RFID (Radio Frequency Identification) and IoT (Internet of Things) integration enable powerful automation for inventory management, asset tracking, and operational efficiency. Here are some common applications of RFID IoT automation:

1. Inventory Management

• Automatic Inventory Updates: RFID tags on products enable real-time tracking and automatic updates as items are moved or scanned.
• Smart Shelving: Shelves equipped with RFID sensors can monitor stock levels and send alerts when inventory is low.
• Warehouse Operations: MonolithIoT systems, for example, integrate RFID with IoT to track inventory across locations, reducing human error.

2. Asset Tracking

• RFID Lockers & Cabinets: Smart cabinets (like your RFID-enabled medical consumables cabinets) track when items are removed or returned, ensuring accountability and stock transparency.
• Equipment Monitoring: RFID-enabled tags track expensive tools or machinery, ensuring they're located and maintained.

3. Access Control

• Office Lockers: Custom office lockers use RFID cards or tags for secure access, eliminating the need for physical keys.
• Restricted Areas: RFID-based systems automatically grant or deny access based on permissions.

4. Vending Machines

• Automated Dispensing: RFID IoT-powered vending machines track items dispensed and inventory in real-time, allowing for remote restocking and usage analytics.
• Contactless Payments: Users can pay via RFID-based cards or mobile apps integrated into the system.

5. Medical & Healthcare

• RFID Medical Cabinets: Automatically track high-value consumables like surgical instruments or medications. IoT alerts notify staff when supplies are running low.
• Patient Identification: RFID wristbands integrate with IoT to manage patient information securely and efficiently.

6. Industrial Automation

• Heavy-duty RFID Shelves: Monitor high-volume goods in manufacturing or industrial settings. IoT sensors can predict maintenance needs or optimize storage.
• Supply Chain Transparency: RFID-enabled items provide real-time data throughout shipping and logistics, enhancing tracking and reducing losses