On line monitoring method of forklift truck working condition based on multi sensor

Zhang, Zhiqiang; Tian, Jinjin; Zhan, Ping

doi:10.1088/1742-6596/1635/1/012041

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The results from simulation algorithm using shovel image in MATLAB indicate that the algorithm maintains high accuracy in regards of recognition and provides an impressive solution for forklift shovel detection. In [13], the authors Focus at the problems of insufficient timeliness and lacking monitoring accuracy of forklift working condition observation, a multiple sensor monitoring online method for forklift is proposed In this paper, the structure of forklift monitoring platform is developed and main control algorithm of forklift working condition data monitoring is prepared. The forklift monitoring is acquired by multi-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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Section: Changes In Forklift and Pallet Recognition Systemsmentioning

confidence: 99%

Pallet Recognition for Forklift: A Literature Review

Pawar¹,

Sande²,

Kondalkar³

et al. 2023

IJRASET

View full text Add to dashboard Cite

show abstract

“…[3] proposed a pallet recognition system that utilized a combination of RFID and depth sensors to achieve a high accuracy of 98% in identifying pallets. [4] developed a pallet recognition system using LIDAR sensors, which was able to accurately identify pallets in real-time. The system achieved a high accuracy rate of 95%.…”

Section: Introductionmentioning

confidence: 99%

Pallet Recognition for Forklift

Pawar¹,

Sande²,

Kondalkar³

et al. 2023

IJRASET

View full text Add to dashboard Cite

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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On line monitoring method of forklift truck working condition based on multi sensor

Cited by 2 publications

References 3 publications

Pallet Recognition for Forklift: A Literature Review

Pallet Recognition for Forklift: A Literature Review

Pallet Recognition for Forklift

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