Overview
t has several key features that define its functionality and applications. Here are the primary features:
- Connectivity
- IoT devices connect to networks (Wi-Fi, Bluetooth, cellular, etc.) for data exchange between devices and central systems.
- Sensing
- Sensors embedded in IoT devices collect data from the environment, such as temperature, humidity, motion, or light, enabling informed decision-making.
- Automation
- IoT enables automation by allowing devices to perform actions or send alerts without human intervention, improving efficiency.
- Data Analytics
- IoT systems analyze large volumes of data collected from devices to extract insights and enable predictive actions.
- Scalability
- It supports a vast number of connected devices, making it adaptable for small and large-scale applications.
- Interactivity
- Users can interact with IoT devices via mobile apps, web interfaces, or voice commands for control and monitoring.
- Artificial Intelligence Integration
- IoT often integrates AI for smarter decision-making, enabling adaptive and predictive functionalities.
- Energy Efficiency
- IoT devices are designed for optimized power consumption, often using low-power hardware and energy-saving protocols.
- Real-Time Operation
- IoT provides real-time monitoring and updates, enabling immediate responses to changes or issues.
- Security and Privacy
- Secure communication protocols and encryption ensure data integrity and confidentiality in IoT systems.
Our Trainers
PRIYA SHARMA
Prof. Priya Sharma
Assistant Professor
EC Department
SIRT
Modules
Course will cover from introduction of IoT to it's various Applications like:
- Smart Homes
- Home automation systems control lighting, security cameras, thermostats, and appliances (e.g., smart speakers, smart locks).
- Examples: Amazon Alexa, Google Nest.
- Healthcare
- Wearable devices monitor health metrics like heart rate, blood pressure, and glucose levels.
- Remote patient monitoring and telemedicine enhance healthcare delivery.
- Examples: Fitbit, smart insulin pumps.
- Industrial IoT (IIoT)
- Sensors track machinery performance, predict maintenance needs, and optimize operations.
- Applications include manufacturing, supply chain management, and logistics.
- Smart Cities
- It supports traffic management, waste collection, energy-efficient streetlights, and air quality monitoring.
- Examples: Smart parking systems, pollution monitoring.
- Agriculture
- It enabled sensors monitor soil conditions, weather, and crop health for precision farming.
- Automated irrigation systems optimize water use.
- Transportation and Logistics
- It tracks vehicle location, monitors fleet performance, and enhances supply chain visibility.
- Examples: GPS tracking, autonomous vehicles.
Outcomes
The Course Outcome of this course is:
Learner will understand the revolution of internet in field of cloud, wireless network, embedded system and mobile devices.
Learner can apply IOT design concepts in various dimensions implementing software and hardware.
Learner will analyze various M2M and IOT architectures.
Learner can design and develop various applications in IOT.
Contact
Name: Priya Sharma
Mobile No: 8889387434
