Nowadays, technology continues to develop, which plays an essential role as a thing that helps human activities to carry out their work. By utilizing movements and designs as needed, robots can easily help human works. In the industrial world, we often find the process of sorting goods done by human power. However, this kind of process still has lots of shortcomings. The human focus level is only able to last for 4 hours without rest and glucose intake. This study aims to design an object identification system based on raspberry pi-based colours. The system will use the webcam as a sensor processed on the raspberry pi to detect objects based on the object’s colour. Process data on raspberry pi using OpenCV library whose algorithm is in the python language program.
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21 July 2023
TOWARD ADAPTIVE RESEARCH AND TECHNOLOGY DEVELOPMENT FOR FUTURE LIFE
25–26 October 2021
Palembang, Indonesia
Research Article|
July 21 2023
Development of color identification system using Raspberry Pi 3 B+ Available to Purchase
Irsyadi Yani;
Irsyadi Yani
a)
1
Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662a)Corresponding author: [email protected]
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Mohammad Osiur Rahman;
Mohammad Osiur Rahman
2
Department of Computer Science and Engineering, University of Chittagong
, Chittagong 4331, Bangladesh
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Firmansyah Burlian;
Firmansyah Burlian
1
Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662
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Ansyori;
Ansyori
3
Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662
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Malikusshwari Ismail;
Malikusshwari Ismail
1
Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662
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Cindy Hartita
Cindy Hartita
1
Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662
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Irsyadi Yani
1,a)
Mohammad Osiur Rahman
2
Firmansyah Burlian
1
Ansyori
3
Malikusshwari Ismail
1
Cindy Hartita
1
1
Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662
2
Department of Computer Science and Engineering, University of Chittagong
, Chittagong 4331, Bangladesh
3
Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya
, Indralaya, South Sumatra – Indonesia
30662
a)Corresponding author: [email protected]
AIP Conf. Proc. 2689, 070004 (2023)
Citation
Irsyadi Yani, Mohammad Osiur Rahman, Firmansyah Burlian, Ansyori, Malikusshwari Ismail, Cindy Hartita; Development of color identification system using Raspberry Pi 3 B+. AIP Conf. Proc. 21 July 2023; 2689 (1): 070004. https://doi.org/10.1063/5.0114173
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