In modern industrial warehouses, the efficiency of material handling plays a crucial role in optimizing operational productivity. This paper presents a smart transportation system for industrial warehouses, designed to autonomously navigate and transport goods along predefined paths based on Radio Frequency Identification (RFID) input. The system is implemented using a mobile robot equipped with two RFID tags, which dictate distinct paths upon scanning, enabling the robot to adapt to varying transportation needs. An Infrared (IR) sensor enables line-following capabilities, ensuring that the robot adheres to specified pathways. Additionally, an ultrasonic sensor detects obstacles within the robot's path, triggering an integrated forklift mechanism for object handling when an object is detected. Two motor drivers control the system: one for the robot’s four-wheel movement and another for the forklift's vertical motion. A Liquid Crystal Display (LCD) screen provides real-time feedback on operational status, including navigation path, object detection, and handling actions. This autonomous system enhances efficiency in warehouse operations by reducing manual labor, improving speed, and minimizing errors in material transportation.
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Software Requirements:
• Python
• Thonny IDE
Hardware Components:
• Raspberry Pi
• Ultrasonic Sensor
• Battery
• Motor Driver
• Robot
• IR Sensor
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1. Synopsis
2. Rough Report
3. Software code
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Hardware Kit Delivery:
1. Hardware kit will deliver 4-10 working days (based on state and city)
2. Packing and shipping changes applicable (based on kit size, state ,city)
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