1. Sensors
1.1. Input Devices
1.2. Light
1.2.1. LED
1.2.2. LDR
1.3. Temperature
1.3.1. Thermostat
1.3.2. Thermistor
1.4. Motion
1.5. Moisture
1.6. Pulse Rate
2. Output Devices
2.1. Camera
2.2. Buzzer
2.3. Bell
2.4. Alarm
2.5. Flashing Light
2.6. Shutter or Gate Motor
3. IoT Gateways
3.1. Connects Sensors and IoT Devices to Cloud
3.2. Data Processing
3.3. Data Security
3.4. Raspberry Pi
3.5. Zigbee Gateway
4. Architecture
4.1. Sensors
4.2. Input Devices
4.3. Output Devices
4.4. IoT Gateways
4.4.1. Raspberry pi
4.5. Cloud
5. Cloud
5.1. Data Storage
5.1.1. Historical Data
5.1.1.1. Data Trends
5.2. Data Processing
5.2.1. Decision Making
5.3. Data Analysis
5.3.1. Business Reports
5.4. Special Functions
5.4.1. Business Intelligence
5.4.1.1. s
6. Curtains Partially Open
7. Home Automation
7.1. Light
7.1.1. Switching
7.1.2. Mood Lighting
7.1.2.1. Restaraunts
7.1.2.1.1. Hospitals
7.1.3. Colour and Intensity
7.1.3.1. Bright
7.1.3.1.1. Dim
7.1.4. Motion Sensing
7.1.4.1. Passage
7.1.4.1.1. Parking Lots
7.2. Security
7.2.1. Door Control
7.2.1.1. Access Control
7.2.1.2. Biometric Control
7.2.1.3. Face Recognition
7.2.2. CCTV
7.2.2.1. Network Cameras Control and Monitoring
7.2.2.1.1. Recording and Storing
7.2.3. Parking Lot Control
7.2.3.1. Access Control
7.2.3.1.1. Vehicle Data Storage
7.2.4. Door Video Camera
7.2.4.1. Visitor Identity
7.3. Temperature
7.3.1. HVAC
7.3.1.1. Humidity
7.4. Curtains Control
7.4.1. Curtains Open
7.4.2. Curtains Closed
8. Factory Automation
8.1. Process Control
8.1.1. CNC Machines Controls
8.1.2. Machine Status
8.1.3. Time to Maintain
8.1.4. Work Schedules
8.1.5. Process Rejection
8.2. Quality Control
8.2.1. Quality Parameters Check
8.2.1.1. Dimensions
8.2.1.2. Colour Shade
8.2.1.3. Numbers
8.2.1.4. Lable Information
8.2.1.5. Customer Complaint Data
8.3. Logistics
8.3.1. Packaging
8.3.2. Raw Material
8.3.3. Co-ordination with Work Orders
8.3.4. Transport Planning
8.4. Sales and Marketing
8.4.1. Customers Data Base
8.4.1.1. KEY Customers
8.4.1.2. Revenue from Key Customers
8.4.2. Work Order History and Trends
8.4.2.1. Work Orders Completed
8.4.2.2. Work Orders Pending
8.4.3. Schdules to Manufacturing
8.4.3.1. Priority Orders
8.4.4. Order Backlog
9. Health Sector
9.1. Patient Monitoring
9.1.1. BP
9.1.2. Sugar Level
9.1.3. Heart Rate
9.1.4. SPO2
9.2. On line Data Management
9.2.1. Patient Appointment Schedules
9.2.1.1. Medicine Timiings Patientwise
9.2.2. Admmissions to Hospitals
9.2.3. Doctors Visting Schedule
9.3. Medicine Management
9.3.1. Stocks of Medicines
9.4. Robotics Surgeries
9.4.1. Critical Surgeries
9.4.2. Power Back Up Management for Robos
10. Agriculture
10.1. Hydroponics
10.1.1. Moisture
10.1.1.1. Humidity
10.1.1.1.1. Temperature
10.2. Weather Forecasting
10.2.1. Rains Prediction
10.2.1.1. Hot Cold Weather
10.2.1.1.1. Day and Night Tempeartures
10.3. Food Grain Storage
10.3.1. Available Godowns
10.3.1.1. Capacity
10.3.1.1.1. Nearest Market
11. Critical Medicines Inventory Control
12. Cyber Security
12.1. Safe Browsing
12.1.1. https :// sites only
12.1.2. Safe Mode ON
12.1.3. Padlock symbol
12.2. Ethical Hacking
12.2.1. Benefits of Country
12.2.2. Public Interest
12.3. Malwares
12.3.1. Viruses
12.3.1.1. Tracking Softwares
12.4. Trojans
12.4.1. Undesired Programs
12.4.1.1. System Hacking
12.4.1.2. Ransomeware
12.5. PWD and OTP Control
12.5.1. Multipoint Authentication
13. E Commerce
13.1. On line Shopping
13.1.1. Customer Habit Tracking
13.1.1.1. Tracking the orders
13.2. On Line Food Ordering
13.2.1. Customer Choice Tracking