Real-Time Web-based Dashboard using Firebase for Automated Object Detection Applied on Conveyor

Fadhillah  Afira; Joni Welman Simatupang

doi:10.53623/gisa.v3i1.251

Conveyors are used by many factories in the industrial sector as tools to move some materials through various processes. Currently, it is necessary to have a device which is connected to a conveyor using a digital system. In this study, a conveyor is designed to use a webcam with a deep learning image classification system, Firebase real-time database, and a web-based dashboard. The webcam is used to capture and classify objects based on shape, color, and status, as well as counting objects that run on the conveyor. Firebase real-time database will receive and store data from the webcam system in real-time so that the data can be displayed on the dashboard. The dashboard used is a website-based design using two web development systems: front-end and back-end. Data displayed on the dashboard uses a real-time data table which is capable of displaying real-time data. Testing is conducted to analyze the performance of the full prototype. Testing methods used are One-by-one Object Test and Sequential Object Test, with total of 20 tests. One-by-one Object test is conducted five times, with a total of 168 data and a total time of 12 minutes and 15 seconds. Meanwhile, Sequential Object test is conducted 15 times, with a total of 546 data and a total time of 7 minutes and 19 seconds. Based on the observations of functional dashboard test, in fact all features and buttons on the dashboard are functioned well.

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References

Erinofiardi (2012). Analisa Kerja Belt Conveyor 5857-V Kapasitas 600 Ton/Jam. Jurnal Rekayasa Mesin, 3, 450-458.

Ferdoko, G. (2019). Implementation of Industry 4.0 in the belt conveyor transport. MATEC Web of Conferences, 263, 3-4. https://doi.org/10.1051/matecconf/201926301001.

Rospawan, A.; Simatupang, J.W.; Purnama, I. (2022). Development of Hot Air Dryer Conveyor for Automotive Tampo Printing Parts. Green Intelligent Systems and Applications, 2, 34-41. https://doi.org/10.53623/gisa.v2i1.69.

Ali, Z.H.; Ali, H.A.; Badawy, M.M. (2015). Internet of Things (IoT): Definitions, Challenges and. International Journal of Computer Applications, 128, 37-46. https://doi.org/10.5120/ijca2015906430.

Rospawan, A.; Simatupang, J.W.; Purnama, I. (2022). IOT Application for Conveyor Motor Load Current and Temperature Monitoring Device for Factory Acceptance Test in Industrial Application. Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 6, 152-162. http://doi.org/10.31961/eltikom.v6i2.553.

Fadhil, A.T.; Abbar, K.A.; Qusay, A.M. (2020). Computer Vision-Based System for Classification and Sorting Color Objects. The Fourth Postgraduate Engineering Conference, 745, 012030. http://doi.org/10.1088/1757-899X/745/1/012030.

Aggarwal, V.; Gagandeep. (2018). A review:deep learning technique for image classification. ACCENTS Transactions on Image Processing and Computer Vision, 21-24. http://doi.org/10.19101/TIPCV.2018.411003.

Kraleva, R.; Kralev, V.; Sinyagina, N.; Koprinkova-Hristova, P.; Bocheva, N. (2018). Design and Analysis of a Relational Database for Behavioral Experiments Data Processing. International Journal of Online Engineering, 14, 117-129. https://doi.org/10.3991/ijoe.v14i02.7988.

Kumar, S.; Tiwar, P.; Zymbler, M. (2019). Internet of Things is a revolutionary approach for future technology enhancement: a review. Journal of Big Data, 6, 111. https://doi.org/10.1186/s40537-019-0268-2.

5 Metode Penelitian Rekayasa Perangkat Lunak. (accessed on 8 February 2022) Available online: https://sites.google.com/a/student.unsika.ac.id/alex-mulyana-11070/assignments/5metodepenelitian/5-metode-penelitian-rekayasa-perangkat-lunak.

Ramdhani, A.; Ramdhani, M.A.; Amin, A.S. (2014). Writing a Literature Review Research Paper: A step-by-step approach. International Journal of Basics and Applied Sciences, 47-55.

Berg, K.L.; Seymour, T.; Goel, R. (2013). History Of Databases. International Journal of Management & Information Systems, 17, 29-34. https://doi.org/10.19030/ijmis.v17i1.7587.

What’s the Difference Between the Front-end and Backend. (accessed on 8 February 2022) Available online: https://www.uobabylon.edu.iq/eprints/publication_4_27425_1402.pdf

CSS Cascading Style Sheets. (accessed on 21 January 2022) Available online: https://www.tutorialspoint.com/css/css_tutorial.pdf.

JavaScript javascript language. (accessed on 21 January 2022) Available online: https://www.tutorialspoint.com/javascript/javascript_tutorial.pdf.

Sadiku, M.N.; Shadare, A.E.; Musa, S.M.; Akujuobi, C.M. (2016). Data Visualization. International Journal of Engineering Research and Advanced Technology, 2, 11-14.

Sihombing, W.W.; Aryadita, H.; Rusdianto, D.S. (2018). Perancangan Dashboard untuk Monitoring dan Evaluasi. Journal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3, 435-436.

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About this article

SUBMITTED: 26 April 2023
ACCEPTED: 07 June 2023
PUBLISHED: 10 June 2023
SUBMITTED to ACCEPTED: 42 days
DOI: https://doi.org/10.53623/gisa.v3i1.251

Cite this article

Afira, F. ., & Simatupang, J. W. (2023). Real-Time Web-based Dashboard using Firebase for Automated Object Detection Applied on Conveyor. Green Intelligent Systems and Applications, 3(1), 35–47. https://doi.org/10.53623/gisa.v3i1.251

Keywords

Conveyor Webcam Firebase Database Dashboard

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