Intelligent Shipping Using TinyML

International Research Journal of Modernization in Engineering Technology and Science · 2023

This work highlights the potential of Tiny Machine Learning (TinyML) in the global shipment industry, providing an innovative solution to track the status of packages and shipments in real-time.This work includes the IoT and AI technologies to provide real-time package tracking, allowing users to monitor the status of their shipments from anywhere at any time.The primary goal of this work is to offer an easy-to-use solution for customers to monitor their package status, including whether they are moving, stationary, impacted, thrown, picked up, or placed in the wrong position.The use of TinyML enables the use of low-power MCUs, reducing the overall power consumption of the tracking devices, while IoT and AI offer several benefits, such as improved speed and efficiency of package tracking, reduced network latency, and increased security.Overall, this work demonstrates how the integration of AI, machine learning, and IoT can provide an innovative solution to package tracking, improving the efficiency and accuracy of the shipment industry.

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