Technology Blog

1. AI embedded IoT : Advantages of
integrating Artificial intelligence with the
Internet of Things
AI embedded IoT benefits like managing risk, products, services, prediction, products like robots
in factories, real analytics, facial recognition, monitoring transit at roads and patients in hospitals
What are AI and IoT?
Artificial Intelligence(AI) :
AI makes it possible for machines to learn from experience, adjust to new
inputs, and perform human-like tasks. AI lives everywhere now from
researches labs to your living room.
Internet of Things (IoT) :
It describes the network of physical objects “things” that are embedded with
sensors, software, and other technologies for the purpose of connecting
and exchanging data with other devices and systems over the internet.
These devices range from ordinary household objects to sophisticated
industrial tools.

2. IoT devices generate a vast amount of data that can be then used with AI
by building an accurate machine learning model using those data. Since
IoT platforms provide an interface to gather data from various devices, they
can easily be deployed into AI/ML systems.
Its ability to automatically identify patterns and detect anomalies in the data
that smart sensors and devices generate — information such as pressure,
temperature, humidity, air quality, vibration, and sound can be really helpful.

3. Advantages of AI-powered IoT:
➔ Predictive Maintenance:
Using analytics to predict equipment failure ahead of time to schedule
orderly maintenance can help mitigate the damaging economics of
unplanned downtime.
➔ Enabling improved products and services :
Natural Language Processing to speak with machines, AI-controlled
drones, and robots are some of the ways that AI will help improve the
existing products.
➔ Enhancing risk management :
Together with IoT and AI, several applications are helping organizations
understand and predict a variety of risks as well as automate rapid
response
➔ Intelligent offerings:
Because machines think differently from humans, they can uncover gaps
and opportunities in the market more quickly, helping you introduce new
products, services, channels, and business models with a level of speed
and quality that wasn’t possible before.
➔ Empowered employees:
AI can tackle mundane activities while employees spend time on more
fulfilling high-value tasks. By fundamentally changing the way work is done
and reinforcing the role of people to drive growth, AI is projected to boost
labor productivity.

4. Increasing Popularity of IoT and AI:
A recent Tech Trend survey by SADA System states that IoT and AI are the
popular technologies currently in use today. It also found that AI and IoT
are the top technologies companies are investing in most to increase
efficiency and provide a competitive advantage.
Both startups and large companies prefer AI technology for unleashing the
full potential of IoT. The leading vendors of IoT platforms like Oracle,
Microsoft, Amazon, and Salesforce have started consolidating AI
capabilities into their IoT applications.

5. AI & IoT functional view :
At its core, IoT is about sensors implanted into machines, which offer
streams of data through internet connectivity. All IoT related services follow
five basic steps called to create, communicate, aggregate, analyze, and
act. The value of the “Act” depends on the probability analysis. Hence, the
precise value of IoT is determined at its analysis step. This is where AI
technology portrays a crucial role.
While IoT provides data, the data delivered from the sensor can be
analyzed with AI, therefore businesses can make informed decisions. The
artificial intelligence IoT succeeds in achieving the following agile solutions:
● Manage, analyze and obtain meaningful insights from data
● Ensure fast and accurate analysis
● Balance requirements for a localized and centralized intelligence
● Balance personalization with confidentiality and data privacy
● Maintain security against cyber attack

6. Examples IOT embedded AI :
Robots in Smart Factories :
In smart factories, robots are embedded with sensors to allow for
human-robot collaboration in a safe workspace. The safety mechanisms
can be a combination of several technologies: the use of proximity sensors
to slow down the robot when humans come near; force limitations in order
to minimize risks to humans or the environment. Humans perform the tasks
requiring the highest level of dexterity, while robots do repetitive, heavy,
and dull tasks.
During the last decades, the industrial robot has clearly demonstrated its
capability to be the core component in industrial automation, due to the fact
that it provides an optimum of high working capacity and flexibility.

7. Retail Analytics :
IoT can come into play with the maintenance of transport, tracking, and
route optimization. Retailers are using GPS to track and route trucks in the
last couple of years. IoT allows us to monitor sales opportunities in
real-time and tracks missed in-store sales, taking supply and demand
planning to the next level. Use smart devices to gather location-based
information. Then integrate that data with previously known information to
form contextual, real-time insights that you can act on.

8. Facial recognition system :
Walmart uses face recognition technology in its stores to improve and
enhance its customer’s shopping experience. The images of the customers
are captured from the cameras installed in the stores and then fed to the
AI. It analyzes the facial expressions of the customers based on the data
and identifies their behavior, whether they are satisfied with the products
and services offered or frustrated. This helps the staff to deal in the right
way with the customers.
AI also matches the faces of the people entering the store with a database
of suspected shoplifters and criminals. And if a match is found, the
notification is sent to the security desk right away. This helps in minimizing
the theft from the Walmart stores.
The companies built the IoT tags as well for products to help them in stock
management, better shelf placements, and check for expiry dates as well.

9. AI-driven technology for remote patient
monitoring:
Icon, a clinical research organization for drug development, has
collaborated with Intel to extend its remote monitoring capabilities. The Icon
would be using intel’s Pharma Analytics platform to get better insights
regarding drug development and its effect on patients. The cloud artificial
intelligence platforms also capture real-time clinical data offered by sensors
and other wearables, as well. It uses smartphone apps as well to collect
patient’s information. The data gathered by this platform is stored in the
cloud afterward and analyzed by artificial intelligence and machine
learning.
The AI, when coupled with the wearable technology together, helps the
Icon to measure the effectiveness of their therapies, therefore, making drug
development not only easy but also simple.

10. Better transit monitoring with AI-powered IoT:
Transit monitoring is crucial, as well as an essential part of logistics
management. The number of technologies like cloud-based GPS, GPRS,
GIS, helps to carry out the real-time tracking of the vehicle, this detects the
maintenance issues and delays with the trucks. This data is used to carry
out predictive maintenance and help ignore costly repairs. And apart from
this, video surveillance technology offers information about traffic and
congestion, which is used to plan routes smartly, hence, saving both time
and fuel.
With AI, logistics companies are carrying out condition monitoring for trucks
to monitor the components like temperature, fuel level, etc. The data which
is received from temperature and humidity sensors are installed in the
vehicles is fed to the AI, which can detect disasters and provides you with
real-time alerts.
A large amount of driver data like speed, braking, over speeding, seatbelt
usage, and reckless turns are collected on a daily basis with the help of the
smart sensors. With the help of machine learning, this data is used to
analyze the driving patterns of the individuals, offer proper training, and
minimizes accidents.

11. To sum up, AI and IoT empower intelligence and connectivity and
embedded both make them functional in a wide variety of applications and
environments. They are benefiting businesses and industries by offering an
opportunity to increase analytics, automation, and data processing.