![[PPT] _ Unit 2 _ Complete PPT.pptx](https://cdn.slidesharecdn.com/ss_thumbnails/pptunit2completeppt-220516115836-332a1107-thumbnail.jpg?width=560&fit=bounds)
IoT definition and the presentation for engineers
- 2. What is IoT? Definition IoT, or the Internet of Things, refers to the network of physical devices, vehicles, appliances, and other objects embedded with sensors, software, and connectivity, enabling them to connect and exchange data over the internet. Significance IoT has significant implications for various industries and everyday life. It allows for increased automation, efficiency, and data-driven decision-making. IoT enables the interconnectivity of devices, leading to improved convenience, productivity, and resource management.
- 3. IoT in Daily Life Smart Homes ● Smart thermostats that adjust the temperature based on your preferences and habits. ● Voice-controlled virtual assistants that can control lights, appliances, and security systems. Wearable Devices ● Fitness trackers that monitor your heart rate, steps, and sleep patterns. ● Smartwatches that receive notifications, track workouts, and make contactless payments. Connected Cars ● GPS navigation systems that provide real-time traffic updates and suggest alternative routes. ● Vehicle-to-vehicle communication that alerts drivers of potential collisions or hazards.
- 4. IoT in Healthcare Remote Monitoring IoT devices can be used to remotely monitor patients, allowing for early detection of health issues and prevention of complications. Early Detection IoT devices can also be used to detect health issues before they become serious, allowing for early intervention and improved healthcare outcomes.
- 5. Step Description 1. Define Your IoT Project Start by identifying the problem you want to solve or the goal you want to achieve with IoT. This will help you determine the hardware and software requirements for your project. 2. Select IoT Hardware Choose the right IoT hardware based on your project requirements. Consider factors such as connectivity options, sensors, power consumption, and cost. Popular IoT hardware options include Arduino, Raspberry Pi, and ESP8266. 3. Choose an IoT Platform Select an IoT platform that will enable you to connect, manage, and analyze your IoT devices and data. Some popular IoT platforms include AWS IoT, Microsoft Azure IoT, and Google Cloud IoT Core. 4. Learn Programming Languages Familiarize yourself with programming languages commonly used in IoT development, such as C/C++, Python, and JavaScript. These languages will allow you to write code to control and interact with your IoT devices. 5. Develop and Test Your IoT Solution Start developing your IoT solution by writing code to collect sensor data, process it, and take actions based on the data. Test your solution thoroughly to ensure it functions as expected. 6. Deploy and Monitor Your IoT Solution Deploy your IoT solution in the real world and monitor its performance. Use the data collected by your IoT devices to gain insights and make improvements to your solution. Getting Started with IoT
- 6. Technical Overview of IoT Architecture The architecture of IoT consists of four main components: 1. Sensors and Devices: These are the physical objects or devices that collect data and interact with the environment. 2. Connectivity: This refers to the network infrastructure that allows the sensors and devices to communicate with each other and with the cloud. 3. Cloud Platform: The cloud platform is where the data from the sensors and devices is stored and processed. It provides the necessary computing resources for data analytics and other applications. 4. Applications: These are the software applications that enable users to interact with the IoT system and make use of the data collected. Data Processing Data processing in IoT involves several steps, including: 1. Data Collection: The sensors and devices collect data from the environment and send it to the cloud platform. 2. Data Storage: The data is stored in the cloud platform, either in a database or a data lake. 3. Data Analysis: Various data analysis techniques are applied to the collected data to extract insights and make predictions. 4. Decision Making: Based on the analysis results, decisions can be made to optimize processes, improve efficiency, or provide personalized services. By leveraging the architecture, communication protocols, and data processing capabilities of IoT, businesses and individuals can create innovative solutions and improve various aspects of daily life. Communication Protocols There are several communication protocols used in IoT, including: ● MQTT (Message Queuing Telemetry Transport) ● CoAP (Constrained Application Protocol) ● HTTP (Hypertext Transfer Protocol) These protocols enable the sensors and devices to send data to the cloud platform and receive commands or updates from the cloud.
- 7. Thank You Thank you for attending our presentation on IoT. We hope you found it informative and engaging. IoT is revolutionizing the way we live and work, connecting devices and systems to create a smarter, more efficient world. We appreciate your interest in this exciting technology and look forward to staying in touch.