Unmanned Vehicle Using Received Signal Strength Indicator (RSSI) in Instant Beverage Industry

Arfianto, Afif Zuhri; Susanto, Rian Dwi; Rahmat, Mamat; Soeroso, Hariyanto; Nofandi, Faris; Ardhana, Valian Yoga Pudya; Santosa, Ari Wibawa Budi; Ardiansyah, Ardiansyah

doi:10.1109/icamimia47173.2019.9223401

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After it reaches the next pattern the forklift mechanism will do its job. In [25], Authors have proposed a system which will minimize accidents in the beverage industry. Generally, alert for moving forklift is just the horn, so the operators must be cautious while passing in the aisles.…”

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

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.

show abstract

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

“…The system achieved an accuracy rate of 92.7%. [7] proposed a pallet recognition system using ultrasonic sensors and a convolutional neural network (CNN). The system achieved a high accuracy of 97.5% in identifying pallets.…”

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.

show abstract

Unmanned Vehicle Using Received Signal Strength Indicator (RSSI) in Instant Beverage Industry

Cited by 2 publications

References 8 publications

Pallet Recognition for Forklift: A Literature Review

Pallet Recognition for Forklift: A Literature Review

Pallet Recognition for Forklift

Contact Info

Product

Resources

About