<![CDATA[The rapid growth of e-commerce has led to an increasing volume of shipments, requiring more efficient logistics systems. Package sorting still largely relies on conveyor systems, which have limitations in terms of space, cost, and energy consumption. Therefore, this project develops CAGO (Carry & Go), an Automated Guided Vehicle (AGV) based on image processing, as a more flexible and energy-efficient alternative for package sorting. The methods used in this project include image processing with a camera to detect package colors, 5-channel line tracking sensor module for line following navigation, and ESP32 as the main control unit. The AGV is designed to automatically transport and sort packages based on color, which represents the delivery destination. With this approach, the AGV is expected to be an efficient solution for package sorting, especially for logistics companies with limited space and resources. Its flexibility, lower power consumption, and independence from large infrastructures like conveyor systems make it a more adaptable alternative for various logistics businesses.]]>
Copyrights © 2025
