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An IoT-Based Analytics System for Mail Movement, integrating RFID, GPS, weather sensors, and MPU6050 to track and analyze mail delivery in real time, with data sent to a Firebase Realtime Database.

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OceanBhatnagar/RealTime-Parcel-Tracking-System

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IoT-Based Analytics System for Mail Movement

This repository contains the source code, documentation, and hardware design for an IoT-Based Analytics System for Mail Movement, developed for the Smart India Hackathon 2024 Hardware Edition Grand Finale under the Ministry of Posts, Government of India.

The system integrates IoT technologies to enhance mail delivery efficiency and transparency through real-time tracking, monitoring, and analytics. It features a robust IoT module for delivery vehicles, utilizing sensors like weather sensors, RFID, GPS, and MPU6050 to collect and transmit data to a Firebase Realtime Database. The system enables comprehensive analysis of delivery patterns, environmental conditions, and vehicle stability, providing postal authorities with actionable insights via a cloud-based interface.

Components Used

  • ESP32 Microcontroller: Handles processing and communication.
  • Weather Sensors: Monitors environmental factors like temperature and humidity.
  • RFID Module: Tracks and logs parcel data.
  • GPS Module: Provides real-time location updates.
  • Firebase Realtime Database: Stores and retrieves data for analytics.
  • MPU6050:Provides Realtime Speed and orientation of Delivery Vehicle.
  • Prototyping Tools: Breadboard, jumper wires, and other accessories.

Project Structure

  • Source Code: C++ code for RFID Interfacing and Sensors Interfacing
  • Project Photographs: Images showing the setup and working of the system.
  • Schematics:Detailed schematics of the circuit.

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An IoT-Based Analytics System for Mail Movement, integrating RFID, GPS, weather sensors, and MPU6050 to track and analyze mail delivery in real time, with data sent to a Firebase Realtime Database.

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