Internet Of Things(IOT)
Internet of Things (IoT) refers to a network of physical devices—such as sensors, appliances, vehicles, and other everyday objects—that are embedded with software, sensors, and connectivity to collect, exchange, and act on data over the internet without human intervention. IoT allows smart devices to communicate and make decisions, enabling automation in homes, industries, healthcare, transportation, and more. IoT connects everyday items—like thermostats, refrigerators, watches, and cars—to the internet so they can send and receive data for smarter functioning.
Sensors
- A sensor is a device that detects and responds to physical stimuli such as heat, light, motion, or pressure.
- It converts these stimuli into electrical signals for measurement, monitoring, or control purposes.
- Sensors are integral components in various systems, including smart homes, industrial automation, and healthcare devices.
Connectivity:
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Devices connect using protocols like Wi-Fi, Bluetooth, Zigbee, or 5G.
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Ensures seamless data transmission to cloud or edge devices.
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Choice of network affects power usage, range, and speed.
- Reliable connectivity is crucial for real-time monitoring and control.
Actuators
- An actuator is a device that converts energy—such as electrical, hydraulic, or pneumatic—into mechanical motion.
- It enables systems to perform actions like moving, rotating, or controlling mechanisms.
- Actuators are essential in applications ranging from robotics and industrial automation to automotive systems.
Data Processing
- Once data is collected, it is processed either
- Locally (Edge Computing) – near the device.
- Centrally (Cloud Computing) – on remote servers.
- Helps in decision-making or triggering actions.
Cloud Computing
- Centralized storage and processing of IoT data across worldwide and can access data anywhere from the world.
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Enables access from anywhere and scalable analytics.
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Supports integration with AI and machine learning models.
- It offers scalability, flexibility, and cost-efficiency.
Analytics & AI
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Processes sensor data to extract patterns and predictions.
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Enables smart automation (e.g., turning off lights when no motion is detected).
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Machine learning models can improve over time with more data.
Edge Computing
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Data is processed closer to the source (device or gateway).
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Reduces cloud dependency and improves real-time decision-making.
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Useful in scenarios where low latency is critical (e.g., autonomous vehicles).
Actuation
- Devices act on decisions (e.g., a motor turns on a fan) like BLDC fans we access with the fan with remotes.
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Can be triggered automatically or manually via app or system.
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Common actuators include motors, relays, and alarms.
Security & Privacy
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IoT devices must use encryption and secure authentication.
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Devices are often vulnerable to cyberattacks if not updated.
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Ensuring data privacy is crucial, especially in healthcare and home use.
Interoperability
- Devices from different vendors should work together smoothly.
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Standard protocols (e.g., MQTT, CoAP) help enable compatibility.
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Lack of interoperability can lead to fragmented ecosystems.
- Helps build scalable, flexible IoT systems that adapt over time.
User Interface (UI)
- Dashboards or mobile apps let users monitor and control devices.
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Good UI design improves usability and system understanding and for user friendly.
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Real-time alerts and notifications are common UI features.
Common Applications
- Smart Homes: Lights, thermostats, locks.
- Healthcare: Remote patient monitoring.
- Industrial IoT (IIoT): Predictive maintenance, factory automation.
- Smart Cities: Traffic control, waste management, surveillance.
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