for attendance management in the office.
Another interesting area where facial recognition is used at this stage is in shopping malls and other public places to check whether people are wearing masks and to punish violators reasonably.