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Cloud Integrated Smart Cargo System Using IoT

Client Overview

  • The client is the supplier of environmentally sensitive products as a logistic service provider.

Business Challenge

  • By using different algorithms and techniques the cargo tracking management can be managed effectively.
  • Design the system that would deliver a low-cost and low-power system.
  • The size of the prototype should be compact.
  • The continuous reading of parameters like temperature and humidity should be available with high accuracy.

Solution Architecture

System-architeture

AumRaj Contribution

  • Select the most compatible Arduino microcontroller which is ATmega328P based.
  • Make use of sensors like temperature, humidity, and RFID.
  • Used GPS module to get the precise location with temperature and humidity reading.
  • Selection of cloud platform to store data and to retrieve data using MQTT protocols.
  • Build algorithms that can show real-time data of storage location, inventory, and delivery status.
  • Calculate require data storage space for the back-up of information and choosing the right cloud service provider.

Benefits Delivered

  • The real-time image on the admin or user app.
  • Live notification of environment parameter changes.
  • Save time due to in hand real-time data.
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