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Transportation: IoT is used in fleet management systems to track vehicles and optimise logistics. Smart
traffic management systems are also being deployed in urban areas to reduce congestion and improve
safety.
INDUSTRIAL CONSUMER
Internet of Things Internet of Things
Heavy
Machinery Wearables
Transportation Smart Shoes
Smart Cities TVs
Network Connectivity
Powered by Software
Automation Appliances
Factories Home Monitoring
Healthcare Home Automation
Consumer IoT (Internet of Things)
Consumer IoT refers to smart devices that are used by individuals in their daily lives. These devices are
connected to the internet and can collect, share, and act on data without needing human instructions all the
time. Examples of consumer IoT include smartwatches, fitness bands, smart TVs, smart refrigerators, voice
assistants (like Alexa or Google Assistant), smart lights, and home security systems.
These devices make life easier by automating tasks, improving comfort, saving energy, and increasing safety.
For example, a smart thermostat can learn your daily routine and adjust the room temperature automatically.
A fitness band can track your steps, heart rate, and sleep to help you stay healthy.
Difference between IoT and IIoT
Here’s the comparison between IoT and IIoT:
Aspect IoT (Internet of Things) IIoT (Industrial Internet of Things)
Purpose Connects everyday consumer devices Connects industrial machines and systems
Application Smart home devices, wearables, etc. Manufacturing, energy, transportation
Scale Small-scale devices for personal use Large-scale industrial systems and machines
Data Collects personal, non-critical data Collects real-time, critical industrial data
Reliability Important but less critical Extremely high reliability required
Examples Smart thermostats, fitness trackers Industrial machines, predictive maintenance systems
Case Study Indian Railways
Indian Railways is deploying IoT sensors to monitor train conditions and ensure safety, reducing accidents
and maintenance costs. IIoT-powered systems help in optimising fuel usage and managing train schedules,
enhancing the overall efficiency of the rail network. This large-scale implementation demonstrates how
IIoT can transform traditional systems into smarter, more reliable networks.
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