Pallet Recognition for Forklift

Abstract

Abstract: Pallet recognition is an important task in warehouse operations that involves identifying and classifying pallets based on their size, shape, and colour. The efficient and accurate recognition of pallets is crucial for ensuring the smooth and safe movement of goods within a warehouse. In recent years, advancements in computer vision technology have paved the way for the development of automated pallet recognition systems that can be integrated with forklifts. This paper introduces a system for pallet recognition on forklifts using Raspberry Pi and ultrasonic sensors. The proposed system utilizes ultrasonic sensors to measure the distance between the forklift and the pallet, providing valuable information for the pallet recognition system. The system is designed to accurately identify and classify pallets based on their size. The use of ultrasonic sensors provides a costeffective and easily scalable solution, allowing the system to be used in a variety of warehouse environments. The accuracy of the proposed system is evaluated through testing on a variety of pallet types, and the results indicate a high level of accuracy in identifying and classifying pallets. The system is also designed to be user- friendly and can be easily integrated into existing forklifts.