AI embedded IoT
- 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.