Design and Implementation of Smart Forklift for Automatic Guided Vehicle Using Raspberry Pi 4

Setiawan, Florentinus Budi; Siva, Phoa Marcellino; Pratomo, Leonardus Heru; Riyadi, Slamet

doi:10.18196/26130

Cited by 7 publications

(9 citation statements)

References 17 publications

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“…The mobility of smart AGVs is possible with the support of CGPS and RFID technology. CGPS technology enables the management of MH equipment in warehouses (this technology provides data on the position of MH equipment in real-time) [93,94]. Moreover, RFID tags are used to indicate the appropriate location where the next warehouse assignment should be accepted.…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

Smart Material Handling Solutions for City Logistics Systems

et al. 2023

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Globalization, the growth of the world population, urbanization and the growth of the volume of the flow of goods have generated numerous problems in city logistics (CL). The opportunity to solve them is found in various fields by defining and implementing initiatives, concepts, measures, modern technologies and scenarios. The efficiency of the solution largely depends on the efficiency of logistics centers, which is one of the key subsystems of CL. The requirements for the reliable delivery of goods to customers in urban areas are conditioned by the efficiency their order fulfillment in logistics centers. Therefore, optimizing material handling (MH) time and costs aimed at reducing delivery errors, minimizing damage to goods and increasing customer service efficiency is directly conditioned by the automation of MH in logistics centers. Accordingly, this paper aims to rank and select smart MH solutions in logistics centers where deliveries are prepared for the supply of the city area. This paper proposes four smart solutions for a real company, and fourteen criteria are selected for the evaluation. A new hybrid Multi-Criteria Decision-Making model that combines the Fuzzy Analytic Hierarchy Process method, used to determine the criteria weights, and the Fuzzy COmprehensive distance-Based RAnking (FCOBRA) method, used to rank the alternatives, is proposed. The application of the model shows that the best alternative is the implementation of an autonomous forklift, which can greatly automate logistics activities and reduce the rate of delivery errors. The main contributions of this research are the definition of smart solutions, a framework for their evaluation and a new model for their ranking.

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Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

Smart Material Handling Solutions for City Logistics Systems

et al. 2023

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“…In [24], Authors have proposed a smart forklift mechanism for Automatic Guided Vehicle pallet forklifts which utilizes a stepper motor and ultrasonic distance sensor. This smart forklift mechanism is equipped with raspberry pi model B as the main microcontroller and is combined with an ultrasonic distance sensor.…”

Section: Changes In Forklift and Pallet Recognition Systemsmentioning

confidence: 99%

Pallet Recognition for Forklift: A Literature Review

Pawar¹,

Sande²,

Kondalkar³

et al. 2023

IJRASET

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Forklift trucks are essential tools for manual pallet handling. Storage heights at high rack storage areas often reach up to 12 meters in which bulky Cargo can hide the view of forklift operator. Pallet recognition is afundamental issue for Industries & warehouses, Particularly, a pallet recognition approach is presented to recognize pallets in the warehouses, based on calculating the degree of similarity at each location of the palette. Once a pallet has been recognized, it is matched that data with stored data. Transporting and handling pallets in a storage area is the essential function of a forklift truck. The view of the forklift truck driver is limited during his work by the lift pole, the fork, and the roof of the forklift truck. If a pallet is loaded the view is additionally hindered by its load. When the storage rack is not at a ground level or near to it the pallet handling becomes more difficult because of the distance between the forklift truck driver and the storage rack. To support the forklift truck driver during his work, there is need to advance theforklifts with different technologies and systems which provide diversity in Working and safety, security for forklift operator and other workers. This paper shows various results from research on different pallet recognition and forklift operation systems.

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“…The system achieved a high accuracy of 96% in identifying pallets. [6] developed a pallet recognition system that utilized ultrasonic sensors and a support vector machine (SVM) to accurately classify pallets based on their size and shape. The system achieved an accuracy rate of 92.7%.…”

Section: Introductionmentioning

confidence: 99%

Pallet Recognition for Forklift

Pawar¹,

Sande²,

Kondalkar³

et al. 2023

IJRASET

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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.

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Design and Implementation of Smart Forklift for Automatic Guided Vehicle Using Raspberry Pi 4

Cited by 7 publications

References 17 publications

Smart Material Handling Solutions for City Logistics Systems

Smart Material Handling Solutions for City Logistics Systems

Pallet Recognition for Forklift: A Literature Review

Pallet Recognition for Forklift

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