Applications of Artificial Intelligence in Internet of Things

Artificial Intelligence in Internet of Things

In the tech world, we can say that Artificial Intelligence and Internet of Things is a perfect match. Both have fallen into the general pit of buzzword-vagueness. Each technology has its own singular worth, but their actual potential is acknowledged when they are combined together.

There is a wide range of uses over numerous enterprises that require Artificial Intelligence and Internet of Things. Some of them are listed below:

1. Collaborative Robots

These robots are nothing but a robot that is intended to work alongside and/or indirectly interact with humans in a shared space. If you need any assistance from a robot, Collaborative Robots or Cobots is your best choice. Cobots are a highly complex machine that is developed to help people in a workspace with situations ranging from office to industrial. In some cases, they can be a robot arm intended to perform certain tasks or it can even be a complex robot designed to execute complex tasks.

2. Drones

While the drones were originally invented mostly in military applications, their use is rapidly expanding to commercial, scientific, recreational, agriculture and other applications such as policing and surveillance, product deliveries, aerial photography, smuggling, and drone racing.

Drones are just aircraft without a human pilot (Of course, the piloting is taken care of by the software installed). They are surprisingly invaluable as they can navigate unknown surroundings that are beyond the reach of the internet and can reach dangerous areas for people namely, offshore operations, mines, war zones or buildings that are burning.

3. Smart Cities

How smart is your smartphone? While your smartphones are getting smarter every day with technology, why not make your entire city smart too? Smart cities are made with a system of sensors that are appended to the physical infrastructure of the city. These sensors can be utilized to monitor the city for different civic factors. For example, it is used to monitor energy efficiency, air pollution, water use, noise pollution and traffic conditions.

4. Digital Twins

Digital Twins are virtual replicas of physical devices. In simple words, these are twin protests in which one is a real-world object and the other is its digital replica. These objects can be extended from airplane engines to wind turbines. Data scientists and IT pros use digital twins to analyze the performance of the objects before actual devices are built and deployed. Without using traditional techniques, this technology can lessen the costs required for testing.

5. Smart Retailing

Amidst all the increasing attention the phenomenon ‘Smart City’ is receiving, few have shown interest in Smart Retailing too. With the help of AI and IoT, retailers can understand customer behavior by examining the shopper’s online profile and in-store inventory and then send real-time personalized offers to the customers while they are in the store.

Real-World Examples

While Artificial Intelligence in Internet of Things is a relatively new concept, it has already been successfully applied in many real-world applications.

Tesla Motors – Self Driving Cars:

Self-driving cars sound like futuristic science-fiction yet they are very much a part of today’s reality. Tesla Motors’ self-driving cars utilize the most recent advancements in Artificial Intelligence and the Internet of Things. While these vehicles are still in the testing stage with multiple legal and ethical concerns as baggage, they are still one of the easier innovations of IoT.

A unique feature of the Tesla self-driving cars is all of them act like a connected network. Whenever point one cars adopt some new data that is given to other cars. Furthermore, that is used to predict the behavior of cars and pedestrians on the road in various circumstances.

WildTrack – Endangered Species Preservation: 

There are numerous animals that are endangered or going extinct in various countries. Also, the conventional techniques for following these animals with collars are stressful and dangerous (Both to the creatures and scientists). So WildTrack’s impression ID method (FIT) utilizes IoT and AI algorithms to identify the species, individual, age and gender of an animal of a creature from its unique footprint. Then this data can be used to recognize patterns relating to animal movements, species population, etc. that help in preserving various endangered species.

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